AI Solutions Architect & Federal Technical Lead – US Federal Sector

Key Responsibilities

• Hands-on AI Engineering & Prototyping
• 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.
• Bridge the gap between rigid government engineering standards and agile AI software deployment by implementing modern DevSecOps practices.

Enterprise Architecture & Modernization

• Evaluate complex, legacy federal enterprise architectures (including monolithic databases and mainframes) to design and execute AI-driven optimization and integration strategies.
• Design comprehensive, hybrid system blueprints that safely and effectively integrate modern cloud-native AI solutions with siloed on-premise government systems.
• Ensure all proposed architectures are inherently designed to strictly comply with FedRAMP, DoD Impact Levels (IL4/IL5/IL6), and Zero Trust mandates.

Technical Strategy & Executive Advisement

• Conduct deep-dive technical discovery sessions and briefings with SES leaders, flag officers, and agency technical directors (CIOs/CTOs).
• Translate complex mission challenges into actionable, secure technical roadmaps and system designs.
• Serve as the primary technical Subject Matter Expert (SME) and author for complex technical volumes in RFIs, RFPs, and whitepapers to secure prime contract vehicles.

Compliance & Deployment Leadership

• Guide federal technical teams through the complex Authority to Operate (ATO) processes by providing comprehensive architectural documentation and security mappings.
• Architect solutions specifically tailored for high-security, air-gapped, or disconnected edge environments.

Required Qualifications

• Technical Skills & Hands-On Expertise
• AI/ML Stack: Deep, hands-on command of LLM orchestration (e.g., LangChain, LlamaIndex), RAG architectures, vector databases (e.g., Milvus, Pinecone, pgvector), and model fine-tuning/deployment.
• Programming & Infrastructure: Strong proficiency in Python and experience deploying containerized applications (Docker, Kubernetes) within AWS GovCloud, Azure Government, or on-premise environments.
• Systems Engineering: Proven ability to design data migrations, API integrations, and secure data pipelines connecting legacy systems to modern AI platforms.
• Security & Compliance: Technical mastery of FedRAMP controls, NIST 800-53 guidelines, DevSecOps pipelines, and deploying software in highly restricted or air-gapped networks.

Professional & Leadership Experience

• 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).

Education

• Bachelor’s degree in Computer Science, Artificial Intelligence, or related field, or equivalent experience.

Commitment to Diversity

eTelligent Group provides equal employment opportunities (EEO) to all applicants without regard to race, color, religion, gender, sexual orientation, gender identity, nations origin, age, disability, genetic information, marital status, amnesty, status as a covered veteran, and any other characteristic provided in accordance with applicable, federal, state and local laws.