Senior Google AI Engineer

Requirements:

• U.S. citizenship and ability to obtain a DoW Secret security clearance; an active Secret clearance is preferred.
• Bachelors degree in Computer Science, Data Science, Engineering, Mathematics, or a related technical field.
• A masters degree or PhD in AI/ML, Data Science, Computer Science, or a related discipline is preferred but not required, particularly when paired with substantial hands-on experience.
• At least 8 years of software development or data experience, including 5+ years focused on AI/ML engineering and MLOps, with production deployments on Google Cloud.
• Demonstrated experience designing data ingestion, processing, and transformation workflows with Dataflow, Data Fusion, Dataproc, BigQuery, and Looker, and integrating these with Vertex AI for model training, deployment, and inference.
• Current Google Associate Cloud Engineer (GCP-ACE) or Google Professional Cloud Architect (GCP-PCA) certification, or ability to obtain one within 90 days of hire.
• Current DoW Cyber Baseline Certification, such as Security+ Intermediate or SecurityX/CASP+ Advanced, or ability to obtain one within 90 days of hire.
• Experience extracting data from SAP Enterprise Business Applications.
• Expert Python skills, and/or experience with Go or TypeScript for AI services; strong knowledge of Vertex AI, BigQuery, Dataflow and/or Data Fusion, GKE or Cloud Run, Cloud Build, Cloud Storage, and Pub/Sub.
• Practical experience with LLMs and generative AI, including Gemini, vector databases, prompt engineering, RAG, evaluation, and guardrails.
• Proven MLOps experience spanning pipelines, ML CI/CD, feature stores, monitoring and drift detection, and automated retraining; strong data engineering fundamentals.
• Ability to design secure, compliant solutions for DoW and Federal environments, including knowledge of NIST, RMF, FedRAMP, and Zero Trust principles.
• Hands-on experience with Vertex AI Agent Builder, Model Garden, embeddings and vector search (such as BigQuery Vector or AlloyDB AI), and evaluation frameworks.
• Experience safely integrating generative AI into IL5 environments and familiarity with available government AI platforms.

Responsibilities:

• Architect and deliver end-to-end AI/ML solutions on Google Cloud using Vertex AI and Gemini or other LLM services, optimizing performance, cost, and maintainability.
• Build production data pipelines with BigQuery, Dataflow, and Dataproc; integrate streaming through Pub/Sub; containerize and orchestrate workloads with Cloud Run and GKE; and automate CI/CD using Cloud Build and infrastructure as code.
• Implement MLOps practices, including experiment tracking, evaluation, bias and robustness testing, model versioning, staged rollouts, automated retraining, drift detection, and lineage.
• Apply secure-by-design practices, including VPC Service Controls, private service access, CMEK, fine-grained IAM, artifact signing, and secrets management, aligned with applicable security and compliance baselines.
• Operationalize LLM and generative AI capabilities, including RAG, tool use and agents, safety filters, evaluation harnesses, and retrieval across structured and unstructured data; use DoW-approved AI toolchains where appropriate.
• Work with mission stakeholders to define requirements and measurable success criteria, then deliver value iteratively.
• Mentor technical teams and lead engineering design and code reviews.
• Contribute to program roadmaps and use cases, and document architectures, controls, and standard operating procedures for ongoing operations.

Technologies:

• AI
• Architect
• BigQuery
• CI/CD
• Cloud
• GCP
• IAM
• Support
• LLM
• Looker
• MLOps
• Model Training
• Python
• RAG
• SAP
• Security
• TypeScript

More

We are hiring a Senior Google AI Engineer to expand our Google Cloud AI engineering capability in support of Department of War programs. In this hands-on technical leadership role, you will help turn mission needs into secure, scalable production AI/ML systems and guide data, platform, and application engineers. At Credence, our AI, cloud, cyber, and modernization work supports government agencies and national security, health, and humanitarian missions. Our 1,700+ team members include more than 1,500 AI and data experts, and we hold over 100 prime contracts. We have been recognized as a Washington Post Top Workplace for six consecutive years and named among the Inc. 5000 Fastest Growing Private Companies in 13 of the past 14 years. We offer a salary range of $150,000–$190,000 annually, with compensation based on qualifications, experience, education, and certifications. Benefits include medical, dental, and vision coverage; retirement plans; life and disability insurance; paid time off and family leave; training and development; and wellness resources. We encourage our employees to grow their skills and contribute to meaningful public-sector challenges.

last updated 43 week of 2026