Lead AI Software Engineer

As a Lead AI Software Engineer, you'll provide technical leadership for a workstream building complex, multi-agent AI systems — owning the architecture, setting the technical bar, and acting as the bridge between engineering, product, security, and compliance.

Key Responsibilities

• Provide technical leadership for a team/workstream building multi-agent and multi-model AI systems
  

• Own architecture decisions and lead design reviews (Architecture Decision Records) for key AI initiatives
  

• Architect scalable, full-stack AI solutions spanning data engineering, model training/fine-tuning, and LLMOps
  

• Drive cost and performance optimization for AI systems running at enterprise scale
  

• Partner cross-functionally with Product, Data Science, Security, and Compliance to shape solution design
  

• Evaluate and select AI tools, frameworks, and vendors for the team
  

• Mentor and upskill engineers, fostering technical growth within the team
  

• Balance hands-on technical contribution with team-level planning and delivery accountability
  

Skills & Key Competencies

Must-Have Technical Skills

• Technical leadership of AI engineering workstreams or a small team
  

• Architecting complex multi-agent/multi-model AI systems at scale
  

• Full-stack AI expertise: data engineering, model training/fine-tuning, LLMOps, infrastructure
  

• Owns architecture decisions and design reviews (ADRs)
  

• Cross-functional partnership with Product, Data Science, Security, and Compliance
  

• Cost and performance optimization of AI systems in production
  

• Mentors and upskills engineers
  

Good-to-Have Technical Skills

• Experience building/owning internal AI platforms or agent frameworks
  

• Vendor and AI tool evaluation/selection
  

• Contribution to AI governance and compliance frameworks (GDPR, SOC 2, HIPAA-aware design)
  

• Experience in regulated or highly audited environments
  

Key Competencies

• Balances big-picture architectural thinking with a willingness to get into the weeds
  

• Decisive under ambiguity — can make an 80%-confidence call and move the team forward
  

• Strong stakeholder management across technical and non-technical audiences
  

• Builds trust quickly with both engineers and cross-functional partners
  

• Invests genuinely in growing people, not just shipping features
  

• Holds a high technical bar without being a bottleneck