Remote Lead AI/ML Architect — Enterprise AI Strategy

Chenega Corporation

Washington (District of Columbia)

Hybrid

USD 167,000 - 190,000

Full time

4 days ago
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Job summary

Chenega MIOS seeks a Lead AI/ML Architect to identify and govern AI/ML solutions for the GSA Fleet platform. You will guide architecture, strategy, and implementation as a senior advisor to stakeholders toward data-driven decisions.

The role emphasizes enterprise-grade AI/ML, data governance, and rigorous cost-benefit analyses across complex environments with cloud and on-prem capabilities.

Qualifications

  • Bachelor’s Degree in a related field.
  • 5+ years of progressively responsible experience designing, developing, and deploying enterprise-level AI/ML solutions.
  • Must be able to undergo a Tier 2S Investigation and receive a favorable investigation/adjudication outcome.
  • Successfully pass background and drug screening.

Responsibilities

  • Discover and prioritize Fleet AI/ML use cases for analytics, intelligent workflows, automation, and workforce support.
  • Evaluate each use case for data readiness, mission value, feasibility, dependencies, risk, and operating cost.
  • Design model, data pipeline, interface, monitoring, quality, governance, security, and deployment requirements.
  • Present solution options and cost-benefit recommendations to GSA IT and Fleet business stakeholders.

Skills

AI/ML architecture
Leadership
Discovery
Stakeholder communications
Cost-benefit analysis
Data governance
Model deployment
Monitoring & performance

Education

Bachelor’s Degree in a related field

Tools

TensorFlow
PyTorch
AWS SageMaker
Azure ML
Vertex AI

Job description

Chenega MIOS seeks a Lead AI/ML Architect to identify and govern AI/ML solutions for the GSA Fleet platform. You will guide architecture, strategy, and implementation as a senior advisor to stakeholders toward data-driven decisions.

The role emphasizes enterprise-grade AI/ML, data governance, and rigorous cost-benefit analyses across complex environments with cloud and on-prem capabilities.

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