Junior AI Solutions Engineer (Washington DC)

Strategic Innovation Group (SIG) is hiring a Junior AI Solutions Engineer to build and deploy secure, production-grade AI applications for federal civilian clients. The role develops LLM workflows, RAG pipelines, agentic systems, and end-to-end ML infrastructure in enterprise environments.

Responsibilities:

• Design, develop, and deploy scalable AI/ML solutions, including LLM-powered applications, RAG architectures, and agent-based workflows, in complex, enterprise environments
• Build and maintain end-to-end ML pipelines (data engineering, model development, deployment, monitoring, and retraining) using Python, SQL,  and modern MLOps practices
• Develop and integrate AI applications using foundation models (such as Claude, GPT variants, and open-weight Hugging Face models) and cloud-native services across AWS and Azure (e.g., Bedrock, SageMaker, OpenAI Service, AI Search)
• Design secure, auditable, and explainable AI systems with strong governance, traceability, and human-in-the-loop controls for mission-critical and compliance-sensitive environments
• Collaborate with cross-functional teams to prepare data, enable semantic retrieval, and deliver robust AI-driven solutions aligned to operational needs
• Continuously monitor, evaluate, and optimize AI system performance to meet client-defined objectives for accuracy, reliability, and scalability
• Establish and maintain scalable AI infrastructure using containerization and orchestration tools (Docker, Kubernetes) and CI/CD pipelines
• Document solutions and provide knowledge transfer to ensure long-term sustainability and adoption of AI capabilities