Active Top Secret / SCI clearance with Polygraph required.
Bachelor's degree in computer science, Engineering, Mathematics, Data Science, or related field; equivalent experience considered.
12+ years in software engineering, data engineering, or AI/ML platform development.
Proven experience in enterprise-scale AI and machine learning solutions.
Demonstrated success in architecting production cloud-native data systems.
Extensive experience with data pipelines for machine learning and generative AI applications.
Strong proficiency in Python, SQL, and modern software engineering practices.
Responsibilities
Architect and maintain enterprise-scale data platforms for AI applications.
Establish data quality and governance controls for AI systems.
Collaborate with cross-functional teams to translate AI requirements into production capabilities.
Communicate technical AI concepts to senior leadership regarding operational impacts.
Coordinate AI initiatives across multiple organizations to maximize efficiency.
Implement monitoring and observability for AI data platforms.
Evaluate emerging AI technologies and engineering approaches.
Benefits
100% paid employee healthcare premiums.
Generous PTO and 11 paid federal holidays.
10% 401K with 6% match and profit sharing from day one.
Annualized bonus compensation and spot bonuses.
Tuition reimbursement and 529 College Savings Plan.
College Loan Pay Back Program.
Generous referral bonuses.
Full Job Description
ROLE OVERVIEW Red Arch Solutions is seeking an experienced AI/ML Data Engineer to collaborate on 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 be 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. 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.
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.
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:
12+ 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 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 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 $220-250K #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.
Have more questions about Red Arch? Email us at Careers@RedArchSolutions.com
