AI​/ML Enablement Lead Engineer

Responsibilities

• Serve as the primary liaison between business teams and the AI platform team
• Embed within a business line to drive delivery of AI use cases
• Translate business needs into technical requirements and solution designs
• Guide implementation of AI solutions leveraging LLMs, RAG, and related technologies
• Provide hands‑on technical guidance across architecture, tooling, and platform capabilities
• Unblock and accelerate AI initiatives by resolving access, tooling, and process challenges
• Partner with engineering teams to ensure scalable, secure, and compliant implementations
• Communicate priorities, timelines, and constraints across stakeholders
• Drive adoption of enterprise AI platforms and best practices
• Contribute to standardization and scaling of AI solutions across the organization

• 6+ years of experience in software engineering, AI/ML engineering, or solution engineering
• Hands‑on experience with Generative AI technologies, including LLMs and RAG
• Strong proficiency in Python and API-based or microservices architecture
• Experience with cloud platforms (Azure and/or AWS)
• Familiarity with Kubernetes and modern engineering environments
• Ability to design and guide implementation of AI solutions in enterprise systems
• Strong communication skills with experience working cross-functionally with business stakeholders
• Proven ability to troubleshoot issues, remove blockers, and accelerate delivery

• Python
• API
• microservices architecture
• Generative AI
• LLMs
• RAG
• cloud platforms
• Azure
• AWS
• Kubernetes

• communication
• cross-functional collaboration
• troubleshooting
• problem-solving
• stakeholder management
• guidance
• delivery acceleration
• prioritization
• timelines management
• standardization