Associate Manager, AI/ML Engineering

Quick Facts

• Role: Associate Manager, AI/ML Engineering

• Focus: Hands-on leadership to design and productionize agentic AI workflows

Description

Lead the day-to-day work of a small team of data engineers while you personally deliver agentic AI systems that automate and scale data operations and analytics products. Build multi-step agent loops with tool calling, orchestration, and memory/state management; implement evaluation and observability for deployed agents; and ground outputs with retrieval-augmented generation (RAG). Define production guardrails and human-in-the-loop review boundaries, own model/prompt-pipeline versioning, and drive continuous improvement and incident response.

Responsibilities

• Manage and direct daily work of a small team; review outputs and deliver technical work yourself

• Design, build, and productionize agentic AI workflows with sub-agent orchestration and memory/state management

• Develop evaluation harnesses and observability to measure accuracy, latency, and cost and diagnose failure modes

• Implement RAG and semantic search against proprietary data assets

• Define guardrails, escalation points, and human-in-the-loop boundaries for production agents

• Translate business requirements into agent specifications and delivery plans

• Own deployed agent model/prompt-pipeline versioning, including production incident response and improvements

• Guide and review junior engineers and stay current on agentic AI tooling

Requirements

• Bachelor's degree in Computer Science, Data Science, Engineering, or related quantitative field

• 5+ years of experience in data science or AI/ML engineering; at least 2 years shipping agentic AI or LLM applications in production

• Hands-on experience with machine learning and agent orchestration frameworks such as Claude Code and Claude Agent SDK, including tool-calling and MCP-based integration patterns

• Strong applied Python, SQL, and Snowflake fundamentals

• Experience designing evaluation frameworks for agent accuracy, latency, and cost

• Knowledge of agent failure modes (hallucination, drift, prompt injection, cost runaway) and mitigation through guardrails and human-in-the-loop review

• People management experience directing and reviewing junior engineers while owning personal delivery

Benefits

• 5 weeks of holidays plus extra corporate days off

• Flexible hybrid work and ability to work from home most of the week

• Sick days and flexible scheduling

• Cafeteria system (Flexipasses points, pension/life insurance, or Multisport card) and meal allowance

• Equal Opportunity Employer; employment eligibility verification required