AI/ML SME

Benefits:

• Competitive salary
• Opportunity for advancement
• Training & development

Job Title: AI/ML SME (AI/ML Engineer) Location: Fort Belvoir, Virginia (Onsite)

Job Summary

We are seeking an experienced AI/ML Engineer to design, develop, and deploy scalable AI-powered applications and machine learning solutions. The ideal candidate will have strong Python development skills, hands-on experience with Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI agents, and enterprise AI integration.

Key Responsibilities

• Design, develop, test, deploy, and maintain AI/ML applications, services, and agent-based workflows.
• Build RAG solutions involving data ingestion, retrieval, grounding, and enterprise data integration.
• Integrate LLMs and AI models with APIs, microservices, enterprise applications, and business workflows.
• Develop scalable application components and APIs using Python.
• Implement AI agents using LangChain, Microsoft Agent Framework, or similar technologies.
• Conduct automated testing and AI evaluations for accuracy, relevance, safety, grounding, and performance.
• Troubleshoot AI applications, optimize model performance, and support production deployments.
• Implement secure AI practices, including access controls, authorization-aware retrieval, and sensitive data protection.
• Collaborate with engineering, cloud, cybersecurity, DevSecOps, and product teams.
• Develop AI safety and alignment policies to promote ethical, secure, and responsible AI systems.
• Maintain technical documentation and reusable engineering components.

Required Qualifications

• Active Secret Security Clearance (Minimum) – Mandatory.
• CompTIA Security+ Certification – Mandatory.
• Minimum 3 years of experience in software engineering, application development, or AI/ML engineering.
• Strong hands-on experience developing Python applications, APIs, and backend services.
• Practical experience building Generative AI, LLM, or machine learning applications.
• Experience with LangChain, Microsoft Agent Framework, or comparable AI agent frameworks.
• Strong understanding of RAG, prompt engineering, context design, and AI evaluation.
• Experience integrating AI applications with enterprise systems, APIs, microservices, and web interfaces.
• Familiarity with cloud deployment, preferably AWS.
• Understanding of secure software development, data privacy, and access management.
• Strong collaboration, communication, and problem-solving skills.

Preferred Qualifications

• Bachelor's degree with 10+ years of relevant AI/ML or software engineering experience.
• Hands-on experience with Ask Sage (Highly Preferred).
• Familiarity with NIST AI safety frameworks and responsible AI practices.
• Experience implementing authorization-aware RAG, data filtering, and secure AI tool access.
• Experience with AI evaluation, tracing, observability, monitoring, and optimization.
• Knowledge of human-in-the-loop workflows, explainability, and AI governance.
• Relevant cloud, AI/ML, or software engineering certifications.

Technical Skills

• Programming: Python, SQL, R

• AI/LLM: Ask Sage, LangChain, Hugging Face, OpenAI, AI Agents, RAG, Vector Databases

• ML Frameworks: PyTorch, TensorFlow, Scikit-learn, XGBoost

• Cloud: AWS, Azure, Google Cloud

• MLOps/DevOps: Docker, Kubernetes, MLflow, Airflow, CI/CD

• Data Technologies: Pandas, NumPy, Spark, Snowflake, Databricks

• Security: AI Safety, Access Controls, Secure AI Integration, Responsible AI

Work Environment Primarily office-based, with collaboration across technical and engineering teams.