Senior AI Engineer

🔥 2 hours ago

⚔️ Virginia – Remote

⚔️ Virginia – Remote

💵 $150k - $190k / year

⏰ Full Time

🟠 Senior

🤖 AI Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

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Credence

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

💼 Consulting

🎖️ Defense

🏥 Healthcare

Consulting • Defense • Healthcare

Credence is a national-security focused technology and services company that combines human expertise and production-scale AI agents to support U. S. defense, intelligence, and foreign assistance missions. It delivers AI, data, cloud, enterprise modernization, and cybersecurity solutions at high assurance (up to IL-6), manages large-scale agent deployments and transactions, and executes through government contract vehicles to modernize mission-critical systems and accelerate operational outcomes.

📋 Description

• 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, and Dataproc; integrate streaming via Pub/Sub • Containerize and orchestrate workloads with Cloud Run and GKE • Automate CI/CD with Cloud Build and infrastructure as code • Implement MLOps practices including experiment tracking, evaluation, bias/robustness testing, model versioning, canary/blue-green rollouts, automated retraining, drift detection, and lineage • Apply secure-by-design patterns aligned to NIST 800-53, RMF, and FedRAMP baselines • Operationalize LLM/GenAI using RAG, tool-use/agents, safety filters, evaluation harnesses, and structured/unstructured data retrieval • Partner with mission stakeholders to elicit requirements, define measurable success criteria, and deliver iterative value • Provide technical mentorship and lead design and code reviews • Contribute to program roadmaps and document architectures, controls, and SOPs for sustained operations

🎯 Requirements

• 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 preferred but not required • 8+ years total software development/data experience with 5+ years focused on AI/ML engineering and MLOps, including production deployments on Google Cloud (GCP) • Experience architecting data ingestion, processing, and transformation workflows using Dataflow, Data Fusion, Dataproc, BigQuery, and Looker, integrated with Vertex AI • Current Google Associate Cloud Engineer (GCP-ACE) or Google Professional Cloud Architect (GCP-PCA) certification, or ability to obtain within 90 days of hire • At least one current DoW Cyber Baseline Certification, such as Security+ Intermediate or SecurityX/CASP+ Advanced, or ability to obtain within 90 days of hire • Experience extracting data from SAP Enterprise Business Applications • Expert Python and/or Go/TypeScript skills for AI services • Strong knowledge of Vertex AI, BigQuery, Dataflow and/or Data Fusion, GKE/Cloud Run, Cloud Build, Cloud Storage, and Pub/Sub • Practical experience with LLMs/GenAI, vector databases, prompt engineering, RAG patterns, and evaluation/guardrails • Proven MLOps experience and strong data engineering fundamentals • Ability to design for security and compliance in DoW/Federal contexts, including NIST 800-53, RMF, FedRAMP, and Zero Trust principles • Hands-on experience with Vertex AI Agent Builder, Model Garden, embeddings/vector search, and evaluation frameworks • Experience integrating GenAI safely within IL5 environments and familiarity with government AI platforms

🏖️ 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