Solutions Architect

Active Top Secret security clearance (required) Demonstrated experience in solution architecture, pre-sales engineering, or technical consulting with a track record of designing and delivering enterprise-grade systems for federal or defense customers. Thorough understanding of cloud computing platforms (e.g., AWS GovCloud, Google Cloud, Azure Government) and cloud-native design patterns in government environments. Strong proficiency in Python with experience building production-quality applications and automation. Expert-level understanding of system integration patterns, including RESTful and GraphQL APIs, webhooks, and event-driven architectures. Solid understanding of SQL and database operations (e.g., query optimization, schema design, transactions). Ability to lead technical discussions and present complex architectures to both technical and non-technical audiences, including government stakeholders. Baseline understanding of AI/ML concepts (e.g., ML workflows, data pipelines, NLP, or RAG) and data science engineering practices. Experience with orchestration frameworks, LLMs, or knowledge retrieval systems. Familiarity with MLOps practices, such as model versioning, deployment pipelines, experiment tracking, and model monitoring. Experience with FedRAMP, FISMA, or other federal compliance frameworks. Exposure to additional programming languages or technology stacks is a plus Strong problem-solving skills with the ability to analyze ambiguous requirements and propose effective solutions. Experience with Agile methodologies and DevOps/CI-CD practices. Strong written and verbal communication skills, with an emphasis on technical documentation. Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent practical experience).