Architect and lead implementation of AI-powered features within Product & Technology applications.
Provide hands-on technical leadership in system design, model integration strategies, prompt engineering, retrieval-augmented generation (RAG), and AI orchestration patterns.
Evaluate and guide selection of AI tools, services, and platforms based on performance, scalability, cost, compliance, and long-term maintainability.
Establish governance standards for responsible AI usage.
Partner with Product Management to convert AI use cases into executable technical plans.
Lead the implementation of AI assistants and automation across engineering workflows.
Define operational guardrails and usage standards.
Track and report measurable improvements.
Lead multiple agile engineering teams with clear accountability for roadmap execution.
Contribute to budgeting discussions, vendor evaluations, and cost optimization strategies.

Requirements

Bachelor’s Degree in Engineering, Computer Science, Data Science, Information Technology, or related field or equivalent experience.
10+ years of progressive software engineering experience, including 5+ years in engineering leadership roles.
Demonstrated hands-on experience integrating AI/ML or LLM capabilities into production applications.
Experience leading agile teams with accountability for delivery predictability and operational performance.
Strong architectural background in distributed systems, SaaS platforms, APIs, and cloud-native environments.
Experience implementing AI assistants or automation tools to improve engineering productivity.
Proven track record managing multi-team delivery in complex, cross-functional environments.

Benefits

Health coverage
Paid holidays
Variable bonus

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

AI-powered featuressystem designmodel integration strategiesprompt engineeringretrieval-augmented generationAI orchestration patternsAI/ML integrationdistributed systemsSaaS platformscloud-native environments

Soft Skills

technical leadershipaccountabilitycollaborationcommunicationbudgetingvendor evaluationcost optimizationagile leadershipoperational performancedelivery predictability