jazzhr
Senior AL/ML Data Scientist - AI, Vector Search & Agentic AI Platforms
Red Arch Solutions
Reston, USA
Full-time
Senior Level
Onsite
USD 275000-330000 yearly
Discovered 1 weeks ago
Free
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Key Responsibilities
- Enterprise AI Platform Engineering : Architect, build, and maintain enterprise-scale data platforms supporting vector databases, semantic search, Retrieval-Augmented Generation (RAG), Agentic AI systems, and large language model applications.
- Data Architecture & Strategy : Establish and implement controls for data quality, lineage, source attribution, prompt and context traceability, explainability, and evaluation of AI system outputs .
- AI Data Governance: Establish and implement controls for data quality, lineage, source attribution, prompt and context traceability, explainability, and evaluation of AI system outputs.
- Technical Leadership : Lead architectural decision-making for AI-supporting data infrastructure, balancing performance, scalability, security, reliability, maintainability, and cost considerations.
- Cross-Functional Integration : Partner with Data Scientists, Machine Learning Engineers, Architects, Cybersecurity teams, and Software Engineers to translate AI requirements into production-grade capabilities.
- Executive Communication: Translate highly technical AI, machine learning, and data architecture concepts into clear operational impacts, risks, opportunities, and implementation considerations for senior leadership.
- Enterprise Coordination: Coordinate with stakeholders across multiple organizations to align AI initiatives, maximize reuse of enterprise capabilities, and eliminate duplication of effort.
- Operational Excellence: Implement monitoring, observability, and alerting to ensure the reliability, performance, and continuous improvement of AI-supporting data platforms.
- Mentorship & Engineering Excellence: Provide technical leadership and mentorship to engineers while promoting engineering best practices and innovation across the organization.
- Technology Evaluation: Assess emerging AI technologies, vector database platforms, retrieval frameworks, and engineering approaches to improve organizational AI capabilities.
Required Qualifications
- Clearance: Active, current Top Secret / SCI with Polygraph is mandatory .
- Education: Bachelor’s degree in computer science, Engineering, Mathematics, Data Science, or a related quantitative discipline. Equivalent experience may be considered.
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