AI / ML Engineer

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : AI Agents & Workflow Integration Good to have skills : Generative AI Minimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary: We are seeking a highly skilled and forward-thinking Agentic AI Specialist to lead the design, development, and deployment of autonomous AI agents and workflows. This role is ideal for professionals with a strong foundation in Generative AI and hands-on experience in Agentic AI systems, including multi-agent orchestration, autonomous task execution, and goal-driven workflows Roles & Responsibilities: Architect Agentic AI Workflows: Design and implement autonomous decision-making systems using LLMs, memory modules, and tool-use frameworks. Multi-Agent Systems: Develop and optimize collaborative agentic frameworks using LangChain, AutoGen, CrewAI, and Semantic Kernel. Copilot Studio Integration: Apply at least 1 year of practical experience integrating agentic workflows using Microsoft Copilot Studio. Enterprise Integration: Collaborate with cross-functional teams to embed agentic capabilities into enterprise applications and services. Performance Evaluation: Monitor agent performance using metrics such as task success rate, latency, adaptability, and cost-efficiency. AI Safety & Governance: Ensure responsible AI practices, including observability, compliance, and ethical guardrails. Professional & Technical Skills: Generative AI Expertise: 4+ years of hands-on experience with GenAI technologies (GPT, Claude, LLaMA, etc.). Agentic AI Development: 1+ year of experience building or managing agentic workflows using frameworks like AutoGPT, LangGraph, CrewAI. Programming & Frameworks: Proficiency in Python and experience with LangChain, Hugging Face, OpenAI APIs, and cloud-native patterns (Docker, REST APIs). LLM & Prompt Engineering: Strong understanding of prompt engineering, embeddings, and context management. Additional Information: - The candidate should have minimum 7.5 years of experience in AI Agents & Workflow Integration. - This position is based at our Bengaluru office. - A 15 years full time education is required. 15 years full time education About Accenture Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries.