AI Engineering Leader
Abacus Insights
full-time
Posted on:
Location Type: Remote
Location: United States
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Job Level
Tech Stack
About the role
- 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
Requirements
- 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.
Benefits
- Unlimited paid time off – recharge when you need it
- Work from anywhere – flexibility to fit your life
- Comprehensive health coverage – multiple plan options to choose from
- Equity for every employee – share in our success
- Growth-focused environment – your development matters here
- Home office setup allowance – one-time support to get you started
- Monthly cell phone allowance – stay connected with ease
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
AI systemsML engineeringdata engineeringarchitecturemodel developmentlifecycle managementSQLRAG architecturesMCPbest practices
Soft Skills
analytical skillsproblem-solvingmentoringcoachingtechnical guidancecommunicationleadershipcollaborationexecution planninginnovation