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