19 Ai Infrastructure Jobs

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.,

Marvell is a company that provides semiconductor solutions which are fundamental in building the data infrastructure connecting the world. These solutions cater to various industries such as enterprise, cloud, AI, automotive, and carrier architectures, paving the way for new possibilities and innovations. Working at Marvell offers you the opportunity to impact individual lives, influence industries, and contribute towards creating a transformative future. The company values purposeful and enduring innovation over passing trends, providing a conducive environment for personal growth, learning, and leadership. As part of Marvell's Ethernet switching technology team, you will be involved in developing and documenting software features for a software development kit. Your responsibilities will include delivering software releases, sample codes, and patches to customers, integrating software into their platforms, and troubleshooting complex software problems. Additionally, you will closely monitor customer technical issues, offer remote or on-site troubleshooting, and support customer lab/field trials. To excel in this role, you should have a Bachelor's degree in Computer Science, Electrical Engineering, or related fields with 5-10 years of professional experience. A Master's degree and/or PhD in the same fields with 3-5 years of experience are also considered. Excellent written and verbal communication skills are essential, along with the ability to present solutions clearly to customers. Prior experience in customer-facing roles such as an Application Engineer is preferred. The ideal candidate will have 5-10 years of experience in networking, particularly in AI infrastructure, and customer-facing roles providing technical support and solutions. Proficiency in switch driver development, debugging device drivers, and familiarity with networking protocols and VLSI design are also desired qualifications. Marvell offers competitive compensation and benefits, promoting a work environment characterized by collaboration, transparency, and inclusivity. The company is committed to providing its employees with the necessary tools and resources for success, fostering personal and professional growth. To learn more about opportunities at Marvell, visit our Careers page.,

The Cloud and AI Infrastructure team is a sales team at the cutting edge, helping customers change their business using Cisco technology in the data centre and on cloud. The team works with customers, partners, and team members to take customer problems and turn them into business advantage. As a dynamic Account Executive - AI Infrastructure, you will lead sales opportunities, discover new possibilities, and collaborate closely with customers and partners to define a strategic vision for their business. Understanding the specific needs of our customers and aligning our sales priorities with those needs is essential. This role demands a profound comprehension of Data Centre technology, including AI-related Infrastructure, and a proven track record in selling data centre infrastructure in a highly competitive environment. Your responsibilities will include developing and executing a business development strategy to drive robust business growth across the organization. Building strong relationships with technology leaders in the industry and your customers will be crucial, as you champion Cisco as a leader in AI Infrastructure. Minimum Qualifications: - 7+ years of technology-related sales or account management experience with a focus on business development and new technology incubation. - Experience in growing revenue for new innovative technology-based solutions. - Proficiency in understanding business challenges associated with deploying data centre infrastructure at scale, including AI Infrastructure. - Demonstrated success in working collaboratively with Sales, Presales, and Marketing teams to develop and launch new data centre infrastructure offerings. Preferred Qualifications: - Bachelor's degree or equivalent experience in Business, Computer Science, Engineering, or related fields; an advanced degree is a plus. - Strong verbal and written communication skills. - Experience collaborating within technology incubate teams to accelerate market share growth. - Sales Experience in deep learning, data science, and AI Infrastructure. - Sales experience with Data Centre relevant technology, such as storage, network, platform, server, security, and cloud. At Cisco, we are focused on integrating AI into our solutions to transform collaboration, security, networking, observability, and more. We are dedicated to innovating ethical AI products and infrastructure that empower our customers to anticipate cyberattacks, prevent network outages, and enhance team productivity. Join us at Cisco to work with leading AI experts and contribute to our mission of creating an inclusive future for all. We celebrate diversity and aim to unlock the potential of our employees by fostering a culture of learning and development at every stage. Our innovative technology, tools, and hybrid work trends enable Cisconians to excel and be their best selves. We are committed to bringing communities together, and our people are at the heart of this effort. Join us at Cisco to reinvent applications, secure enterprises, transform infrastructures, and work towards a more inclusive future for all.,

The Cloud and AI Infrastructure team at Cisco is a dynamic sales team at the forefront of technological innovation, dedicated to helping customers revolutionize their businesses by leveraging Cisco technology in the data center and on the cloud. By collaborating with customers, partners, and team members, the team excels in transforming customer challenges into strategic business advantages. As an Account Executive - AI Infrastructure, your role is pivotal in leading sales opportunities, identifying new prospects, and collaborating closely with customers and partners to define a strategic roadmap for their businesses. You will possess a profound understanding of Data Centre technology, particularly AI-related Infrastructure, and demonstrate a proven track record in selling data center infrastructure within a competitive market environment. Your responsibilities will include developing and executing a business development strategy aimed at driving substantial business growth. Building strong relationships with technology thought leaders and customers will be essential, positioning Cisco as a leader in AI Infrastructure solutions. To excel in this role, you must have at least 7 years of experience in technology-related sales or account management, with a focus on business development and the introduction of new technological solutions. Preferred qualifications for this position include a Bachelor's degree or equivalent experience in Business, Computer Science, Engineering, or related fields, with advanced degrees being a plus. Exceptional verbal and written communication skills are essential, along with a background in technology incubation teams to accelerate market share growth. Sales experience related to deep learning, data science, and AI Infrastructure will be beneficial, as well as familiarity with Data Centre technologies such as storage, network, platform, server, security, and cloud solutions. At Cisco, we prioritize inclusivity and ensure that individuals with disabilities receive reasonable accommodations during the application process and employment tenure. We are committed to integrating AI into our solutions to drive collaboration, security, networking, and observability advancements. By joining Cisco, you will collaborate with top AI experts and contribute to our mission of fostering an inclusive future for all. "We Are Cisco," where diverse skills and perspectives converge to fulfill our purpose of empowering an inclusive future. Cisconians experience a multitude of career opportunities within a supportive learning and development culture. With a focus on connecting people and unlocking potential, Cisco facilitates one company with many careers. Our commitment to fostering inclusivity is evident through employee resource organizations like Inclusive Communities, providing opportunities to connect, learn, and make a difference. Cisco encourages volunteering through dedicated paid time off, allowing employees to support causes they are passionate about. As a worldwide technology leader, Cisco is dedicated to assisting customers in reinventing their applications, securing their enterprises, transforming their infrastructure, and achieving sustainability goals. Every initiative undertaken by Cisco is a step towards a more inclusive future. Join us at Cisco and take your next step towards realizing your full potential in a rewarding and innovative environment.,

Exp: 14- 18 yrs Location: Bangalore Np: 30 Days

You are an experienced Lead Generative AI Engineer responsible for training, optimizing, scaling, and deploying various generative AI models including large language models, voice/speech foundation models, vision, and multi-modal foundation models using cutting-edge techniques and frameworks. Your role involves architecting and implementing state-of-the-art neural architecture, robust training, and inference infrastructure to efficiently take complex models with billions of parameters to production while optimizing for low latency, high throughput, and cost efficiency. Your key responsibilities include: - Architecting and refining foundation model infrastructure to support optimized AI models deployment focusing on C/C++, CUDA, and kernel-level programming enhancements. - Implementing optimization techniques like quantization, distillation, sparsity, streaming, and caching for model performance enhancements. - Spearheading the development of Vision pipelines to ensure scalable training and inference workflows of billions of parameter foundation models. - Innovating for state-of-the-art architectures involving Panoptic Segmentation, Image Classification, and Image Generation. - Designing, developing, and innovating state-of-the-art large multimodal models. - Executing training and inference processes to minimize latency and maximize throughput utilizing GPU clusters and custom hardware. - Integrating and tailoring frameworks like PyTorch, TensorFlow, DeepSpeed, Lightening, FSDP, and Habana for fast model training and inference. - Enhancing post-deployment mechanisms with exhaustive testing, real-time monitoring, and robustness checks. - Driving continuous improvement initiatives for deployed models with automated pipelines for drift detection and performance degradation. - Leading the charge in model management including version control, reproducibility, and lineage tracking. - Cultivating a culture of high-performance computing and optimization within the AI/ML domain. Qualifications: - Ph.D. with 5+ years or MS with 8+ years of experience in ML Engineering, Data Science, or related fields. - Demonstrated expertise in high-performance computing with proficiency in Python, C/C++, CUDA, and kernel-level programming for AI applications. - Extensive experience in optimizing training and inference for large-scale AI models. - Understanding of Diffusion Models, Variational Autoencoders, Bayesian Modelling, and Reinforcement Learning is beneficial. - Experience in building billions of parameters generative AI foundation models. - Proven success in deploying optimized ML systems on a large scale using cloud infrastructures and GPU resources. - In-depth understanding and hands-on experience with advanced model optimization frameworks and MLOps tools. - Familiarity with contemporary MLOps frameworks and their application in production environments. - Strong grasp of state-of-the-art ML infrastructures, deployment strategies, and optimization methodologies. - Innovative problem-solving skills and collaborative mindset. - Exceptional communication and team collaboration skills.,

The Opportunity As a Nutanix Ready Engineer you are responsible for working with Nutanix ISV technology partners to help them test and validate their products and solutions on the Nutanix platform. This position will require working closely with Nutanix Product Management, Engineering, Support and Sales. The ideal candidate will have the opportunity to work on various projects and pioneering industry technologies in Cloud Native, AI and Hybrid Cloud. It is a forward thinking and strategic role which will require interacting with cross functional teams within Nutanix and be the voice of our Technology Partner and ability to influence change. Your role: Engage with Technology Partners to understand and clearly articulate technical use cases for Nutanix Platform.. Engage with PM and Engineering, QA to build validation test kits for joint solutions. Assist the partner with testing and validating the solution in accordance with Nutanix best practices and guidelines. Setup test bed, design test methodology and execute tests to determine compatibility of ISVs solution with Nutanix. Contemplate and develop automation tests to make validations robust, accurate and reduce execution time. Document and communicate technical details around the joint solution with extended teams (Sales, Support and Consulting) within the organization. Become an expert on one or more Nutanix Products/technologies and mature as an SME for Nutanix partner ecosystem. What You Will Bring: Masters university degree in Computer Science, Computer Engineering or related field with an industry work experience of 8-10 years or above Strong industry experience in development and automation in Python and APIs. Experience of technologies DevOps, Containers & Kubernetes. Knowledge or experience of MLOps, AI Infrastructure is a plus AWS or Azure cloud industry certifications and experience Knowledge of Nutanix technologies/platform is a plus but not a must. Strong analytical, problem solving and debugging skills. Excellent verbal and written communication skills

Regional lead for AI Infrastructure Sales focused across industries and segments. Global role based in territory with international travel required. Be an integral part of the AI revolution. Oracle is experiencing unprecedented growth through delivering market-leading AI Infrastructure we are looking for exceptional individuals to join our team as we continue to scale the business. Qualifications 5+ years of Sales or relevant experience, preferably with 1-2 years in the AI Infrastructure space. Track record of selling complex solutions and an understanding of infrastructure deployments including lead times, margin analysis, and market demand. Technical depth is strongly preferred. Understanding of the Partner Ecosystem including but not limited to NVIDIA, AMD, Dell, Lenovo, Supermicro, Deloitte, Accenture, etc. Proven success selling to the in-region markets and creating a new business from the ground up. Strong experience in pipeline generation, deal management, closing, and working across departments. Knowledge of the local AI Community and government space and a desire to build a new AI ecosystem with OCI at the center. Employer Description As a world leader in cloud solutions, Oracle uses tomorrow's technology to tackle today's challenges. We've partnered with industry-leaders in almost every sector-and continue to thrive after 40+ years of change by operating with integrity. Primary job duty is to sell AI cloud infrastructure and related services in the region across multiple verticals, segments, and government entities. Identifies, qualifies, and closes new opportunities. Manages accounts through the entire sales process from business development prospecting and specifications through contract negotiations, signing, and post-sales support. Leverages the Oracle sales model to maximize revenue growth and increase local market share. Career Level - IC4

About this role: Wells Fargo is seeking a Principal Engineer to drive the design, development, and implementation of Artificial Intelligence (AI) enabled applications aligned to employee-facing lines of business in Enterprise Functions Technology (EFT). The EFT AI team will focus on building intelligent, efficient, and user-centric tools to accelerate the work of users in Finance, Human Resources, Risk, Audit, Legal, Public Affairs, Diverse Segments and EFT Platform Technology. In addition to hands-on development, this role will play a key part in evolving the AI operating model for both horizontal (cross product/platform) and vertical support (product specific). As a key technical contributor, you will collaborate with cross-functional teams to align solutions with the mission of transforming the Wells Fargo employee experience. This role will be a key contributor to shaping AI infrastructure, governance, and automation frameworks, working closely with cross-functional partners in technology, product management, and operations. The horizontal focus of this role will support AI platform scalability, reliability and AI governance, ensuring alignment across EFT, while the vertical focus will support specific applications and their integration within business domains. The successful candidate will have a deep expertise in AI engineering, cloud-based AI deployment, and AI model lifecycle management, along with experience in architecting AI solutions that align with responsible principles and enterprise business objectives. This is a unique opportunity to lead AI engineering efforts while shaping the AI operating model. In this role, you will: Design, develop and optimize Gen AI applications using agentic frameworks and tools Accelerate end to end solution delivery timelines by developing automated data, prompting and evaluation pipelines Streamline the enablement of AI solutions by building solution blueprints, re-usable patterns and identifying process improvements Lead AI engineering efforts that drive the design, development, scalability, and evolution of AI-powered products, ensuring AI adoption. Research and guide engineering efforts to solve complex engineering challenges and balance accuracy, latency and cost Evolve the AI operating model, ensuring seamless integration of AI solutions into business domains while providing horizontal AI governance and infrastructure support. Develop automated AI model monitoring frameworks, enabling continuous model updates, explainability, and performance tracking. Develop and scale AI platforms leveraging Large Language Model (LLM) services, real time analytics, AI automation, and intelligent decision-making. Act as an advisor and collaborate with leadership to integrate AI into existing enterprise systems and cloud platforms to implement innovative and significant business solutions. Drive cross-functional collaboration to define AI roadmaps, infrastructure strategies, and product enhancements, ensuring AI capabilities align with business AI strategies. Lead the strategy and resolution of highly complex and unique challenges requiring in-depth evaluation across multiple areas or the enterprise, delivering solutions that require vision, creativity, innovation, and advanced analytical and thinking. Maintain knowledge of industry best practices and new technologies and recommend innovations that enhance operations or provide a competitive advantage to the organization. Strategically engage with all levels of professionals and managers across the enterprise and serve as an expert advisor to leadership. Responsible for meticulous governance to address the unique risks posed by GenAI. Required Qualifications: 7+ years of Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education 7+ years of engineering experience building and supporting large scale customer facing products using modern technologies 3+ years building and delivering products using AI technologies. Desired Qualifications: Strong expertise in AI model development and deployment with a strong background in LLMs, generative AI, and AI-engineering. Deep experience with generative AI models, including model prompting, tuning, and safety best practices. Expertise in solution architecture and applying modular design techniques to agentic workflows Solid grasp of data and error analysis, identifying issues and patterns throughout the AI pipeline Strong expertise in test or eval driven development, ensuring robust and scalable AI software. Experience in backend application software development, with ability to quickly adapt to C#, and Python code bases. Strong understanding of Retrieval-Augmented Generation (RAG), knowledge graphs and agentic workflows. Deep knowledge of AI infrastructure, Generative AI Operations, and enterprise-scale AI adoption strategies. Familiarity with enterprise-scale software systems and their integration within large organizations. Passion for building AI solutions that deliver a seamless, end-user-focused experience. Experience in enterprise AI model lifecycle management, AI compliance, and risk mitigation strategies. Strong understanding of human centered AI design for workplace applications. Excellent collaboration, communication, and problem-solving skills. Job Expectations: Lead projects, teams, and serve as a peer mentor. Be Humble: You're smart yet always interested in learning from others Work Transparently: You always deal in an honest, direct, and transparent way. Take Ownership: You embrace responsibility and find joy in having the answers Learn More: You regularly self-educate and improve your skill set. Show Gratitude: You show appreciation and respect to those you work with.

Technical Staff, Software Engineering From applied research to advanced engineering, the CTO Storage team has the expertise to shape ground-breaking Storage products, technologies, and innovations. Its a fascinating field of work. Were involved in assessing the competition, developing Storage technology and product strategies and generating IP. We lead technology investigations, analyze industry capabilities and recommend potential acquisitions or vendor partner opportunities. Our insights influence product architecture and definitions. And we work with colleagues across the business to ensure our products always lead the way. Join us to do the best work of your career and make a profound social impact as a Technical Staff Software Engineer on our CTO Storage Team in Bangalore, India. What youll achieve As a Technical Staff Software Engineering you will be responsible for Storage architecture for data path technologies across our portfolio. You will work with product teams and product management to craft and deliver the best strategy for Dell. You will: Present innovative technical storage ideas at the executive level and develop innovative ideas for Dells storage solutions by keeping abreast of the latest advancements in AI infrastructure, workload orchestration, MLOps platforms, and GenAI applications Architect detailed product designs, specifying functionality, performance, integrations, and hardware requirements Lead prototyping and testing to validate design and functionality, focusing on performance and scalability Refine designs based on feedback, testing, and evolving requirements Work with cross-functional teams, partners, and customers to create POCs and MVPs. Ensure seamless integration of components and technologies Essential Requirements 15+ years of related experience with a bachelors degree; or 12+ years with a masters degree; or 8+ years with a PhD; or equivalent experience Proficiency in AI-driven operations, telemetry systems, and data integration, transformation, and storage connectivity and protocols. Strong experience in designing, developing, and maintaining resilient software infrastructure, and SaaS platforms and Strong experience in development of software systems using C/JAVA/Python Expertise in data migration, replication, synchronization, and familiarity with backup software solutions In-depth knowledge of storage management systems and APIs , including configuration, monitoring, and optimization. Desirable Requirements Possess advanced certifications or have published work in Storage Software Solutions, AI, deep learning, or related fields, with a track record of leading high-impact projects or initiatives in innovative tech domains. Actively contribute to open-source projects or participate in tech communities. Demonstrate a proven ability to mentor and uplift junior team members or peers, with a history of using unconventional thinking to achieve breakthrough solutions. Application closing date: 30 June 2025

About the Role: We are seeking a dynamic and strategic VP of Engineering to lead and manage Karyas engineering team. This executive will play a pivotal role in scaling our technology infrastructure by managing both the people and processes within the technology team. Key Responsibilities: Serve as a hands-on technical leader overseeing the technical team and all engineering operations including architecture, design, software development processes and pipelines, and making individual contributions when necessary. Develop and implement strategies to drive innovation, scale technology, and ensure product quality and performance. Monitor, analyse, and continuously improve engineering KPIs, including delivery predictability, sprint velocity, incident resolution time, and defect rates, to ensure high performance and alignment with organizational goals. Collaborate closely with product, design, and other cross-functional teams to define product roadmaps and ensure timely delivery of features. Own the architecture and technical decision-making for major projects, ensuring scalability, reliability, and security of the technology stack. Foster a culture of technical excellence, continuous improvement, and agility within the engineering teams. Act as a key partner in strategic planning and growth initiatives, offering technical expertise and insights to shape the companys direction. Ensure the engineering team is adaptive and stays on course with industry trends, adopting new technologies and tools when appropriate. Assist the CTO in mentoring team leaders and individual contributors, providing guidance on career development and technical growth. Ideal Candidate Proven experience as an engineering leader in a fast-paced, high-growth environment. Strong technical background with experience in software engineering, systems architecture, and technology operations. Experience with cloud platforms, distributed systems, and scaling technology solutions. Experience managing, mentoring, and developing high-performing engineering teams. Deep understanding of the software development lifecycle, from ideation through to deployment and support. Expertise in modern software engineering practices. Strong leadership, communication, and interpersonal skills, with the ability to work effectively with senior management and technical teams. Competitive Salary: We offer a competitive compensation package commensurate with experience, designed to attract top talent in the industry. Benefits & Growth: Enjoy flexible work options, comprehensive benefits, and ample opportunities for career growth. Be part of a mission-driven team with the chance to make a significant social impact while advancing your career.

About the Role: We are seeking a highly experienced and visionary AI Senior Technical Lead to drive the technical direction and execution of our AI initiatives. This role is pivotal in shaping our AI strategy, leading a team of talented AI engineers, and ensuring the delivery of innovative and impactful AI solutions. As a technical leader, you will be responsible for defining architectural vision, driving best practices, and fostering a culture of technical excellence across diverse AI domains. Responsibilities: Technical Leadership & Strategy: Define and communicate the technical vision and strategy for AI projects. Lead the architectural design and implementation of complex AI systems. Evaluate and recommend emerging AI technologies and methodologies. Drive the adoption of best practices for AI development, deployment, and maintenance. Contribute to the strategic planning of AI initiatives, aligning them with business goals. Team Leadership & Mentorship: Lead and mentor a team of AI engineers, providing technical guidance and support. Foster a collaborative and innovative team environment. Conduct code reviews and ensure code quality. Identify and address skill gaps within the team. Facilitate knowledge sharing and continuous learning. AI System Development & Implementation: Oversee the development and deployment of scalable and robust AI solutions. Ensure the performance, reliability, and security of AI systems. Drive the development of AI pipelines and infrastructure. Lead the integration of AI models with existing systems and applications. Troubleshoot and resolve complex technical issues. Research & Innovation: Stay abreast of the latest advancements in AI and machine learning. Identify opportunities to apply AI to solve complex business challenges, including opportunities within Generative AI. Drive research and development efforts to explore new AI technologies. Evaluate and prototype new AI solutions. Collaboration & Communication: Collaborate with cross-functional teams, including product managers, data scientists, and software engineers. Communicate complex technical concepts to both technical and non-technical audiences. Provide technical presentations and demonstrations. Document technical designs, code, and processes. Required Skills and Qualifications: Education: Batchelors or Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field. Experience: 8+ years of experience in AI/ML development, with a proven track record of leading complex AI projects. Extensive experience in designing and implementing scalable AI systems. Proven experience in leading and mentoring technical teams. Deep understanding of machine learning and deep learning algorithms and architectures. Strong experience with cloud platforms (e.g., AWS, Azure, GCP) and their AI/ML services. Technical Skills: Expertise in Python and relevant AI/ML libraries (e.g., TensorFlow, PyTorch, scikit-learn). Strong understanding of AI infrastructure and deployment strategies. Experience with MLOps best practices. Experience with vector databases, and LLM implementations. Proficiency in software development principles and best practices. Experience with containerization and orchestration tools (e.g., Docker, Kubernetes). Soft Skills: Exceptional leadership and communication skills. Strong problem-solving and analytical skills. Ability to think strategically and drive innovation. Excellent interpersonal and collaboration skills. Strong presentation skills. Preferred Qualifications: Experience with Generative AI technologies and methodologies (e.g., GANs, Diffusion Models, Transformers for generation). Experience with natural language processing (NLP) or computer vision. Contributions to open-source AI projects. Experience with distributed systems and big data technologies. Experience with prompt engineering.