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Principal AL/ML Data Scientist - AI, Vector Search & Agentic AI Platforms
Sign up with Clera and we'll reach out the moment a role actually fits you — no more spraying applications into the void.
$275k–$330k/yr
Full-time
bachelor degree
Health insurance, Paid time off, 401k, Profit sharing, Annual bonus, Tuition reimbursement
Posted 26d ago
Apply by Nov 15
~40 hrs/week
Responsibilities
Architect and maintain enterprise-scale data platforms to support vector search, RAG, and Agentic AI initiatives. Lead cross-functional teams to translate complex AI requirements into secure, production-grade technical solutions.
Requirements
Requires 10+ years of experience in software or data engineering with a focus on AI/ML and cloud-native systems. Candidates must hold an active Top Secret/SCI with Polygraph clearance and possess a bachelor's degree in a quantitative discipline.
Full job description
ROLE OVERVIEW
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.
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.
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 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.
DESIRED SKILLS & FRAMEWORKS
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.
Salary Range for this role 270-325K #CJ
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.
Have more questions about Red Arch? Email us at Careers@RedArchSolutions.com
People First. Mission Always. Minds Without Limits.
Industry
Information Technology & Services
Company size
51-200 employees
Founded
2004
Headquarters
Columbia, Maryland
LinkedIn followers
5,049
Red Arch Solutions is a premier U.S. small business providing its customers with state-of-the-art tactical and strategic intelligence, systems, and software engineering solutions, solving some of the most pressing and unique intelligence community challenges related to National Security.
Our employees are exceptionally skilled professionals; individuals who are dedicated to collecting, analyzing, creating and engineering the best solutions in support of critical missions. Red Arch Solutions takes pride in the success of our customers. The depth of our engineers’ experience combined with our breadth of exposure across the intelligence community enables us to provide value added, synergistic analytical and engineering support.
Unique to Red Arch Solutions is the focus on its employees. Our guiding principle is “People First.” We offer employees career mobility and stability, work-life balance flexibility, and individualized career paths. The loyalty of highly trained, skilled professionals is our key corporate asset.
Red Arch Solutions is an Equal Opportunity Affirmative Action Employer.
Offices: 8830 Stanford Blvd, Suite 415, Columbia, Maryland 21045, US
Based on 539 listings with disclosed salaries, most engineering jobs in Reston, VA pay between $90k–$222k per year. Individual offers vary with seniority, company size, and specialization.
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