Accenture

Accenture

Posted via Workday

AI / ML Engineer

Posted Sep 21, 2026

Role at a glance

Job function
AI & Data Machine Learning Engineering
Salary
Not Disclosed
Location
Bengaluru
Work arrangement
On-site
Employment
Full-time
Experience
Minimum 18 year(s) of experience is required
Education
Ph.D. in Computer Science, Electrical Engineering, Electronics, Electronics and Communication, Data Science/AI, Mathematics and...

Spotted an issue?

We’ll check it against the original posting.

Log in to report

Role Summary

AI-generated

The AI Research and Innovation Lead will spearhead research and innovation in Agentic AI, developing autonomous, goal-driven systems capable of reasoning, planning, and interacting in complex environments. The role combines research, prototyping, scalable system integration, client solutioning, and development of AI talent.

What You'll Do

  • Lead R&D in agentic architectures and autonomous agents, including planning, memory, tool use, self-reflection, human-agent...
  • Design and prototype autonomous agents for applications such as enterprise automation, digital assistants, and healthcare autonomous agents.
  • Collaborate with solutioning, delivery, engineering, Responsible AI, consulting, academia, and industry partners to integrate agentic...
  • Publish and present research findings in top AI venues.
  • Mentor researchers and engineers and foster a culture of continuous learning across the practice and organization.
  • Support client engagements through consulting and solutioning for complex client problems using advanced AI frameworks and accelerators.

Generated from the employer's posting. Verify important details before applying.

View full posting

Qualifications

Computer Vision; deep expertise in reinforcement learning, autonomous agents, and multi-agent systems; strong understanding of LLMs and their integration into agentic workflows; experience with frameworks like LangChain, AutoGPT, or similar; proven track record of innovation and publications; overall experience 15-18 years and relevant experience (post PhD) 5+ years.

Required

  • Computer Vision
  • Ph.D. in Computer Science, Electrical Engineering, Electronics, Electronics and Communication, Data Science/AI, Mathematics and Statistics
  • Deep expertise in reinforcement learning, autonomous agents, and multi-agent systems
  • Strong understanding of LLMs and their integration into agentic workflows
  • Experience with frameworks like LangChain, AutoGPT, or similar
  • Proven track record of innovation and publications
  • Overall experience 15-18 years and relevant experience (post PhD) 5+ years

Original job description

Content provided by the employer

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 : Computer Vision
Good to have skills : NA
Minimum 18 year(s) of experience is required
Educational Qualification : Ph.D. in Computer Science, Electrical Engineering, Electronics, Electronics and Communication, Data Science/AI, Mathematics and Statistics from premium institutes like IITs, IISc, IIITs and ISIs

Role Overview:
We are seeking a visionary AI Research and Innovation Lead to spearhead our efforts in Agentic AI—developing autonomous, goal-driven AI systems capable of reasoning, planning, and interacting in complex environments. This role is ideal for a thought leader passionate about pushing the boundaries of intelligent agents.

Key Responsibilities:
Lead R&D in agentic architectures, autonomous agents, including planning, memory, tool use, and self-reflection, human agent collaboration, model/agent drift detection.
Design and prototype autonomous agents for real-world applications (e.g., enterprise automation, digital assistants, healthcare autonomous agents).
Collaborate with solutioning, delivery and engineering teams to integrate agentic capabilities into scalable systems across various industries, collaborate with Responsible AI team to ensure the polices are baked in the solutions, consulting team to provide technical depth in AI, academia and industry partners for pushing the research boundaries.
Publish and present novel and innovative research findings in top AI venues.
Develop a larger AI talent and foster a culture of continuous learning across practice and organization. Mentor a team of researchers and engineers.
Support client engagements by providing consulting and solutioning for complex client problems by bringing in niche AI skills and utilizing advanced internal and external frameworks and accelerators.

Required Skills:
A Ph.D. in Computer Science, Electrical Engineering, Electronics, Electronics and Communication, Data Science/AI, Mathematics and Statistics from premium institutes – IITs, IISc, IIIT and ISI
Overall experience 15-18 years and Relevant experience (post PhD) 5+ years.
Deep expertise in reinforcement learning, autonomous agents, and multi-agent systems.
Strong understanding of LLMs and their integration into agentic workflows.
Experience with frameworks like LangChain, AutoGPT, or similar.
Proven track record of innovation and publications.

Ph.D. in Computer Science, Electrical Engineering, Electronics, Electronics and Communication, Data Science/AI, Mathematics and Statistics from premium institutes like IITs, IISc, IIITs and ISIs

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.

Accenture

About the company

Accenture

Large Enterprise

Accenture is a global professional services company that specializes in providing consulting, technology, and outsourcing services. With a diverse range of industries served, including financial services, healthcare, and telecommunications, Accenture leverages advanced technologies and data analytics to help organizations improve their performance and drive innovation. Committed to sustainable progress, the company emphasizes its dedication to inclusivity, digital transformation, and building a more sustainable future for its clients and communities. With a presence in over 120 countries, Accenture is known for its expertise in integrating cutting-edge solutions that address complex business challenges.