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AI / ML Engineer

Bengaluru

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What you’ll work on

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  • Design autonomous decision-making systems using LLMs, memory and tool use

  • Develop collaborative multi-agent frameworks with LangChain, AutoGen, CrewAI

  • Embed agentic capabilities into enterprise applications and services

  • Monitor agent performance on success rate, latency, adaptability and cost

  • Apply responsible AI practices: observability, compliance and guardrails

From the employer’s posting
Design and implement autonomous decision-making systems using LLMs, memory modules, and tool-use frameworks.
Develop and optimize collaborative agentic frameworks using LangChain, AutoGen, CrewAI, and Semantic Kernel.
Collaborate with cross-functional teams to embed agentic capabilities into enterprise applications and services.
Monitor agent performance using metrics such as task success rate, latency, adaptability, and cost-efficiency.
Ensure responsible AI practices, including observability, compliance, and ethical guardrails.

Tools in this posting

  • Python
  • Docker
  • Huggingface
Source — Tool mentions in context
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.

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.

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Status in our records
Live
First seen by us
Jun 19, 2026 · 121d ago
Recorded sightings
5
Last seen by us
Oct 17, 2026

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Job description

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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. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.

Visit us at www.accenture.com 

Equal Employment Opportunity Statement


We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.

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