eTelligent Group LLC
AI Solutions Architect & Federal Technical Lead – US Federal Sector
Herndon, Virginia, United States
Sponsorship not specified$53k-$800kDetected 23 days ago
PythonVector DatabasesAWSAzureDockerKubernetesMachine LearningData EngineeringLLMsRAGAI OrchestrationSystems EngineeringZero TrustLeadershipCollaborationPublic Speaking
About the role
- Other customers include the broader Treasury Department, Commerce Department, and State Department.
Responsibilities
- Act as the lead technical builder to rapidly engineer, code, and ship high-impact AI/ML Proofs of Concept (PoCs) and pilot programs within secure federal sandbox environments.
- Develop and deploy custom Retrieval-Augmented Generation (RAG) pipelines, fine-tune Large Language Models (LLMs), and implement robust vector databases tailored to federal mission data.
- Evaluate complex, legacy federal enterprise architectures (including monolithic databases and mainframes) to design and execute AI-driven optimization and integration strategies.
- Ensure all proposed architectures are inherently designed to strictly comply with FedRAMP, DoD Impact Levels (IL4/IL5/IL6), and Zero Trust mandates.
- Translate complex mission challenges into actionable, secure technical roadmaps and system designs.
Requirements
- Technical Skills & Hands-On Expertise
- Programming & Infrastructure: Strong proficiency in Python and experience deploying containerized applications (Docker, Kubernetes) within AWS GovCloud, Azure Government, or on-premise environments.
- Federal Heritage: Foundational knowledge of legacy federal IT infrastructure, monolithic architectures, and agency enterprise tech stacks.
- Executive Presence: 5+ years of experience acting as a technical SME, presenting complex architectural concepts to SES-level executives, political appointees, or military flag officers.
- Delivery Track Record: Proven success in systems engineering, solutions architecture, or technical delivery within the US Federal Government or with Tier-1 Federal Systems Integrators (FSIs).
- Bachelor's degree in Computer Science, Artificial Intelligence, or related field, or equivalent experience.
- Strong proficiency in Python and experience deploying containerized applications (Docker, Kubernetes) within AWS GovCloud, Azure Government, or on-premise environments.
- Foundational knowledge of legacy federal IT infrastructure, monolithic architectures, and agency enterprise tech stacks.
- 5+ years of experience acting as a technical SME, presenting complex architectural concepts to SES-level executives, political appointees, or military flag officers.
Compensation
- $53k-$800k
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