Credence · 5 hours ago
Senior Google AI Engineer
McLean, VA
Full-time
Hybrid
Senior Level, Lead/Staff
8+ years expCredence is a leading provider of AI, cloud, cyber, and modernization solutions recognized for its innovative approach and commitment to positive change. They are seeking a Senior Google AI Engineer to design, build, and operationalize production-grade AI systems on Google Cloud for Defense programs, ensuring compliance with security requirements and guiding engineering teams in delivering scalable AI/ML solutions.
GovTechInformation TechnologySoftware
No H1B
Security Clearance RequiredU.S. Citizen OnlyHiring Manager
Messaye K.
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 operation
Qualification
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
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
Company
Credence
Credence provides innovative technology, health, engineering, and management solutions to support mission-critical programs for Federal government customers.
1001-5000 employees
Funding
Current Stage
Late StageLeadership Team
Sid Chowdhary
Founder & Chief Executive Officer (CEO)
Recent News
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