Lead AI Engineer

Robson Bale is seeking a Lead AI Engineer to define and own the technical vision and architecture for AI solutions across the organization. This role involves strategic leadership in AI technologies, technical expertise in production-ready AI solutions, and cross-functional collaboration to ensure compliance and best practices.

Responsibilities:

• Define and own the technical vision and architecture for AI solutions across the organization
• Evaluate, select, and standardize AI technologies, frameworks, and third-party services
• Lead technical design reviews and make critical architectural decisions for complex AI initiatives
• Drive technical strategy for responsible AI, model governance, and production ML operations
• Partner with senior leadership (CTO, VPs, Directors) to translate business objectives into technical AI roadmaps
• Influence product and engineering strategy through technical insights and feasibility assessments
• Act as the go-to technical expert for complex AI challenges across engineering teams
• Lead proof-of-concepts for emerging AI technologies and assess their production viability
• Build and deliver production-ready AI and Generative AI solutions using LLMs, RAG architectures, agents, and responsible AI practices
• Implement and maintain retrieval pipelines using embeddings, vector databases, hybrid search methods, and effective chunking strategies
• Use AI coding assistants such as Cursor, GitHub Copilot, and Claude Code to accelerate development while maintaining ownership of outcomes and documenting best practices
• Establish and enforce engineering best practices, coding standards, and quality benchmarks for AI development
• Improve internal AI development tooling, including shared libraries, SDKs, and reference implementations for RAG, tracing, prompt management, and evaluation
• Mentor engineers across all levels, conduct code reviews, and elevate engineering standards across the organization
• Lead internal enablement and capability-building activities across the organization
• Collaborate closely with Product using a working-backwards approach, producing technical designs, breaking down work, and delivering iteratively
• Partner with Security, Legal, and Data teams to define AI policies, review risks, and ensure privacy, PII protection, and regulatory compliance