Lead AI Engineer

• We are seeking a high-caliber, initiative-driven Senior AI professional to lead and accelerate AI initiatives across our Business Unit
• This role demands a highly versatile individual who can ideate, architect, prototype, and deliver AI solutions and IPs while working hands-on with cross-functional teams
• The ideal candidate is a self-starter who thrives in dynamic environments, communicates exceptionally well, and can translate business vision into scalable AI outcomes

Experience Requirements

• 7 years to 15 years overall experience in technology, with 5+ years in AI/ML, GenAI, or Data Science
• Proven experience in designing, building, and deploying AI solutions/POCs/products
• Strong background in architecting enterprise-grade AI workflows and pipelines
• Demonstrated leadership in cross-functional collaboration and stakeholder engagement
• Excellent verbal and written communication skills, especially when simplifying complex AI topics

Key Responsibilities

• Drive the AI strategy and roadmap for the Business Unit end-to-end
• Identify impactful AI/automation opportunities and propose scalable, value-led solutions
• Lead POC development, prototype creation, and conversion into production-ready solutions
• Build AI/IP accelerators, reusable components, and frameworks for rapid delivery
• Architect and implement LLM-based, GenAI, and ML-driven solutions across use cases
• Collaborate with delivery teams, architects, QA, DevOps, and Data Engineering to execute AI projects
• Work hands-on on model development, pipelines, orchestration layers, and workflow automation
• Drive adoption of AI best practices, standards, and governance across the BU
• Present solutions, demos, and business value assessments to senior stakeholders and clients
• Ensure clear documentation, transparency, and traceability of all AI initiatives
• Mentor and guide junior AI engineers, promoting internal capability building
• Act as a trusted advisor on AI feasibility, risk, and design decisions

Preferred Technical Skillset

• Strong hands-on expertise with LLMs, RAG, embeddings, prompt engineering, and multi-agent frameworks
• Proficiency in Python, vector databases, Lang Chain/Llama Index, and model tuning/evaluation
• Experience with Azure OpenAI / AWS Sagemaker / Google Vertex AI and cloud-native deployments
• Solid understanding of MLOps, CI/CD pipelines, model monitoring, and versioning workflows
• Strong grounding in API development, microservices, security practices, and data engineering basics.