Senior Google AI Engineer

Credence; North Dakota; On-site; USD 150,000 - 190,000; Full time

Benefits offered by this job

Health Care Plan

401k/IRA

Life Insurance

Paid Time Off

Family Leave

Disability Insurance

Training & Development

Job summary

Credence is seeking a Senior Google AI Engineer to design, build, and operate production-grade AI systems on Google Cloud for a high-visibility Department of War program. You will translate mission needs into secure, scalable AI/ML solutions and guide data, platform, and application engineers to meet requirements.

The role demands deep GCP/Looker/Vertex AI expertise, strong MLOps, data engineering fluency, and experience delivering in regulated DoD contexts.

Qualifications

• US citizenship with ability to obtain DoW secret clearance.
• Bachelor's degree in Computer Science, Data Science, Engineering, or a related field.
• 5+ years of AI/ML engineering and MLOps experience, with production on Google Cloud.
• Google Associate Cloud Engineer or Professional Cloud Architect certification or ability to obtain in 90 days.
• Must have DoW Cyber Baseline Certification or ability to obtain within 90 days.
• Experience extracting data from SAP Enterprise Applications.
• Proficiency in Python and/or Go/TypeScript for AI services.
• Hands-on with LLMs/GenAI, vector databases, RAG, evaluation and guardrails.

Responsibilities

• Architect and deliver end-to-end AI/ML solutions on Google Cloud using Vertex AI and Gemini/LLM services.
• Develop production data pipelines with BigQuery, Dataflow, Dataproc; integrate Pub/Sub; containerize with Cloud Run and GKE.
• Implement robust MLOps: experiment tracking, eval, bias testing, model versioning, retraining, drift detection.
• Apply secure-by-design patterns: VPC-SC, CMEK, IAM, secrets management per NIST RMF and FedRAMP.
• Operationalize LLM/GenAI with RAG, tool-use, safety filters and evaluation harnesses.
• Partner with mission stakeholders to elicit requirements, drive measurable value, and mentor engineers.
• Contribute to program roadmaps, architectures, controls and SOPs for sustained operations.

Skills

Python

Go

TypeScript

MLOps

Vertex AI

BigQuery

Data engineering

Cloud security

Education

Bachelors in CS/Engineering

Advanced degree preferred

Tools

Vertex AI

BigQuery

Dataflow

Dataproc

Looker

GKE/Cloud Run

Cloud Build

Pub/Sub

Job description

Overview

Join a team where innovation meets mission. Our AI, cloud, cyber, and modernization solutions save agencies thousands of hours, safeguard national security, and strengthen health and humanitarian missions worldwide. With 1,700+ team members, 1,500+ AI/data experts, and 100+ prime contracts, we deliver at scale and with purpose.

We’ve been recognized as a Top Workplace by the Washington Post for six straight years and named to the Inc. 5000 Fastest Growing Private Companies 13 of the past 14 years. Credence is a welcoming home for those looking to grow and contribute to positive change. We encourage all employees to expand beyond their boundaries, dive into important world-changing Federal challenges.

Position Summary

We have an immediate need for a highly skilled Senior Google AI Engineer. We are growing our Google Cloud AI engineering capability to support our Department of War (DoW) programs. You will design, build, and operationalize production grade AI systems on Google Cloud—accelerating mission outcomes for a high visibility program.

As aSenior Google AI Engineer, you will serve as a hands‑on technical leader for AI solution delivery. You’ll translate mission needs into secure, scalable AI/ML systems; guide data, platform, and application engineers; and ensure solutions meet DoW security and compliance requirements in production. The ideal candidate combines deep GCP/Looker/BigQuery/Vertex AI expertise with strong MLOps, data engineering fluency, and experience delivering in regulated environments.

Responsibilities include, but are not limited to the duties listed below:

• Architect and deliverend‑to‑end AI/ML solutions onGoogle CloudusingVertex AI(Workbench, Pipelines, Training, Model Registry, Online/Batch Prediction, Feature Store, Model Monitoring) andGemini/LLM services—optimized for performance, cost, and maintainability.
• Develop production data pipelineswithBigQuery,Dataflow, andDataproc; integrate streaming viaPub/Sub; containerize and orchestrate withCloud RunandGKE; automate CI/CD withCloud Buildand 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 toNIST 800‑53,RMF, andFedRAMPbaselines.
• Operationalize LLM/GenAI(RAG, tool‑use/agents, safety filters, evaluation harnesses) including retrieval over structured/unstructured data; leverage DoW‑approved AI toolchains where appropriate.
• Partner with mission stakeholdersto 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.

• US citizenship with the ability to obtain successful DoW Secret security clearance required. Candidates with active Secret clearance preferred.
• Bachelor’s degree in Computer Science, Data Science, Engineering, Mathematics, or a related technical field.
• Advanced degree (Master's Degree 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.
• 8+ yearstotal software development/data experience with5+ yearsfocused on AI/ML engineering and MLOps, including production deployments onGoogle Cloud (GCP).
• Proven experience architecting robust data ingestion, processing, and transformation workflows using Dataflow, Data Fusion, Dataproc, BigQuery, and Looker and integrating these platforms with Vertex AI for model training, deployment, and inference.
• Must possess a current Google Associate Cloud Engineer (GCP-ACE) or Google Professional Cloud Architect (GCP-PCA) certification or be able to obtain it within 90 days of hire.
• Must possess at least one current DoW Cyber Baseline Certification (e.g., Security+ Intermediate, SecurityX/CASP+ Advanced) or be able to obtain it within 90 days of hire.
• Proven experience with extracting data from SAP Enterprise Business Applications.
• Expert inPython(and/orGo/TypeScript) for AI services; strong withVertex AI,BigQuery,Dataflow and/or Data Fusion,GKE/Cloud Run,Cloud Build,Cloud Storage,Pub/Sub.
• Practical experience withLLMs/GenAI(e.g.,Gemini), vector databases, prompt engineering, RAG patterns, and evaluation/guardrails.
• ProvenMLOpstrack record (Pipelines, CI/CD for ML, feature stores, monitoring/drift, automated retraining) and strongdata engineeringfundamentals.
• Ability to design forsecurity & compliancein DoW/Federal contexts (NIST 800‑53, RMF, FedRAMP; Zero Trust principles).
• Hands‑on experience withVertex AI Agent Builder,Model Garden, embeddings/vector search (e.g., BigQuery Vector, AlloyDB AI), and evaluation frameworks.
• Experience integrating GenAI safely withinIL5environments and familiarity with available government AI platforms.

Salary Range: $150,000 - $190,000 annually. Actual compensation will be determined based on the selected candidate's experience, education, certifications, skills, and overall qualifications.

• 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