Noblis

AI Solutions Lead IV

Noblis$160K — $251K *
Information Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • US Citizenship is required
  • Active Top Secret (TS) clearance with eligibility for Sensitive Compartmented Information (SCI)
  • Bachelor's degree in Computer Science, AI/ML, Data Science, or related field with 10 years of experience
  • 8 years of experience designing, deploying, and operating AI systems
  • Deep expertise in Python, agent frameworks, and cloud services
  • Strong understanding of modern AI architectures and orchestration layers

Responsibilities

  • Define the overall system architecture and standards for enterprise AI systems
  • Lead platform and model integration across major cloud services
  • Architect agentic workflows for orchestrating queries across data sources
  • Design and deploy LLM-based systems with evaluation and reliability mechanisms
  • Guide engineering and data teams through AI project delivery
  • Evaluate emerging AI technologies for optimal technology stack recommendations
  • Communicate architectural decisions and strategies to stakeholders

Benefits

  • Health, life, and disability insurance
  • Financial and retirement benefits
  • Paid leave
  • Professional development and tuition assistance
  • Work-life balance programs
Full Job Description
Responsibilities 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: 3Defines 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. 3Leads platform and model integration across cloud services (Azure, AWS, or GCP), APIs, vector databases, orchestration frameworks, embeddings, vector search, memory, and reasoning workflows. 3Architects multistep, agentic workflows involving retrieval-augmented generation (RAG), tool-calling, multi-agent orchestration, and automated reasoning loops to orchestrate queries across heterogeneous data sources. 3Designs and deploys LLM-based systems including prompt strategy management, model evaluation, and system traceability and reliability mechanisms. 3Guides engineering and data teams through delivery from prototype to production, translating project requirements into extensible AI architectures and ensuring alignment across cross-functional teams. 3Evaluates emerging AI technologies to recommend optimal technology stacks, balancing innovation with enterprise stability and governance requirements. 3Ensures rigorous system scalability, security, and governance by applying responsible AI principles and enterprise security frameworks throughout the architecture lifecycle. 3Communicates architectural decisions, trade-offs, and technical strategies to executives and technical stakeholders. Required Qualifications 3US Citizenship is required 3Active Top Secret (TS) clearance with eligibility for Sensitive Compartmented Information (SCI) and ability to obtain a Counterintelligence (CI) Polygraph. 3Bachelor's degree in Computer Science, AI/ML, Data Science, or related field along with 10 years of experience. 3Minimum of 8 years of experience designing, deploying, and operating AI systems, including agentic systems, with a proven track record delivering production-grade AI architectures. 3Minimum of 4 years of experience in AI and/or data engineering, including data pipelines, distributed systems, and microservice architectures. 3Deep expertise in Python, agent frameworks (such as LangChain, LlamaIndex, or equivalent), API design, backend engineering, vector databases, SQL engines, and cloud services. Demonstrated experience designing and deploying LLM-based systems, including RAG, tool-calling, and multi-agent patterns, with proven ability to evaluate models, manage prompt strategies, and design systems for traceability and reliability. 3Strong understanding of modern AI architectures including embeddings, vector search, orchestration layers, memory, and reasoning workflows. 3Working knowledge of DevOps tools and principles, including MLOps and platform engineering practices. Demonstrated leadership in cross-functional teams, guiding engineering and data teams through complex technical delivery. Desired Qualifications 3Active TS/SCI with CI Polygraph 3Master's OR PhD degree 3 Experience with Model Context Protocol (MCP) for standardized tool-calling and agent interoperability Overview Overview Noblis and our wholly owned subsidiaries, Noblis ESI and Noblis MSD, take on some of the nation's toughest challenges, delivering advanced solutions to our customers' most critical missions. We bring together leading scientific, engineering, and management expertise in a culture grounded in objectivity and collaboration, ensuring our work creates lasting impact across federal missions. We work with a broad range of government agencies in the defense, intelligence, and federal civilian sectors. Learn more and find opportunities at careers.noblis.org Remote/hybrid status is subject to change based on Noblis and/or government requirements. Total Rewards At Noblis we recognize and reward your contributions, provide you with growth opportunities, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, and work-life programs. Our award programs acknowledge employees for exceptional performance and superior demonstration of our service standards. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in our benefit programs. Other offerings may be provided for employees not within this category. We encourage you to learn more about our total benefits by visiting the Benefits page on our Careers site. Compensation at Noblis is determined by various factors, including but not limited to, the combination of education, certifications, knowledge, skills, competencies, and experience, internal and external equity, location, clearance level, as well as contract-specific affordability, organizational requirements and applicable employment laws. The projected compensation range for this position is based on full time status. For part time or on-call staff, compensation is proportionately adjusted based on hours worked. While monetary compensation is important, it's just one component of Noblis' total compensation package. Posted Salary Range USD $160,800.00 - USD $251,325.00 /Yr.

About Noblis

Noblis is an American not-for-profit science, technology, and strategy organization that provides technical and advisory services to federal government clients. Noblis works in the areas of national security, intelligence, transportation, healthcare, environmental sustainability, and enterprise transformation. Noblis was created in 1996 when Mitretek Systems Inc. was split into two separate entities. The other entity became known as Noblis ESI. Noblis has been recognized as one of the best places to work in the Washington, D.C. area by the Washington Business Journal and the Washingtonian.
Learn more about Noblis
Size
1,500 employees
Industry
Founded
1996

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