Overview
Credence is one of the largest privately held technology services companies in the country, repeatedly recognized as a top place to work and ranked on the Inc. 5000 Fastest Growing Private Companies list for the last 12 years. We practice servant leadership and believe that by focusing on the success of our clients, team members, and partners, we all achieve greater success.
At Credence, we support our clients’ mission-critical needs, powered by technology. We deliver cutting-edge solutions—including AI / ML, enterprise modernization, and advanced intelligence capabilities—to the largest federal defense and health organizations. Through partnership and trust, we increase mission success for warfighters and help secure our nation’s future.
Position Summary
Credence has an immediate need for a Senior AI Technical Lead to join our growing AI and Automation practice. In this role, you will design and lead the development of cutting-edge AI solutions that drive real-world impact across federal programs. You will guide cross-functional teams, shape technical strategy, and mentor engineers in a fast-paced, mission-driven environment. The ideal candidate is a hands-on leader with a strong background in AI / ML development, cloud platforms, and enterprise-scale systems design.
Responsibilities include, but are not limited to the duties listed below
- Lead the design, development, and deployment of scalable AI and ML models and systems
- Translate business requirements into technical solutions across multiple federal missions
- Oversee the AI / ML development lifecycle, including architecture design, experimentation, and performance optimization
- Collaborate with cross-functional teams (DevOps, Data Engineering, Cybersecurity) to integrate AI into production environments
- Provide technical mentorship and conduct code / design reviews for junior and mid-level engineers
- Research and evaluate emerging AI / ML tools, technologies, and frameworks to drive innovation
- Ensure all solutions meet federal security, compliance, and cloud architecture standards
Requirements
Master’s degree in AI, Machine Learning, or a related fieldMinimum of 5+ years of hands-on experience in AI / ML solution developmentDemonstrated experience leading AI / ML initiatives or technical teamsStrong understanding of agentic AI including Transformers, Model Context Protocol, Agent2Agent Protocol, LangGraph, and other modern frameworks.Proficiency in Python and Typescript for application development and advanced scripting,Experience deploying AI solutions in AWS, Azure, or GCP environmentsFamiliarity withCI / CD, containerization (Docker, Kubernetes), and DevOps principlesExperience with Agile methodologies and tools (e.g., Git, Jira)Must be a U.S. Citizen and eligible to obtain a DoD Secret clearancePreferred Qualifications
Strong understanding of data engineering and data modeling conceptsExperience with data visualization tools such as Power BI or TableauKnowledge of cybersecurity principles, Zero Trust Architecture, RMF and FedRAMP compliancePrior experience with federal or public sector digital modernization projectsFamiliarity with Lean Six Sigma, ITIL, or service-oriented architecture (SOA) frameworks