Key Responsibilities:

• Serve as the technical authority on all AI/ML and GenAI solutions across business lines
• Define and enforce AI security, ethical AI principles, and model governance guidelines in line with global standards
• Design and review architectures for GenAI, LLM integrations, and autonomous agent systems
• Develop reusable frameworks for MLOps, data pipelines, vector store integrations, and RAG-based systems
• Identify and integrate state-of-the-art AI capabilities, tools, and libraries through continuous research and experimentation
• Lead cross-functional technical reviews, influence design across product and engineering teams
• Mentor Lead and Senior Engineers on advanced system design, experimentation, and production deployment
• Represent AI Engineering in enterprise architectural councils or tech steering groups
• Build thought leadership through white papers, tech talks, and participation in AI communities

Qualifications:

• Master’s or PhD in AI/ML, Computer Science, or related quantitative field
• 8+ years of experience in advanced AI/ML solutioning, including system-level design
• Proven track record of leading large-scale, production-grade AI initiatives
• Deep expertise in GenAI: OpenAI/Anthropic APIs, model customization, LangChain, vector DBs, orchestration frameworks
• Advanced knowledge of cloud AI stacks (Azure preferred), data engineering, containerization, and MLOps workflows
• Strong understanding of security, privacy, explainability, and compliance in AI/ML solutions

Preferred Qualifications:

• Experience in defining enterprise-wide AI/ML standards and frameworks
• Participation in AI patent filings, publications, or open-source contributions
• Ability to influence non-technical leaders and translate technical depth into strategic direction