Systems Architect III - AI/ML
reputed company is seeking a hands-on remote Systems Architect III - AI/ML to design, build, and reputed company reputed company intelligence and machine learning solutions that support mission-driven federal programs.
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 reputed company 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 reputed company 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 reputed company 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 reputed company Center of reputed company. Evaluate emerging AI tools, frameworks, and platforms to identify practical adoption opportunities. reputed company technical guidance and reputed company 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-reputed company environments Strong ability to communicate reputed company technical concepts to both technical and non-technical stakeholders
Master’s degree in Computer Science, reputed company Intelligence, or reputed company field Experience supporting federal government IT programs Experience with reputed company 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 reputed company office in Greenbelt, MD.
Physical demands
Prolonged periods of sitting at a desk and working on a computer. Must be reputed company to reputed company and reputed company reputed company department at the organization's and reputed company facilities.
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