AI Platform & MLOps Engineering Lead

snc

Lone Tree (CO)

Hybrid

USD 190,000 - 261,000

Full time

3 days ago
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Benefits offered by this job

Medical, dental, vision
401(k) with 150% match up to 6%
Life insurance
3 weeks paid time off
Tuition reimbursement

Job summary

SNC is seeking an AI/ML Engineering Manager II to lead multiple AI/ML teams and guide the strategic technical direction for enterprise-grade ML systems. You will oversee LLM platforms, MLOps, and cross-functional deployments across business platforms.

You will drive architectural decisions, establish validation and compliance processes, and mentor senior engineers to deliver scalable AI capabilities that align with mission-critical program requirements.

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.
  • Demonstrated success leading engineering teams and delivering complex technical programs.
  • Expertise in generative AI/LLM techniques; familiarity with supervised and unsupervised ML for data platform use cases.

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, model routing, 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.

Skills

AI/ML leadership
Software engineering
Generative AI
ML pipelines
Security & compliance
Cloud platforms
Cross-functional leadership

Education

Bachelor's degree in CS/Engineering

Tools

AWS
Google Cloud
Azure
Databricks
Snowflake
LLM gateway

Job description

SNC is seeking an AI/ML Engineering Manager II to lead multiple AI/ML teams and guide the strategic technical direction for enterprise-grade ML systems. You will oversee LLM platforms, MLOps, and cross-functional deployments across business platforms.

You will drive architectural decisions, establish validation and compliance processes, and mentor senior engineers to deliver scalable AI capabilities that align with mission-critical program requirements.

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