Director of Platform Engineering (VOR)

Expression is seeking a Director of Platform Engineering to lead the architecture development and scaling of VOR our flagship platform that unifies data workflows and AI agents to drive decision-making in complex high-stakes environments.

This is not a management-only role. You will write code review pull requests debug production issues and make hands-on architectural decisions alongside the team you build. You will own VORs technical direction end-to-end from system design and infrastructure to adoption and mission impact while personally contributing to the codebase in meaningful ways.

You will lead cross-functional teams to deliver a platform that integrates seamlessly into client environments operationalizes AI and drives measurable outcomes across government and enterprise programs.

Location

• Hybrid in the DMV area with visits to our HQ office and clients offices as needed.
• Secret or TS/SCI preferred.

Key Responsibilities

Hands-On Engineering & Architecture

• Personally architect and code critical platform components you set the technical standard by building not just directing
• Own system design decisions across VORs data integration workflow orchestration and AI agent layers
• Conduct code reviews set engineering standards and establish patterns that scale across the platform
• Debug and resolve complex production issues spanning cloud infrastructure distributed systems and AI pipelines
• Maintain deep technical fluency in the full stack: Python NodeJS Go cloud-native services (AWS GovCloud) container orchestration data pipelines and LLM/agent frameworks

Platform Strategy & Execution

• Own the end-to-end strategy roadmap and delivery of the VOR platform
• Drive the evolution of VOR across data integration workflow orchestration and AI/agent capabilities
• Ensure alignment between product vision engineering execution and mission needs
• Make build-vs-buy decisions grounded in hands-on technical evaluation not slide decks

Productization & Scale

• Lead the transition from services-driven delivery to a scalable repeatable platform model
• Define deployment models across hybrid cloud enterprise and edge environments
• Establish platform standards for interoperability with systems like Palantir Databricks and Snowflake
• Build and maintain CI/CD pipelines testing infrastructure and release processes that support rapid reliable delivery

AI Operationalization

• Drive the last mile of AI ensuring models and data systems are embedded into real workflows not just prototyped
• Architect and implement human-in-the-loop systems that balance automation with control explainability and trust
• Oversee VOR Agents development ensuring mission alignment and compliance through auditable explainable and traceable actions.
• Drive the implementation of evaluation frameworks agent behavior monitoring and red-teaming to ensure agentic systems behave safely and predictably within mission constraints.
• Stay current with and personally evaluate emerging AI/ML frameworks tools and techniques

Customer & Mission Delivery

• Partner with program teams and clients to implement VOR in real-world environments
• Translate complex mission requirements into platform capabilities
• Ensure successful deployment from pilot to production personally engaging at breakdown points when needed

Team Leadership

• Build and lead a high-performing team of engineers architects and product leaders
• Foster a culture of technical excellence ownership and shipping lead by example at the keyboard
• Mentor engineers through pairing code review and architectural guidance
• Align cross-functional teams across engineering delivery and business units

Qualifications

• Bachelors degree in Computer Science Engineering or related discipline
• 10 years of experience in platform engineering data systems or AI/ML delivery with progressive leadership responsibility
• Currently hands-on: you write production code today not five years ago
• Proven track record of building and scaling platforms not just managing teams that do
• Deep proficiency in Python Go NodeJS and modern cloud-native development (AWS required; Azure/GCP a plus)
• Experience with containerization orchestration (Kubernetes/ECS) and infrastructure-as-code
• Working knowledge of data platforms (e.g. Databricks Snowflake Spark) and workflow orchestration frameworks
• Experience with AI/ML lifecycle and operationalization MLOps model serving LLM integration agent architectures
• Experience working in complex regulated or mission-driven environments (government defense or national security preferred)
• Ability to bridge deep technical execution with executive communication and client engagement
• Experience in client-facing roles including pre-sales and delivery engagements

Preferred Qualifications

• Masters degree in Computer Science Software Engineering or related field
• Active TS/SCI clearance
• Experience with FedRAMP IL4/IL5 or ATO processes
• Hands-on experience with generative AI multi-agent systems or retrieval-augmented generation (RAG)
• Contributions to open-source projects or a visible engineering track record
• Relevant certifications (AWS Solutions Architect Kubernetes etc.)
• Working knowledge of Agentic AI frameworks (e.g. LangChain LangGraph CrewAI or similar).
• Familiarity with retrieval and context engineering systems and vector search systems/vector database integration.

Benefits

Expression offers competitive salaries and benefits including:

• 401(k) matching
• PPO and HDHP medical/dental/vision insurance
• Education reimbursement
• Complimentary life insurance
• Generous PTO and holiday leave
• Onsite office gym access
• Commuter Benefits Plan

About Expression

Founded in 1997 and headquartered in Washington DC Expression provides data fusion data analytics software engineering information technology and electromagnetic spectrum management solutions to the U.S. Department of Defense Department of State and national security community. Expressions Infinite Intelligence culture focuses on creating immediate and sustainable value for our clients through agile delivery of tailored solutions built through constant engagement. Expression was ranked #1 on Washington Technologys 2018 Fast 50 list of fastest-growing small business government contractors and named a Top 20 Big Data Solutions Provider by CIO Review.

Equal Employment Opportunity Statement

Expression is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race color religion gender gender identity or expression sexual orientation national origin genetics disability age or veteran status.