Overview
Join 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 Summary
We 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 IaC.
- Implement 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 baselines.
- Operationalize LLM/GenAI (RAG, tool‑use/agents, safety filters, evaluation harnesses) including retrieval over structured/unstructured data; leverage DoW‑approved AI toolchains where appropriate.
- Partner with mission stakeholders to elicit requirements, frame measurable success criteria, and deliver iterative value; provide technical mentorship and lead design/code reviews for engineering teams.
- Contribute 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 preferred.
- Bachelor’s degree in Computer Science, Data Science, Engineering, Mathematics, or a related technical field.
- Advanced 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 development.
- 8+ 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 inference.
- Must 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 hire.
- Proven experience with extracting data from SAP Enterprise Business Applications.
- Expert 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/Sub.
- Practical experience with LLMs/GenAI (e.g., Gemini), vector databases, prompt engineering, RAG patterns, and evaluation/guardrails.
- Proven MLOps track record (Pipelines, CI/CD for ML, feature stores, monitoring/drift, automated retraining) and strong data engineering fundamentals.
- Ability 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 frameworks.
- Experience 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 Disability
- Training & Development
- Wellness Resources
Skills Required
- US citizenship
- Ability to obtain a Department of War Secret security clearance
- Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, or a related technical field
- 5+ years of hands-on AI/ML solution development experience
- 8+ years of total software development or data experience
- 5+ years focused on AI/ML engineering and MLOps
- Production AI/ML deployments on Google Cloud
- Experience with Dataflow, Data Fusion, Dataproc, BigQuery, Looker, and Vertex AI
- Current Google Associate Cloud Engineer or Google Professional Cloud Architect certification, or ability to obtain within 90 days
- Current Department of War Cyber Baseline Certification, such as Security+ Intermediate or SecurityX/CASP+ Advanced, or ability to obtain within 90 days
- Experience extracting data from SAP Enterprise Business Applications
- Expertise in Python, Go, or TypeScript for AI services
- Experience with Vertex AI, BigQuery, Dataflow or Data Fusion, GKE or Cloud Run, Cloud Build, Cloud Storage, and Pub/Sub
- Practical experience with LLMs or GenAI, vector databases, prompt engineering, RAG, evaluation, and guardrails
- Proven MLOps experience including pipelines, ML CI/CD, feature stores, monitoring, drift detection, and automated retraining
- Ability to design for NIST 800-53, RMF, FedRAMP, and Zero Trust requirements in federal environments
- Hands-on experience with Vertex AI Agent Builder, Model Garden, embeddings, vector search, and evaluation frameworks
- Experience integrating GenAI safely within IL5 environments and familiarity with government AI platforms
- Master's degree or PhD in AI/ML, Data Science, Computer Science, or a related discipline
- Active Secret security clearance
Credence Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Credence and has not been reviewed or approved by Credence.
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Fair & Transparent Compensation — Pay is considered competitive or better than average across many roles, with multiple examples describing excellent pay and competitive salaries. Additional cash elements such as bonuses appear alongside base pay.
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Healthcare Strength — Benefits include comprehensive medical, dental, and vision coverage, supported by HSAs/FSAs and a TRICARE supplement. Employer-paid life and disability coverage further strengthen the protection package.
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Leave & Time Off Breadth — Time off includes flexible PTO and a broad holiday schedule aligned to federal holidays. Additional leave types such as military and bereavement leave are available.
Credence Insights
What We Do
Credence provides innovative technology, health, international development, engineering, and management solutions to support mission-critical programs for Federal government customers. We are one of the nation’s largest privately held government contractors. Our ability to perform exceptionally to implement new solutions, efficiencies, and savings across 220 U.S. Government programs is due to our obsession with exceeding customer expectations and our emphasis on employee wellbeing—best exemplified by our corporate philosophy: “One Measure of Success. Yours.” WHY WORK WITH CREDENCE? We are consistently rated as a Top Workplace and are proud to be one of the fastest growing privately held firms in the U.S. over the last decade. Credence treats each customer, teaming partner, and employee as a trusted partner whom we serve. We ensure successful outcomes by focusing on the measure of success that we consider to be most important—Yours. WHY WORK FOR CREDENCE? We are a diverse, enthusiastic team of professionals who are dedicated to providing exceptional service to our customers. Our culture is focused on employee empowerment, recognition, and reward, and each person is encouraged to take initiative and strive to reach their greatest potential. HOW CREDENCE GIVES BACK: We believe in giving back to the communities in which we live and work through corporate charitable events, support for employee volunteering, and a 100% corporate match for employee charitable giving.
