Lead AI Engineer

Project overview

This Lead AI Engineer will provide hands-on technical leadership for enterprise Generative AI, agentic AI, data engineering, and AI-enabled engineering solutions. The role covers architecture, development, integration, validation, deployment readiness, and production improvement, with Python, SQL, LLMs, AI agents, RAG, APIs, and enterprise data concepts central to the work. Snowflake and AWS are preferred; the description also calls for scalable solution design, technical direction, code reviews, and mentoring. The stated experience is 8+ years, consistent with the structured 8–10-year range.

The role is a contract position in Bengaluru; the work mode is not specified, and no specific industry or product domain is named.

Responsibilities

• Lead the architecture and development of Generative AI and agentic AI solutions, including enterprise-grade AI/Data Agents.
• Design AI solutions that integrate LLMs, enterprise data platforms, semantic/metadata layers, APIs, and business applications.
• Define reusable patterns and frameworks for scalable, maintainable, and production-ready AI solutions.
• Lead technical design and code reviews and ensure adherence to engineering, security, performance, and quality standards.
• Mentor AI and data engineers and provide technical guidance for complex implementation and integration challenges.
• Collaborate with architects, data engineers, application engineers, product teams, and business stakeholders to translate requirements into robust technical solutions.
• Drive solution validation, troubleshooting, deployment readiness, and continuous improvement of AI capabilities.
• Experience developing AI agents, LLM-powered applications, RAG/grounding solutions, APIs, and data-driven AI applications.
• Strong understanding of data engineering, data modeling, semantic/metadata concepts, and enterprise data platforms.
• Experience with Snowflake and cloud platforms such as AWS is preferred.
• Experience designing scalable enterprise solutions and integrating AI capabilities with existing applications and data ecosystems.
• Strong technical leadership, problem-solving, communication, and stakeholder-management skills.

Requirements

• Hands-on Python engineering
• SQL
• Generative AI and LLMs
• Agentic AI architectures and AI agent development
• LLM-powered applications, RAG, and grounding
• Data engineering, data modeling, and enterprise data platforms
• Semantic layers and metadata concepts
• API development and integration with applications and data ecosystems
• Scalable enterprise AI solution design and production readiness
• Technical leadership, code reviews, and mentoring

Project details

• Start: flexible
• Remote: hybrid
• Location: India, IN