Senior Google AI Engineer jobs in United States
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Credence · 4 hours ago

Senior Google AI Engineer

Credence is a company focused on innovative AI, cloud, cyber, and modernization solutions that serve various agencies. They are seeking a Senior Google AI Engineer to design, build, and operationalize production-grade AI systems on Google Cloud, supporting Defense programs and ensuring compliance with security requirements.

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Growth Opportunities
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Hiring Manager
Janna Way, CASR
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Responsibilities

Architect & 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 DoD‑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

Qualification

Google Cloud Platform (GCP)MLOpsAI/ML solution developmentPythonVertex AIBigQueryDataflowCloud RunCloud BuildData engineeringGoTypeScriptLLMs/GenAISecurity & complianceTechnical mentorship

Required

US citizenship with the ability to obtain successful DoD secret security clearance required
Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, or a related technical field
8+ years total software development/data experience with 5+ years focused on AI/ML engineering and MLOps, including production deployments on Google Cloud (GCP)
Expert in Python (and/or Go/TypeScript) for AI services; strong with Vertex AI, BigQuery, Dataflow, 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 DoD/Federal contexts (NIST 800-53, RMF, FedRAMP; Zero Trust principles)
Hands-on with Vertex AI Agent Builder, Model Garden, embeddings/vector search (e.g., BigQuery Vector, AlloyDB AI), and evaluation frameworks
Experience integrating GenAI safely within IL-5 environments and familiarity with available government AI platforms

Preferred

Candidates with active secret clearance preferred
Advanced degree (Master's 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

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

Company

Credence

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Credence provides innovative technology, health, engineering, and management solutions to support mission-critical programs for Federal government customers.

Funding

Current Stage
Late Stage

Leadership Team

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Sid Chowdhary
Founder & Chief Executive Officer (CEO)
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Company data provided by crunchbase