Senior Google Cloud AI Engineer — Mission-Critical ML Leader

Credence; United States; On-site; USD 150,000 - 230,000; Full time

Job summary

Credence is seeking a Senior Google AI Engineer to build and operationalize production‑grade AI systems on Google Cloud for DoW programs. You will design, implement, and scale AI/ML solutions that meet stringent security and compliance requirements in a high‑visibility environment.

You will mentor engineers, drive MLOps practices, and partner with stakeholders to deliver measurable mission outcomes while navigating regulated frameworks and modern cloud tooling.

Qualifications

• Hands-on design and delivery of AI/ML solutions on Google Cloud.
• Experience translating mission needs into secure, scalable systems.
• Strong background in data pipelines, ML tooling, and regulated environments.

Responsibilities

• Architect and deliver end-to-end AI/ML solutions on Google Cloud using Vertex AI and LLM services, optimized for performance and cost.
• Develop production data pipelines with BigQuery, Dataflow, and Dataproc; integrate streaming via Pub/Sub; containerize with Cloud Run and orchestrate with GKE; automate CI/CD with Cloud Build and IaC.
• Implement robust MLOps practices including experiment tracking, evaluation, bias testing, versioning, canary/blue-green rollouts, automated retraining, drift detection, and lineage.
• Apply secure-by-design patterns (VPC-SC, private service access, CMEK, IAM, artifact signing, secrets management) aligned to NIST 800-53, RMF, and FedRAMP baselines.
• Operationalize LLM/GenAI including retrieval over structured/unstructured data; leverage DoW-approved AI toolchains where appropriate.
• Partner with mission stakeholders to elicit requirements, define measurable success, and deliver iterative value; provide mentorship and lead design/code reviews for engineering teams.
• Contribute to program roadmaps (use cases), document architectures, controls, and SOPs for sustained operations.

Skills

MLOps

Data engineering

Technical leadership

Security & compliance

Tools

Google Cloud Platform (GCP)

Vertex AI

BigQuery

Dataflow

Dataproc

Pub/Sub

Cloud Run

GKE

Cloud Build

Job description

Credence is seeking a Senior Google AI Engineer to build and operationalize production‑grade AI systems on Google Cloud for DoW programs. You will design, implement, and scale AI/ML solutions that meet stringent security and compliance requirements in a high‑visibility environment.

You will mentor engineers, drive MLOps practices, and partner with stakeholders to deliver measurable mission outcomes while navigating regulated frameworks and modern cloud tooling.