AI Engineering Manager (Core AI Platform)
Leads a team of senior AI engineers building and maintaining Front's core AI platform, including LLM integrations, RAG pipelines, and evaluation systems. Guides strategic AI investments, architectural decisions, and cross-team collaboration to enable reliable AI-powered product features.
About the job
Responsibilities
- Own the technical roadmap for Front's AI platform, guiding strategic investments in AI by evaluating emerging techniques, making build-vs-buy decisions, and partnering with product and engineering leadership to prioritize the highest-leverage capabilities.
- Drive architectural decisions on AI infrastructure - LLM orchestration, RAG systems, model evaluation, prompt management - ensuring reliability, scalability, and developer ergonomics.
- Manage and grow a team of senior engineers, providing mentorship and career development while maintaining a high talent bar.
- Define and improve the interfaces between the AI platform and product feature teams, enabling autonomous and efficient execution across the organization.
- Contribute to engineering-wide initiatives as a member of Front's engineering management team.
Requirements
Must have:
- Deep technical fluency in AI/ML systems, particularly LLM-based applications, with the ability to evaluate trade-offs and guide architectural decisions alongside senior engineers.
- Track record of managing and scaling a team of senior/staff engineers through ambiguous, fast-moving problem spaces.
- Proven ability to guide strategic AI investments - evaluating emerging techniques, making build-vs-buy decisions, and directing team effort toward the highest-impact bets in a rapidly evolving space.
Should have:
- Strong cross-functional partnership skills to align AI platform capabilities with product needs across multiple teams.
- Ability to attract, develop, and retain top AI engineering talent in a competitive market.
- Experience building and operating AI/ML infrastructure or platform services in production at scale.
Nice to have:
- Founded or built a new team/function/capability from early stages.
- Experience at a B2B SaaS company applying AI to enterprise workflows.
- Background in developer experience or internal platform work that accelerated other engineering teams.
Skills
LLMs, RAG, AI/ML, Llm Orchestration, Prompt Management, Model Evaluation, Kubernetes, Python, TensorFlow, PyTorch
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