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Principal Director Ai Machine Learning Jobs (NOW HIRING)

Saic

AI/Machine Learning Engineer Principal

Chantilly, VA · On-site

$120K - $160K/yr

... AI/ML systems engineer sought here serves a USG Program Office leading Research & Development (R&D) of evolutionary, revolutionary, and transformational artificial intelligence and machine learning ...

SAIC

AI/Machine Learning Engineer Principal

Chantilly, VA · On-site

$120K - $160K/yr

... AI/ML systems engineer sought here serves a USG Program Office leading Research & Development (R&D) of evolutionary, revolutionary, and transformational artificial intelligence and machine learning ...

SAIC

AI Machine Learning Developer Principal

Chantilly, VA · On-site

$160K - $200K/yr

... and Machine Learning (AI/ML) Proof of Concepts (PoCs) specifically tailored for Intelligence Community (IC) mission use cases. This is a dynamic, high-impact set of positions supporting multiple ...

SAIC

AI Machine Learning Developer Principal

Arlington, VA · On-site

$160K - $200K/yr

... and Machine Learning (AI/ML) Proof of Concepts (PoCs) specifically tailored for Intelligence Community (IC) mission use cases. This is a dynamic, high-impact set of positions supporting multiple ...

SAIC

AI Machine Learning Developer Principal

Chantilly, VA · On-site +1

$160K - $200K/yr

... and Machine Learning (AI/ML) Proof of Concepts (PoCs) specifically tailored for Intelligence Community (IC) mission use cases. This is a dynamic, high-impact set of positions supporting multiple ...

SAIC

AI Machine Learning Developer Principal

Arlington, VA · On-site +1

$160K - $200K/yr

... and Machine Learning (AI/ML) Proof of Concepts (PoCs) specifically tailored for Intelligence Community (IC) mission use cases. This is a dynamic, high-impact set of positions supporting multiple ...

AIToolboard

AI / Machine Learning Engineer

Mclean, VA · On-site

$100K - $137K/yr

/AI / Machine Learning Engineer# AI / Machine Learning EngineerCyberMedia TechnologiesMcLean, USFull-time## About the RoleCTEC is a leading technology firm that provides modernization, digital ...

Saic

AI Machine Learning Developer Principal

Chantilly, VA · On-site

$160K - $200K/yr

... and Machine Learning (AI/ML) Proof of Concepts (PoCs) specifically tailored for Intelligence Community (IC) mission use cases. This is a dynamic, high-impact set of positions supporting multiple ...

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Principal Director Ai Machine Learning information

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How much do principal director ai machine learning jobs pay per year?

As of Sep 11, 2026, the average yearly pay for principal director ai machine learning in the United States is $109,393.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,000.00 and $125,000.00 per year, depending on experience, location, and employer.

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For Principal Director Ai Machine Learning jobs, the most frequently searched job titles are:

AI / Machine Learning Engineer

Remote

CyberMedia Technologies
See more jobs at CyberMedia Technologiesexternal

Full-time

Re-posted 13 days ago

Job description

We are seeking to hire a AI/Machine Learning Engineer to our team!

Role Overview:
As an AI/ML Engineer for CTEC, you will develop Agentic AI systems designed to automate and optimize health benefits determinations for the Office of Personnel Management (OPM). Unlike traditional "black-box" models, your work will focus on marrying the reasoning capabilities of Large Language Models (LLMs) with deterministic, rule-driven patterns to ensure accuracy, auditability, and compliance in complex decision-making workflows.

Duties and Responsibilities:

  • Agentic System Architecture: Design and deploy autonomous AI agents capable of multi-step reasoning, tool-use, and self-correction to navigate complex federal benefit policies.
  • Deterministic Logic Integration: Develop "Guardrail" layers that synchronize probabilistic LLM outputs with rigid business rules, ensuring benefit determinations adhere strictly to legal and regulatory frameworks.
  • RAG & Knowledge Engineering: Implement advanced Retrieval-Augmented Generation (RAG) solutions, utilizing layout-aware parsing to extract information from dense manuals/documentation and unstructured data.
  • Hybrid Model Development: Design and evaluate machine learning models that support both data-driven predictions and symbolic/rule-based automation.
  • MLOps & Agent Monitoring: Deploy models into cloud environments with a focus on LLM-specific observability (tracing reasoning loops, monitoring for hallucinations, and detecting data drift in logic).
  • Auditability & Explainability: Ensure every AI-driven determination has a clear, human-readable "audit trail" or reasoning chain that justifies the outcome based on source documentation.
  • Collaboration: Work alongside solution architects and business stakeholders to translate complex health insurance policies into executable AI logic.

Skills & Work Experience:

  • Professional Experience: 5+ years in Machine Learning or Data Science, with at least 2 years of hands-on experience with LLM orchestration and Generative AI frameworks.
  • Agentic Frameworks: Proficiency with tools such as LangChain, LangGraph, CrewAI, or Semantic Kernel for building multi-step agent workflows.
  • Core Development: Strong proficiency in Python and experience with standard frameworks (PyTorch, TensorFlow, or Scikit-learn)
  • Data Engineering: Strong SQL skills and experience with distributed data processing (Spark/PySpark) to handle large-scale enterprise data.
  • Analytical Rigor: Ability to debug non-deterministic systems and implement rigorous evaluation frameworks (e.g., RAGAS, LLM-as-a-judge) data platforms.

Preferred:

  • Experience with Azure Machine Learning, Azure AI services, or similar cloud AI platforms.
  • Experience implementing Generative AI, LLM, or RAG-based solutions.
  • Experience supporting federal IT modernization or data transformation programs.
  • Familiarity with healthcare, insurance, or benefits administration data environments.
  • Experience applying data governance, privacy, and security best practices in AI/ML solutions.

Education:

Bachelor's degree in Computer Science, Data Science, Engineering, or a related discipline. Master's degree preferred. Equivalent professional experience will be considered in lieu of a degree.

Clearance:
Must be a U.S. citizen and be able to obtain an OPM Public Trust clearance.

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