Job description

AI Engineer 1 Job ID#:26-1116 Clearance: Top Secret with SCI eligibility Location: DC Metro Who We Are : Since our inception back in 2006, Navitas has grown to be an industry leader in the digital transformation space, and we’ve served as trusted advisors supporting our client base within the commercial, federal, and state and local markets. What We Do : At our very core, we’re a group of problem solvers providing our award-winning technology solutions to drive digital acceleration for our customers! With proven solutions, award-winning technologies, and a team of expert problem solvers, Navitas has consistently empowered customers to use technology as a competitive advantage and deliver cutting-edge transformative solutions. What You’ll Do : The AI Engineer 1 supports the design, development, and governance of Artificial Intelligence (AI) and Machine Learning (ML) architectures supporting enterprise modernization initiatives. This role contributes to AI architecture development, model governance, data pipeline engineering, and agentic AI capabilities while ensuring alignment with enterprise architecture standards and governance requirements. Responsibilities will include but are not limited to: • Support the design and implementation of AI/ML architectures and cloud-based data pipelines. • Develop AI model governance frameworks, monitoring processes, and lifecycle management capabilities. • Design and implement agentic AI architectures, including multi-agent orchestration frameworks and autonomous workflow solutions. • Develop retrieval-augmented generation (RAG) architectures and vector database integrations. • Support explainability, bias detection, model performance monitoring, and drift management activities. • Collaborate with enterprise architects and engineering teams to integrate AI technologies into enterprise platforms. • Support architecture governance reviews and technical assessments. • Document AI architecture designs, standards, and implementation guidance. What You’ll Need : • Active Top Secret (TS) security clearance with SCI eligibility. • Bachelor’s degree in Computer Science, Engineering, Data Science, or related field, Master preferred • 3+ years of experience supporting AI/ML engineering or solution development. • Experience with cloud platforms such as AWS, Azure, or Google Cloud. • Experience with Python, machine learning frameworks, and API development. • Understanding of AI governance, model lifecycle management, and data architecture concepts. • Must be DOW 8140 certified • Ability to obtain and maintain required Top Secret government security clearance. Set Yourself Apart With : • Master’s degree in Computer Science, Engineering, Information Technology, or related discipline. • Experience supporting DoD or Intelligence Community environments. • AWS or Azure AI/ML specialty certification • Experience with large language models (LLMs), RAG, and vector databases. • Knowledge of MLOps tools and AI observability platforms. • Familiarity with NIST AI Risk Management Framework and DoD AI guidance. Salary Range: $120k - $135k The salary range listed reflects our standard market pay structure. Final compensation will be determined based on multiple factors, including, but not limited to, the candidate’s unique qualifications, skills required for the position, professional experience, education, and business needs, at the time of hire. Equal Employer/Veterans/Disabled Navitas Business Consulting is an affirmative action and equal opportunity employer. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact Navitas Human Resources. Navitas is an equal opportunity employer. We provide employment and opportunities for advancement, compensation, training, and growth according to individual merit, without regard to race, color, religion, sex (including pregnancy), national origin, sexual orientation, gender identity or expression, marital status, age, genetic information, disability, veteran-status veteran or military status, or any other characteristic protected under applicable Federal, state, or local law. Our goal is for each staff member to have the opportunity to grow to the limits of their abilities and to achieve personal and organizational objectives. We will support positive programs for equal treatment of all staff and full utilization of all qualified employees at all levels within Navitas.

Requirements

Must-haves

AI Engineer 1
Job ID#:26-1116
Clearance: Top Secret with SCI eligibility
Location: DC Metro
Responsibilities will include but are not limited to: • Support the design and implementation of AI/ML architectures and cloud-based data pipelines.
Develop AI model governance frameworks, monitoring processes, and lifecycle management capabilities.
Design and implement agentic AI architectures, including multi-agent orchestration frameworks and autonomous workflow solutions.
Develop retrieval-augmented generation (RAG) architectures and vector database integrations.
Support explainability, bias detection, model performance monitoring, and drift management activities.
Collaborate with enterprise architects and engineering teams to integrate AI technologies into enterprise platforms.
Support architecture governance reviews and technical assessments.
Document AI architecture designs, standards, and implementation guidance.
What You’ll Need : • Active Top Secret (TS) security clearance with SCI eligibility.
3+ years of experience supporting AI/ML engineering or solution development.
Experience with cloud platforms such as AWS, Azure, or Google Cloud.
Experience with Python, machine learning frameworks, and API development.
Understanding of AI governance, model lifecycle management, and data architecture concepts.
Must be DOW 8140 certified
Ability to obtain and maintain required Top Secret government security clearance.
Set Yourself Apart With : • Master’s degree in Computer Science, Engineering, Information Technology, or related discipline.
Experience supporting DoD or Intelligence Community environments.
AWS or Azure AI/ML specialty certification
Experience with large language models (LLMs), RAG, and vector databases.

Nice-to-haves

Bachelor’s degree in Computer Science, Engineering, Data Science, or related field, Master preferred

Application prep

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Keywords to mirror

aimachine learningmlawsazurepythonapi

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