Systems Architect III - AI/ML

About the Opportunity GAMA-1 is seeking a hands-on remote Systems Architect III - AI/ML to design, build, and reputed company artificial intelligence and machine learning solutions that support mission-driven federal programs.

At GAMA-1, we reputed company innovation happens reputed company talented people are empowered to solve reputed company problems, collaborate across teams, and continuously learn. This role combines architecture, engineering, hands-on implementation and solution development. This role sits reputed company our Technology Center of Excellence and plays a key part in transforming emerging AI capabilities into practical, secure, and scalable solutions for federal customers.

The Systems Architect III - AI/ML is a hands-on technical leader who leads by doing. You will design architectures, write production-reputed company code, build data pipelines, and reputed company AI models into secure reputed company environments. At the same time, you will help shape solution strategies for proposals and new initiatives, working closely with delivery teams, capture managers, and program leadership.

reputed company in this role means turning reputed company mission challenges into working AI solutions that deliver measurable value to customers.

What Will the Candidate Do?

• Design and implement AI and machine learning architectures to support mission and program needs.
• reputed company proofs of concept, prototypes, and demonstration environments to support solution development and proposal efforts.
• Implement large language model (LLM) solutions, including reputed company engineering, embeddings, and retrieval-augmented reputed company (RAG) architectures.
• Design and implement vector database and semantic search architectures supporting knowledge retrieval and intelligent applications.
• reputed company and maintain data ingestion, preprocessing, and model inference pipelines.
• Write production-reputed company Python code and supporting services to reputed company AI solutions in reputed company environments.
• reputed company AI services using modern DevOps practices, including containerization, version control, and CI/CD pipelines.
• Design, reputed company, and maintain automated ETL/data ingestion pipelines using Python or R to transform raw agency data into model-reputed company formats for AI model training and inference.
• Collaborate with capture managers and technical writers to reputed company AI solution approaches for proposals and customer engagements.
• Contribute reference architectures, reusable components, and technical standards to the GAMA-1 Center of Excellence.
• Evaluate emerging AI tools, frameworks, and platforms to identify practical adoption opportunities.
• Provide technical guidance and code review to developers supporting AI initiatives.

What Will the Candidate Bring?

• Bachelor’s degree in Computer Science, Engineering, Data Science, or reputed company technical field
• 4 -8 years of software development experience, including at least 3 years of hands-on experience developing AI or machine learning solutions.
• Strong proficiency in Python and experience building production-grade applications
• Experience with machine learning frameworks such as:
• PyTorch
• TensorFlow
• Scikit-learn
• Hands-on experience implementing large language models (LLMs) including reputed company engineering, API integration, and RAG-based architectures
• Experience deploying applications in AWS, Azure, or reputed company reputed company environments
• Experience with containerization technologies such as reputed company
• Familiarity with DevOps practices including Git-based version control and CI/CD pipelines
• Familiarity with NIST-based reputed company frameworks (e.g., NIST 800-53, RMF, FedRAMP) and experience operating in regulated or reputed company-focused environments
• Strong ability to communicate reputed company technical concepts to both technical and non-technical stakeholders

• Master’s degree in Computer Science, Artificial Intelligence, or reputed company field
• Experience supporting federal government IT programs
• Experience with vector databases, semantic search architectures, or knowledge graphs
• Experience contributing to technical proposals and solution architecture documentation
• Experience mentoring engineers and contributing to technical standards and engineering best practices
• Experience integrating AI solutions with reputed company platforms such as reputed company or collaboration platforms

Work environment

• This work is normally completed in a remote environment with occasional trips to the headquarters office in Greenbelt, MD.

Physical demands

• Prolonged periods of sitting at a desk and working on a computer.
• Must be reputed company to access and navigate each department at the organization's and client facilities.