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 : NA

Minimum 5 year(s) of experience is required

Educational Qualification : 15 years full time education

Role Overview

Forward Deployed AI Engineers form the execution spine of our Reinvention Deployment Engineering pods. We are building the largest FDE capability in the services industry. The engineers who join at this stage will define what the role looks like at scale and will have access to the hardest enterprise AI problems in the market across every industry.

Roles & Responsibilities:

Embed directly with client engineering and business teams to deploy, scale, and operationalize AI platforms — Anthropic, OpenAI, Microsoft, Google, Salesforce, SAP, or Palantir — inside enterprise environments

Own production outcomes end-to-end: time-to-value, reliability, adoption velocity, and scalability, with business metrics attached — not just delivery milestones

Move from ambiguous business problem to working production system through rapid experimentation: days to prototype, weeks to production-ready

Design and govern AI architectures across the full enterprise stack: identity, data, security, governance, platform layer, and workflow integration

Translate technical architecture into business impact for client CTO, CFO, and CISO shape use case roadmaps, ROI backlogs, and AI adoption strategy

Build reusable patterns, playbooks, and accelerators that the client owns after you leave — enabling the client team to run it without you

Lead design workshops, proofs of concept, architecture walkthroughs, and code-with sessions with client engineering and leadership teams





Codify patterns and delivery learnings that scale across engagements and contribute to the growth of the FDE practice.

Qualified & Technical Skills:

Engineering experience with cloud-native systems (APIs, microservices, containerization, serverless).

Deep expertise in designing and deploying agentic solutions (agents, orchestration, context engineering, RAG, workflows) in production environments.

Experience with AI platforms — OpenAI, Claude, Vertex AI, plus open-source models — including building abstraction layers to manage multi-provider pipelines.

Experience deploying to production , CI/CD, infrastructure as code (Terraform, Helm), monitoring, and debugging.

Demonstrated end-to-end delivery ownership in a client-embedded environment, internal projects, vendor labs, or team-only deployments do not qualify

Proven ability to articulate business value: can quantify the impact of deployments in terms a CFO would recognize and act on

Experience presenting to and building trust with senior client stakeholders, CTO, CFO, or CISO level

Non-linear profiles are expected and welcomed, assessment is based on demonstrated deployment experience and outcome ownership, not CV pattern matching.

Additional Information

The candidate should have minimum 5 years of experience in AI Agents & Workflow Integration.3-5 years engineering experience with cloud-native systems (APIs, microservices, containerization, serverless).

All AI Native Engineer foundations confirmed, non-negotiable baseline

Full platform deployment ownership in at least one certified platform in a live client environment

Multi-system integration: connects AI platform to ERP, CRM, ITSM, and data systems in production

Enterprise architecture foundations: identity, data, security, and governance layers,



not just application layer

Runs deployment cycles independently, from kickoff to production with client handover

This position is based at our Bengaluru office.

A 15 years full time education is required.

15 years full time educationAbout 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.

📌 AI / ML Engineer (Bengaluru)
🏢 Accenture
📍 Bengaluru