24 days ago

AI ML Engineer

Accenture in India

On Site
Full Time
₹0
Bengaluru, Karnataka, India
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Job Overview

Job TitleAI ML Engineer
Job TypeFull Time
Offered Salary₹0
LocationBengaluru, Karnataka, India

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Job Description

AI / ML Engineer

Accenture in India is seeking a hands-on AI Native Engineer to design, build, and deploy end-to-end agentic and LLM-powered systems. This role involves constructing RAG pipelines, working with vector databases, building autonomous or semi-autonomous agents, integrating tools and skills, and developing evaluation frameworks for high-quality AI behavior. You will prototype rapidly, experiment with models, and evolve solutions from PoC to production while working closely with cross-functional teams.

Key Responsibilities

Agentic & LLM System Development
  • Build agentic AI systems, including agent orchestration, planning loops, tool calling, and memory modules.
  • Implement LLM toolchains, custom prompts, templates, evaluators, and multi-step reasoning workflows.
  • Develop autonomous/semi-autonomous agents for retrieval, summarization, decision support, or workflow automation.
RAG Pipelines & Vector Intelligence
  • Design and implement RAG pipelines end-to-end: ingestion, chunking, embeddings, indexing, vector search, hybrid retrieval, and grounding.
  • Integrate vector databases such as pgvector, Pinecone, Weaviate, or Milvus.
  • Optimize retrieval quality, latency, and factual accuracy using rerankers, retrieval evaluators, and freshness pipelines.
Model Integration & AI Ops
  • Integrate enterprise-grade AI APIs, foundation models, and transformer models into scalable systems.
  • Implement robust evaluation frameworks including offline and online evals, regression tests, content safety checks, and red-team scenarios.
  • Build monitoring for model drift, agent failure modes, hallucination detection, and end-to-end system health.
Full-Stack & Cloud Alignment
  • Deploy services using Python/Node/Java microservices, serverless functions, or containerized workloads.
  • Integrate event streams, API gateways, and cloud-native patterns across Azure/AWS/GCP.
  • Build CI/CD pipelines for AI services with safe rollouts, versioning, and feature flags for model updates.
Prototyping & Rapid Iteration
  • Rapidly experiment with models, embeddings, architectures, and agentic patterns.
  • Translate business requirements into AI-native technical architectures and communicate trade-offs via demos and deep-dives.
  • Document designs, experiments, and evaluation results for reproducibility and knowledge sharing.

Key skills/competency

  • Machine Learning
  • AI Native Engineer
  • Agentic AI Systems
  • LLM
  • RAG Pipelines
  • Vector Databases
  • Prompt Engineering
  • Cloud AI
  • Python
  • Production Deployment

Tags:

AI Engineer
ML Engineer
Machine Learning
Artificial Intelligence
LLM
Generative AI
RAG
Vector Databases
Python
Cloud AI
Accenture
India

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How to Get Hired at Accenture in India

  • Tailor your resume: Highlight specific AI/ML engineering experience, LLM, RAG, and agentic system development.
  • Showcase Python skills: Emphasize projects involving data pipelines, AI services, and evaluation harnesses.
  • Detail production experience: Include examples of deploying AI systems with monitoring and error handling.
  • Prepare for technical interviews: Be ready to discuss transformer models, prompt engineering, and evaluation frameworks.
  • Understand Accenture's culture: Research their focus on AI and innovation to align your application.

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