AI / ML Lead Engineer

Role Summary

This role leads the technical execution of AI delivery while remaining deeply hands-on.

The lead ensures the team builds solutions that are scalable, secure, and production-ready.

Business Challenge This Role Solves

• Accelerates delivery on a greenfield AI program
• Reduces technical risk and rework
• Aligns business needs with technical execution

Core Responsibilities

• Design end-to-end AI solutions from requirements to production
• Mentor and guide AI/ML engineers on best practices
• Break business problems into executable technical work
• Review architecture, code, and deployment approaches
• Partner closely with business stakeholders and program leadership
• Ensure AI solutions meet security, compliance, and reliability standards

Required Technical Experience

• 7 to 10 years of software engineering experience
• Proven delivery of AI solutions into production environments
• Experience leading or mentoring engineers
• Strong background in cloud, APIs, and enterprise systems
• Comfortable working directly with business partners

Top Skills

• End-to-end AI solution architecture
• Technical leadership and mentorship
• Production deployment
• Communication and collaboration

Additional Technical Skills

• Sprint planning and estimation
• Risk assessment and mitigation
• Documentation and standards definition
• Stakeholder management

Top Skills Details

• End-to-End AI Solution Design: Designing AI solutions from business requirements, Defining architecture, patterns, and standards, Evaluating tradeoffs between speed, risk, and scale
• Deep Production Experience: Proven experience deploying AI into enterprise environments, Understanding operational risks and mitigations, Knowing what breaks in production and why
• Technical Leadership and Mentorship: Guiding engineers on architecture and implementation, Reviewing designs and code, Helping engineers ramp up on deployment practices
• Business Communication: Translating business problems into technical plans, Explaining AI behavior to nontechnical stakeholders, Aligning delivery with business priorities
• Experience deploying production ready solutions in financial services or similar highly regulated industry

Interview Information

• Hiring manager screen
• Technical interview (hands-on or scenario-based), Deep technical panel with engineers
• Optional coding round if needed

Focus is on:

• Real-world problem solving
• Production experience
• Ability to explain AI decisions clearly

Business Challenge

Ensures AI solutions are scalable, reliable, and aligned to business priorities. Accelerates adoption while reducing risk and rework.