Senior AI Engineer
Location
Virginia
Posted
15 days ago
Salary
Not specified
Job Description
Job Requirements
- US citizenship with the ability to obtain successful DoD 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+ years total software development/data experience with 5+ years focused on AI/ML engineering and MLOps, including production deployments on Google 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 DoD 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 in Python (and/or Go/TypeScript) for AI services; strong with Vertex AI, BigQuery, Dataflow and/or Data Fusion, 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 experience with Vertex AI Agent Builder, Model Garden, embeddings/vector search (e.g., BigQuery Vector, AlloyDB AI), and evaluation frameworks.
- Experience integrating GenAI safely within IL5 environments and familiarity with available 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
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