AI Platform & MLOps Engineering Lead

Sierra Nevada Corporation; Englewood (CO); Hybrid; USD 190,000 - 261,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision plans

401(k) with 150% match up to 6%

Life insurance

Paid time off - 3 weeks

Tuition reimbursement

Job summary

Sierra Nevada Corporation is seeking an AI/ML Engineering Manager II to lead multiple AI/ML teams and oversee enterprise‑wide ML initiatives in a hybrid environment. The role focuses on scalable ML systems, platform governance, and aligning engineering with mission-critical programs.

Qualified candidates have 6–8+ years in AI/ML or software engineering with at least 2 years in management, plus expertise in generative AI, LLMs, and compliant data practices.

Qualifications

• Bachelor’s degree in computer science, mathematics, statistics, engineering, or related STEM field.
• 6–8+ years of experience in AI/ML or software engineering, including 2+ years in a management role.
• Experience leading engineering teams on complex technical programs.
• Higher level degree may substitute for experience.
• CMMC/NIST SP 800-171 awareness or equivalent compliance training.

Responsibilities

• Lead the AI/LLM Platform and MLOps engineering team delivering the enterprise AI platform.
• Provide deep technical guidance on LLM and generative AI architectures, including the LLM gateway and agent/workflow orchestration.
• Oversee integration of ML models and AI capability into enterprise systems and business platforms.
• Establish strong validation, verification, and compliance processes.
• Manage resourcing, budgeting, schedules, and risk mitigation.
• Mentor senior engineers and technical leads.
• Drive AI/LLM platform capability development and own the long-term technical roadmap for the platform.

Skills

AI/ML

Leadership

MLOps

Compliance

Cloud AI

Education

Bachelor's degree in CS/Math/Engineering

Tools

AWS ML

Google Cloud ML

Azure AI

Job description

Sierra Nevada Corporation is seeking an AI/ML Engineering Manager II to lead multiple AI/ML teams and oversee enterprise‑wide ML initiatives in a hybrid environment. The role focuses on scalable ML systems, platform governance, and aligning engineering with mission-critical programs.

Qualified candidates have 6–8+ years in AI/ML or software engineering with at least 2 years in management, plus expertise in generative AI, LLMs, and compliant data practices.