AI/ML Engineering Manager

CORSAIR • Milpitas, CA

1d • $170,000 - $210,000

About The Position

CORSAIR is building a production-grade AI/ML capability spanning intelligent automation, agentic systems, predictive analytics, and data engineering. As AI/ML Engineering Manager, you will lead a team while staying hands-on as a technical contributor. You will architect and build AI/ML systems that directly affect how the business operates, engage stakeholders across functions to surface automation opportunities, and own the full AI/ML lifecycle end-to-end.

Requirements

• 6+ years in AI/ML engineering or applied data science, with at least 1-2 years in a technical lead role
• Proven experience designing and deploying agentic AI systems in production: orchestration, tool use, memory, and evaluation
• Strong Python and SQL; hands-on with LLM frameworks (LangChain, LangGraph, CrewAI, Strands, or equivalent) and cloud AI platforms (AWS Bedrock, Azure AI Foundry, or Microsoft Fabric)
• Experience with durable workflow orchestration tools such as Temporal, Airflow, or Step Functions
• Solid ML fundamentals and end-to-end pipeline ownership; experience with data engineering tooling (dbt, Dagster, Spark)
• Demonstrated ability to lead engineers technically and communicate tradeoffs to VP-level stakeholders

Nice To Haves

• Experience in gaming, consumer electronics, or hardware/peripherals
• Familiarity with LLM fine-tuning (LoRA, PEFT), vector databases, generative AI for images, or MLOps tooling (MLflow, W&B)
• Exposure to Docker, Kubernetes, and CI/CD pipelines for ML workloads
• Experience working cross-functionally with Product, Finance, Legal, and Operations stakeholders

Responsibilities

• Lead and manage a team of engineers and contractors across multiple AI/ML and automation workstreams; own delivery standards, architecture quality, and team development
• Architect agentic AI systems end to end: multi-agent orchestration, tool use, memory management, human-in-the-loop controls, and evaluation frameworks
• Own the AI/ML technical roadmap; evaluate build vs. buy tradeoffs and align with VP-level stakeholders
• Engage business stakeholders across functions to map workflows, identify automation opportunities, and translate operational requirements into AI-driven solutions
• Design and ship production-grade agentic AI systems using modern LLM orchestration frameworks; own orchestration logic, state management, and output evaluation
• Build durable, fault-tolerant automation pipelines using workflow orchestration tools such as Temporal; design for reliability, retry logic, and long-running distributed tasks
• Develop and deploy predictive ML models; own the full lifecycle from feature engineering through production monitoring
• Implement RAG systems, vector retrieval pipelines, and prompt engineering strategies at scale; apply LLM fine-tuning when it delivers better ROI than retrieval or prompting
• Build and maintain data engineering pipelines (dbt, Dagster, Spark, Microsoft Fabric); diagnose data quality issues that affect AI system reliability
• Own MLOps infrastructure: experiment tracking, model versioning, retraining pipelines, and drift detection

Benefits

• Comprehensive medical, dental, and vision benefits
• Bonus
• 401K Plan
• Tuition Assistance
• Employee Discount Purchase Program
• Paid Parental Leave
• Employee Stock Purchase Program
• Generous paid time off and holidays
• Pet Insurance

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed