AI Software Engineer - Senior,Lead,Principal

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
  

Required Experience & Qualifications

• 5+ years of experience, including demonstrated technical leadership of engineering initiatives
  
• Bachelor's degree in Computer Science, AI/ML, or a related field; Master's preferred
  
• Track record of owning architecture for at least one complex, multi-component AI system
  
• Experience partnering with security/compliance functions on production AI systems