Senior Google AI Engineer
Credence Management Solutions, LLC2 months ago
Remote, United States or McLean, VA, USASenior
Base Salary
$150k - $190k/yr
Responsibilities
- Architect and deliver end-to-end AI/ML systems on Google Cloud using Vertex AI, Gemini, and related model training, deployment, prediction, feature management, and monitoring services.
- Develop production data pipelines with BigQuery, Dataflow, Dataproc, Data Fusion, Pub/Sub, Cloud Run, GKE, Cloud Storage, and Cloud Build.
- Implement MLOps practices including experiment tracking, evaluation, bias and robustness testing, model versioning, rollout strategies, retraining, drift detection, and lineage.
- Apply secure-by-design architecture using VPC Service Controls, private service access, CMEK, IAM, artifact signing, secrets management, and federal security frameworks.
- Operationalize LLM and GenAI solutions using RAG, tool-use and agents, safety filters, evaluation harnesses, structured and unstructured data retrieval, and vector search.
- Partner with mission stakeholders, define measurable success criteria, mentor engineering teams, lead design and code reviews, and contribute to roadmaps, architecture documentation, controls, and SOPs.
Requirements
- US citizenship and the ability to obtain a DoW Secret security clearance are required; an active Secret clearance is preferred.
- Bachelor’s degree in Computer Science, Data Science, Engineering, Mathematics, or a related technical field is required.
- 8+ years of total software development or data experience, including 5+ years focused on AI/ML engineering and MLOps with production Google Cloud deployments.
- Experience architecting data ingestion, processing, and transformation workflows using Dataflow, Data Fusion, Dataproc, BigQuery, Looker, and Vertex AI.
- Current Google Associate Cloud Engineer or Google Professional Cloud Architect certification, or ability to obtain it within 90 days of hire.
- Current DoW Cyber Baseline Certification, such as Security+ Intermediate or SecurityX/CASP+ Advanced, or ability to obtain it within 90 days of hire.
- Experience extracting data from SAP Enterprise Business Applications.
- Expertise in Python and/or Go or TypeScript, with strong experience in Vertex AI, BigQuery, Dataflow or Data Fusion, GKE or Cloud Run, Cloud Build, Cloud Storage, and Pub/Sub.
- Practical experience with LLMs and GenAI, including Gemini, vector databases, prompt engineering, RAG patterns, evaluation, and guardrails.
- Proven MLOps experience with pipelines, ML CI/CD, feature stores, monitoring and drift detection, automated retraining, and strong data engineering fundamentals.
- Ability to design secure and compliant solutions for DoW and federal environments using NIST 800-53, RMF, FedRAMP, and Zero Trust principles.
- Hands-on experience with Vertex AI Agent Builder, Model Garden, embeddings and vector search such as BigQuery Vector and AlloyDB AI, evaluation frameworks, and IL5 GenAI integrations.
- An advanced degree in AI/ML, Data Science, Computer Science, or a related discipline is preferred but not required.
Benefits
- Remote full-time work arrangement.
- Health care plan covering medical, dental, and vision.
- Retirement plan options including 401(k) and IRA.
- Basic, voluntary, and AD&D life insurance.
- Paid vacation, sick leave, and public holidays.
- Maternity and paternity family leave.
- Short-term and long-term disability coverage.
- Training and development opportunities.
- Wellness resources.
Tech Stack
Categories
Data EngineeringML Engineering
About Credence Management Solutions, LLC
Credence Management Solutions, LLC provides IT consulting, engineering, and mission support to U.S. federal agencies, with emphasis on defense, intelligence, health, and humanitarian programs. It builds and operates secure AI, cloud, cyber, and DevSecOps solutions and delivers program management and systems engineering under government contracts. The privately held firm is headquartered in McLean, Virginia, and supports customers such as the U.S. Air Force at Wright-Patterson Air Force Base.