Role overview
JOB TITLE: AI/ML Engineer – Data & Full-Stack Solutions
POSITION INFORMATION: Full-Time Position
LOCATION: Fairfax, VA; Hybrid – 3 days onsite/2 remote
POSITION TIMING: ASAP; hiring immediately
BENEFITS: Health, Dental, and Vision, 401(k), Tuition Reimbursement, Flexible Spending Account (FSA), 11 Paid Federal Holidays, 3 weeks Paid Time Off
ITC Federal, LLC (ITC) connects technology advancements in automation and AI, customer experience, and financial services to solve government mission challenges, enabling smoother operational efficiency and bolstering national security. We leverage the latest technology innovations and proven approaches to better serve the mission and support the DHS, DOJ, and DoW workforce, customers, and programs, regardless of scale or complexity. ITC is located in Fairfax, VA and offers outstanding compensation and benefits plan and a challenging and rewarding professional work environment.
POSITION OVERVIEW:
ITC Federal is seeking a highly skilled AI/ML Engineer with a strong background in data engineering and full-stack development to support the design, development, and deployment of advanced AI-driven solutions. This role requires a unique blend of technical expertise and the ability to translate complex concepts into clear, customer-facing deliverables, including documentation, proposals, and solution artifacts.
The ideal candidate will have experience taking ideas from concept to production—building intelligent, scalable solutions and integrating them into enterprise environments to drive meaningful business outcomes. This position works closely with cross-functional teams to deliver innovative, production-ready capabilities leveraging modern cloud and AI technologies.
Responsibilities
- Design, develop, and deploy AI/ML solutions, including LLMs, NLP, computer vision, and predictive analytics
- Build and implement Retrieval-Augmented Generation (RAG) pipelines and AI-powered applications
- Integrate AI solutions into existing enterprise systems and workflows
- Design and implement scalable data pipelines for ingestion, transformation, and processing of structured and unstructured data
- Develop and maintain data lakehouse architectures
- Build ETL/ELT workflows using tools such as Azure Data Factory, Apache Airflow, or similar
- Develop end-to-end applications, including frontend, backend, and APIs
- Create intuitive user interfaces for AI-driven applications
- Deploy applications using cloud-native architectures (AWS, Azure, GCP)
- Translate business requirements into technical architectures and working solutions
- Integrate AI and data solutions into enterprise and cloud environments
- Collaborate with cross-functional teams to deliver production-ready solutions
- Clearly articulate complex technical concepts through written documentation, proposals, and solution artifacts
- Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or related field
- 4+ years of experience in AI/ML, data engineering, or full-stack development
- Strong programming skills in Python, JavaScript/TypeScript, or Java
- Experience with AI/ML frameworks (TensorFlow, PyTorch, Hugging Face, OpenAI APIs)
- Experience building data pipelines and working with big data technologies
- Hands-on experience with cloud platforms (AWS, Azure, or GCP)
- Experience with REST APIs, microservices, and frontend frameworks (React, Angular, or Vue)
- Experience with LLMs, RAG architectures, and generative AI applications
- Familiarity with Databricks, Snowflake, or lakehouse architectures
- Experience with DevOps tools (Docker, Kubernetes, CI/CD pipelines)
Preferred qualifications
- Experience supporting federal government or GovCon environments
- Experience contributing to proposals, technical responses, or solutioning efforts (e.g., white papers, RFP responses, technical volumes)