Noblis is seeking an AI Solutions Architect Lead to support our customer in Chantilly VA.
The AI Solutions Architect (Lead) is responsible to Designs, implements, and oversees end-to-end enterprise AI architectures that translate business requirements into scalable, secure, and production-ready systems. Leads the technical design, development, and implementation of agentic AI systems to orchestrate user queries across heterogeneous data sources. Integrates data pipelines, models, LLMs, and enterprise applications while partnering closely with development, DevOps, and data engineering teams to deliver extensible AI architectures from prototype to production.
Key Responsibilities:
- Defines the overall system architecture, solution patterns, standards, and reference architectures for enterprise AI systems, selecting and governing AI/ML and platform technologies to ensure scalability, security, and production readiness.
- Leads platform and model integration across cloud services (Azure, AWS, or GCP), APIs, vector databases, orchestration frameworks, embeddings, vector search, memory, and reasoning workflows.
- Architects multistep, agentic workflows involving retrieval-augmented generation (RAG), tool-calling, multi-agent orchestration, and automated reasoning loops to orchestrate queries across heterogeneous data sources.
- Designs and deploys LLM-based systems including prompt strategy management, model evaluation, and system traceability and reliability mechanisms.
- Guides engineering and data teams through delivery from prototype to production, translating project requirements into extensible AI architectures and ensuring alignment across cross-functional teams.
- Evaluates emerging AI technologies to recommend optimal technology stacks, balancing innovation with enterprise stability and governance requirements.
- Ensures rigorous system scalability, security, and governance by applying responsible AI principles and enterprise security frameworks throughout the architecture lifecycle.
- Communicates architectural decisions, trade-offs, and technical strategies to executives and technical stakeholders.
- US Citizenship is required
- Active Top Secret (TS) clearance with eligibility for Sensitive Compartmented Information (SCI) and ability to obtain a Counterintelligence (CI) Polygraph.
- Bachelor's degree in Computer Science, AI/ML, Data Science, or related field along with 10 years of experience.
- Minimum of 8 years of experience designing, deploying, and operating AI systems, including agentic systems, with a proven track record delivering production-grade AI architectures.
- Minimum of 4 years of experience in AI and/or data engineering, including data pipelines, distributed systems, and microservice architectures.