Senior Google AI Engineer

Salary: $150,000 - 190,000 per year 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 41 week of 2026