Technology & Transformation – AI/ML – Generative AI Engineer – Consultant / Senior Consultant (5–10 Years)

Your potential, unleashed.

India’s influence on the global economy is growing exponentially, and Deloitte offers you the opportunity to work with cutting-edge technologies and global clients shaping the future of AI.

At Deloitte, bring your whole self to work every day. Combine that with our purpose-driven culture, and you get the ideal environment to engineer, innovate, and deliver high-impact AI solutions at scale.

The Team

Deloitte’s Technology & Transformation practice helps organizations unlock value from data and advanced AI systems.

We specialize in designing and deploying production-grade AI/ML and Generative AI systems, enabling enterprises to operationalize AI for real-world impact.

Our focus areas include:

• Generative AI & LLM Engineering
• Scalable AI Systems & MLOps
• Data Engineering & Pipelines
• AI Platform Architecture
• Advanced Analytics & Decision Intelligence

Your Work Profile

As a Generative AI Engineer (Consultant / Senior Consultant), you will design, build, and deploy scalable GenAI systems and work hands-on across the entire AI lifecycle—from experimentation to production.

Key Expectations

• Experience: 5–10 years in AI/ML engineering
• Location: Pan India (Hybrid / On-site based on project needs)
• Strong focus on hands-on development (70–80% coding)
• Deep expertise in LLMs, RAG pipelines, and AI system design
• Experience in productionizing AI systems at scale

Core Responsibilities

• Design and implement end-to-end Generative AI systems using LLMs
• Build and optimize Retrieval-Augmented Generation (RAG) pipelines (chunking, embeddings, indexing, retrieval tuning)
• Develop LLM-powered applications and APIs using frameworks such as LangChain, LlamaIndex, or similar
• Implement advanced prompt engineering and prompt optimization strategies
• Build and manage vector databases (FAISS, Pinecone, Weaviate, etc.)
• Develop AI agents and tool-augmented systems for task automation
• Integrate external tools/APIs, OCR pipelines, and document processing workflows
• Implement evaluation frameworks (e.g., RAGAS, human-in-the-loop evaluation, benchmarking)
• Optimize systems for latency, cost, scalability, and reliability
• Deploy AI solutions using cloud platforms (AWS, Azure, GCP) with CI/CD and MLOps practices
• Ensure security, governance, and responsible AI practices

Required Expertise

• Strong hands-on experience with Python and AI/ML frameworks
• Proven experience building production-grade GenAI applications
• Deep understanding of:
  • Transformer architectures & LLMs
  • RAG architectures and retrieval strategies
  • Embeddings and semantic search
  • Prompt engineering and fine-tuning techniques
• Experience with:
  • Vector databases (FAISS, Pinecone, Weaviate)
  • LLM frameworks (LangChain, LlamaIndex, Semantic Kernel, etc.)
  • Open-source and commercial LLMs
• Strong knowledge of:
  • API development and microservices
  • Docker, Kubernetes, and cloud-native architectures
  • CI/CD pipelines and MLOps tools
• Experience in performance optimization and system scaling

Good to Have

• Experience with multi-agent systems / agentic AI frameworks
• Knowledge of fine-tuning (LoRA, PEFT) and model optimization
• Exposure to multimodal AI (vision + text)
• Experience with real-time AI applications and streaming pipelines
• Contributions to open-source or GitHub AI projects

Education

• BE / B.Tech / M.Tech in Computer Science, AI, Data Science, or related field

Expectations for Deloitte Professionals

We expect our people to embrace and live our purpose by delivering meaningful impact.

Professionals in this role should demonstrate:

• Strong technical ownership and engineering excellence
• Ability to solve complex AI system design problems
• High-quality code standards and review practices
• Collaboration in cross-functional engineering teams
• Clear and effective technical communication
• Continuous learning and adoption of emerging AI technologies

How You’ll Grow

Connect for Impact

Work on globally relevant AI problems and collaborate with diverse teams solving complex engineering challenges.

Empower to Lead

Take ownership of technical decisions and drive innovation in AI engineering practices.

Inclusion for All

Be part of an inclusive culture that values diverse ideas and technical perspectives.

Drive Your Career

Access continuous learning, certifications, and opportunities across domains and geographies.

Everyone’s Welcome

Our initiatives support flexibility, well-being, and a culture of inclusion—enabling you to thrive both professionally and personally.

Interview Tips

Prepare by strengthening your understanding of:

• LLM architectures and trade-offs
• RAG system design
• Real-world GenAI system deployment
• Coding and system design fundamentals