294 Agentic Ai Jobs - Page 4

The Specialized Analytics Manager provides full leadership and supervisory responsibility. You will provide operational/service leadership and direction to team(s). You will apply in-depth disciplinary knowledge through provision of value-added perspectives or advisory services. You may contribute to the development of new techniques, models, and plans within the area of expertise. Excellent communication and diplomacy skills are required for this role. You will generally have responsibility for volume, quality, timeliness of end results, and shared responsibility for planning and budgets. Your work will affect an entire area, which eventually affects the overall performance and effectiveness of the sub-function/job family. You will have full supervisory responsibility, ensuring motivation and development of the team through professional leadership. This will include duties such as performance evaluation, compensation, hiring, disciplinary and terminations, as well as direction of daily tasks and responsibilities. The Data Science Analyst is a developing professional role within the GWFO team. In this role, you will apply specialized knowledge in machine learning, statistical modeling, and data analysis to monitor, assess, analyze, and evaluate processes and data. You will identify opportunities to leverage advanced analytics to improve business outcomes, automate processes, and generate actionable insights. Additionally, you will contribute to the development and deployment of innovative AI solutions, including generative AI and agentic AI applications. You will work with cross-functional stakeholders to gather and process operational data from various sources to examine past business performance and identify areas for improvement. As a successful candidate, you should ideally have 7+ years of relevant experience in data science, machine learning, or a related field. You should possess advanced process management skills, be organized and detail-oriented, curious about learning and developing new skill sets, particularly in the area of artificial intelligence, have a positive outlook with a can-do mindset, and strong programming skills in Python and proficiency in relevant data science libraries such as scikit-learn, TensorFlow, PyTorch, and Transformers. Experience with statistical modeling techniques, building GenAI solutions, agentic AI frameworks, and data visualization tools such as Tableau or Power BI is required. Strong logical reasoning capabilities, willingness to learn new skills, and good communication and presentation skills are also essential. You should have a Bachelors/University degree or equivalent experience. This job description provides a high-level review of the types of work performed, and other job-related duties may be assigned as required. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity, review Accessibility at Citi. View Citis EEO Policy Statement and the Know Your Rights poster.,

As a seasoned professional with 8-10 years of experience, you will be entrusted with leading the development of cutting-edge Gen AI solutions at our office located in Irinjalakuda, Thrissur. Your role will involve designing, implementing, and deploying AI models and systems to address business problems effectively. Collaboration with cross-functional teams is key, as you will work together to identify challenges and develop AI-powered solutions that foster growth and enhance operational efficiency. Your expertise will be instrumental in designing and implementing scalable AI solutions, utilizing cutting-edge technologies such as LangChain, Agentic AI, RAG, and Event-driven architecture using Kafka. In addition to development responsibilities, you will be tasked with maintaining large-scale AI systems to ensure optimal performance, reliability, and security. Leading and mentoring a team of AI developers will be part of your role, guiding them to deliver high-quality outcomes in line with industry standards. Staying abreast of the latest advancements in Gen AI and related technologies is imperative. By leveraging your knowledge, you will drive innovation and continuous improvement within the organization. Technical documentation, including architecture diagrams and design documents, will be within your purview, along with participating in code reviews to uphold coding standards and best practices. Engaging with clients and internal stakeholders, you will play diverse roles like a strategist, value realization expert, project manager, track lead, and program manager. Your involvement will span business transformation initiatives through the enablement of digital or data platforms, covering areas such as Conversational AI, target operating model design, and strategy & roadmap development. Your educational background in Computer Science, Engineering, or a related field will serve as a strong foundation for this role. Additionally, investing in learning new skills, mentoring team members, and providing career guidance will be part of your professional growth journey. This full-time position offers benefits such as leave encashment, work from home options, day and morning shifts, as well as performance and yearly bonuses. If you are ready to immerse yourself in the dynamic world of AI development and drive impactful solutions, we look forward to welcoming you to our team. Contact Details: Mobile Number: +91 8089111607, +91 9846875775 Email: theaitsolutionsllp.com (Note: This job description is based on the information provided and does not include specific company details or job title.),

At GoDaddy, the future of work varies for each team. Some work in the office full-time, some have a hybrid arrangement, while others work entirely remotely. As a Director of AI/ML, you will architect and drive GoDaddy's three-year strategic roadmap for AI and Machine Learning solutions, focusing on new customer acquisition through groundbreaking Agentic AI and sophisticated ML techniques. In this hybrid position, you will split your time between remote work from home and office work, living within commuting distance. Hybrid teams may work in-office a few times a week or as little as once a month, as determined by leadership. You will be responsible for developing a strategic vision and roadmap for AI/ML applications, showcasing visionary leadership in Agentic AI, ensuring end-to-end system integration, architecting scalable global solutions, fostering multi-functional collaboration, staying updated on AI/ML advancements, and mentoring high-performing teams. Your experience should include 8+ years of leadership in AI/ML roles, expertise in Agentic AI and autonomous systems, experience in designing and scaling global AI/ML systems, proficiency in industry-standard ML tools and frameworks, exceptional leadership and communication skills, and the ability to think strategically in a fast-paced environment. An advanced degree in Computer Science, Machine Learning, or Artificial Intelligence would be advantageous. Join us in our mission to deploy AI/ML at enterprise scale, create exceptional value for customers, and maintain GoDaddy's competitive edge in the industry.,

Looking for AI Engineers and advanced AI professionals with 8- 15 years of experience in India are at the forefront of transforming sectors such as IT, finance, e-commerce, healthcare, and manufacturing. They must be responsible for developing advanced models, managing large AI projects, ensuring ethical AI deployment, and leading strategic AI initiatives. They must have expertise in one of more of the following areas; AI Solution Architecture & System Design Design, develop, and implement sophisticated AI models using machine learning (ML), deep learning (DL), and artificial neural networks. Architect end-to-end AI systems, from data ingestion to deployment in production environments. Advanced Data Analytics & Interpretation Analyze and interpret vast, complex datasets to drive actionable insights. Conduct feature engineering, data cleaning, and transformation for optimized model training. Model Training, Tuning & Optimization Refine and optimize AI models for maximum accuracy and efficiency. Lead continuous model validation with real-world data. Deployment & MLOps Oversee production deployment of AI models using cloud platforms (AWS, Azure, GCP). Implement and maintain MLOps pipelines for continuous integration and delivery. Cross-functional Leadership & Collaboration Lead multidisciplinary teams comprising data scientists, ML engineers, and domain experts. Translate business objectives into technical AI strategies. Responsible & Ethical AI Build and audit AI systems for fairness, transparency, and compliance with ethical standards. Develop frameworks for responsible AI deployment and AI governance. Required Technical Skills Programming: Proficiency in Python, R, C++, Java, or similar languages. Frameworks: Strong command of TensorFlow, PyTorch, Keras, scikit-learn. Cloud Technologies: Expertise in AWS, Azure, GCP, with production deployment experience. Data Engineering: SQL, NoSQL, Hadoop, Spark, and data visualization tools (Tableau, Power BI). Specializations: NLP, computer vision, generative AI, agentic AI (autonomous AI agents). MLOps: Workflow automation, model versioning, and performance monitoring. Leadership, Strategy & Soft Skills Team management, mentoring junior talent, and capacity-building. Ability to advise C-suite and influence AI strategy. Strong problem-solving, communication, and stakeholder management.

At CAW Tech, we are passionate about bringing innovative ideas to life and developing the first versions of SaaS products with the potential to revolutionize industries, similar to what Uber, Airbnb, and Flipkart have achieved. Our dedicated engineering team is at the forefront of creating cutting-edge products for a diverse portfolio of startups, utilizing a wide range of technologies and frameworks. This environment is ideal for inquisitive and ambitious tech enthusiasts like you. Specializing in AI automation, digital transformation, and custom AI-driven product engineering, we excel in areas such as Conversational AI, Agentic AI, and chatbot solutions. Our work plays a crucial role in helping businesses enhance operational efficiency and elevate customer engagement through the latest technological advancements. Location: Hyderabad (Hybrid) with occasional travel required to regions including the US, UK, EU, Middle East, and APAC. About the Role: We are currently looking for a dynamic and results-oriented International Sales Manager to spearhead our global business development initiatives in IT services and consulting. In this role, you will be responsible for promoting digital transformation solutions, bespoke software development, staff augmentation, and managed services to clients across key global markets. Your primary responsibilities will include developing and implementing strategic sales plans for international territories, managing the entire sales cycle from lead generation to deal closure, showcasing various IT services offerings, collaborating with internal teams to tailor solutions, fostering strong relationships with key stakeholders, representing the company at industry events, and consistently meeting or exceeding sales targets. Key Requirements: - Bachelor's degree in Business, IT, or a related field (MBA preferred). - 6-12 years of experience in B2B/enterprise sales within the IT services or technology consulting sector. - Proven success in selling to international clients, particularly in the US, UK, or MEA regions. - Profound knowledge of outsourcing models, IT consulting dynamics, and different pricing structures. - Extensive network within target industries such as Fintech, BFSI, Healthcare, Retail, or SaaS. - Exceptional communication, negotiation, and presentation skills. - Ability to work autonomously, manage multiple accounts effectively, and travel internationally when necessary. Preferred Skills: - Familiarity with RFP/RFQ processes and proposal development. - Experience with offshore/onshore delivery models. - Proficiency in cloud platforms such as AWS, Azure, GCP, and modern technology stacks. - Exposure to catering to startup, scaleup, and enterprise clients. Compensation: Competitive base salary, commission structure, and performance-based incentives. Why Join Us - Join a rapidly expanding global tech company. - Lead impactful deals with Fortune 500 companies and emerging tech firms. - Experience a culture of autonomy, flexibility, and continuous growth opportunities.,

As a Specialist Design Engineer focused on ServiceNow, you will play a crucial role in contributing to BT Group's digital transformation by rapidly bringing innovative ideas to market. Your primary responsibility will be to drive service innovation and deliver products and services that meet the needs of customers in a fast-paced and scalable manner. You will be responsible for owning and delivering strategic investment choices that support Service management's transformation. This includes assessing requirements within BT Business, identifying optimal design patterns for scalable system components, and making informed decisions based on thorough analysis of different scenarios. Your focus on risk management, business case development, and benefit realization will be essential in unblocking obstacles and ensuring timely project delivery. Collaboration and relationship-building will be key aspects of your role, as you will need to develop strong connections with internal and external customers and suppliers to facilitate program deliverables. Additionally, you will lead the platform design team, overseeing the work of other designers and ensuring governance across various deliveries within BT Business. To excel in this role, you should possess expertise in technologies such as ServiceNow CMDB data model, GEN AI, Agentic AI, ITOM, Service Bridge, CSM, ITSM, Risk Management, and TMF compliant ServiceNow integration framework. Your ability to develop solutions aligned with enterprise architecture, solve complex problems, and drive continuous improvement through agile practices will be critical. Furthermore, your communication skills, project management abilities, and commercial acumen will be essential in executing priorities that add value to customers and the business. By embodying BT Group's leadership standards, you will contribute to the company's growth mindset and future readiness, building diverse teams that drive innovation and excellence. BT Group, as a pioneer in the telecom sector, is undergoing a significant transformation to enhance connectivity and revolutionize customer experiences. By joining the organization, you will be part of a dynamic team that is shaping the future of telecommunications in the UK. If you are passionate about driving change, embracing diversity, and contributing to a forward-thinking company, this role presents an exciting opportunity to make a meaningful impact. Please note that BT Group is committed to creating an inclusive workplace where individuals from diverse backgrounds and experiences are encouraged to apply. If you believe you have the skills and drive to excel in this role, we welcome your application, even if you do not meet every single requirement outlined in the job description.,

You are an experienced OCI AI Architect who will be responsible for leading the design and deployment of Gen AI, Agentic AI, and traditional AI/ML solutions on Oracle Cloud. Your role will involve a deep understanding of Oracle Cloud Architecture, Gen AI, Agentic and AI/ML frameworks, data engineering, and OCI-native services. The ideal candidate will possess a combination of deep technical expertise in AI/ML and Gen AI over OCI along with domain knowledge in Finance and Accounting. Your key responsibilities will include designing, architecting, and deploying AI/ML and Gen AI solutions on OCI using native AI services, building agentic AI solutions using frameworks such as LangGraph, CrewAI, and AutoGen, leading the development of machine learning AI/ML pipelines, and providing technical guidance on MLOps, model versioning, deployment automation, and AI governance. You will collaborate with functional SMEs, application teams, and business stakeholders to identify AI opportunities, advocate for OCI-native capabilities, and support customer presentations and solution demos. To excel in this role, you should have 10-15 years of experience in Oracle Cloud and AI, with at least 5 years of proven experience in designing, architecting, and deploying AI/ML & Gen AI solutions over OCI AI stack. Strong Python development experience, knowledge of LLMs such as Cohere and GPT, proficiency in AI/ML/Gen AI frameworks like TensorFlow, PyTorch, Hugging Face, and hands-on experience with OCI services are required. Additionally, skills in AI governance, Agentic AI frameworks, AI architecture principles, and leadership abilities are crucial for success. Qualifications for this position include Oracle Cloud certifications such as OCI Architect Professional, OCI Generative AI Professional, OCI Data Science Professional, as well as a degree in Computer Science or MCA. Any degree or diploma in AI would be preferred. Experience with front-end programming languages, Finance domain solutions, Oracle Cloud deployment, and knowledge of Analytics and Data Science would be advantageous. If you are a highly skilled and experienced OCI AI Architect with a passion for designing cutting-edge AI solutions on Oracle Cloud, we invite you to apply and join our team for this exciting opportunity.,

The Data Science Analyst is a developing professional role within GWFO team. This role applies specialized knowledge in machine learning, statistical modeling, and data analysis to monitor, assess, analyze, and evaluate processes and data. You will identify opportunities to leverage advanced analytics to improve business outcomes, automate processes, and generate actionable insights. Additionally, you will contribute to the development and deployment of innovative AI solutions, including generative AI and agentic AI applications. Working with cross-functional stakeholders, you will gather and process operational data to examine past business performance and identify areas for improvement. Utilizing machine learning techniques, you will identify data patterns and trends, providing insights to enhance business decision-making capabilities in various areas such as business planning, process improvement, and solution assessment. Your responsibilities will include developing and implementing machine learning models for predictive analytics, forecasting, and optimization. You will design, build, and deploy Generative AI solutions to enhance customer experience, automate tasks, and personalize interactions. Furthermore, you will experiment with agentic AI frameworks to create autonomous systems that can learn, adapt, and solve complex problems. Developing tools and techniques to evaluate the performance and impact of AI solutions will be part of your role. You will translate data into consumer or customer behavioral insights to drive targeting and segmentation strategies, communicating findings clearly and effectively to business partners and senior leaders. Continuous improvement is key, and you will explore and evaluate new data sources, tools, and capabilities with a focus on cutting-edge AI technologies. Collaboration with internal and external business partners in building, implementing, tracking, and improving decision strategies will be essential. As a successful candidate, you should ideally have 7+ years of relevant experience in data science, machine learning, or a related field. You should possess advanced process management skills, be organized and detail-oriented, and have a curious mindset for learning and developing new skill sets, particularly in artificial intelligence. Strong programming skills in Python and proficiency in relevant data science libraries such as scikit-learn, TensorFlow, PyTorch, and Transformers are required. Experience with statistical modeling techniques, GenAI solutions, agentic AI frameworks, and data visualization tools like Tableau or Power BI is beneficial. Other essential skills include strong logical reasoning capabilities, willingness to learn new skills, and good communication and presentation skills. A Bachelors/University degree or equivalent experience is necessary for this role.,

As a Senior ML/AI Engineer at our Technology Innovation Lab, you will be a key member of a cross-disciplinary team dedicated to advancing AI and intelligent automation at HERE. Your primary responsibility will be to develop cutting-edge machine learning systems that leverage Agentic AI, Generative AI, and foundational ML techniques to drive the next generation of applications. Collaborating closely with technical leads, researchers, and engineers, you will prototype solutions to address real-world spatial, operational, and knowledge-driven challenges. Your role will involve architecting and implementing AI-first systems using technologies such as Large Language Models (LLMs), Autonomous Multi-Agent Architectures, and Classical ML models like regression, clustering, XGBoost, SVM, and tree-based learners. Leading the development of Agentic AI solutions will be a core aspect of your role, encompassing tasks such as orchestration, memory/context management, tool invocation, and human-agent collaboration. You will also be responsible for designing and delivering end-to-end Generative AI applications for various purposes including text generation, summarization, code synthesis, image generation, and multi-modal interfaces. Your expertise in deep learning techniques, including CNNs, RNNs (LSTM, GRU), GANs, Diffusion Models, Transformers, and Graph Neural Networks, will be crucial for tackling real-world tasks in vision, language, and planning. You will collaborate across teams to translate domain-specific problems into scalable, explainable, and production-ready AI solutions while incorporating responsible AI principles. Staying at the forefront of AI research will be essential, as you evaluate and implement emerging LLM models, agentic frameworks, and open-source innovations to ensure technical currency in this rapidly evolving field. You will also design and lead experiments across advanced AI/ML areas, encompassing computer vision, NLP, LLMs, and emerging domains like quantum computing, distributed computing, 3D modeling, AR/VR, and LiDAR/drone data processing. Writing efficient, production-quality code using Python and leveraging frameworks like PyTorch, TensorFlow, and Spark for large-scale ML training and inference will be part of your daily tasks. Defining and tracking KPIs at both individual and business unit levels, in collaboration with your manager, will ensure that your work drives impactful innovation. Supporting and mentoring engineers and data scientists in best practices related to prompt design, agent workflows, evaluation frameworks, and research translation will also be part of your responsibilities. Additionally, contributing to HERE's innovation footprint through patents, internal IP development, and peer-reviewed publications will be encouraged. To qualify for this role, you should hold a Master's degree or Ph.D. in Computer Science, AI/ML, Mathematics, or a related field. Candidates with a Master's degree should have 5-7 years of experience, while Ph.D. holders may have 3-5 years of relevant experience. A strong understanding of ML fundamentals, hands-on experience with deep learning architectures, proficiency in Python, and familiarity with ML frameworks are essential qualifications. Curiosity and exposure to adjacent technologies like TinyML, Quantum Computing, or 3D modeling/AR will be considered advantageous. At HERE Technologies, we are a location data and technology platform company dedicated to empowering our customers and making a positive impact on people's lives. If you are passionate about driving innovation and creating positive change in an open world, we invite you to join us on this exciting journey.,

As an AI Application Engineer at SAP, you will play a pivotal role in designing and constructing AI applications by harnessing the power of machine learning and deep learning techniques. Your primary responsibility will involve collaborating with diverse teams to comprehend business objectives and translating them into precise technical requirements. You will be instrumental in developing data analysis prompts and conducting model training to ensure exceptional accuracy and performance levels. Additionally, your role will encompass the optimization of existing AI models and applications to enhance efficiency. Troubleshooting technical issues during development or deployment phases will also be part of your routine tasks. It is paramount that you stay abreast of the latest trends in AI to contribute innovative ideas to ongoing projects. Your tenure at SAP, a global leader in enterprise software, will expose you to a dynamic and innovative team environment. The organization is currently embarking on an AI-first journey, integrating artificial intelligence into every facet of product development. You will work on cutting-edge AI projects, including enhancing chatbots to efficiently handle customer inquiries across various industries. Moreover, you will have the opportunity to contribute to groundbreaking initiatives, particularly in the realm of AI agents. SAP fosters a collaborative culture that thrives on knowledge sharing, offering ample prospects for your professional growth in enterprise AI development. Join our vibrant team and play a pivotal role in shaping the future landscape of AI applications. **Duties and Responsibilities:** - Lead the complete lifecycle development of AI applications, from inception to deployment, leveraging hands-on expertise to ensure seamless functionality and optimal performance. - Collaborate with cross-functional teams to grasp business requirements and translate them into effective technical solutions. - Apply profound knowledge of prominent large language models like GPT and Llama, along with other relevant AI technologies, to drive innovation in AI application development. - Conduct thorough testing and meticulous optimization of AI applications, encompassing performance testing, accuracy validation, and resolution of identified issues to enhance overall quality and efficiency. - Oversee the data pipeline for AI model training, including data collection, cleaning, preprocessing, and ensuring data integrity to support accurate model training. - Integrate AI features into existing systems and architectures. - Stay abreast of industry trends, emerging technologies, and best practices in the field of AI. - Provide continuous support and maintenance for deployed AI applications, monitoring performance, addressing user feedback, and implementing necessary updates to ensure optimal functionality. **What you bring:** - Bachelor's degree or higher in a relevant field. - 4-6 years of hands-on experience in AI-related domains. - Demonstrated experience in AI product development. - Proficiency in writing prompts. - Experience in Agentic AI, Knowledge Graph, and other related areas. - Proficient in large language model principles. - Strong programming skills. - Excellent problem-solving abilities. - Familiarity with data processing and analysis. - Knowledge of cloud computing platforms such as AWS and Azure. - Eagerness to learn new AI technologies and a strong aptitude for learning. - Strong teamwork and communication skills. - Excellent English communication skills. Join the team at SAP and be part of a transformative journey towards leveraging AI to drive business success and innovation. As we continue to pioneer the development of AI applications, your contributions will play a pivotal role in shaping the future landscape of enterprise AI. Embrace this opportunity to grow professionally in a collaborative and forward-thinking environment, where your skills and expertise will be valued and nurtured.,

Technical Expertise: Must Have: Experience in Emma orchestration engine is a must . Proficient in Python programming with experience in agentic platforms from procode (e.g., Autogen, Semantic Kernel, LangGraph) to low code (e.g., Crew.ai, EMA.ai). Hands-on experience with Azure open AI and related tools and services. Fluent in GenAI packages like Llamaindex and Langchain. Soft Skills: Excellent communication and collaboration skills, with the ability to work effectively with stakeholders across business and technical teams. Strong problem-solving and analytical skills. Attention to detail. Ability to work with teams in a dynamic, fast-paced environment.

Job Summary We are seeking a detail-oriented and technically proficient GenAI Tester to validate and ensure the quality of Generative AI solutions. This role involves testing AI models, APIs, and integrated systems with a focus on Python-based automation, FastAPI endpoints, and advanced GenAI components such as Agentic AI and Vector Databases. Key Responsibilities - Design and execute test plans for GenAI applications and services. - Develop automated test scripts using Python for FastAPI endpoints and AI workflows. - Validate the functionality and performance of Agentic AI systems and Vector DB integrations. - Collaborate with developers and data scientists to understand model behavior and expected outcomes. - Perform regression, integration, and performance testing on GenAI components. - Document test cases, results, and defects with clarity and precision. - Ensure secure and ethical testing practices in alignment with organizational standards. Required Qualifications - Bachelors degree in Computer Science, Engineering, or related field. - 3+ years of experience in software testing, preferably in AI/ML environments. - Proficiency in Python and FastAPI for test automation. - Understanding of Generative AI concepts including Agentic AI and Vector Databases. - Experience with API testing tools and frameworks. - Strong analytical and problem-solving skills. Preferred Qualifications - Experience with MLOps and AI model lifecycle testing. - Knowledge of secure architecture and authentication/authorization mechanisms. - Familiarity with cloud-based testing environments (AWS, Azure, GCP). - Certifications in software testing or AI quality assurance. Why Join Us? Join a forward-thinking team dedicated to building and validating cutting-edge Generative AI solutions. Youll have the opportunity to work with innovative technologies, collaborate with top-tier professionals, and contribute to the development of secure and high-performing AI systems.

We are seeking a talented AI Engineer to join our cutting-edge team. In this role, you'll tackle complex challenges in large language models (LLMs), optical character recognition (OCR), and model scaling. You'll be at the forefront of developing and optimizing AI systems that push the boundaries of what's possible in machine learning. Key Responsibilities Lead research initiatives to improve OCR accuracy across diverse document types and languages Train and fine-tune LLMs using domain-specific data to enhance performance in specialized contexts Develop techniques to scale LLMs efficiently for high-volume production environments Design and implement novel approaches to model optimization and evaluation Collaborate with cross-functional teams to integrate AI solutions into production systems Stay current with the latest research and incorporate state-of-the-art techniques Document methodologies, experiments, and findings for both technical and non-technical audiences Required Qualifications Masters or PhD in Computer Science, Machine Learning, AI, or a related field Minimum 8+ yr of working experience in the relevant skills and technologies Strong understanding of deep learning architectures, particularly transformer-based models Experience with OCR systems and techniques for improving text recognition accuracy Proficiency in Python and deep learning frameworks (PyTorch, TensorFlow, or JAX) Demonstrated ability to implement and adapt research papers into working code Excellent problem-solving skills with a methodical approach to experimentation Strong communication skills to explain complex technical concepts clearly Preferred Qualifications Research focus during PhD in areas relevant to our work (NLP, computer vision, multimodal learning) Familiarity with distributed training systems for large-scale models Experience with model quantization, pruning, and other efficiency techniques Understanding of evaluation methodologies for assessing model performance Knowledge of MLOps practices and tools for model deployment Publications at top-tier ML conferences (NeurIPS, ICML, ACL, CVPR, etc.)

Job Summary: We are seeking a passionate and highly skilled Solution Architect Generative AI & Agentic AI to design, develop, and deploy intelligent systems leveraging large language models (LLMs), multiagent frameworks, and enterprise AI integration patterns. This role will play a key part in building next-generation AI applications that autonomously reason, act, and learn across complex business workflows.As a Generative & Agentic AI Solution Architect you will own the end-to-end architecture for enterprise-grade GenAI solutions and multi-agent systems. Youll translate business objectives into scalable, compliant, and observable AI capabilitiesspanning data pipelines, foundation-model ops, Retrieval-Augmented Generation (RAG), and autonomous agent orchestration. You will partner with product owners, data scientists, platform engineers, security, and business stakeholders to accelerate AI-driven transformation while safeguarding performance, ethics, and regulatory compliance. Key Responsibilities: 1. Solution Development: Design and implement applications using LLMs (e.g., OpenAI, Mistral, Claude, Llama) Build autonomous multi-agent systems using frameworks like AutoGen, LangGraph, CrewAI, or AgentOps Develop scalable backend services and orchestration pipelines using Python/Node.js integrated with AI APIs Lead discovery workshops, create MVP backlogs, and convert PoCs into production-ready solutions following MLOps / LLMOps best practices Oversee model selection, finetuning, prompt-engineering, evaluation, and continuous monitoring 2. Architecture & Engineering: Translate business requirements into agentic workflows with reasoning, memory, and tool usage Integrate GenAI and agents with enterprise systems (e.g., SAP, ServiceNow, Salesforce) via APIs and RAG pipelines Work with vector databases (e.g., Pinecone, FAISS, Weaviate) for semantic search and long-term memory Define reference architectures for GenAI (LLMs, Diffusion, SSMs) and agentic patterns (task-decomposition, planner-executor, tool-calling) Design secure micro-service and event-driven topologies on cloud / hybrid infra (AWS Bedrock, Azure OpenAI, Google Vertex, private GPUs) Required Technical Competencies: Generative AI: Hands-on with LLMs (GPT-4o, Claude-3, Gemini, Llama-3), Diffusion, and audio-/vision models; experience with HF Transformers, LangChain / LlamaIndex Agentic Frameworks: Experience designing goal-oriented agents using AutoGen, CrewAI, Semantic Kernel, or custom planners; familiarity with tool-calling, memory management, and AI schedulers LLMOps / MLOps: CI/CD for model artifacts, feature stores, vector DBs (Pinecone, Weaviate, FAISS), model gateways, and policy engines (Guardrails, Azure AI Safety) Cloud & DevSecOps: Terraform, Kubernetes, Docker, serverless, GPU orchestration, secret management, SAST/DAST integration Programming: Python (primary), TypeScript/Node, Bash; strong design-pattern discipline and code-review leadership Build replaceable but working proofofconceptsCLI, Streamlit, or VS Code Jupyterso stakeholders can touch” the idea Write production-grade Python/TypeScript to orchestrate agents with AutoGen / CrewAI / Semantic Kernel Hook agents to real systems (SAP BAPIs, Salesforce APIs, REST/GraphQL) and manage auth tokens & secrets Build CI/CD (GitHub Actions, Terraform, Helm) that auto-tests prompts, pushes Docker images, and provisions GPUs Instrument tracing (OpenTelemetry) and set up dashboards for tokens, latency, cost per call Education: Bachelor’s or master’s degree in computer science, Data Science, Artificial Intelligence, Engineering, or a related field Note: Working from office Mandatory

Role: AI Application Software Developer Experience Req: 4- 8 Yrs. Type: Full-Time Location: Bangalore About Us: AION Tech Solutions Ltd (ATS) is a Business Intelligence and IT Services Company. Founded in 1994 formerly known as Goldstone Technologies Limited, we are publicly listed on the BSE Limited and National Stock Exchange of India Limited (NSE). We bring People, Process, and Technology together to solve complex business problems. Our BI & Analytics solutions help customers succeed with data. Our world-class IT Service offerings aim to deliver focused, flexible and high-quality solutions at optimal costs, thereby building trust-based relationships with our customers. At AION-TECH, we are dedicated to revolutionizing the data and analytics consulting landscape in India and emerging markets. We specialize in providing cutting-edge solutions to empower businesses with actionable insights, driving growth and innovation. As we continue to expand our reach and impact, we are seeking a dynamic and experienced Consulting Sales Manager to join our team. JD Summary: 1- 2 years of experience working with Agent Framework Experience with LangGraph is mandatory 2+ years of experience in enterprise If you are interested, Kindly share your resume along with following details. Total Experience: Relevant Experience: Contact Number: Email ID: Current Company: Current CTC: Expected CTC: Notice Period: Current Location: Preferred Location:

Job Title: Agentic AI Architect Experience Level: 10+ years Must-Have Skills: 2+ years of hands-on experience in agentic AI / multi-agent systems. Proficiency with LangChain, Langraph, CrewAI, AutoGen, Haystack, or equivalent frameworks. Strong background in Python and experience with prompt engineering, tools integration, and chaining logic. Solid understanding of LLM APIs, RAG, vector stores, tool use, and memory architectures. Hands-on experience with open-source and commercial LLMs (e.g., GPT-4, Claude, Gemini, Mistral). Experience deploying AI agents in cloud-native environments (AWS, GCP, Azure). Ability to lead architectural discussions, PoCs, and hands-on development in fast-paced environments. Model-cost profiling and budgeting (API call minimization, batch vs. streaming) Latency tuning for real-time agents, Autoscaling strategies. Job Title: AI Consultant: Consulting Mandate: AI-Readiness & Internal Adoption Strategy Objective: Equip Excelras senior leadership with a clear understanding of the most relevant, cost-effective AI technologies (incl. generative AI, LLM co-pilots, agentic AI, etc.) for internal use, and deliver a pragmatic roadmap to drive enterprise-wide AI readiness and adoption across core business functions. Scope & Focus Areas: Internal Use Only: Focus exclusively on applying AI to internal functions and workflows exclude data curation automation and market-facing AI products. Functions in Scope: Project Delivery, Pre-Sales / Customer Solutioning, Sales, Marketing, Finance, HR, Legal, and other support/ops functions. Engagement Modules: 1. Executive AI Workshop (Education & Awareness) 2. Internal AI Opportunity Scan 3. AI Readiness & Change Enablement Roadmap Expected Outcomes: Excelra leadership is educated and aligned on internal AI potential. Clear prioritization of practical AI use cases across functions. Organizational roadmap to enable scalable, secure, and effective AI adoption internally.

Role & responsibilities Sr. AI/ML Engineer Years of experience: 5+ years (with a minimum of 4 years of relevant experience) Work mode: WFO- Chennai (mandate) Type: FTE Notice Period: Immediate Joiners Key skills: Python, Tensorflow, Generative AI, Machine Learning, AWS, Agentic AI, Open AI, Claude, Fast API Job Description: Experience in Gen AI, CI/CD pipelines, scripting languages, and a deep understanding of version control systems(e.g, Git), containerization (e.g, Docker), and continuous integration/deployment tools (e.g, Jenkins) ,third-party integration is a plus, cloud computing platforms (e.g, AWS, GCP, Azure), Kubernetes, and Kafka. Experience building production-grade ML pipelines. Proficient in Python and frameworks like Tensorflow, Keras , or PyTorch. Experience with cloud build, deployment, and orchestration tools Experience with MLOps tools such as MLFlow, Kubeflow, Weights & Biases, AWS Sagemaker, Vertex AI, DVC, Airflow, Prefect, etc. Experience in statistical modeling, machine learning, data mining, and unstructured data analytics. Understanding of ML Lifecycle, MLOps,& Hands-on experience to Productionize the ML Model Detail-oriented, with the ability to work both independently and collaboratively. Ability to work successfully with multi-functional teams, principals, and architects, across organizational boundaries and geographies. Equal comfort driving low-level technical implementation and high-level architecture evolution Experience working with data engineering pipelines Preferred candidate profile

As a Dot Net Full Stack Developer- Gen AI at our technology services client, you will be part of a dynamic team on a contract basis with a strong potential for conversion to full-time employment. Your primary location options include Bangalore, Noida, or Pune, and the ideal candidate will be able to start within an immediate to 15-day notice period. Your role will involve working with Microservice and Event-Driven architectures, utilizing skills in C#, .NET 7.0+/CORE, SQL/No SQL, Web API, and various GenAI models from OpenAI. While not mandatory, experience in Python, Django, Flask, React, and AngularJS would be beneficial. To excel in this position, you should hold a Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Your responsibilities will include developing web applications, customer-facing integrations, and Cloud Native development using Azure. A minimum of 3 years of experience with various GenAI models is required, along with knowledge of Agentic AI/Frameworks and Azure services such as Azure Data Factory, Logic Apps, and functions. Your tasks will encompass technical design, development, and support of web applications and API frameworks, integrating with different systems, AI models, and orchestration layers. Proficiency in ORM Tools, Azure Stack, CI/CD, container deployments, and Git code repository is essential. Hands-on experience in C# .NET Core, CosmosDB, Web Application Development, Web APIs, and knowledge of REST APIs and data structures are crucial. Additionally, you should possess good debugging and analytical skills, familiarity with design patterns, code reviews, caching strategies, and the ability to analyze client requirements and propose solutions. Strong communication skills are necessary for effectively conveying information to peers, leadership, and customers via email, phone, or in-person interactions. If you meet these requirements and are interested in this opportunity, please share your updated resume with us at sathwik@s3staff.com. We look forward to potentially welcoming you to our team.,

As a skilled RPA Developer with expertise in Blue Prism, you will be responsible for designing, developing, and implementing robotic process automation solutions at SentientGeeks. Your key responsibilities will include designing, developing, and deploying Blue Prism automation solutions, analyzing business processes to identify automation opportunities, developing reusable automation components, and performing testing, debugging, and troubleshooting of RPA bots. You will collaborate with business and IT teams to optimize automation workflows, maintain and update existing automation solutions, and ensure compliance with security and governance standards. To be successful in this role, you should have at least 3 years of experience in RPA development using Blue Prism. Applicants must be from West Bengal or nearby states like Bihar, Odisha, Jharkhand, or willing to relocate to Kolkata. You should have a strong understanding of the process automation lifecycle and Power Automate, as well as experience in SQL, API integration, and scripting (Python or C#). Knowledge of AI/ML-based automation is preferred but not mandatory, and experience or knowledge in Agentic AI will be an advantage. Additionally, you should possess the ability to analyze and document business processes, along with strong problem-solving and analytical skills. Joining SentientGeeks means becoming part of a forward-thinking organization that combines innovation with real-world impact. With a strong reputation for delivering tailored software solutions to global SMEs, SentientGeeks offers a dynamic and collaborative work culture that encourages continuous learning and growth. The company's diverse technology stack, commitment to Agile best practices, and exposure to modern tools like microservices, cloud platforms, and DevOps pipelines ensure that you stay at the forefront of the industry. SentientGeeks fosters a people-first environment where every idea is valued, career development is supported, and work-life balance is genuinely respected.,

You are an experienced professional with over 10 years of total experience, seeking a new opportunity to showcase your expertise in Python, LLM integration, and GenAI development workflows. Your strong knowledge in prompt engineering, vector databases, retrieval-augmented generation (RAG), and toolchains sets you apart. You have hands-on experience with Agentic AI and Open AI, as well as agent frameworks like LangChain Agents, Semantic Kernel, Haystack, or custom-built agents. Your proven track record includes leading LLM/GenAI projects from Proof-of-Concept to Production, showcasing your deep understanding of modern data workflows including ingestion, transformation, cataloguing, validation, and analytics. Collaboration is key for you, as you have the ability to work across engineering, product, and governance teams. Experience with enterprise data products, MLOps, or DataOps platforms, as well as familiarity with governance workflows and metadata-driven automation, are part of your skill set. Your responsibilities will include understanding clients" business use cases and technical requirements to create elegant technical designs, mapping decisions with requirements, identifying the best solutions, and defining guidelines and benchmarks for NFR considerations during project implementation. You will be responsible for writing and reviewing design documents, reviewing architecture and design, ensuring best practices are followed, and developing overall solutions for functional and non-functional requirements. To excel in this role, you should have a Bachelor's or Master's degree in computer science, Information Technology, or a related field. Your excellent communication and collaboration skills will be essential as you resolve issues raised during code/review and carry out POCs to validate suggested designs and technologies. Join us at Nagarro and be part of a dynamic and non-hierarchical work culture where your expertise will be valued and your contributions will make a difference.,

As a passionate and experienced Expert / Senior Full Stack Developer/Senior Developer with AI Skills at SAP, you will be joining a new engineering team focused on enabling the world to run better through innovative technology solutions. With a strong emphasis on collaboration and a shared passion for driving positive change, you will play a key role in building the foundation for tomorrow and creating an inclusive workplace that values flexibility and diversity. Your responsibilities will include developing cloud & SaaS applications, leveraging your expertise in AI product development, particularly in Agentic AI. You will have the opportunity to work with LLMs and generative AI frameworks, integrating AI-driven features into applications. Your experience with GenAI, LLMs, RAG, Lang Chain, VectorDBs will be crucial in contributing to the success of the team. In this role, you will utilize your expertise in developing RESTful services using technologies such as Spring Boot or Node.js, along with knowledge of SAPUI5 JavaScript, React, Angular, or Vue. Additionally, familiarity with BTP, CDS, CAP, Cloud Foundry, microservices, CI/CD pipelines, DwC, and build automation tools like Jenkins will be beneficial. You will be part of the Deployment Hub team, which is dedicated to simplifying deployment experiences and accelerating time to value through personalization and integration of SAP products. By focusing on customer obsession and leveraging automation and data-driven approaches, the team aims to enhance the product experience, drive improved customer satisfaction, and increase operational efficiency. At SAP, we are committed to creating an inclusive and diverse workplace where every individual, regardless of background, can thrive and contribute their unique talents. Our culture of inclusion, focus on well-being, and flexible working models ensure that all employees can perform at their best. We value the diverse capabilities and qualities that each person brings to the company, investing in our employees" growth and development to unleash their full potential. As part of a global cloud company with a strong team ethic and a commitment to personal development, you will have the opportunity to work on cutting-edge innovations that impact over four hundred thousand customers worldwide. SAP's purpose-driven approach and collaborative culture empower employees to tackle challenges and drive meaningful solutions. Join SAP in its mission to unleash all talent, create a more equitable world, and drive positive change through inclusive practices and innovative technology solutions.,

As an AI Engineer (Generative AI / Agentic AI) at Roboyo, you will be responsible for developing AI solutions using Generative AI models such as LLMs and agent-based frameworks. Your role will revolve around leveraging your strong Python skills and cloud technology experience in Azure, AWS, and GCP to build intelligent applications like chatbots and AI agents. This position will involve working on both client projects and internal prototypes, fostering collaboration with solution architects, data engineers, and active participation in agile development cycles. Your key responsibilities will include designing and testing AI-driven applications, deploying models and AI solutions on cloud platforms to ensure scalability, collaborating with the team to align AI solutions with client needs, and contributing to Roboyo's internal AI prototypes and knowledge sharing initiatives. The ideal candidate will have 3-6 years of software development experience with a focus on AI/ML, strong Python skills, and proficiency in AI libraries like TensorFlow and PyTorch. Experience in deploying AI solutions on cloud platforms and knowledge of Generative AI models such as LLMs and GPT will be essential. Additionally, good data handling and integration skills are required. Preferred qualifications include exposure to automation platforms like UiPath and Power Platform, familiarity with web development, APIs, or conversational AI tools such as Rasa and Microsoft Bot Framework. AI certifications will be considered a plus. Join our dynamic and ambitious team at Roboyo, where you will experience a fun and innovative work environment with a group of passionate individuals dedicated to pushing the boundaries of technology and automation. By applying for this role, you consent to the processing of your personal data for recruitment purposes in accordance with our Privacy Policy.,

You are a Data Science Engineer who will be contributing to the development of intelligent, autonomous AI systems. The ideal candidate should have a strong background in agentic AI, LLMs, SLMs, vector DB, and knowledge graphs. Your responsibilities will include deploying AI solutions that leverage technologies such as Retrieval-Augmented Generation (RAG), multi-agent frameworks, and hybrid search techniques to enhance enterprise applications. As part of the flexible scheme, you will enjoy various benefits such as a best-in-class leave policy, gender-neutral parental leaves, childcare assistance benefit reimbursement, sponsorship for industry-relevant certifications, employee assistance program, comprehensive hospitalization insurance, accident and term life insurance, and health screening. Your key responsibilities will involve designing and developing Agentic AI Applications using frameworks like LangChain, CrewAI, and AutoGen, implementing RAG Pipelines, fine-tuning Language Models, training NER Models, developing Knowledge Graphs, collaborating cross-functionally, and optimizing AI workflows. To excel in this role, you should have at least 4 years of professional experience in AI/ML development, proficiency in Python, Python API frameworks, SQL, and familiarity with AI/ML frameworks like TensorFlow or PyTorch. Experience in deploying AI models on cloud platforms, understanding of LLMs, SLMs, semantic technologies, and MLOps tools is required. Additionally, hands-on experience with vector databases, embedding techniques, and developing AI solutions for specific industries will be beneficial. You will receive support through training, coaching, and a culture of continuous learning to aid in your career progression. The company strives for a culture of empowerment, responsibility, commercial thinking, initiative, and collaboration. They promote a positive, fair, and inclusive work environment for all individuals. For further information about the company and its teams, please visit the company website at https://www.db.com/company/company.htm. Join a team that celebrates success and fosters a culture of excellence and inclusivity.,

Job Title: Product/Application Architect Summary We are seeking a hands-on Product/Application Architect with a proven track record in building enterprise-scale, full-stack applications and AI/ML-powered solutions. The ideal candidate is a strong technical leader who excels in system architecture, cross-functional collaboration, and mentoring engineering teams. You will own architectural decisions across product lines, ensure scalable and maintainable system design, and drive the integration of AI/ML into modern digital platforms. This role demands a combination of deep technical expertise, proactive leadership, and effective communication. Key Responsibilities Architecture & Solution Design Architect robust, scalable, and secure enterprise applications across frontend, backend, and cloud layers. Design and guide the integration of AI/ML models into product workflows, ensuring performance, maintainability, and observability. Define and enforce architectural standards, reusable patterns, and best practices across teams. Technical Leadership Provide hands-on technical direction throughout the software development lifecycle. Review designs and code to uphold architectural integrity and code quality. Introduce and drive adoption of new tools, technologies, and frameworks. Collaboration & Mentorship Translate business needs into high-impact technical solutions through close collaboration with product, design, and data teams. Mentor engineers, provide architectural guidance, and elevate team capabilities. Communicate architectural decisions clearly to both technical and non-technical audiences. Delivery & Execution Support agile development practices, CI/CD pipelines, and DevOps processes. Anticipate and resolve architectural challenges to ensure delivery speed and quality. Continuously evaluate system performance and make improvement recommendations. Required Qualifications Bachelors or Master’s in Computer Science or related field. 10+ years in software engineering, with 3+ years in an architecture or technical leadership role. Experience building full-stack applications using technologies like React, Angular, Node.js, Python, Java, or Golang. Strong background in cloud-native development (AWS or GCP), microservices, and containerization (Docker, Kubernetes). Practical experience designing and deploying AI/ML features using frameworks such as TensorFlow, PyTorch, or Scikit-learn. Deep understanding of system design, API architecture, scalability, and performance optimization. Strong communicator with the ability to influence technical and business stakeholders. Proven experience mentoring teams and fostering engineering excellence.

Job Title: Technical Product Manager Enterprise Applications Summary We are looking for an experienced Technical Product Manager (TPM) to lead the development of enterprise-grade software products. This role bridges deep technical knowledge with strong product management expertise. You will work closely with engineering, architecture, and cross-functional teams to define, prioritize, and deliver high-impact features and platform capabilities. The ideal candidate is someone who can engage engineers on system design, translate complex technical requirements into actionable plans, and communicate product value effectively to internal and external stakeholders. Key Responsibilities Product Strategy & Technical Planning Own the product roadmap and delivery of enterprise application features with a strong technical foundation. Partner with engineering and architecture teams to translate product goals into scalable, performant, and secure solutions. Evaluate technical feasibility and actively participate in design and architecture discussions. Requirements Management & Feature Definition Gather and translate complex functional and technical requirements into clear user stories and acceptance criteria. Own the product backlog and ensure technical integrity in prioritization and trade-off decisions. Define success metrics and track feature impact on platform performance, adoption, and stability. Stakeholder Communication & Alignment Act as the point of contact between engineering, data, product design, and customer-facing teams. Drive alignment and clarity around scope, priorities, and deliverables across cross-functional teams. Communicate technical roadmaps and rationale effectively to both technical and business stakeholders. Execution & Delivery Oversight Lead sprint planning, backlog grooming, and release coordination with agile teams. Proactively identify delivery risks, technical dependencies, and blockers—and work to resolve them. Monitor and optimize delivery velocity, system health, and platform scalability with a hands-on approach. Required Qualifications Bachelor’s or Master’s in Computer Science, Engineering, or related technical discipline. 6–10 years of experience in product management, with at least 3+ years as a Technical Product Manager . Experience delivering enterprise-grade software platforms, APIs, or data-intensive applications. Strong technical acumen—able to engage in architecture, data modeling, system design, and API discussions. Hands-on experience with modern cloud platforms (AWS, GCP, or Azure), microservices, DevOps practices, and CI/CD pipelines. Proven ability to write detailed technical product specs, define clear roadmaps, and manage stakeholder expectations. Preferred Qualifications Background in software engineering or systems architecture. Experience working on AI/ML platforms, developer tools, or infrastructure products. Familiarity with observability, scalability, or performance optimization for enterprise systems. Proficiency with tools like Jira, Confluence, Swagger, Postman, and GitHub. Excellent communicator who can simplify the complex and align diverse teams toward a common goal.