Senior AI/ML Data Architect for Enterprise AI Platforms

The MIL Corporation; Reston (VA); On-site; USD 150,000 - 180,000; Full time

Job summary

The MIL Corporation in Reston, VA, seeks a senior-level Associate AI/ML Data Scientist (Systems Architecture, Associate) to lead design and implementation of enterprise-scale data platforms. You will drive vector search, RAG, and LLM-based deployments for a federal government customer, partnering across teams to deliver secure, scalable AI solutions.

This role requires strong communication with senior leaders, deep cloud/data engineering expertise, and a track record of delivering complex AI

Qualifications

• 8+ 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.

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 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.

Skills

Experience in software/data/AI/ML

Python

SQL

Cloud platforms

Distributed systems

Leadership

Education

Bachelor's degree in Computer Science, Engineering, Mathematics, Data Science, or related

Tools

CI/CD pipelines

Orchestration platforms

Infrastructure automation

Observability tooling

Job description

The MIL Corporation in Reston, VA, seeks a senior-level Associate AI/ML Data Scientist (Systems Architecture, Associate) to lead design and implementation of enterprise-scale data platforms. You will drive vector search, RAG, and LLM-based deployments for a federal government customer, partnering across teams to deliver secure, scalable AI solutions.

This role requires strong communication with senior leaders, deep cloud/data engineering expertise, and a track record of delivering complex AI