37 Ai Infrastructure Jobs

Role Overview: At Ramboll Tech, as a Lead Machine Learning Engineer, you will be responsible for creating cutting-edge AI solutions while mentoring others and fostering a culture of collaboration and growth. Your role will involve shaping the technical roadmap, contributing to the implementation of best practices, and working with global teams to deliver impactful AI solutions. Key Responsibilities: - Define architectural patterns for scalable LLM pipelines, ensuring robust versioning, monitoring, and adherence to best practices. - Drive the integration of external knowledge bases and retrieval systems to augment LLM capabilities. - Research and develop effective RAG architectures and technologies for organizing complex domain-specific data. - Explore and benchmark state-of-the-art LLMs, tuning, adaptation, and training for performance and cost efficiency. - Incorporate recent trends like instruction tuning, RLHF, or LoRA fine-tuning for domain customization. - Analyze models for quality, latency, sustainability metrics, and cost, implementing improvements for better outcomes. - Define and own the ML-Ops for your Pod. - Develop experiments for model evaluation and improvement, aligned with evolving industry standards. - Establish scalable coding standards and best practices for maintainable and production-ready systems. - Mentor ML engineers to foster their personal growth. Qualifications: - Bachelors or Masters degree in Computer Science, Engineering, or a related field. - Minimum 5 years of experience implementing machine learning projects. - At least 2 years in a senior or lead role. - Demonstrated expertise in integrating modern LLMs into production systems. - Proven leadership in driving technical projects to successful completion in agile environments. - Strong communication skills to align technical solutions with business goals. - Ability to mentor and foster innovation within the team. - Strong expertise in building Retrieval-Augmented Generation (RAG) architectures and integrating with vector and graph databases. - In-depth experience with modern Transformer-based LLMs. - Demonstrated ability to fine-tune and optimize LLMs for quality, latency, sustainability, and cost-effective performance. - Advanced Python proficiency and expertise with frameworks like PyTorch, TensorFlow, Hugging Face, or LangChain. - Experience with containerization tools (e.g. Docker, Kubernetes) and workflow management tools. - Hands-on experience with (preferably Azure) Cloud environments for scalable AI deployment. - Experience with relational (SQL), NoSQL databases. - Familiarity with platforms like Snowflake or Databricks. Additional Details of the Company: At Ramboll Tech, the team culture is crucial, focusing on exchanging ideas, supporting each other, and fostering a strong team spirit. The company values diversity and aims to continuously learn and grow from one another. Ramboll is a global architecture, engineering, and consultancy firm committed to creating a livable world where people thrive in healthy nature. Ramboll Tech accelerates innovation and digital transformation within the company and collaborates on AI projects. The company is dedicated to equality, diversity, and inclusion, providing an inclusive work environment where everyone can flourish and reach their potential.,

What Youll Do Architect the Future: Lead the end-to-end design and development of our AI infrastructure, encompassing hardware, software, networking, and multi-cloud environments Innovate and Evaluate: Assess, select, and implement the best-in-class technologies, tools, and frameworks (e.g., TensorFlow, PyTorch, Kubernetes, Docker) to build and maintain our AI platforms. Optimize for Performance: Engineer and implement infrastructure that scales seamlessly with our evolving AI/ML needs, continuously monitoring and optimizing for both performance and cost-efficiency. Champion Security and Compliance: Define and enforce infrastructure standards and best practices, ensuring unwavering compliance with security policies, data protection regulations, and ethical AI principles. Build Data-Driven Pipelines: Collaborate on the architecture and implementation of highly efficient data pipelines for our AI models, from ingestion and storage to processing and management. Lead and Inspire: Provide technical leadership and mentorship to cross-functional teams, fostering a culture of excellence and best practices in AI infrastructure. Solve Complex Challenges: Diagnose and resolve intricate infrastructure issues, ensuring the high availability and reliability of all our AI systems. Stay Ahead of the Curve: Keep your finger on the pulse of the latest advancements in AI, machine learning, and cloud computing, driving innovation within the organization. Document for Success: Create and maintain comprehensive documentation for all AI infrastructure designs, implementations, and operational procedures. What Youll Bring Education: A bachelors or masters degree in computer science, Engineering, or a related field. Experience: 15+ years of experience in infrastructure architecture. A minimum of 3-5 years of dedicated experience in designing and building AI-specific infrastructure. Proven success in deploying scalable and secure AI solutions in cloud environments Extensive, hands-on experience with containerization and orchestration technologies like Docker and Kubernetes. Technical Prowess: Proficiency with the command line and experience with both cloud-native and on-premise data center deployments. A strong understanding of deep learning architectures and the latest developments in Large Language Models (LLMs). Expertise in NVIDIA hardware and software, including performance tuning and diagnostics. Hands-on experience with GPU systems, including performance testing, tuning, and benchmarking. Proficiency in programming languages such as Python. A deep understanding of cloud service models (IaaS, PaaS, SaaS) and cloud-native architectures. In-depth knowledge of networking, storage, and security best practices in a cloud context. Experience with Infrastructure as Code (IaC) tools like Terraform or CloudFormation. Familiarity with DevOps and MLOps principles and practices. Soft Skills: Exceptional problem-solving and analytical abilities with a data-driven approach. Excellent communication and interpersonal skills, capable of articulating complex technical concepts to diverse audiences. Proven ability to lead, mentor, and collaborate effectively within a team environment. A strategic mindset with the ability to align technical solutions with overarching business goals. A proactive, adaptable, and continuous learner who thrives in a dynamic technological landscape.

As a member of the SAP team, you will be contributing to shaping the future of over 20 industries and impacting 80% of global commerce. Your unique talents are needed to help drive innovation and shape what's next in the ever-evolving world of technology. The work may be challenging, but it is meaningful. At SAP, you will have the opportunity to be yourself, prioritize your well-being, and be part of a team that values your growth and success. Joining SAP's AI engineering group means becoming part of a collaborative and mission-driven team focused on building distributed systems and AI infrastructure at scale. Working closely with product managers, researchers, and architects, you will be involved in delivering innovative solutions that power SAP's next-generation AI and LLM capabilities. In a leadership role within this team, you will have the chance to influence SAP's AI strategy, mentor talented engineers, and lead projects with a global impact. The culture at SAP is grounded in trust, autonomy, and a shared commitment to innovation and excellence. SAP's innovations benefit over four hundred thousand customers worldwide, enabling more efficient collaboration and effective business insight. From enterprise resource planning (ERP) software to end-to-end business application software, SAP has established itself as a market leader in various domains. As a cloud company with millions of users and a strong global presence, SAP is dedicated to driving purposeful innovation and fostering a collaborative team environment focused on personal development. At SAP, inclusivity is a core value, along with a focus on health, well-being, and flexible working models to ensure that every individual, regardless of background, can thrive. The company recognizes the strength in diversity and invests in employees to help them realize their full potential. SAP is committed to creating a better world by unleashing the talents of all individuals. If you are interested in joining SAP and require accommodations or special assistance during the application process, please reach out to the Recruiting Operations Team at Careers@sap.com. For SAP employees, the Employee Referral Program is available for permanent roles based on the eligibility criteria outlined in the SAP Referral Policy. Successful candidates may undergo a background verification process conducted by an external vendor. For details on the ethical use of AI in SAP's recruitment process, please refer to the Guidelines for Ethical Usage of AI in the Recruiting Process. Please be aware that any violation of these guidelines may lead to disqualification from the hiring process. SAP is committed to Equal Employment Opportunity values and provides accessibility accommodations for applicants with physical and/or mental disabilities. The company believes in unleashing the potential of all talent to create a more inclusive and better world for everyone.,

Hello Candidate, Greetings from Hungry Bird IT Consulting Services Pvt Ltd. We are hiring Senior AI Infrastructure Management Engineer for our client. Job Title: Senior AI Infrastructure Management Engineer Location: Hyderabad Job Type: Full-Time Work Mode: Hybrid E xperience Required: 6+ Years Job Summary: We are seeking a highly skilled Senior AI Infrastructure Management Engineer with expertise in Azure , AWS , and AI/ML deployment environments. This role demands deep technical knowledge of Linux , DevOps practices , cloud architecture , and AI/ML operations (MLOps/AIOps) . The ideal candidate will be responsible for architecting, deploying, and maintaining scalable and secure infrastructure for enterprise AI applications. Key Responsibilities: Linux System Expertise Manage and optimize Linux systems (CentOS, Ubuntu, Red Hat) Perform kernel tuning, file system configuration, and network optimization Develop shell scripts for automation and system management. Cloud Infrastructure (AWS & Azure) Design and implement secure, scalable cloud architectures on AWS and Azure Use services like EC2, S3, Lambda, Azure VMs, Blob Storage, and Functions Manage hybrid and multi-cloud environments and ensure seamless integration Infrastructure as Code (IaC) Automate infrastructure provisioning using Terraform , CloudFormation , or similar tools Maintain infrastructure versioning and ensure traceability of changes Enforce DevSecOps best practices and secure configurations AI/ML Infrastructure Management Deploy and manage cloud infrastructure for AI/ML workloads including GPUs Scale resources (GPU/CPU) for training and inference workloads Deploy AI/ML apps using Docker and Kubernetes Ensure high availability, performance, and reliability of AI applications Work on MLOps/AIOps pipelines for model deployment and monitoring Qualifications: Bachelor's degree in Computer Science, Engineering, or related field 6+ years of experience in Infrastructure/Cloud/DevOps roles Strong experience with AWS , Azure , and Linux systems Experience in AI/ML infrastructure setup and management Proficient in scripting: Python , Bash , PowerShell Hands-on with Kubernetes , Docker , and cloud-native services Experience with DevSecOps principles and CI/CD tools Certifications (preferred): AWS Solution Architect Associate / Cloud Practitioner Azure DevOps Engineer / Administrator Certified Kubernetes Administrator (CKA) Preferred Skills: Experience with GPU cluster management for AI workloads Strong knowledge of cloud security and compliance Familiarity with real-time monitoring and logging tools Exposure to modern data stacks and AI lifecycle management What We Offer: Work on high-impact, global AI infrastructure projects Access to continuous learning via online platforms and sponsored certifications Participate in Tech Talks, Hackathons, and R&D initiatives Comprehensive benefits: health insurance, retirement plans, flexible hours Supportive work environment promoting innovation and personal growth (Interested candidates can share their CV with us at or reach us at aradhana@hungrybird.in .) PLEASE MENTION THE RELEVANT POSITION IN THE SUBJECT LINE OF THE EMAIL. Example: KRISHNA, HR MANAGER, 7 YEARS, 20 20DAYS NOTICE. Name: Position applying for: Total experience: Notice period: Current Salary: Expected Salary: Thanks and Regards Aradhana +91 9959417171 aradhana@hungrybird.in

We are looking for a Datacentre / Hybrid Cloud AI Infrastructure Architect to join our team. In this role, you will be responsible for leading the design, implementation, and optimization of AI infrastructure. Your main tasks will include conducting infrastructure assessments, developing technology roadmaps, recommending solutions, designing architectures, collaborating with stakeholders, optimizing performance, and ensuring security and compliance. As a Datacentre / Hybrid Cloud AI Infrastructure Architect, you should have at least 10-14 years of experience in technical roles, with a focus on Hybrid and Cloud Technologies. You will need a deep understanding of on-premises and cloud technologies, strong analytical skills, and the ability to work collaboratively with cross-functional teams. Key Responsibilities: 1. Infrastructure Assessment: Evaluate existing IT infrastructure for hybrid and cloud environments, identify gaps and risks. 2. Roadmap Development: Create detailed plans to modernize infrastructure in line with business goals. 3. Technology Recommendations: Recommend technology solutions based on business needs and provide cost-benefit analysis. 4. Architecture Design: Design scalable and cost-effective AI infrastructure solutions for on-premises and hybrid cloud environments. 5. Collaboration and Leadership: Work with stakeholders to gather requirements and provide technical leadership during solution design. 6. Cloud and Hybrid Design and Integration: Design migration strategies and ensure seamless integration between on-premises and cloud infrastructures. 7. Performance Optimization: Monitor and optimize infrastructure performance, scalability, and reliability. 8. Security and Compliance: Ensure solutions meet security standards and compliance requirements. Qualifications and Skills: - Bachelor's degree in computer science, Information Technology, or related field. - Minimum of 10+ years of experience in IT infrastructure roles, including 5+ years as an Infrastructure Architect. - Strong knowledge of HCI, cloud platforms (AWS, Azure, Google Cloud), and virtualization technologies. - Experience with Observability tools, infrastructure automation tools, cloud platforms, containerization technologies, network architecture, storage solutions, and security frameworks. - Excellent communication and presentation skills, problem-solving abilities, and the capacity to manage multiple priorities effectively. If you are passionate about leveraging AI and machine learning to drive innovation and business growth, and possess the required qualifications and skills, we encourage you to apply for the Datacentre / Hybrid Cloud AI Infrastructure Architect position. Kindly share your resume with us at praveena.madhankumar@wipro.com.,

As a Generative AI Project Manager / Tech Lead, you will be responsible for overseeing the development and deployment of AI-driven solutions. Your role will involve managing AI/ML projects, guiding technical teams, and ensuring seamless integration of AI applications across business operations. You will collaborate closely with Clients, developers, and stakeholders to drive innovation, optimize AI workflows, and deliver impactful AI solutions. Your key responsibilities will include leading and managing AI/ML projects to ensure timely delivery and high-quality execution. You will also architect and supervise the development of Generative AI models, chatbots, and other AI-driven applications. Collaborating with data scientists and engineers, you will design and implement NLP, deep learning, and LLM-based solutions. Additionally, you will optimize AI models for performance, scalability, and real-world applications, while also integrating AI solutions with existing enterprise systems to ensure smooth deployment. It is essential for you to stay updated with the latest advancements in Generative AI, LLMs, and machine learning. The ideal candidate for this role should possess strong expertise in Generative AI, Large Language Models (LLMs), and NLP technologies. Proficiency in Python, TensorFlow, PyTorch, LangChain, Hugging Face, and OpenAI/Gemini APIs is required. Hands-on experience in chatbot/AI agent development and deployment is a must, along with a solid background in software development, cloud platforms such as Azure, AWS, GCP, and AI infrastructure. You should also demonstrate a proven ability to manage AI/ML projects and lead cross-functional teams, while possessing strong problem-solving, analytical, and communication skills. A Bachelors or Masters degree in Computer Science, AI, or related fields is preferred for this position.,

About Guidesly: Do you enjoy the Outdoors? Are you an enthusiast who wants to work in a place where you can follow your personal and professional passions? Guidesly is a well-funded startup building software for the Outdoor industry. Mobile apps, SaaS software, product services, and websites; we have a bit of everything. Sophisticated technology and a dream to change the world. If your passion is the outdoors and you want to live your dream, then this is your job. Work with guides, build products, get honest feedback from enthusiasts to create the very best solutions in the marketplace. The outdoor recreation industry includes fishing, wildlife, boating, water sports, snow sports, hunting, ATV, hiking, and biking. We are starting with the fishing vertical in the outdoor recreation industry. The product manager will work with professional guides throughout the United States and enthusiasts in all fishing varieties. Key Responsibilities: Develop and deploy machine learning, deep learning and NLP models for AI applications. Process and analyze large datasets, including feature extraction, vectorization, and embedding-based retrieval. Build and maintain backend systems and APIs to support AI-powered applications. Implement scalable AI solutions in cloud environments, primarily AWS. Develop end-to-end pipelines for model training, testing, and deployment using AWS services such as SageMaker, Bedrock, Lambda, and Step Functions. Optimize AI models for efficiency, scalability, and low-latency inference. Implement MLOps best practices for continuous integration, deployment, and monitoring of AI models. Document system architecture, API specifications, and performance benchmarks. Stay up to date with advancements in AI, including LLMs, FAISS, and deep learning frameworks, to drive innovation. Required Skills & Qualifications: Hands-on experience in AI/ML development, with expertise in natural language processing (NLP) and/or computer vision. Proficiency in Python, SQL, and machine learning libraries such as TensorFlow, PyTorch, and Scikit-learn. Strong understanding of LLM architectures, embeddings, and transformer-based models. Hands-on experience processing large datasets, including feature engineering, embedding retrieval, and vectorization. Experience with Cloud Services (Preferably AWS) for model deployment, data processing, and cloud-based AI solutions. Strong grasp of MLOps principles, including CI/CD pipelines, model monitoring, and workflow automation. Strong analytical and problem-solving skills with a proactive approach to AI model optimization. Excellent communication and teamwork skills to collaborate effectively with engineers, data scientists, and stakeholders. Key Technologies & Tools: Languages & Frameworks: Python, SQL, TensorFlow, PyTorch, Hugging Face Data Processing & Feature Engineering: Vectorization, Embeddings, FAISS Cloud & AI Services: AWS SageMakerAI, Bedrock, Lambda, Step Functions, Inference MLOps & Model Deployment: CI/CD, Model Optimization, API Integration Workflow Automation & AI Infrastructure Key skills: Machine Learning, Deep Learning, Python, SQL, TensorFlow, PyTorch, Hugging Face, AWS SageMakerAI, Lambda, Model Optimization, API Integration, AI Infrastructure

As a high-performing Director AI Product Sales at ChabezTech LLC, a fast-growing AI technology company specializing in Natural Language Processing (NLP), Generative AI, and scalable AI infrastructure, your primary responsibility will be to lead enterprise sales initiatives in India and APAC. You will be instrumental in driving the adoption of the AI product suite, including the SaaS NLP platform, Generative AI APIs, and AI infrastructure solutions within mid to large-scale enterprises. Your role will involve owning and driving end-to-end sales of AI products across enterprise accounts, building and managing strategic relationships with CXOs, CTOs, and technical decision-makers, defining and executing GTM strategies tailored to vertical and regional dynamics, leading consultative sales engagements, and closing high-value deals. Collaboration with internal teams to ensure seamless solution delivery and customer success will be crucial, along with acting as a subject matter expert and representing ChabezTech at key industry forums. The ideal candidate for this position would have a background of 8+ years in enterprise B2B SaaS sales, with at least 3 years of experience in AI/data product sales. A proven track record of selling platforms related to NLP, Generative AI, or AI infrastructure, closing large enterprise deals, managing complex sales cycles, and effectively communicating AI product value to both business and technical stakeholders is essential. Additionally, being based in Bangalore or open to relocation, possessing strong leadership, negotiation, and relationship-building skills are key qualifications for this role. In return, ChabezTech offers you the opportunity to lead the regional growth of next-gen AI solutions, competitive compensation with performance-based incentives, a flexible, innovation-driven work culture with global exposure, the chance to work with world-class AI talent and enterprise clients, and fast-track growth within a scaling technology company. Thank you for considering this exciting opportunity at ChabezTech LLC. Best Regards, Utsav Burman Sr. Manager (Head North America Ops) ChabezTech LLC 4 Lemoyne Dr #102, Lemoyne, PA 17043, USA +1-717-441-5440 (US) | +91-8097 164 089 (India) utsav@chabeztech.com | www.chabeztech.com GSA Multiple Award Schedule (MAS) | E-Verify Company,

As the Chief AI Officer (CAIO) at RChilli in Mohali, you will play a pivotal role in driving the AI strategy, innovation, and ethical AI deployment in HR Tech. With over 10 years of experience in AI/ML, including leadership roles, you will lead the development and execution of RChilli's AI strategy aligned with business goals. Your responsibilities will include ensuring ethical AI implementation, implementing AI for automated job descriptions, resume scoring, and candidate recommendations, and overseeing AI-powered chatbots and workforce planning. You will be responsible for leading AI research & development in areas such as NLP, machine learning, and predictive analytics. Leveraging Generative AI for automating job descriptions, Conversational AI for chatbots, and Transformative AI for workforce planning will be crucial aspects of your role. Additionally, you will identify opportunities for AI implementation, assess third-party AI tools, and collaborate with cross-functional teams to integrate AI into HRTech solutions. Your technical expertise in NLP, machine learning, deep learning, and predictive analytics, along with leadership skills in aligning AI innovation with business goals, will be essential. You will work towards building and mentoring an AI team, promoting AI literacy across the organization, and representing RChilli in AI forums and industry partnerships. Joining RChilli will provide you with the opportunity to lead AI innovation, drive impactful work in HR operations and talent acquisition, and enjoy competitive compensation and career growth opportunities. If you are a visionary AI leader ready to shape the future of HRTech, RChilli welcomes you to join as our Chief AI Officer.,

As an experienced professional with a minimum of 8 years of experience, you will be responsible for architecting and implementing scalable solutions for training and fine-tuning Language Model Models (LLMs). Your role will involve applying prompt engineering, transfer learning, and optimization techniques to enhance model performance. Additionally, you will integrate LLMs into customer-facing applications such as chatbots, VOICE AI agents, Expert AI agents, and recommendation engines. Collaboration with Customer Experience (CX) and product teams will be a key aspect of this role, as you work towards embedding AI into customer journeys to improve personalization, automation, and engagement. Designing AI-driven solutions for omnichannel support, sentiment analysis, and real-time feedback loops will also be part of your responsibilities. Ensuring that AI systems align with customer satisfaction goals and ethical AI principles is essential. In this position, you will provide technical leadership and manage a multidisciplinary team of AI engineers, data scientists, and MLOps professionals. It will be crucial to drive agile development practices and cultivate a culture of innovation and accountability within the team. Your role will involve conducting and applying research in Natural Language Processing (NLP), LLMs, and AI infrastructure to address real-world customer experience challenges. You will have the opportunity to contribute to publications, patents, or open-source initiatives as appropriate. Guiding the team and maintaining detailed architecture diagrams, design documents, and technical specifications will also be part of your responsibilities. This position is based in Pune (Wakad) and requires an immediate joiner or a notice period of up to 30 days.,

Join a company that is pushing the boundaries of what is possible. Renowned for technical excellence, leading innovations, and making a difference to clients and society, NTT DATA values diversity and inclusion. It is a workplace where you can grow, belong, and thrive. NTT DATA, a $30+ billion trusted global innovator of business and technology services, serves 75% of the Fortune Global 100. Committed to helping clients innovate, optimize, and transform for long-term success, the company invests over $3.6 billion annually in R&D. This investment aims to assist organizations and society in moving confidently and sustainably into the digital future. As a Global Top Employer, NTT DATA boasts diverse experts in more than 50 countries and a robust partner ecosystem of established and startup companies. The services provided include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation, and management of applications, infrastructure, and connectivity. NTT DATA is also a leading provider of digital and AI infrastructure globally. The company is part of the NTT Group and headquartered in Tokyo. NTT DATA is an Equal Opportunity Employer.,

You will play a pivotal role in our transformative journey to build a strategic AI Cloud Service at Oracle focused on delivering advanced AI capabilities across various domains such as language, vision, speech, text-to-speech (TTS), document understanding, translation, and a range of AI solutions. Your vision will contribute towards empowering Oracle PAAS and SAAS applications with intelligent, scalable, and impactful solutions, redefining the enterprise experience. As the Architect of the AI Engineering Team, you will be responsible for driving the development and deployment of next-generation AI capabilities within Oracle's AI Cloud Service portfolio. Your leadership will guide a talented engineering team towards fostering innovation, technical excellence, and collaboration to deliver AI-powered features that will be foundational to Oracle Fusion applications and key initiatives across Oracle's ecosystem. Your focus will be on developing tailored AI solutions for vertical use cases including Medical Smart Call Centers, Public Safety, Responsible AI, Digital Assistants, Biometrics, and Oracle Fusion applications. Your contributions will be instrumental in developing specialized AI capabilities that enhance customer engagement, ensure compliance with responsible AI practices, support public safety, and enable robust biometric solutions, providing strategic impact across critical domains. Key Responsibilities: - Utilize your expertise in AI and ML to build advanced language, vision, and speech capabilities for intelligent, context-aware solutions across the Oracle Fusion suite and industry-specific use cases. - Develop and execute a strategic roadmap for AI-first enterprise applications aligning with Oracle's broader objectives and industry trends. - Design scalable, enterprise-grade AI architectures that power Oracle AI Cloud Service products. - Drive foundational innovations by designing horizontal AI solutions that integrate seamlessly across Oracle Fusion applications and industry-specific AI solutions. - Collaborate with cross-functional teams to define a forward-looking AI roadmap aligned with Oracle's business objectives and industry trends. - Ensure AI models and services meet enterprise-grade performance, scalability, and reliability requirements. - Provide technical guidance to engineering teams, mentoring AI engineers, and fostering a culture of innovation and technical excellence. As an Architect in the software engineering division, you will leverage your extensive software architecture expertise to guide software development tasks associated with creating, debugging, or designing software applications, operating systems, and databases according to present and future specifications. You will enhance current architecture and envision potential improvements, working across multiple Oracle AI Cloud Service products. Qualifications: - Masters or PhD in Data Science/Computer Science/Artificial Intelligence or Engineering, or a related field. - 8+ years of experience in AI/ML, cloud computing, and enterprise-scale software architecture. - Expertise in designing and deploying language, vision, speech, and document understanding AI systems will be an additional plus. - Deep knowledge of cloud-native architectures, microservices, and AI infrastructure. - Proven track record of delivering AI-powered enterprise applications. - Strong problem-solving skills with the ability to bridge research and production AI. - Excellent communication skills with a passion for innovation and thought leadership. - Experience in healthcare, public safety, or enterprise AI is a plus. - Strong leadership and team-building skills with a passion for mentorship and talent development. - Strategic thinker with an ability to translate complex technical vision into actionable, results-driven plans.,

As the Chief AI Officer (CAIO) at RChilli, located in Mohali, you will play a pivotal role in shaping the AI strategy, innovation, and ethical deployment in HR Tech. With over 10 years of experience in AI/ML and leadership roles, you will lead the AI research and development initiatives, ensuring alignment with business objectives and compliance with industry regulations. Your responsibilities will include developing and executing the AI strategy, driving product innovation through NLP, machine learning, and predictive analytics, and overseeing the implementation of AI-powered solutions such as automated job descriptions, resume scoring, and chatbots. You will also be responsible for defining a scalable AI roadmap, managing AI infrastructure, and identifying opportunities for AI implementation to enhance operational efficiency. In addition to your technical expertise in AI, data science, and related fields, you will need to possess strong leadership and business skills. Your ability to align AI innovation with business goals, communicate effectively with stakeholders, and build and mentor an AI team will be crucial for success in this role. As a thought leader in the industry, you will represent RChilli in AI forums and conferences, staying ahead of AI trends and advancements in HRTech. By joining RChilli, you will have the opportunity to lead AI innovation, drive impactful work in HR operations and talent acquisition, and work with a passionate AI research and product team. In return, you will enjoy a competitive salary, benefits, and career growth opportunities. If you are a visionary AI leader ready to transform the HRTech industry, seize this opportunity to join RChilli as our Chief AI Officer and make a significant impact on the future of AI-driven HR solutions.,

You will be joining a company that balances innovation with an open, friendly culture and the support of a well-established parent company known for its ethical reputation. At this company, the focus is on guiding customers from their current state to the next phase by leveraging the value of their data and applications to address digital challenges, ultimately benefiting both businesses and society. As an AI Infrastructure Architect, you will be responsible for leading the end-to-end design and development of AI infrastructure, spanning hardware, software, networking, and multi-cloud environments. Your role will involve assessing, selecting, and implementing cutting-edge technologies, tools, and frameworks to build and maintain AI platforms. You will also be tasked with engineering and implementing infrastructure that can seamlessly scale with evolving AIML needs while prioritizing performance and cost efficiency. In addition to technical responsibilities, you will play a key role in defining and enforcing infrastructure standards and best practices to ensure compliance with security policies, data protection regulations, and ethical AI principles. Collaboration on designing highly efficient data pipelines for AI models and providing technical leadership and mentorship to cross-functional teams will also be part of your duties. To excel in this role, you are required to have a Bachelor's or Master's degree in Computer Science, Engineering, or a related field, along with 15 years of experience in infrastructure architecture. Specifically, you must have at least 3-5 years of dedicated experience in designing and building AI-specific infrastructure, deploying scalable and secure AI solutions in cloud environments, and hands-on experience with containerization and orchestration technologies like Docker and Kubernetes. Proficiency in programming languages such as Python, a deep understanding of cloud service models, and expertise in NVIDIA hardware and software are essential qualifications. Moreover, you should possess exceptional problem-solving and analytical skills, excellent communication and interpersonal abilities, and a strategic mindset aligned with business goals. Being proactive, adaptable, and a continuous learner in the dynamic technological landscape will be advantageous for this role.,

ABOUT XENONSTACK XenonStack is the fastest-growing data and AI foundry for agentic systems, enabling people and organizations to gain real-time and intelligent business insights. Agentic Systems for AI Agents: akira.ai Vision AI Platform: xenonstack.ai Inference AI Infrastructure for Agentic Systems: nexastack.ai THE OPPORTUNITY We are seeking an Agentic Infrastructure Observability Engineer to design, implement, and maintain visibility, monitoring, and assurance systems for large-scale AI agent deployments. This role focuses on observability, telemetry, and evaluation pipelines across multi-agent and multi-context workflows, ensuring AI systems are measurable, trustworthy, and compliant in enterprise and regulated environments. If you're passionate about SRE principles for AI, LLM evaluation, and agentic system transparency, this role offers the chance to shape observability for the next generation of intelligent automation. RESPONSIBILITIES Design and Implement Telemetry Pipelines Build observability infrastructure to capture logs, metrics, traces, and behavioral data from AI agents, orchestration layers, and integrated tools. Develop Evaluation Dashboards & KPIs Track accuracy, latency, reliability, cost, token usage, and success rates for agentic workflows. Enable Full-Stack Tracing Build execution flow tracing for multi-agent, multi-tool pipelines, with attribution for each decision, prompt, and retrieval step. Monitor Behavioral Reliability Detect and flag hallucinations, decision drift, prompt degradation, or tool misuse in real time. Integrate with Evaluation Frameworks Work with LLM eval tools like TruLens, Ragas, Arize AI, and custom scoring systems for continuous quality monitoring. Ensure Compliance & Auditability Implement observability features for regulatory audits (e.g., PCI-DSS, GDPR), including secure logging of prompts, retrieved context, and decisions. Cost & Resource Observability Track model/API usage, compute cost, and token consumption to enable optimization decisions. Collaborate Across Teams Partner with AgentOps Engineers, AI Interaction Engineers, and Model Reliability teams to turn observability insights into operational improvements. SKILLS & QUALIFICATIONS Must-Have: 35 years in SRE, DevOps, AI infrastructure, or ML systems engineering. Proficiency in Python and observability stacks (Prometheus, OpenTelemetry, Grafana, ELK, etc.). Familiarity with LLM architectures, multi-agent orchestration frameworks (LangGraph, LangChain, AgentBridge), and context pipelines. Experience with logging, tracing, and performance profiling for distributed systems. Understanding of LLM evaluation metrics (factuality, coherence, toxicity, cost efficiency). Knowledge of privacy and compliance standards for AI systems. Good-to-Have: Hands-on experience with LLM eval tools (TruLens, Ragas, Arize AI, Weights & Biases). Familiarity with RAG, vector databases, and knowledge graph-based retrieval. Experience in regulated industries (BFSI, healthcare, GRC). Background in anomaly detection or behavioral monitoring for ML systems. CAREER GROWTH & BENEFITS Continuous Learning & Growth Training and certifications in AI observability, LLM evaluation, and Responsible AI. Hands-on exposure to enterprise-scale agentic infrastructure. Recognition & Rewards Incentives for innovations in AI observability and monitoring. Fast-track opportunities into AI Reliability Architecture or Model Ops Leadership roles. Work Benefits & Well-Being Comprehensive medical insurance and project-based allowances. Cab facilities for women employees and special project perks. XENONSTACK CULTURE JOIN US & MAKE AN IMPACT! We foster a culture of cultivation with bold, human-centric leadership principles. We value deep work, experimentation, and ownership in every initiative, and we are on a mission to reshape how enterprises adopt AI + Human Intelligence systems. Product Values: Obsessed with Adoption Making AI accessible and enterprise-ready. Obsessed with Simplicity Turning complexity into seamless, intuitive AI experiences. Be a part of our vision to accelerate the world's transition to AI + Human Intelligence.,

As a member of NTT DATA, you will have the opportunity to make a significant impact by joining a company that is at the forefront of pushing the boundaries of what is possible. Our organization is highly regarded for its technical excellence, leading innovations, and the positive difference we make to our clients and society. Embracing diversity and inclusion, our workplace is designed to foster growth, a sense of belonging, and the ability to thrive. In this role, you will be expected to continually enhance your knowledge and skills. Your work will be periodically reviewed based on established procedures or precedence, and you will receive general instructions for your tasks and assignments. Additionally, you will have the opportunity to learn and apply professional concepts as you progress in your career. Problem-solving will be a key aspect of your responsibilities, as you will be required to utilize your knowledge and basic techniques to define and resolve issues within a limited scope. You will interact with colleagues, your immediate line manager, and team leaders to exchange standard information and establish stable working relationships internally. Your accountability will involve determining appropriate courses of action based on guidelines, standard practices, and procedures. The workplace type for this position is on-site working, providing you with a collaborative environment to contribute effectively to the organization's goals. NTT DATA is a trusted global innovator in business and technology services, with a commitment to helping clients innovate, optimize, and transform for long-term success. With a significant investment in research and development, we aim to support organizations and society in confidently transitioning into the digital future. As a Global Top Employer, we boast a diverse team of experts across more than 50 countries and maintain a robust partner ecosystem. Our services encompass business and technology consulting, data and artificial intelligence solutions, industry-specific offerings, and the development, implementation, and management of applications, infrastructure, and connectivity. NTT DATA is a leading provider of digital and AI infrastructure globally and is a part of the NTT Group, with headquarters in Tokyo. NTT DATA is proud to be an Equal Opportunity Employer, fostering an inclusive and supportive work environment for all employees.,

Ready to embark on a journey where your growth is intertwined with our commitment to making a positive impact Join the Delphi family - where Growth Meets Values. At Delphi Consulting Pvt. Ltd. , we foster a thriving environment with a hybrid work model that lets you prioritize what matters most. Interviews and onboarding are conducted virtually, reflecting our digital-first mindset . We specialize in Data, Advanced Analytics, AI, Infrastructure, Cloud Security , and Application Modernization , delivering impactful solutions that drive smarter, efficient futures for our clients. About the Role: As a Strategy & Operations Associate, you will serve as the CEOs right handdriving strategic initiatives, improving business operations, and ensuring execution across teams. This role sits at the intersection of product strategy, business ops, finance, and internal process improvement. You will act as a force-multiplier, ensuring structure, momentum, and accountability throughout the organization. What you&aposll do: Partner directly with the CEO on high-impact strategic and operational priorities. Build and maintain internal operational playbooks, workflows, and SOPs. Ensure teams are aligned and processes are followed consistently across functions. Support budgeting, resource allocation, and financial planning in collaboration with finance. Own and execute daily ad-hoc and cross-functional tasks to keep the business moving. Track key KPIs, generate dashboards and prepare materials for leadership and stakeholders. Identify bottlenecks and help implement solutions to streamline operations. Serve as a connector between departments to enhance communication and collaboration. Support the development of new products and go-to-market strategies. What you&aposll bring: 25 years of experience in an IT consulting firm or similar professional services/tech environment. Proven experience working directly with founders, C-suite, or senior leadership. Process-oriented mindset with a strong ability to implement and enforce scalable systems. Excellent organizational and project management skills; thrives in a fast-paced, ever-changing environment. Financial acumen; experience with budgeting, planning, or performance tracking. Clear communicator with strong analytical and problem-solving capabilities. Experience in mid-sized or start-up companies is highly preferred. What Bonus If You Have: Experience supporting product/innovation or new service launches. Familiarity with tools like Notion, Airtable, Asana, or other internal ops systems. Exposure to financial modeling or basic data analysis. What We Offer: At Delphi, we are dedicated to creating an environment where you can thrive, both professionally and personally. Our competitive compensation package, performance-based incentives, and health benefits are designed to ensure you&aposre well-supported. We believe in your continuous growth and offer company-sponsored certifications, training programs , and skill-building opportunities to help you succeed. We foster a culture of inclusivity and support, with remote work options and a fully supported work-from-home setup to ensure your comfort and productivity. Our positive and inclusive culture includes team activities, wellness and mental health programs to ensure you feel supported. Show more Show less

You are looking for a DevOps Technical Lead who will play a crucial role in leading the development of an Infrastructure Agent powered by Generative AI (GenAI) technology. In this role, you will be responsible for designing and implementing an intelligent Infra Agent that can handle provisioning, configuration, observability, and self-healing autonomously. Your key responsibilities will include leading the architecture and design of the Infra Agent, integrating various automation frameworks to enhance DevOps workflows, automating infrastructure provisioning and incident remediation, developing reusable components and frameworks using Infrastructure as Code (IaC) tools, and collaborating with AI/ML engineers and SREs to create intelligent infrastructure decision-making logic. You will also be expected to implement secure and scalable infrastructure on cloud platforms such as AWS, Azure, and GCP, continuously improve agent performance through feedback loops, telemetry, and model fine-tuning, drive DevSecOps best practices, compliance, and observability, as well as mentor DevOps engineers and work closely with cross-functional teams. To qualify for this role, you should hold a Bachelor's or Master's degree in Computer Science, Engineering, or a related field, along with at least 8 years of experience in DevOps, SRE, or Infrastructure Engineering. You must have proven experience in leading infrastructure automation projects, expertise with cloud platforms like AWS, Azure, GCP, and deep knowledge of tools such as Terraform, Kubernetes, Helm, Docker, Jenkins, and GitOps. Hands-on experience with LLMs/GenAI APIs, familiarity with automation frameworks, and proficiency in programming/scripting languages like Python, Go, or Bash are also required. Preferred qualifications for this role include experience in building or fine-tuning LLM-based agents, contributions to open-source GenAI or DevOps projects, understanding of MLOps pipelines and AI infrastructure, and certifications in DevOps, cloud, or AI technologies.,

At PwC, our team focused on data and analytics applies data to drive insights and guide strategic business decisions. Utilizing advanced analytics techniques, we assist clients in optimizing operations and achieving their goals. As a member of our data analysis team, you will specialize in leveraging sophisticated analytical methods to extract valuable insights from extensive datasets, enabling data-driven decision-making. Your role will involve utilizing skills in data manipulation, visualization, and statistical modeling to support clients in resolving intricate business challenges. We are seeking a visionary Generative AI Architect at the Manager level to join PwC US - Acceleration Center. In this leadership position, you will be responsible for designing and implementing cutting-edge Generative AI solutions using technologies such as Azure OpenAI Service, GPT models, and multi-agent frameworks. Your role will involve driving innovation through scalable cloud architectures, optimizing AI infrastructure, and leading cross-functional teams in deploying transformative AI solutions. The ideal candidate will possess deep expertise in Generative AI technologies, data engineering, Agentic AI, and cloud platforms like Microsoft Azure, with a strong emphasis on operational excellence and ethical AI practices. Responsibilities: - **Architecture Design:** Design and implement scalable, secure, and high-performance architectures for Generative AI applications. Integrate Generative AI models into existing platforms and lead the development of AI agents capable of orchestrating multi-step tasks. - **Model Development And Deployment:** Fine-tune pre-trained generative models, develop data collection and preparation strategies, and deploy appropriate Generative AI frameworks. - **Innovation And Strategy:** Stay updated on the latest Generative AI advancements, recommend innovative applications, and define and execute AI strategy roadmaps. - **Collaboration And Leadership:** Collaborate with cross-functional teams, mentor team members, and lead a team of data scientists, GenAI engineers, devops, and software developers. - **Performance Optimization:** Monitor and optimize the performance of AI models, agents, and systems to ensure robustness and accuracy, as well as optimize computational costs and infrastructure utilization. - **Ethical And Responsible AI:** Ensure compliance with ethical AI practices, data privacy regulations, and governance frameworks, and implement safeguards against bias and misuse. Requirements: - Bachelors or masters degree in computer science, Data Science, or related field. - 8+ years of relevant technical/technology experience, with expertise in GenAI projects. - Advanced programming skills in Python and fluency in data processing frameworks like Apache Spark. - Experience with GenAI foundational models and open-source models. - Proficiency in system design for Agentic architecture and real-time data processing systems. - Familiarity with cloud computing platforms and containerization technologies. - Strong leadership, problem-solving, and analytical abilities. - Excellent communication and collaboration skills. Nice To Have Skills: - Experience with technologies like Datadog and Splunk. - Familiarity with emerging Model Context Protocols and dynamic tool integration. - Relevant solution architecture certificates and continuous professional development in data engineering and GenAI. Professional And Educational Background: BE / B.Tech / MCA / M.Sc / M.E / M.Tech / MBA/ Any Degree.,

About Guidesly: Do you enjoy the Outdoors? Are you an enthusiast who wants to work in a place where you can follow your personal and professional passions? Guidesly is a well-funded startup building software for the Outdoor industry. Mobile apps, SaaS software, product services, and websites; we have a bit of everything. Sophisticated technology and a dream to change the world. If your passion is the outdoors and you want to live your dream, then this is your job. Work with guides, build products, get honest feedback from enthusiasts to create the very best solutions in the marketplace. The outdoor recreation industry includes fishing, wildlife, boating, water sports, snow sports, hunting, ATV, hiking, and biking. We are starting with the fishing vertical in the outdoor recreation industry. The product manager will work with professional guides throughout the United States and enthusiasts in all fishing varieties. Key Responsibilities: Develop and deploy machine learning, deep learning and NLP models for AI applications. Process and analyze large datasets, including feature extraction, vectorization, and embedding-based retrieval. Build and maintain backend systems and APIs to support AI-powered applications. Implement scalable AI solutions in cloud environments, primarily AWS. Develop end-to-end pipelines for model training, testing, and deployment using AWS services such as SageMaker, Bedrock, Lambda, and Step Functions. Optimize AI models for efficiency, scalability, and low-latency inference. Implement MLOps best practices for continuous integration, deployment, and monitoring of AI models. Document system architecture, API specifications, and performance benchmarks. Stay up to date with advancements in AI, including LLMs, FAISS, and deep learning frameworks, to drive innovation. Required Skills & Qualifications: Hands-on experience in AI/ML development, with expertise in natural language processing (NLP) and/or computer vision. Proficiency in Python, SQL, and machine learning libraries such as TensorFlow, PyTorch, and Scikit-learn. Strong understanding of LLM architectures, embeddings, and transformer-based models. Hands-on experience processing large datasets, including feature engineering, embedding retrieval, and vectorization. Experience with Cloud Services (Preferably AWS) for model deployment, data processing, and cloud-based AI solutions. Strong grasp of MLOps principles, including CI/CD pipelines, model monitoring, and workflow automation. Strong analytical and problem-solving skills with a proactive approach to AI model optimization. Excellent communication and teamwork skills to collaborate effectively with engineers, data scientists, and stakeholders. Key Technologies & Tools: Languages & Frameworks: Python, SQL, TensorFlow, PyTorch, Hugging Face Data Processing & Feature Engineering: Vectorization, Embeddings, FAISS Cloud & AI Services: AWS SageMakerAI, Bedrock, Lambda, Step Functions, Inference MLOps & Model Deployment: CI/CD, Model Optimization, API Integration Workflow Automation & AI Infrastructure Key skills: Machine Learning, Deep Learning, Python, SQL, TensorFlow, PyTorch, Hugging Face, AWS SageMakerAI, Lambda, Model Optimization, API Integration, AI Infrastructure

As a full stack engineer with a passion for applied AI and cross-functional collaboration, you will have the opportunity to work closely with engineering leadership and the AI team to prototype, build, and scale the next generation of AI-native enterprise agents. This immersive role will allow you to deepen your expertise in large language model applications, AI-native system design, and human-AI interaction. You will gain hands-on exposure to the latest model capabilities, contribute to internal experimentation, and help translate cutting-edge AI ideas into real-world enterprise tools. Your responsibilities will include designing, building, and iterating on full stack systems that power enterprise AI agents from concept to deployment. You will research and evaluate new approaches to agent orchestration, prompting strategies, and model alignment. Building and optimizing data ingestion pipelines, as well as developing interfaces that simplify complex enterprise workflows for non-technical users, will be key aspects of your role. Collaboration with product, design, and engineering teams to enhance user experience and usability for enterprise users will also be part of your responsibilities. Additionally, you will share learnings, document findings, and contribute to the evolution of best practices. Participation in peer reviews, brainstorming sessions, and technical deep dives with the global team will be encouraged. The ideal candidate for this position will have at least 3 years of experience in a product-oriented software engineering role, preferably in enterprise or AI environments. A strong foundation in TypeScript, React, NextJS, and NodeJS for building frontend and API-first experiences is essential. Solid Python skills for AI backend development, data processing, and integration with AI systems are also required. Experience in building data ingestion pipelines and working with enterprise data sources, as well as the ability to thrive in fast-paced environments with a history of rapid learning and iteration, will be beneficial. An interest in research, rapid prototyping, staying updated on new AI advancements, and contributing to knowledge-sharing within the team is highly valued. Experience with large language models, prompt engineering, or AI infrastructure, as well as familiarity with enterprise service management platforms or workflow automation, will be advantageous for this role.,

You will be responsible for defining and executing the sales vision, strategy, and Go-To-Market plans for Data Center Solutions, Managed Services, and IT Infrastructure. This includes colocation, cloud, security services, and more. As a strategic leader, you will own the P&L, revenue targets, and market expansion across enterprise, mid-market, and emerging verticals. Your role will involve building, mentoring, and scaling high-performance sales teams using hunter-farmer models. You will optimize sales processes, KPIs, and enablement frameworks to drive accountability within the teams. Cultivating C-level relationships with enterprise clients and hyperscalers, such as CIOs and CISOs, will be crucial. Additionally, forging alliances with OEMs, hyperscalers, and channel partners to expand market reach is a key aspect of the role. Collaboration with Product, Pre-Sales, and Delivery teams is essential to ensure a solution-market fit. You will leverage market trends like edge computing, hybrid cloud, and AI infrastructure for revenue growth. Your track record in leading sales portfolios in Data Center/Cloud/Managed Services, along with a deep understanding of procurement cycles, RFPs, and deal structuring, will be highly valued. Certifications in data center standards (e.g., CDCP, CDCMP) or cloud architecture (AWS/Azure/GCP) are preferred. Strong analytical skills for forecasting, pipeline management, and pricing strategies are desired. Experience at firms like Yotta, Nxtra, Sify, Cloud4C, or global infrastructure providers will be advantageous in this role.,

We are seeking an experienced Lead Solutions Architect with deep expertise in AI/ML infrastructure , High Performance Computing (HPC) , and container platforms to join our dynamic team focused on delivering HPE Private Cloud AI and Enterprise AI Factory Solutions . This role is instrumental in architecting, deploying, and optimizing private cloud environments that leverage HPEs co-developed solutions with NVIDIA, as well as validated HPE reference architectures, to support enterprise-grade AI workloads at scale. The ideal candidate will bring strong technical expertise in AI infrastructure, container orchestration platforms, and hybrid cloud environments, and will play a key role in delivering scalable, secure, and high-performance AI platform solutions powered by HPE GreenLake and NVIDIA AI Enterprise technologies. Key Responsibilities: Leadership and Strategy: Provide delivery assurance and serve as the lead design authority to ensure seamless execution of Enterprise grade container platform including Red Hat OpenShift and SUSE Rancher, HPE Private Cloud AI and HPC/AI solutions, fully aligned with customer AI/ML strategies and business objectives. Align solution architecture with NVIDIA Enterprise AI Factory design principles, including modular scalability, GPU optimization, and hybrid cloud orchestration. Oversee planning, risk management, and stakeholder alignment throughout the project lifecycle to ensure successful outcomes. Solution Planning and Design: Architect and optimize end-to-end solutions across container orchestration and HPC workload management domains, leveraging platforms such as Red Hat OpenShift, SUSE Rancher, and/or workload schedulers like Slurm and Altair PBS Pro. Ensure seamless integration of container and AI platforms with the broader software ecosystem, including NVIDIA AI Enterprise, as well as open-source DevOps, AI/ML tools, and frameworks. Opportunity assessment: Lead technical responses to RFPs, RFIs, and customer inquiries, ensuring alignment with business and technical requirements. Conduct proof-of-concept (PoC) engagements to validate solution feasibility, performance, and integration within customer environments. Assess customer infrastructure and workloads to recommend optimal configurations using validated reference architectures from HPE and strategic partners such as Red Hat, NVIDIA, SUSE, along with components from the open-source ecosystem. Innovation and Research: Stay current with emerging technologies, industry trends, and best practices across HPC, Kubernetes, container platforms, hybrid cloud, and security to inform solution design and innovation. Customer-centric mindset: Act as a trusted advisor to enterprise customers, ensuring alignment of AI solutions with business goals. Translate complex technical concepts into value propositions for stakeholders 6. Team Collaboration: Collaborate with cross-functional teams, including subject matter experts in infrastructure components—such as HPE servers, storage, networking—and data science teams to ensure cohesive and integrated solution delivery. Mentor technical consultants and contribute to internal knowledge sharing through tech talks and innovation forums. Required Skills: 1. HPC & AI Infrastructure Extensive knowledge of HPC technologies and workload scheduler such as Slurm and/or Altair PBS Pro, Proficient in HPC cluster management tools, including HPE Cluster Management (HPCM) and/or NVIDIA Base Command Manager. Experience with HPC cluster managers like HPE Cluster Management (HPCM) and/or NVIDIA Base Command Manager. Good understanding with high-speed networking stacks (InfiniBand, Mellanox) and performance tuning of HPC components. Solid grasp of high-speed networking technologies, such as InfiniBand and Ethernet. 2. Containerization & Orchestration Extensive hands-on experience with containerization technologies such as Docker, Podman, and Singularity Proficiency with at least two container orchestration platforms: CNCF Kubernetes, Red Hat OpenShift, SUSE Rancher (RKE/K3S), Canonical Charmed Kubernetes. Strong understanding of GPU technologies, including the NVIDIA GPU Operator for Kubernetes-based environments and DCGM (Data Center GPU Manager) for GPU health and performance monitoring. 3.Operating Systems & Virtualization Extensive experience in Linux system administration, including package management, boot process troubleshooting, performance tuning, and network configuration. Proficient with multiple Linux distributions, with hands-on expertise in at least two of the following: RHEL, SLES, and Ubuntu. Experience with virtualization technologies, including KVM and OpenShift Virtualization, for deploying and managing virtualized workloads in hybrid cloud environments. 4. Cloud, DevOps & MLOps Solid understanding of hybrid cloud architectures and experience working with major cloud platforms in conjunction with on-premises infrastructure. Familiarity with DevOps practices, including CI/CD pipelines, infrastructure as code (IaC), and microservices-based application delivery. Experience integrating and operationalizing open-source AI/ML tools and frameworks, supporting the full model lifecycle from development to deployment. Good understanding of cloud-native security, observability, and compliance frameworks, ensuring secure and reliable AI/ML operations at scale. 5. Networking & Protocols Strong understanding of core networking principles, including DNS, TCP/IP, routing, and load balancing, essential for designing resilient and scalable infrastructure. Working knowledge of key network protocols, such as S3, NFS, and SMB/CIFS, for data access, transfer, and integration across hybrid environments. 6. Programming & Automation Proficiency in scripting or programming languages such as Python and Bash. Experience automating infrastructure and AI workflows. 7. Soft Skills & Leadership Excellent problem-solving, analytical thinking, and communication skills for engaging both technical and non-technical stakeholders. Proven ability to lead complex technical projects from requirements gathering through architecture, design, and delivery. Strong business acumen with the ability to align technical solutions with client challenges and objectives. Qualifications: Bachelor’s/master’s degree in computer science, Information Technology, or a related field. Professional certifications in AI Infrastructure, Containers and Kubernetes are highly desirable —such as RHCSA, RHCE, CNCF certifications (CKA, CKAD, CKS), NVIDIA-Certified Associate - AI Infrastructure and Operations Typically, 8–10 years of hands-on experience in architecting and implementing HPC, AI/ML, and container platform solutions within hybrid or private cloud environments, with a strong focus on scalability, performance, and enterprise integration. Notice Period 2 month or less Work Mode: Hybrid(3Days WFO, 2 days WFH

The Cloud and AI Infrastructure team at Cisco is a dynamic sales team that is always at the forefront of technology, helping customers leverage Cisco solutions in their data centers and on the cloud to drive business transformation. As a member of this team, you will collaborate with customers, partners, and team members to identify customer challenges and convert them into business opportunities. As an Account Executive - AI Infrastructure within our strategic sales team, your role will be pivotal in leading sales initiatives, exploring new prospects, and working closely with customers and partners to develop a strategic vision for their businesses. To excel in this position, you must possess a comprehensive understanding of Data Centre technology, particularly in AI-related Infrastructure, and have a proven track record in selling data center solutions in a competitive market environment. Your responsibilities will include devising and implementing a robust business development strategy to drive significant business growth. Building strong relationships with technology leaders and customers will be crucial, and you will play a key role in positioning Cisco as a leader in AI Infrastructure. Minimum Qualifications: - Possess 7+ years of experience in technology-related sales or account management with a focus on business development and emerging technologies. - Demonstrated success in growing revenue through innovative technology-based solutions. - Proficiency in addressing business challenges related to deploying data center infrastructure at scale, including AI Infrastructure. - Proven ability to collaborate across functions such as Sales, Presales, and Marketing to introduce and promote new data center infrastructure offerings. Preferred Qualifications: - Bachelor's degree in Business, Computer Science, Engineering, or a related field; advanced degree is a plus. - Excellent communication skills, both verbal and written. - Experience working within technology incubation teams to drive accelerated market share growth. - Sales expertise in deep learning, data science, and AI Infrastructure. - Sales background in Data Centre relevant technologies like storage, network, platform, server, security, and cloud. At Cisco, we are committed to providing reasonable accommodations for individuals with disabilities during the application process, interviews, job functions, and other employment-related activities. Reach out to us for any accommodation requests. Join us at Cisco, where we are shaping the future by integrating AI into our solutions to revolutionize collaboration, security, networking, and more. With a focus on ethical AI products and infrastructure, we empower customers to proactively address cybersecurity threats, predict network issues, and enhance team collaboration. Working alongside top AI experts, you can contribute to building impactful AI solutions that address real-world challenges and drive innovation in a diverse and inclusive environment. We, at Cisco, value the unique skills and perspectives that each individual brings to the table, working together towards our shared goal of fostering an inclusive future for all. Our commitment to learning and development ensures that every employee can explore multiple career paths within the organization. Through our innovative technology, tools, and culture, we support a hybrid work model that enables individuals to excel and grow professionally. By fostering diverse employee resource organizations known as Inclusive Communities, we aim to create a sense of belonging, nurture allyship, and make a positive impact within our communities. With dedicated volunteer time off, we actively engage in philanthropic endeavors that align with our passions, reflecting our dedication to giving back and creating a more inclusive future for all. As a global technology leader, we are dedicated to helping customers reinvent their operations, enhance security measures, modernize infrastructure, and achieve sustainability objectives. Our journey towards an inclusive future is driven by our people, and every effort we make brings us closer to that vision. Take the next step in your career with Cisco and embrace your true self as we work together towards a more inclusive future for all.,

The Cloud and AI Infrastructure team is a sales team at the cutting edge, assisting customers in leveraging Cisco technology in data centers and on the cloud. Collaborating with customers, partners, and team members, the team transforms customer challenges into business advantages. As a dynamic Account Executive - AI Infrastructure, you will play a crucial role in our strategic sales team. Your responsibilities will include leading sales opportunities, identifying new prospects, and collaborating closely with customers and partners to define a strategic vision for their business. You must possess a profound understanding of Data Centre technology, particularly AI-related Infrastructure, and have a proven track record in selling data center infrastructure within a competitive landscape. Your primary focus will be on developing and executing a business development strategy to drive robust business growth. Building strong relationships with technology leaders and customers, you will position Cisco as a leader in AI Infrastructure solutions. **Minimum Qualifications:** - 7+ years of sales or account management experience in technology, emphasizing business development and incubating new technologies. - Demonstrated success in increasing revenue through innovative technology-based solutions. - Proficiency in addressing business challenges related to deploying data center infrastructure at scale, including AI Infrastructure. - Track record of cross-functional collaboration with Sales, Presales, and Marketing to launch new data center infrastructure offerings. **Preferred Qualifications:** - Bachelor's degree in Business, Computer Science, Engineering, or related field; advanced degree is a plus. - Strong verbal and written communication skills. - Experience in technology incubation teams to accelerate market share growth. - Sales expertise in deep learning, data science, and AI Infrastructure. - Sales background in Data Centre relevant technologies such as storage, network, platform, server, security, and cloud. At Cisco, we are committed to providing reasonable accommodations for individuals with disabilities throughout the job application process, interviews, essential job functions, and other employment benefits. If you require accommodation, please reach out to us. Cisco is dedicated to integrating AI into solutions that revolutionize collaboration, security, networking, observability, and more. We are focused on developing ethical AI products that empower customers to proactively combat cyber threats, predict and prevent network disruptions, and enhance team productivity. Join us at Cisco to collaborate with leading AI experts and contribute to our mission of creating an inclusive future for all. Our culture at Cisco values connection and diversity, encouraging continuous learning and development at all levels. We empower our employees to excel and innovate in a hybrid work environment. Together, we aim to bring communities together, with our people at the core of our mission. Join us to be part of a global technology leader that drives innovation and fosters an inclusive future for all. As a Cisco employee in the U.S. and/or Canada, you will have access to comprehensive medical, dental, and vision insurance, a 401(k) plan with a matching contribution, disability coverage, life insurance, and various wellbeing programs. Incentive compensation is structured based on revenue attainment, providing a rewarding opportunity for exceeding performance goals.,