# AI/ML Engineering Manager

**Company**: CORSAIR
**Location**: Milpitas, CA
**Experience**: senior
**Job type**: full-time
**Salary**: $170,000—$210,000 USD
**Category**: IT
**Industry**: Technology

**Apply**: https://edix.fa.us2.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1/job/8819?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_4d82e7a7-dbb

## Description

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.

**Technical Leadership (40%)**

- 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

**Individual Contribution (60%)**

- 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

**What You Bring**

**Required**

- 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

**Preferred**

- 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

The starting base pay for this position is $170,000,$210,000 USD.

## Skills

### Required
- Python
- SQL
- LLM frameworks
- cloud AI platforms
- workflow orchestration tools
- data engineering tooling
- ML fundamentals

### Nice to have
- gaming
- consumer electronics
- hardware/peripherals
- LLM fine-tuning
- vector databases
- generative AI for images
- MLOps tooling
- Docker
- Kubernetes
- CI/CD pipelines

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Source: [Apply at edix.fa.us2.oraclecloud.com](https://edix.fa.us2.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1/job/8819?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)