Today
Secret
Unspecified
Unspecified
McLean, VA (On-Site/Office)
Overview
Credence is one of the largest privately held technology services firms in the U.S., consistently recognized as a Top Workplace and featured on the Inc. 5000 Fastest-Growing Private Companies list for 12 consecutive years. We serve the largest defense and health agencies with mission-critical AI/ML, enterprise modernization, and advanced intelligence solutions. Our commitment to servant leadership, innovation, and continuous learning helps our people-and our clients-succeed.
Position Summary
Credence has an immediate need for a Mid-Level AI Engineer to join our growing AI and Automation practice. You will be a technical anchor in our AI and Automation practice. You'll apply foundational AI/ML skills to build and deploy data-driven solutions. Under mentorship from senior AI leaders, you'll drive model development lifecycles and collaborate across engineering, data, and stakeholder teams to deliver high-impact, cloud-native AI capabilities that advance federal missions.
Responsibilities include, but are not limited to the duties listed below
Requirements
What You Bring
Preferred
Why This Role Matters
Credence is one of the largest privately held technology services firms in the U.S., consistently recognized as a Top Workplace and featured on the Inc. 5000 Fastest-Growing Private Companies list for 12 consecutive years. We serve the largest defense and health agencies with mission-critical AI/ML, enterprise modernization, and advanced intelligence solutions. Our commitment to servant leadership, innovation, and continuous learning helps our people-and our clients-succeed.
Position Summary
Credence has an immediate need for a Mid-Level AI Engineer to join our growing AI and Automation practice. You will be a technical anchor in our AI and Automation practice. You'll apply foundational AI/ML skills to build and deploy data-driven solutions. Under mentorship from senior AI leaders, you'll drive model development lifecycles and collaborate across engineering, data, and stakeholder teams to deliver high-impact, cloud-native AI capabilities that advance federal missions.
Responsibilities include, but are not limited to the duties listed below
- AI Model Development & Integration
Support end-to-end AI development: data prep, feature engineering, model training, evaluation, and integration into production pipelines. - Collaborative Engineering
Work alongside data engineers, software engineers, and data scientists to embed AI into scalable systems and applications. - Cloud & MLOps Enablement
Help automate model deployment workflows using Infrastructure as Code (IaC), CI/CD pipelines, and container orchestration tools. - Generative AI & LLM Usage
Contribute to projects using generative AI and LLMs, helping to prototype, customize, and refine models. - Production Monitoring & Optimization
Monitor AI systems post-deployment, perform performance tuning, and apply best practices for reliability and scalability. - Technical Rigor & Documentation
Write clean, well-documented code following industry and federal guidelines; support reproducible development. - Professional Growth
Stay current on AI/ML trends and tools, and actively learn from senior team members through mentorship and technical design reviews.
Requirements
What You Bring
- Bachelor's or Master's in Computer Science, AI/ML, Data Science, or a related field.
- 3-5 years of hands-on experience delivering AI/ML solutions.
- Familiarity with OpenAI, Claude Sonnet, Claude Opus, and other AI engines.
- Strong Python proficiency and familiarity with AI/ML libraries (e.g., TensorFlow, PyTorch, scikit-learn).
- Understanding of supervised and unsupervised learning techniques.
- Experience working with cloud platforms (AWS, Azure, or GCP) and container tools (Docker, Kubernetes).
- Familiarity with CI/CD pipelines and basic MLOps workflows.
- Experience or interest in generative AI and working with LLMs.
- Experience with VS Code and AI extensions like Cline and Claude Code, in addition to QDeveloper.
- Strong communication skills and client-oriented mindset.
- U.S. Citizenship with eligibility for DoD Secret clearance.
Preferred
- Experience with Bedrock, Strands, Q Developer, Kiro, AgentCore Gateway.
- Exposure to AWS Serverless technologies including ones that enable Event based architecture (important for Agentic AI systems).
- Experience with IaC tools (AWS CDK, Terraform, CloudFormation) or model monitoring tools.
- Exposure to data engineering concepts or data pipeline optimization.
- Knowledge of federal cybersecurity, RMF, FedRAMP, or regulatory frameworks.
- Knowledge of MCP servers and how they can be used for re-usable archetypes between teams.
Why This Role Matters
- Real-World Impact - Your work will support defense and health agencies where AI solutions directly contribute to national security and public well-being.
- Growth-Oriented Environment - Learn from technical leaders, expand into LLM and generative AI, and build expertise in cloud-first MLOps.
- Culture of Empowerment - You'll be part of a team that values innovation, trust, collaboration, and mission success.
group id: 10526121
