AI Solutions Architect

Candidates must be US Citizens and able to obtain a low-level security clearance. A Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or a related field is required, with a Ph.D. or equivalent experience being a plus. The role requires 7+ years of experience in software development, data science, or applied machine learning, with strong knowledge of LLM architectures like BERT, RAG, and GPT. Familiarity with cloud-native AI stacks on AWS, Azure, or GCP, hands-on experience with ML frameworks such as Python, TensorFlow, PyTorch, or Hugging Face, and practical understanding of vector search, embeddings, knowledge graphs, and RAG pipelines are essential. Proficiency with AI-assisted development tools like GitHub Copilot is also necessary. Experience working across product, design, and business teams to shape AI-powered features and services is expected. Bonus qualifications include understanding of responsible AI principles, experience with specific AWS or Azure AI services, familiarity with AI/ML applications in federal health or veterans' services, and past involvement in business development or innovation labs. Candidates located in the DMV area are strongly preferred.