Benefits:
- Competitive salary
- Opportunity for advancement
- Training & development
Job Title: AI/ML SME (AI/ML Engineer)
Location: Fort Belvoir, Virginia (Onsite)
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.
Compensation: $140,000.00 - $165,000.00 per year
AES is a premier technology consulting company that brings together businesses and talent to deliver the most innovative technology solutions that create the most positive impact to society.
In the last 20 years, we have developed innovative best-in-class technology solutions to the world’s forward-thinking companies on four key service areas:
- Customer Experience: engaging customers with differentiating digital experiences to sustain
business relevance
- Employee Experience: enabling employees to learn, collaborate, and grow to sustain business
performance
- Business Solutions: transforming and optimizing business operations to sustain business resilience
- Emerging Technology: exploring and adopting emerging technology to transform business model
Our team ensures that your favorite coffee shop has the right amount of people serving you at any given time. Our team ensures that the governance board of a global company has the right ESG insights to make the most sensible actions for the world. The list goes on and on. At the core of
what we do is creating the future that is right for everyone, with the right technology, and with the right talent.
In the last 20 years, we have developed innovative best-in-class technology solutions to the world’s forward-thinking companies on four key service areas:
- Customer Experience: engaging customers with differentiating digital experiences to sustain
business relevance
- Employee Experience: enabling employees to learn, collaborate, and grow to sustain business
performance
- Business Solutions: transforming and optimizing business operations to sustain business resilience
- Emerging Technology: exploring and adopting emerging technology to transform business model
Our team ensures that your favorite coffee shop has the right amount of people serving you at any given time. Our team ensures that the governance board of a global company has the right ESG insights to make the most sensible actions for the world. The list goes on and on. At the core of
what we do is creating the future that is right for everyone, with the right technology, and with the right talent.
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