Job Title: AI Engineering Manager

Company Name: iOPEX Technologies

Job Url: https://boards.greenhouse.io/embed/job_app?token=8215772002&utm_source=jobright&jr_id=68f2a1b99a65fd345857e590

Job Description: About the Role

Do you thrive at the intersection of deep technical problem-solving and leadership? As an AI Engineering Manager, you will help set technical direction for AI/ML solutions that solve high-impact customer and internal problems, from discovery through production. You’ll partner closely with Engineering, Product, and customer-facing teams to translate complex business needs into scalable, secure, and reliable AI capabilities. In this role, you’ll lead by example—driving design and engineering excellence, mentoring engineers across levels, and raising the bar on how we build, deploy, and operate AI systems in production.

Your day to day

Lead architecture, design, and implementation of AI/ML systems from concept to production
Define technical standards, best practices, and AI engineering patterns across teams
Translate complex business problems into scalable AI solutions
Guide model development, evaluation, deployment, and lifecycle management
Partner with Product and Engineering leaders on AI strategy and roadmap
Mentor senior and junior engineers; raise overall technical maturity
Ensure responsible AI practices, security, privacy, and compliance
Evaluate emerging technologies and drive innovation initiatives
What you bring to the team

8-10 years of experience in data engineering and architecture roles, with 2+ years in an engineering leadership role.
Strong experience leading ML/AI engineering efforts from concept through production in fast‑moving organizations.
Exposure to Databricks, Mosaic AI Gateway, and related Data + AI technologies.
Working knowledge of RAG architectures, SQL Agents, and MCP.
Strong analytical and problem‑solving skills, with the ability to translate complex problems into clear execution plans.
Proven ability to mentor and coach less‑experienced engineers, providing technical guidance, feedback, and growth support across complex AI initiatives.
Acts as a technical mentor across teams, elevating engineering quality by developing junior engineers and modeling best practices in AI system design and delivery.