The proven national security AI company. 

[Mission Success = Trusted Human Expertise + Secure Agentic AI] 

Our teams have been embedded in missions that don't allow for failure – across command and control, intelligence, logistics, health, foreign assistance, and space. We learned what works not from a whiteboard, but from doing the work. By combining mission experience with cutting edge technology, we enable customers to move faster, operate smarter, and scale with confidence.  

We are delivering AI at scale, today: 
• 100+ AI agents deployed across secure environments 
• 1M+ users supported 
• 99.99% uptime in operational systems 
• Up to 100x efficiency gains in mission workflows

We build and deploy AI for the mission, where fragmented data, cross-domain environments, and zero-fail requirements are the norms. Our solutions are built on the latest commercial technologies, integrate with existing systems, operate securely, and keep humans in the loop where it matters. 

Our culture is built for impact: high agency, deep accountability, and relentless focus on outcomes over process.  We empower our teams to take ownership, solve hard problems, and deliver results that matter on a global scale. That is why we are recognized as a Top Workplace 6 years in a row, maintain a 90% employee retention rate and a 90% recompete win rate, continuing to earn the trust of customers who choose us again and again.

Want to work in the middle of the action and help our customers solve their most pressing problems? If you want in on the fun, join us! 

Credence

Mission Success = Trusted Human Expertise + Secure Agentic AI

OverviewJoin a team where innovation meets mission. Our AI, cloud, cyber, and modernization solutions save agencies thousands of hours, safeguard national security, and strengthen health and humanitarian missions worldwide. With 1,700+ team members, 1,500+ AI/data experts, and 100+ prime contracts, we deliver at scale and with purpose.We've been recognized as a Top Workplace by the Washington Post for six straight years and named to the Inc. 5000 Fastest Growing Private Companies 13 of the past 14 years. Credence is a welcoming home for those looking to grow and contribute to positive change. We encourage all employees to expand beyond their boundaries, dive into important world-changing Federal challenges.Position SummaryWe have an immediate need for a highly skilled Senior Google AI Engineer. We are growing our Google Cloud AI engineering capability to support our Department of War (DoW) programs. You will design, build, and operationalize production grade AI systems on Google Cloud—accelerating mission outcomes for a high visibility program.As a Senior Google AI Engineer, you will serve as a hands‑on technical leader for AI solution delivery. You'll translate mission needs into secure, scalable AI/ML systems; guide data, platform, and application engineers; and ensure solutions meet DoW security and compliance requirements in production. The ideal candidate combines deep GCP/Looker/BigQuery/Vertex AI expertise with strong MLOps, data engineering fluency, and experience delivering in regulated environments.  Responsibilities include, but are not limited to the duties listed below:Architect and deliver end‑to‑end AI/ML solutions on Google Cloud using Vertex AI (Workbench, Pipelines, Training, Model Registry, Online/Batch Prediction, Feature Store, Model Monitoring) and Gemini/LLM services—optimized for performance, cost, and maintainability. Develop production data pipelines with BigQuery, Dataflow, and Dataproc; integrate streaming via Pub/Sub; containerize and orchestrate with Cloud Run and GKE; automate CI/CD with Cloud Build and IaCImplement robust MLOps (experiment tracking, evaluation, bias/robustness testing, model versioning, canary/blue‑green rollouts, automated retraining, drift detection, and lineage)Apply secure‑by‑design patterns—VPC‑SC, private service access, CMEK, fine‑grained IAM, artifact signing, and secrets management—aligned to NIST 800‑53, RMF, and FedRAMP baselinesOperationalize LLM/GenAI (RAG, tool‑use/agents, safety filters, evaluation harnesses) including retrieval over structured/unstructured data; leverage DoW‑approved AI toolchains where appropriatePartner with mission stakeholders to elicit requirements, frame measurable success criteria, and deliver iterative value; provide technical mentorship and lead design/code reviews for engineering teamsContribute to program roadmaps (including use cases), documenting architectures, controls, and SOPs for sustained operations

Requirements

US citizenship with the ability to obtain successful DoW Secret security clearance required. Candidates with active Secret clearance preferredBachelor's degree in Computer Science, Data Science, Engineering, Mathematics, or a related technical fieldAdvanced degree (Master's Degree or PhD) in AI/ML, Data Science, Computer Science, or a closely related discipline is preferred but not required, especially when balanced with substantial hands‑on experience (5+ years) in AI/ML solution development8+ years total software development/data experience with 5+ years focused on AI/ML engineering and MLOps, including production deployments on Google Cloud (GCP)Proven experience architecting robust data ingestion, processing, and transformation workflows using Dataflow, Data Fusion, Dataproc, BigQuery, and Looker and integrating these platforms with Vertex AI for model training, deployment, and inferenceMust possess a current Google Associate Cloud Engineer (GCP-ACE) or Google Professional Cloud Architect (GCP-PCA) certification or be able to obtain it within 90 days of hire. Must possess at least one current DoW Cyber Baseline Certification (e.g., Security+ Intermediate, SecurityX/CASP+ Advanced) or be able to obtain it within 90 days of hireProven experience with extracting data from SAP Enterprise Business ApplicationsExpert in Python (and/or Go/TypeScript) for AI services; strong with Vertex AI, BigQuery, Dataflow and/or Data Fusion, GKE/Cloud Run, Cloud Build, Cloud Storage, Pub/SubPractical experience with LLMs/GenAI (e.g., Gemini), vector databases, prompt engineering, RAG patterns, and evaluation/guardrailsProven MLOps track record (Pipelines, CI/CD for ML, feature stores, monitoring/drift, automated retraining) and strong data engineering fundamentalsAbility to design for security & compliance in DoW/Federal contexts (NIST 800‑53, RMF, FedRAMP; Zero Trust principles)Hands‑on experience with Vertex AI Agent Builder, Model Garden, embeddings/vector search (e.g., BigQuery Vector, AlloyDB AI), and evaluation frameworksExperience integrating GenAI safely within IL5 environments and familiarity with available government AI platforms



Salary Range: $150,000 - $190,000 annually. Actual compensation will be determined based on the selected candidate's experience, education, certifications, skills, and overall qualifications.

Benefits

Health Care Plan (Medical, Dental & Vision)Retirement Plan (401k, IRA)Life Insurance (Basic, Voluntary & AD&D)Paid Time Off (Vacation, Sick & Public Holidays)Family Leave (Maternity, Paternity)Short Term & Long Term DisabilityTraining & DevelopmentWellness Resources