AI/ML Engineer
General Dynamics Information Technology22 hours ago
Remote, United StatesStaff+
Base Salary
$195k - $264k/yr
Responsibilities
- Define and execute AI/ML strategy aligned with CMM modernization objectives.
- Design, develop, deploy, maintain, and tune machine learning, predictive, forecasting, generative AI, agentic AI, and advanced analytics solutions.
- Build LLM-powered applications, RAG pipelines, AI agents, intelligent automation capabilities, and proof-of-concepts transitioned to production.
- Automate model training, testing, validation, deployment, rollback, monitoring, versioning, lineage, and lifecycle management through MLOps/LLMOps pipelines.
- Monitor model performance, drift, degradation, and retraining needs in scalable cloud environments.
- Conduct responsible AI, bias, explainability, model risk, security, privacy, data classification, and authorization activities.
- Maintain AI/ML capability registers, model cards, governance artifacts, architecture documentation, and lifecycle records.
- Identify and mitigate risks including hallucination, prompt injection, data leakage, misuse, and model drift.
- Partner with analysts, engineers, architects, governance, cybersecurity, and business stakeholders to translate business problems into AI/ML solutions.
- Provide technical leadership, tool recommendations, reusable standards, mentoring, and clear communication to technical and non-technical audiences.
Requirements
- BA/BS or equivalent required; MA/MS strongly preferred.
- At least 15 years of general information systems experience, including at least 10 years of specialized experience; experience may substitute for education under the stated equivalency schedule.
- Expertise in machine learning, deep learning, natural language processing, AI/ML engineering, data science, or advanced analytics.
- Strong proficiency with Python, SQL, TensorFlow, PyTorch, scikit-learn, XGBoost, and cloud AI services including AWS SageMaker, Bedrock, Azure ML, and GCP Vertex AI.
- Experience implementing MLOps pipelines and integrating ML workflows into CI/CD and DevSecOps environments.
- Knowledge of FedRAMP, FISMA, NIST AI RMF, data governance, model monitoring, and ethical AI practices.
- Experience with vector databases, LLM fine-tuning, RAG pipelines, prompt engineering, agentic AI architectures, and generative AI frameworks.
- Experience with MLflow, LangChain, OpenAI, Azure, data visualization, and explainable AI methods is preferred.
- Federal or judiciary AI/ML modernization experience and relevant professional certifications are preferred but not required.
- Excellent analytical, advisory, presentation, communication, problem-solving, consulting, and stakeholder relationship skills.
- Must be able to pass a background check for Public Trust and be a US Person; US citizenship is not required.
Benefits
- Remote work from any location with a 40-hour scheduled work week and less than 10% travel.
- Medical, dental, vision, HSA, 401(k) with company match, disability, life, accident, critical illness, and business travel insurance options.
- Paid vacation, sick, personal, parental, military, bereavement, jury-duty leave, and at least 10 paid holidays; new employees typically receive 15 paid leave days per calendar year.
- Up to 160 hours of paid family leave in a rolling 12-month period for eligible employees.
- Full-flex work weeks where possible, wellness packages, career growth tools, internal mobility support, and a military-friendly workplace.
Tech Stack
Categories
About General Dynamics Information Technology
General Dynamics Information Technology (GDIT) delivers enterprise IT, systems integration, cybersecurity, cloud, and software engineering services to U.S. federal agencies, including defense and intelligence organizations. It provides contract-based professional and managed services ranging from network operations and unified communications to training and simulation. GDIT is a business unit of General Dynamics (NYSE: GD) and is headquartered in Falls Church, Virginia.