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Precise Software Solutions, Inc.
Precise Software Solutions, Inc.
51 – 200 Employees
Artificial IntelligenceB2BGovernment
Precise Software Solutions, Inc. is a government-focused IT services company founded in 2003. Its team supports federal, state, and local agencies with secure, scalable technology programs spanning cloud solutions, data and analytics, application modernization, digital experience design, mission enablement, and artificial intelligence and machine learning. Through contract-based work for public-sector customers, the company focuses on improving citizen engagement, interoperability, and mission performance, while emphasizing strong culture and leadership.
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Lead AI Engineer / Architect – Government AI (Washington, DC Hybrid)

Lead secure Generative AI, LLM, RAG, and agentic solutions for government customers. Own federal AI governance, security, ATO delivery, and Responsible AI implementation.

USUnited StatesWAWashingtonHybridFull-timeSeniorEnglish RequiredAI EngineerMachine Learning Engineer
AWSAzureCloudKubernetes

Description

  • Act as the Senior Forward Deployed Engineer and enterprise technical authority for the Government’s Enterprise AI Solution Delivery and Support Services program
  • Direct architecture, design, integration, deployment, and technical oversight for Generative AI, LLM, RAG, agentic, and AI-enabled automation solutions
  • Design agentic and multi-agent workflows, including full-stack components built with the Model Context Protocol (MCP)
  • Implement the Government’s AI agent security framework using OWASP Top 10 for LLM Applications, NIST AI RMF, defined autonomy limits, and human oversight
  • Establish engineering standards, reusable architecture patterns, and delivery methods across supported agencies
  • Record key architecture decisions for Government approval, covering cloud AI platforms, data flows, integrations, encryption, access controls, fallback processes, and technical debt
  • Provide hands-on leadership across development, integration, testing, deployment, troubleshooting, technical reviews, and release readiness
  • Ensure solutions rely on Government-provided tools and environments or open, standards-based technologies
  • Prepare Model/Service Approval Requests before integrating models or AI services
  • Lead the Authority to Operate (ATO) process under the NIST Risk Management Framework (SP 800-37)
  • Manage security boundaries, FISMA Moderate categorization, ATO documentation, package submission, and maintenance of a current ATO or Interim ATO
  • Oversee AI security controls and testing, including defenses against prompt injection, jailbreaks, and data poisoning, as well as red teaming, Zero Trust architecture, and the AI Incident Response Plan
  • Direct AI data architecture, model evaluation, MLOps, and operational readiness activities
  • Track model drift, retrieval quality, and security and compliance telemetry
  • Lead Responsible AI work, including RAIAs, model cards, bias and fairness assessments, explainability records, and human-in-the-loop controls
  • Conduct quarterly AI governance reviews with customer stakeholders
  • Provide Tier 3 production support, including after-hours escalation for critical incidents
  • Own the Task Order Management Plan, AI System Architecture Design Documents, AI Governance and Responsible AI Reports, RAIA packages, AI Incident Response Plan, and weekly AI efficiency and cost-savings metrics
  • Mentor engineers, manage code and prompt reviews, and personally assess AI-generated code before deployment
  • Counsel Government leaders on AI use-case feasibility, roadmaps, emerging technologies, and value measurement
  • Present technical decisions to both technical and non-technical audiences

Requirements

  • Bachelor’s degree in engineering, computer science, systems, or a related field
  • At least seven years of relevant experience, including seven years of hands-on AI/ML engineering, enterprise architecture, cloud engineering, data engineering, or software engineering delivering AI-enabled systems
  • At least two years of hands-on experience with Generative AI, LLM integration, RAG, model evaluation, agentic AI, or production AI systems
  • Proven ability to architect and deliver secure enterprise or federal AI solutions
  • Experience with AI architecture, cloud AI platforms, APIs, data pipelines, MCP, vector databases, AI orchestration, model evaluation, and MLOps
  • Experience designing AI solutions in FedRAMP-authorized environments with a Zero Trust security architecture
  • Experience with AI security and adversarial testing, including prompt injection, jailbreak, data poisoning, and red teaming
  • Knowledge of Responsible AI, AI governance, privacy, and federal compliance requirements
  • Experience delivering technology aligned with Section 508 and WCAG 2.1 A and AA
  • Experience leading technical teams and advising Government or enterprise stakeholders
  • At least one current Generative AI or Machine Learning certification, such as Microsoft Azure AI, AWS Generative AI/ML, Google Cloud, Databricks Generative AI Engineer, Snowflake SnowPro, NVIDIA Generative AI, Certified Artificial Intelligence Practitioner (CAIP), or an equivalent credential
  • U.S. citizenship or lawful permanent resident status is required
  • Residence in the Washington, DC metropolitan area is required
  • Ability to work on-site at Government offices is required
  • Ability to obtain and maintain a Government background investigation is required
  • Preferred: multiple cloud architecture certifications and Kubernetes (CKA) certification
  • Preferred: experience with Amazon Bedrock and SageMaker, Azure AI Foundry, Google Vertex AI, AWS Cloud AI development services, and open-weight model serving with vLLM or TGI
  • Preferred: familiarity with NIST AI RMF, OMB M-25-21 and M-25-22, OWASP Top 10 for LLM Applications, MITRE ATLAS, CMMI or ISO-based quality processes, and Agile program delivery
  • Preferred: active federal background investigation

Benefits

  • Medical, dental, and vision coverage
  • Flexible Spending Accounts and Health Savings Account
  • Retirement plan with a 4% match and discretionary year-end match
  • 15 days of PTO accrued annually
  • Seven holidays plus three floating holidays
  • Two paid innovation and training days
  • Short- and long-term disability coverage
  • Paid parental leave
  • Paid jury duty leave
  • Life and AD&D insurance
  • Critical illness insurance
  • Training and professional development
  • Wellness incentives and discount programs
  • Employee referral program
  • Annual charity donation matching
  • Awards and recognition

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