Senior AL/ML Data Engineer - AI, Vector Search & Agentic AI Platforms
About The Position
Red Arch Solutions is seeking a highly experienced, senior-level AI/ML Data Engineer to lead the design and implementation of enterprise-scale data platforms supporting a large-scale Agentic AI transformation initiative. With extensive experience delivering AI and machine learning solutions in complex enterprise environments, you will serve as a technical leader responsible for architecting the data ecosystem that powers vector search, Retrieval-Augmented Generation (RAG), large language model (LLM) applications, and emerging Agentic AI capabilities. You will work across infrastructure, cybersecurity, software engineering, and mission stakeholders to rapidly deliver scalable, secure, and reliable AI solutions. This role requires a seasoned engineer capable of communicating complex technical concepts and architectural tradeoffs to senior leaders, helping leadership teams understand the operational, mission, security, and business implications of emerging AI technologies while driving successful implementation of enterprise capabilities. The Red Arch Distinction: People First Red Arch Solutions is a flat, highly collaborative organization where your voice is heard. We prioritize work/life balance and individualized professional growth, backed by a 100% company-paid healthcare model, a robust annual training allocation, and an elite technical community solving our nation's most urgent national security challenges.
Requirements
- Active, current Top Secret / SCI with Polygraph is mandatory.
- Bachelor’s degree in computer science, Engineering, Mathematics, Data Science, or a related quantitative discipline. Equivalent experience may be considered.
- 10+ 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.
- 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.
- 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.
Nice To Haves
- 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.
Responsibilities
- 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.
- Establish and implement controls for data quality, lineage, source attribution, prompt and context traceability, explainability, and evaluation of AI system outputs.
- Establish and implement controls for data quality, lineage, source attribution, prompt and context traceability, explainability, and evaluation of AI system outputs.
- Lead architectural decision-making for AI-supporting data infrastructure, balancing performance, scalability, security, reliability, maintainability, and cost considerations.
- Partner with Data Scientists, Machine Learning Engineers, Architects, Cybersecurity teams, and Software Engineers to translate AI requirements into production-grade capabilities.
- Translate highly technical AI, machine learning, and data architecture concepts into clear operational impacts, risks, opportunities, and implementation considerations for senior leadership.
- Coordinate with stakeholders across multiple organizations to align AI initiatives, maximize reuse of enterprise capabilities, and eliminate duplication of effort.
- Implement monitoring, observability, and alerting to ensure the reliability, performance, and continuous improvement of AI-supporting data platforms.
- Provide technical leadership and mentorship to engineers while promoting engineering best practices and innovation across the organization.
- Assess emerging AI technologies, vector database platforms, retrieval frameworks, and engineering approaches to improve organizational AI capabilities.
Benefits
- 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.
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Senior
