15 Autogen Jobs

Responsibilities Job Responsibilities: Architect and Design scalable and efficient AI solutions, leveraging technologies such as LangChain, Agentic AI, RAG, Event driven architecture using Kafka etc. Collaborate with cross-functional teams to identify business needs and develop tailored solutions Provide technical leadership and guidance to junior team members Stay up-to-date with the latest advancements in AI, machine learning, and data science, and apply this knowledge to improve our solutions Communicate complex technical concepts to non-technical stakeholders and team members Troubleshoot and resolve technical issues, and provide support to ensure high system uptime and performance Develop and maintain technical documentation, and ensure that all solutions are well-documented and easily maintainable Technical and Professional Requirements: Preferred Qualifications: Experience with Agentic Frameworks such LangGraph, AutoGen, CrewAI Experience with cloud-based technologies, such as AWS or Azure Familiarity with containerization using Docker, and orchestration using Kubernetes Familiarity with agile development methodologies, such as Scrum or Kanban Experience with AI-related tools and frameworks, such as TensorFlow or PyTorch Knowledge of data engineering, data warehousing, and data governance Experience with agile development methodologies, such as Scrum or Kanban Certification in data science, machine learning, or a related field Experience with leadership and mentoring, with a proven track record of guiding junior team members and helping them grow in their careers Strong business acumen, with the ability to understand business needs and develop solutions that drive business growth and improvement. Preferred Skills: Technology->Artificial Intelligence->Artificial Intelligence - ALL Technology->Machine Learning->Generative AI Technology->Machine Learning->AI/ML Solution Architecture and Design->generative ai Technology->Machine Learning->Python Additional Responsibilities: Required Qualifications: B.E/B.Tech/M.E/M.Tech/MCA degree in Computer Science, Information Technology, or a related field At least 8 years of experience in software development, with at least 2 years of experience in Generative AI Proficiency in LangChain, Python, Generative AI, Agentic AI, Kafka, and Advanced Prompt Engineering Techniques Strong understanding of software architecture, design patterns, and principles Excellent problem-solving skills, with the ability to analyze complex technical problems and develop creative solutions Strong communication and teamwork skills, with the ability to collaborate with cross-functional teams and communicate technical concepts to non-technical stakeholders Tech Skill: LangChain, Python, Fast/Flask API, Gen AI, Agentic AI, Advanced Prompt Engineering, Machine Learning, SQL, Kafka Soft Skill: Communication, Team Work, Problem Solving Educational Requirements Bachelor of Engineering Service Line Information Systems Location of posting is subject to business requirements

Job Description: We are seeking a highly skilled and passionate AI/ML Engineer with strong expertise in Generative AI and Large Language Models (LLMs) . The ideal candidate will have hands-on experience in building, fine-tuning, and deploying agentic AI systems using modern GenAI frameworks. You will work on cutting-edge projects involving prompt engineering , RAG pipelines , and memory architectures such as vector databases. Responsibilities: Design and implement AI/ML solutions using modern LLM architectures and agentic AI concepts . Build and optimize intelligent agents using frameworks such as LangChain, AutoGen, CrewAI , or Semantic Kernel . Develop and fine-tune generative AI models with Transformers , HuggingFace , OpenAI API , etc. Implement and enhance Retrieval-Augmented Generation (RAG) pipelines and memory systems like vector databases (e.g., FAISS, Pinecone). Write high-performance Python code to support experimentation, model integration, and API interactions. Collaborate cross-functionally with product, design, and engineering teams in an agile development environment. Deploy AI solutions on cloud platforms (AWS, Azure, or GCP) with a focus on scalability and performance. Stay updated with the latest advancements in the AI/ML/GenAI space. Required Experience: 3 to 8 years of experience in AI/ML , with at least 1 year in Generative AI / LLM-based projects . Proven expertise in Python programming and related libraries for ML/GenAI. Hands-on experience with one or more GenAI frameworks (LangChain, AutoGen, etc.). Solid understanding of prompt engineering , RAG , vector DBs , and agent-based systems . Cloud deployment experience (AWS, Azure, or GCP) is a must. Strong analytical and problem-solving skills.

We are seeking a skilled, motivated, and quick-learner Full Stack Developer to join our team working on cutting-edge Gen AI development work. The successful candidate will be responsible for developing innovative applications and solutions using including frontend and backend. While the solutions will often utilize Retrieval Augmented Generation (RAG), Agentic frameworks the role will not be limited to this, and will involve various AI technologies. Develop and maintain web applications using Angular, NDBX frameworks, and other modern technologies. Design and implement databases in Postgres DB, apply & implement ingestion and retrieval pipelines using pgvector, neo4j, ensuring efficient and secure data practices. Use different generative AI models & frameworks such as LangChain, Haystack, LlamIndex etc for chucking, embeddings, chat completions, integration with different data sources etc. Familiarity and experience with different agentic frameworks and technique like Langgraph, AutoGen, CrewAI, tool using techniques like MCP (Model Context Protocol). Use Azure & AWS cloud platforms in implementation to stay relevant to company AI guidelines requirements. Usage of OpenAPI standards, API first approach to develop APIs for communication between different software components. Collaborate with the team members to integrate various GenAI capabilities into the applications, including but not limited to RAG. Write clean, maintainable, and efficient code that adheres to company standards. Conduct testing to identify and fix bugs or vulnerabilities. Use collaboration and versioning tools such as GitHub for effective team working and code management. Stay updated with emerging technologies and apply them into operations and activities. Show a strong desire for continuous learning and the ability to quickly adapt and implement new technologies. Bachelor's degree in Computer Science, Information Technology, or a related field with 6+ years of working experience. Proven experience as a Full Stack Developer or similar role in designing, developing and deploying end to end applications. Knowledge of multiple front-end languages and libraries (e.g. HTML/ CSS, JavaScript, XML, jQuery). Experience with Angular and NDBX frameworks. Good experience with database technology such as Postgres DB, vector databases. Experience developing APIs following the OpenAPI standards. Understanding & experience in various generative AI models on cloud platforms such as Azure/ AWS, including Retrieval Augmented Generation, Prompt engineering, Agentic RAG, Agentic frameworks, Model context protocols etc. Experience with collaboration and versioning tools such as GitHub Experience with docker images, containers to package up an application with all the parts it needs, such as libraries and other dependencies, and ship it all out as one package. Functional Demonstrated responsiveness and accuracy Strong collaboration and teamwork skills Behaviours Take Ownership & Accountability Assertiveness & Persuasiveness Great attention to detail and problem-solving skills. Self-motivated with a keen interest in learning and implementing new technologies.

Job Description: We are seeking a highly skilled and passionate AI/ML Engineer with strong expertise in Generative AI and Large Language Models (LLMs) . The ideal candidate will have hands-on experience in building, fine-tuning, and deploying agentic AI systems using modern GenAI frameworks. You will work on cutting-edge projects involving prompt engineering , RAG pipelines , and memory architectures such as vector databases. Responsibilities: Design and implement AI/ML solutions using modern LLM architectures and agentic AI concepts . Build and optimize intelligent agents using frameworks such as LangChain, AutoGen, CrewAI , or Semantic Kernel . Develop and fine-tune generative AI models with Transformers , HuggingFace , OpenAI API , etc. Implement and enhance Retrieval-Augmented Generation (RAG) pipelines and memory systems like vector databases (e.g., FAISS, Pinecone). Write high-performance Python code to support experimentation, model integration, and API interactions. Collaborate cross-functionally with product, design, and engineering teams in an agile development environment. Deploy AI solutions on cloud platforms (AWS, Azure, or GCP) with a focus on scalability and performance. Stay updated with the latest advancements in the AI/ML/GenAI space. Required Experience: 3 to 8 years of experience in AI/ML , with at least 1 year in Generative AI / LLM-based projects . Proven expertise in Python programming and related libraries for ML/GenAI. Hands-on experience with one or more GenAI frameworks (LangChain, AutoGen, etc.). Solid understanding of prompt engineering , RAG , vector DBs , and agent-based systems . Cloud deployment experience (AWS, Azure, or GCP) is a must. Strong analytical and problem-solving skills.

We are seeking a talented AI Engineer to join our team. The ideal candidate will have expertise in machine learning, NLP, deep learning, and deploying AI models, with experience in advanced tools and frameworks across AI and backend development. Responsibilities: Develop and deploy AI models using machine learning , deep learning (CNNs, RNNs, LSTMs), and NLP ( GPT , BERT ). Work with advanced AI frameworks ( Langchain , AutoGen , Streamlit ) and backend frameworks ( FastAPI , Flask ). Implement reinforcement learning and autonomous decision-making systems. Leverage cloud platforms ( AWS: Bedrock, Sagemaker ) for model deployment and scalability. Integrate third-party services ( OpenAI , Azure Foundry ) and tools ( RelevanceAI , Huggingface ). Work with databases ( MongoDB , Postgres , Redis ) and distributed systems. Utilize advanced AI techniques like RAG , fine-tuning , LoRA , QLoRA , multi-model systems , and stable diffusion . Explore AI applications in video generation models ( text-to-video , image-to-video ). Skills Needed: Expertise in AI frameworks : Langchain , AutoGen , Streamlit . Strong experience with FastAPI , Flask , and cloud platforms ( AWS , Bedrock , Sagemaker ). Knowledge of third-party services ( OpenAI , Azure Foundry ) and tools ( RelevanceAI , Huggingface ). Solid experience with databases ( MongoDB , Postgres , Redis ). Proficient in machine learning , deep learning , NLP , and reinforcement learning . Hands-on experience with advanced AI techniques: RAG , fine-tuning , LoRA , QLoRA , SLM , LLM , stable diffusion , and video generation models .

Role & responsibilities Job Description: The ideal candidate will have a proven track record of working across the tech stack, from backend systems and APIs to frontend user interfaces, ensuring a seamless integration of AI models into production ready systems. The candidate will need to demonstrate he or she has a strong technical background, is curious, experienced with leading teams, and has exceptional communication and problem-solving skills. Key responsibilities include: Lead the design and build of scalable web and cloud-based applications integrating generative AI models. Collaborate with the Lead Data Architect to define system architecture, select appropriate tools and frameworks, and ensure best practices in software design and development. Build and maintain a robust agentic architecture, APIs, and microservices using technologies such as Python and Node.js or similar. Develop user friendly, responsive user interfaces using technologies such React and Angular. Design and maintain Azure based infrastructure for hosting and scaling AI solutions. Monitor and improve system performance. Implement best practices for secure and scalable application design, data storage, and API handling. Work closely with cross-functional team members, including Product Owners, Scrum Master, Lead Data Architect, UI/UX, and Application Owners to ensure the end-to-end delivery of user stories and features. Participate in Scrum ceremonies and actively maintain your cards on the scrum board. Maintain comprehensive technical documentation for all systems and processes. Provide technical guidance and mentorship to junior engineers, conduct code reviews, and foster a culture of growth and learning. Skills and Abilities: Proven experience in backend development using Python and Node.js. Advanced frontend development skills using React or Angular with a deep understanding of component-based architecture. Hands-on knowledge and experience with Microsoft Azure cloud services, including Azure Foundry, Functions, Blob, and container tools such as Azure Kubernetes. Ability to design and manage data pipelines ensures high-quality data is available for AI model training and deployment. Strong knowledge and experience working with structured and unstructured data that span across SQL databases and NoSQL databases such as MongoDB or CosmosDB. Experience with various AI tools like LangChain, Autogen, and LangGraph. Experienced in developing APIs and API management. Experience building and working with CI/CD pipelines and version control tools like GIT. Experience developing and delivering event driven architectures. Experience in using and implementing open-source large language models such as Llama, Mistral, and assorted embedding models Experience doing prompt engineering. Experience working with agile delivery methodologies and working in an agile delivery team. Ability to listen, build rapport, and credibility within IT and across various business units. Ability to lead and guide junior engineers. Curious. Stays abreast of current and upcoming technologies and tools.

Job Summary Director, Collection Platforms and AI As a director, you will be essential to drive customer satisfaction by delivering tangible business results to the customers. You will be working for the Enterprise Data Organization and will be an advocate and problem solver for the customers in your portfolio as part of the Collection Platforms and AI team. You will be using communication and problem-solving skills to support the customer on their automation journey with emerging automation tools to build and deliver end to end automation solutions for them. Team Collection Platforms and AI Enterprise Data Organizations objective is to drive growth across S&P divisions, enhance speed and productivity in our operations, and prepare our data estate for the future, benefiting our customers. Therefore, automation represents a massive opportunity to improve quality and efficiency, to expand into new markets and products, and to create customer and shareholder value. Agentic automation is the next frontier in intelligent process evolution, combining AI agents, orchestration layers, and cloud-native infrastructure to enable autonomous decision-making and task execution. To leverage the advancements in automation tools, its imperative to not only invest in the technologies but also democratize them, build literacy, and empower the work force. The Collection Platforms and AI team's mission is to drive this automation strategy across S&P Global and help create a truly digital workplace. We are responsible for creating, planning, and delivering transformational projects for the company using state of the art technologies and data science methods, developed either in house or in partnership with vendors. We are transforming the way we are collecting the essential intelligence our customers need to do decision with conviction, delivering it faster and at scale while maintaining the highest quality standards. What were looking for ? You will lead the design, development, and scaling of AI-driven agentic pipelines to transform workflows across S&P Global. This role requires a strategic leader who can architect end-to-end automation solutions using agentic frameworks, cloud infrastructure, and orchestration tools while managing senior stakeholders and driving adoption at scale. A visionary technical leader with knowledge of designing agentic pipelines and deploying AI applications in production environments. Understanding of cloud infrastructure (AWS/Azure/GCP), orchestration tools (e.g., Airflow, Kubeflow), and agentic frameworks (e.g., LangChain, AutoGen). Proven ability to translate business workflows into automation solutions, with emphasis on financial/data services use cases. An independent proactive person who is innovative, adaptable, creative, and detailed-oriented with high energy and a positive attitude. Exceptional skills in listening to clients, articulating ideas, and complex information in a clear and concise manner. Proven record of creating and maintaining strong relationships with senior members of client organizations, addressing their needs, and maintaining a high level of client satisfaction. Ability to understand what the right solution is for all type of problems, understanding and identifying the ultimate value of each project. Operationalize this technology across S&P Global, delivering scalable solutions that enhance efficiency, reduce latency, and unlock new capabilities for internal and external clients. Exceptional communication skills with experience presenting to C-level executives Responsibilities Engage with the multiple client areas (external and internal) and truly understand their problem and then deliver and support solutions that fit their needs. Understand the existing S&P Global product to leverage existing products as necessary to deliver a seamless end to end solution to the client. Evangelize agentic capabilities through workshops, demos, and executive briefings. Educate and spread awareness within the external client-base about automation capabilities to increase usage and idea generation. Increase automation adoption by focusing on distinct users and distinct processes. Deliver exceptional communication to multiple layers of management for the client. Provide automation training, coaching, and assistance specific to a users role. Demonstrate strong working knowledge of automation features to meet evolving client needs. Extensive knowledge and literacy of the suite of products and services offered through ongoing enhancements, and new offerings and how they fulfill customer needs. Establish monitoring frameworks for agent performance, drift detection, and self-healing mechanisms. Develop governance models for ethical AI agent deployment and compliance. Preferred Qualification 12+ years work experience with 5+ years in the Automation/AI space Knowledge of: Cloud platforms (AWS SageMaker, Azure ML; etc) Orchestration tools (Prefect, Airflow; etc) Agentic toolkits (LangChain, LlamaIndex, AutoGen) Experience in productionizing AI applications. Strong programming skills in python and common AI frameworks Experience with multi-modal LLMs and integrating vision and text for autonomous agents. Excellent written and oral communication in English Excellent presentation skills with a high degree of comfort speaking with senior executives, IT Management, and developers. Hands-on ability to build quick prototype/visuals to assist with high level product concepts and capabilities. Experience in deployment and management of applications utilizing cloud-based infrastructure. A desire to work in a fast-paced and challenging work environment Ability to work in a cross functional, multi geographic teams

Role & responsibilities : Hiring for GenAI Engineering Lead/ Architect (Must have - Autogen,CrewAI and WrenAI) Experience - 7 to 10 Years. Hybrid mode of work. This role requires hands-on project expertise to implement an enterprise application built on top of SQL and unstructured data (images,videos,logs etc.) using Autogen, CrewAI, Azure OpenAI GPT-4 Turbo and GPT-4V with PTUs. This is a hands-on architect role requiring both deep technical skills and the ability to deliver complex AI applications end-to-end on large operational databases to render charts, tables and other insights as completions from NLP-based prompts. Deep experience of Autogen and Azure AI Search is a MUST. This is not a document retrieval, summarization or semantic search-based role. Please share your CV to ranjitha@promantusinc.com Regards, Ranjitha. 7619598141

Role: Agentic AI Engineer-Healthcare Exp: 4-10 years Location: Hyderabad, India (Onsite) Job Description: Role and Responsibilities: Design Agentic AI Systems for Healthcare Develop frameworks for efficient agent-to-agent communication, dynamic task assignment, and context-aware decision-making, with a focus on improving healthcare operations and patient outcomes. Leverage tools such as LangGraph, AutoGen, and OpenAI Swarm to enhance decision support systems in clinical environments. Implement Retrieval-Augmented Generation (RAG) pipelines and memory management techniques to ground agents in healthcare-specific knowledge (e.g., medical literature, patient records, treatment protocols). Build Versatile AI Capabilities for Healthcare Work with Vision-Language Models (VLMs) to analyze medical imaging (e.g., X-rays, MRIs) alongside text-based reasoning to assist in tasks such as anomaly detection, diagnosis support, and treatment planning. Create autonomous agents capable of executing complex healthcare tasks, such as data analysis, patient record management, or clinical decision support, triggered by real-time health data or environmental factors. Optimize AI for Real-World Healthcare Impact Deploy scalable AI workflows in cloud environments (AWS/GCP), ensuring robust performance for time-sensitive healthcare applications, such as real-time patient monitoring or critical care support. Implement observability tools like LangSmith to track agent behavior, identify anomalies, debug failures, and enhance the reliability and safety of AI systems in healthcare settings. Human-in-the-Loop Intelligence in Healthcare Design mechanisms to integrate human oversight into AI systems, ensuring that healthcare professionals can intervene when necessary. Implement features like bias testing, fallback protocols, and explainability to balance autonomy with safety and ethical considerations. Leverage tools like LangSmith for real-time monitoring and debugging of AI agents to optimize performance and reduce risk in clinical and healthcare-related environments. Proven AI Development Experience: Demonstrate a portfolio of projects highlighting expertise in multi-agent systems, RAG implementations, and decision automation, specifically applied to healthcare (GitHub/Kaggle links required). Proficiency in Python and AI/ML frameworks (PyTorch, TensorFlow, Hugging Face) with a focus on healthcare applications. Technology/Skills Required: Experience with cloud platforms (AWS, GCP) and vector databases (Pinecone, Milvus) in healthcare contexts, managing patient data, clinical workflows, and medical knowledge. Familiarity with agentic frameworks (LangChain, CrewAI) and large language model orchestration to enhance clinical decision support systems. Interested candidate can drop the CV at saepoori@theaesgroup.com or notify+JzW2LVeiJVHx@atsapplications.com

Job Description: We are looking for a talented and motivated Python Developer with a strong background in AI technologies to join our dynamic team. As a Python Developer focusing on AI, you will work on building and improving AI-driven applications, particularly those utilizing agent-based systems, CrewAI, and AutoGen technologies. 'Your primary responsibility will be to design, develop, and implement intelligent solutions that can adapt, automate, and enhance processes within various systems,Design and develop AI applications using Python, leveraging frameworks like CrewAI and AutoGen to create intelligent and autonomous systems. Implement and optimize agent-based systems to simulate complex behavior and interactions in real-world scenarios. Build and integrate AI models into applications, ensuring performance, scalability, and reliability. Develop and maintain APIs for AI and automation services. Collaborate with cross-functional teams, including data scientists and other developers, to deliver cutting-edge AI-powered solutions. Continuously improve system performance through optimizations and the integration of advanced AI techniques. Troubleshoot and debug issues in AI-driven systems and ensure timely resolution. Stay up to date with the latest AI trends and advancements, particularly around agent-based systems, CrewAI, and AutoGen.

ob Description: We are looking for a talented and motivated Python Developer with a strong background in AI technologies to join our dynamic team. As a Python Developer focusing on AI, you will work on building and improving AI-driven applications, particularly those utilizing agent-based systems, CrewAI, and AutoGen technologies. Your primary responsibility will be to design, develop, and implement intelligent solutions that can adapt, automate, and enhance processes within various systems. Key Responsibilities: Design and develop AI applications using Python, leveraging frameworks like CrewAI and AutoGen to create intelligent and autonomous systems. Implement and optimize agent-based systems to simulate complex behavior and interactions in real-world scenarios. Build and integrate AI models into applications, ensuring performance, scalability, and reliability. Develop and maintain APIs for AI and automation services. Collaborate with cross-functional teams, including data scientists and other developers, to deliver cutting-edge AI-powered solutions. Continuously improve system performance through optimizations and the integration of advanced AI techniques. Troubleshoot and debug issues in AI-driven systems and ensure timely resolution. Stay up to date with the latest AI trends and advancements, particularly around agent-based systems, CrewAI, and AutoGen. Key Skills Required: Proficiency in Python, with a strong understanding of Python libraries and frameworks (such as NumPy, Pandas, TensorFlow, Keras, or PyTorch). Solid experience with agent-based systems and related concepts in AI. Familiarity with CrewAI and AutoGen technologies (or similar AI frameworks). Experience with building and deploying AI models, including both supervised and unsupervised learning. Knowledge of machine learning algorithms, deep learning, and neural networks. Experience with cloud platforms like AWS, Azure, or Google Cloud for deploying AI applications. Familiarity with version control systems like Git. Strong problem-solving skills and ability to work in a fast-paced environment. Good communication skills and the ability to work collaboratively within a team. Qualifications Bachelor's degree in Computer Science, Engineering, or a related field. Experience with machine learning frameworks such as Agent-CrewAi, Autogen,TensorFlow, PyTorch, or Scikit-Learn. Proven experience with Python programming language. Strong understanding of statistical and mathematical principles. Experience with data handling libraries such as Pandas and NumPy. Excellent problem-solving skills. Strong communication and teamwork abilities.

Job Description & Responsibilities Identify valuable data sources and automate collection processes Undertake preprocessing of structured and unstructured data Analyze large amounts of information to discover trends and patterns Build predictive models and machine-learning algorithms Combine models through ensemble modeling Present information using data visualization techniques Propose solutions and strategies to business challenges Collaborate with engineering and product development teams. Qualification, Skills & Experience Good hands-on experience in Advanced Python Programming Experiences in scalable Microservice Architecture and Development Good understanding of API Development, Messaging Queues and Asynchronous Task Management Basic DevOp skills and working with Docker Experience with LangChain, LangGraph, AutoGen or CrewAI are a big plus Ability to co-work in a small team with different locations Ability to learn and understand a new Python framework

We are seeking a proficient AI/ML Engineer responsible for testing, deploying, and hosting various Large Language Models (LLMs). The role involves monitoring deployed agentic services, ensuring their optimal performance, and staying abreast of the latest advancements in AI technologies. Key Responsibilities: LLM Deployment & Hosting Evaluate, test, and deploy diverse LLMs on cloud-based and on-premise infrastructures. Optimize model performance for scalability and efficiency. Implement secure API endpoints and model-serving pipelines. Strong CI/CD skills and knowledge of CI/CD tools like Jenkins, GitHub Actions, CircleCI etc. Agentic AI Services Deploy and maintain AI agents using frameworks such as CrewAI, Agnos(Phi Data), AutoGen etc. Integrate LLMs into business workflows and automation tools. Design, monitor, and enhance agentic services for real-world applications. Monitoring & Optimization Utilize advanced observability tools to monitor model performance, latency, and cost efficiency. Implement tools like AgentOps, OpenLIT, Langfuse, and Langtrace for comprehensive monitoring and debugging of LLM applications. Develop logging, tracing, and alerting systems for deployed models and AI agents. Conduct A/B testing and gather user feedback to refine AI behavior. Address model drift and retrain models as necessary. Best Practices & Research Stay updated with the latest advancements in AI, LLMs, and agentic systems. Implement best practices for prompt engineering, reinforcement learning from human feedback (RLHF), and fine-tuning methodologies. Optimize compute costs and infrastructure usage for AI applications. Collaborate with researchers and ML engineers to integrate state-of-the-art AI techniques. Strong knowledge on version control tools like GitHub Qualifications & Skills: Proficiency with LLM frameworks such as Hugging Face Transformers, OpenAI API, or Meta AI models. Strong programming skills in Python and experience with deep learning libraries (PyTorch, TensorFlow, JAX). Experience with cloud platforms (AWS, Azure, GCP) and model deployment tools (Docker, Kubernetes, FastAPI, Ray Serve). Familiarity with vector databases (FAISS, Pinecone, Weaviate) and retrieval-augmented generation (RAG) techniques. Hands-on experience with monitoring tools such as AgentOps, OpenLIT, Langfuse, and Langtrace. Understanding of prompt engineering, LLM fine-tuning, and agent-based automation. Excellent problem-solving skills and the ability to work in a dynamic AI research and deployment team. Preferred Qualifications: Experience in reinforcement learning, fine-tuning LLMs, or training custom models. Knowledge of security best practices for AI applications. Contributions to open-source AI/ML projects or research publications in the field.

Job Summary Director, Collection Platforms and AI As a director, you will be essential to drive customer satisfaction by delivering tangible business results to the customers. You will be working for the Enterprise Data Organization and will be an advocate and problem solver for the customers in your portfolio as part of the Collection Platforms and AI team. You will be using communication and problem-solving skills to support the customer on their automation journey with emerging automation tools to build and deliver end to end automation solutions for them. Team Collection Platforms and AI Enterprise Data Organizations objective is to drive growth across S&P divisions, enhance speed and productivity in our operations, and prepare our data estate for the future, benefiting our customers. Therefore, automation represents a massive opportunity to improve quality and efficiency, to expand into new markets and products, and to create customer and shareholder value. Agentic automation is the next frontier in intelligent process evolution, combining AI agents, orchestration layers, and cloud-native infrastructure to enable autonomous decision-making and task execution. To leverage the advancements in automation tools, its imperative to not only invest in the technologies but also democratize them, build literacy, and empower the work force. The Collection Platforms and AI team's mission is to drive this automation strategy across S&P Global and help create a truly digital workplace. We are responsible for creating, planning, and delivering transformational projects for the company using state of the art technologies and data science methods, developed either in house or in partnership with vendors. We are transforming the way we are collecting the essential intelligence our customers need to do decision with conviction, delivering it faster and at scale while maintaining the highest quality standards. What were looking for ? You will lead the design, development, and scaling of AI-driven agentic pipelines to transform workflows across S&P Global. This role requires a strategic leader who can architect end-to-end automation solutions using agentic frameworks, cloud infrastructure, and orchestration tools while managing senior stakeholders and driving adoption at scale. A visionary technical leader with knowledge of designing agentic pipelines and deploying AI applications in production environments. Understanding of cloud infrastructure (AWS/Azure/GCP), orchestration tools (e.g., Airflow, Kubeflow), and agentic frameworks (e.g., LangChain, AutoGen). Proven ability to translate business workflows into automation solutions, with emphasis on financial/data services use cases. An independent proactive person who is innovative, adaptable, creative, and detailed-oriented with high energy and a positive attitude. Exceptional skills in listening to clients, articulating ideas, and complex information in a clear and concise manner. Proven record of creating and maintaining strong relationships with senior members of client organizations, addressing their needs, and maintaining a high level of client satisfaction. Ability to understand what the right solution is for all type of problems, understanding and identifying the ultimate value of each project. Operationalize this technology across S&P Global, delivering scalable solutions that enhance efficiency, reduce latency, and unlock new capabilities for internal and external clients. Exceptional communication skills with experience presenting to C-level executives Responsibilities Engage with the multiple client areas (external and internal) and truly understand their problem and then deliver and support solutions that fit their needs. Understand the existing S&P Global product to leverage existing products as necessary to deliver a seamless end to end solution to the client. Evangelize agentic capabilities through workshops, demos, and executive briefings. Educate and spread awareness within the external client-base about automation capabilities to increase usage and idea generation. Increase automation adoption by focusing on distinct users and distinct processes. Deliver exceptional communication to multiple layers of management for the client. Provide automation training, coaching, and assistance specific to a users role. Demonstrate strong working knowledge of automation features to meet evolving client needs. Extensive knowledge and literacy of the suite of products and services offered through ongoing enhancements, and new offerings and how they fulfill customer needs. Establish monitoring frameworks for agent performance, drift detection, and self-healing mechanisms. Develop governance models for ethical AI agent deployment and compliance. Preferred Qualification 12+ years work experience with 5+ years in the Automation/AI space Knowledge of: Cloud platforms (AWS SageMaker, Azure ML; etc) Orchestration tools (Prefect, Airflow; etc) Agentic toolkits (LangChain, LlamaIndex, AutoGen) Experience in productionizing AI applications. Strong programming skills in python and common AI frameworks Experience with multi-modal LLMs and integrating vision and text for autonomous agents. Excellent written and oral communication in English Excellent presentation skills with a high degree of comfort speaking with senior executives, IT Management, and developers. Hands-on ability to build quick prototype/visuals to assist with high level product concepts and capabilities. Experience in deployment and management of applications utilizing cloud-based infrastructure. A desire to work in a fast-paced and challenging work environment Ability to work in a cross functional, multi geographic teams

Role: AI/ML Engineer Has 4+ years of work experience , with at least 2+ years directly working on Generative AI and Agentic systems Knows how to use Large Language Models (LLMs) like GPT for real applications (not just research or theory) Has worked on multi-agent systems or autonomous AI agents using tools like CrewAI, AutoGen, or similar frameworks Can write smart prompts ( prompt engineering ), build apps with LLMs, and knows how to do RAG (Retrieval-Augmented Generation) Has done fine-tuning of models and built custom AI workflows Codes well in Python Has used ML frameworks like TensorFlow or PyTorch Familiar with tools like LangChain , and cloud/data platforms like AWS or Databricks Location: Bangalore/ Mumbai Shift Timing: 12:00 PM 9:00 PM Notice Period: 30 days or less Call Anumeha @ +91 6376649769/ Alfiya @ +91 8787064649