AI Solutions Architect​/Technical Lead; SME Security Clearance

Position: AI Solutions Architect / Technical Lead (SME) with Security Clearance
Title:

AI Solutions Architect / Technical Lead (SME)
Clearance:
Top Secret

Location:

Huntsville, AL Contact:
Overview
We are seeking an expert-level AI Solutions Architect / Technical Lead (Subject Matter Expert - SME) to design and guide the implementation of mission-critical Artificial Intelligence (AI) and Machine Learning (ML) platforms for our Federal Government client. This role is ideal for a seasoned architect ready to manage the technical vision for large-scale, secure, and compliant AI systems in the cloud.

Key Responsibilities

• As the AI Solutions Architect, you will:

• Architect AI/ML Systems:
Serve as the technical authority for designing robust, scalable, and highly available AI/ML solutions, focusing heavily on Natural Language Processing (NLP) and Large Language Model (LLM) integration.

• Secure Cloud Deployment:
Design and oversee the deployment of distributed systems within secure cloud environments, specifically AWS Gov Cloud, ensuring all infrastructure and workloads meet stringent security and compliance mandates.

• LLM & RAG Implementation:
Define the technical strategy for hosting and serving LLMs at scale using specialized frameworks, and architect end-to-end Retrieval-Augmented Generation (RAG) architectures and vector search solutions.

• Compliance & Accreditation:
Ensure all designed solutions adhere strictly to required Federal compliance frameworks (FedRAMP High, RMF, CJIS), contributing to system accreditation documentation (ATO).

• Technical Guidance:
Provide leadership and deep technical guidance to engineering teams on microservice architectures, container orchestration using Kubernetes/EKS, GPU workload management, and model observability best practices.

• Workflow Design:
Define patterns and best practices for workflow orchestration and governance within the AI/ML pipeline lifecycle.

Required Qualifications & Expertise

•

Experience:

Minimum 12+ years of progressive experience in enterprise architecture or large-scale system design.

• AI/ML Specialization:
At least 5+ years of direct experience architecting and implementing live AI/ML or NLP systems.

• Cloud & Containerization:
Deep expertise in deploying and securing systems within AWS Gov Cloud, and extensive experience with container orchestration using Kubernetes (or EKS), especially managing resource-intensive GPU workloads.

• Distributed Systems:
Proven experience designing and managing microservice architectures, distributed systems, and workflow orchestration.

• LLM/NLP Expertise:
Hands-on experience with:

• LLM Hosting Frameworks (e.g., vLLM, Text Generation Inference (TGI), AWS Sage Maker hosting).

• Retrieval-Augmented Generation (RAG) architectures.

• Implementing embeddings and vector search solutions.

• Designing solutions for model observability and monitoring.

• Compliance & Security:
Demonstrated experience delivering systems that meet strict Federal compliance requirements, such as FedRAMP High, RMF (Risk Management Framework), or CJIS. Desired Qualifications

• Active Security Clearance (e.g., Secret, Top Secret, TS/SCI).

• Experience with specific vector database technologies (e.g., Pinecone, Weaviate, Milvus).

• AWS Certified Solutions Architect – Professional or equivalent certification.