Principal ALML Data Scientist AI, Vector Search & Agentic AI Platforms

• 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.

• Clearance: Active current Top Secret / SCI with Polygraph is mandatory.
• Education: Bachelors degree in computer science Engineering Mathematics Data Science or a related quantitative discipline. Equivalent experience may be considered.
• Experience:
• 20 years of progressive experience in software engineering data engineering distributed systems cloud architecture or AI/ML platform development.
• Proven experience designing and delivering enterprise-scale AI machine learning generative AI or Agentic AI solutions.
• Demonstrated success architecting and implementing production cloud-native data systems supporting advanced analytics and AI workloads.
• Proven experience working within complex enterprise environments managing security infrastructure technology dependencies governance requirements and competing priorities.
• Extensive experience designing data pipelines supporting machine learning models vector databases semantic search capabilities and generative AI applications.
• Proven experience delivering complex technical solutions from strategic requirements through operational deployment while balancing schedule performance capability and cost objectives.

• Technical Expertise

• Expert proficiency in Python SQL and modern software engineering practices.
• Deep experience with Azure AWS or Google Cloud data and AI platforms.
• Strong understanding of distributed systems cloud-native architectures MLOps and AI platform engineering.
• Experience implementing vector databases embedding pipelines retrieval systems and Retrieval-Augmented Generation architectures.
• Experience with CI/CD pipelines orchestration platforms infrastructure automation and observability tooling.

• Communication & Leadership

• Exceptional written and verbal communication skills.
• Ability to communicate complex technical concepts to both technical and non-technical audiences.
• Proven ability to explain AI machine learning and data architecture concepts in terms of mission impact operational outcomes technical risk and implementation tradeoffs.
• Experience influencing decisions and driving consensus among diverse technical and business stakeholders.

• Experience serving as a Principal Engineer Lead Data Engineer Solution Architect or Technical Lead.
• Experience building and operating enterprise-scale vector search RAG knowledge management and LLM-based platforms.
• Hands-on experience with large-scale distributed data processing frameworks.
• Experience leading engineering teams and mentoring junior and mid-level engineers.
• Experience supporting AI adoption efforts within large government defense intelligence or highly regulated organizations.
• Familiarity with AI governance model evaluation frameworks explainability and responsible AI implementation practices.

The Red Arch Solutions pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Determination of official compensation or salary relies on several factors including but not limited to level of position job responsibilities geographic location scope of relevant work experience educational background certifications contract-specific affordability organizational requirements alignment with local internal equity as well as alignment with market data.

Red Arch Solutions Benefits Snapshot:

• 100% paid employee healthcare premiums. CareFirst Advantage Best in Class Benefits.
• HaloScripts Concierge prescription medication service
• Generous PTO.
• 10 % 401K 6% match vested day one and up to 4% profit sharing contribution.
• Annualized bonus compensation.
• Spot bonuses for hard work.
• Tuition reimbursement.
• 529 College Saving Plan.
• College Loan Pay Back Program.
• 11 Paid Federal Holidays
• Generous Referral Bonuses.

Red Arch Solutions provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race color religion age sex national origin disability status genetics protected veteran status sexual orientation gender identity or expression or any other characteristic protected by federal state or local laws.

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