Gen AI-Lead AI and Data Science Engineer II

Deloitte Consulting seeks a Gen AI-Lead AI and Data Science Engineer II to lead technical delivery of enterprise-scale AI and software solutions. The role works with clients and cross-functional, global teams on projects from requirements and planning through implementation and production deployment. The listed locations are Bengaluru, Hyderabad, Pune and Chennai, India.

Responsibilities

• Understand client business problems and functional requirements; recommend solution architectures and implementation approaches, and direct design and development against project plans.
• Lead documentation to standards and best practices, coordinate teams, identify and escalate risks, prepare status reports, and mentor junior colleagues.
• Lead Data Engineers, ML/AI Engineers, Prompt Engineers and other professionals; build and improve AI and generative AI models, identify opportunities for improvement, and deliver projects across industries.
• Support pre-sales, client pursuits and proposals with technical input, estimates and planning. Contribute to an inclusive team culture.
• The AI & Data team designs and operates data and AI platforms and helps clients modernize data ecosystems, integrate structured and unstructured data, and apply AI/ML and analytics to generate insights and improve operations.

Required qualifications

• 10–15 years of relevant experience in Generative AI, Deep Learning or NLP; experience leading teams of 10+ on multiple end-to-end AI and GenAI projects, including large-scale, production-grade deployments.
• Strong Python, CUDA and SQL skills and hands-on experience with TensorFlow, PyTorch and Keras. Experience with GPT-3.5/4, Gemini, AWS Bedrock, LLaMA 3.0 or Mistral, plus RAG and agentic workflows.
• Understanding of GANs and Transformer architecture; knowledge of diffusion models, hyperscaler offerings, GenAI tools, vector databases and Neo4j or other graph databases. Strong communication and client/stakeholder management skills.
• BE, B.Tech, MCA, M.Sc in Computer Science or equivalent degree from an accredited university.

Preferred

Ability to follow research papers and present approaches to GenAI components; familiarity with Docker and Git; AI or cloud certification from a premier institute.