Technical Product Manager

• Own and continuously refine JLV’s Product Strategy, Vision, and Roadmap.
• Conduct frequent meetings with clinicians, business owners, and end users to gather insights and understand needs.
• Represent the product across VA interoperability discussions.
• Maintain, prioritize, and refine the Product Backlog; ensure alignment to roadmap and evolving customer needs.
• Apply WSJF prioritization for features; negotiate across business, technical, and architectural partners.
• Ensure every feature has a clear benefit hypothesis and acceptance criteria.
• Translate cross functional requirements into epics that can be delivered within one Program Increment.
• Partner with all team members and stakeholders to ensure backlog readiness, sequencing, and capacity balancing.
• Support continuous delivery flow through program and team backlogs.
• Present product vision, roadmaps, and milestones during PI Planning.
• Participate in or lead, PI planning, System Demos, Inspect & Adapt sessions.
• Maintain product artifacts: user flows, journey maps, release notes, roadmaps, and decision logs.
• Ensure product activities align with VA policy, budget constraints, and strategic modernization goals.
• Integrate ISO responsibilities when applicable (security, compliance, risk alignment) referencing enterprise guidance.

Project Manager

• Responsible for the successful delivery and execution of LTS Innovation and Technology projects.
• Lead projects through all phases, from initiation and launch to full lifecycle management, ensuring compliance with design control requirements.
• Coordinate and drive execution across highly skilled, matrixed, multidisciplinary teams.
• Operate with a high degree of autonomy, collaborating with cross-functional partners including R&D, Quality Assurance, Regulatory Affairs, Operations, Verification, and customers to ensure consistent progress on complex, high-impact projects.
• Ensure adherence to project financials, defined scope, timelines, and development plans.
• Proactively identify and assess project risks; develop and implement effective mitigation and contingency plans.
• Foster and maintain strong working relationships with customers, extended core teams, and senior leadership.

Full-stack Engineer

• Lead the design, development, and deployment of AI-powered software solutions.
• Partner directly with customer stakeholders to understand business objectives and technical requirements.
• Translate complex customer needs into scalable AI-enabled software solutions.
• Collaborate with customer leadership, product owners, architects, and engineering teams.
• Build and maintain strong customer relationships.
• Design, develop, test, and deploy AI-enabled applications and modern software platforms.
• Implement CI/CD pipelines, automated testing, and observability.

Senior Forward Deployed Engineer

• Serve as the primary technical advisor for customer engagements, building trusted relationships with executive leadership, technical stakeholders, and business owners.
• Lead technical discovery sessions, solution workshops, and architecture discussions to define customer objectives and implementation strategies.
• Translate business priorities into scalable AI-enabled software solutions and technical roadmaps.
• Advise customers on AI adoption strategies, solution architecture, governance, and operational readiness.
• Communicate complex technical concepts, trade-offs, and implementation risks to both technical and non-technical audiences.
• Support business development activities through technical presentations, demonstrations, proof-of-concepts (POCs), proposals, and solution briefings.
• Lead cross-functional engineering teams responsible for delivering enterprise AI and software solutions.
• Provide technical direction throughout the full software development lifecycle, from architecture through deployment and operational support.
• Guide engineering teams in designing secure, scalable, maintainable, and high-performing software systems.
• Lead architecture reviews, design discussions, sprint planning, technical decision-making, and engineering governance.
• Establish engineering standards, development practices, quality metrics, and delivery processes across engagements.
• Remove technical blockers, manage delivery risks, and ensure successful execution across multiple projects or workstreams.
• Mentor engineers through architecture guidance, code reviews, technical coaching, and career development.
• Architect and oversee the development of AI-enabled applications, intelligent automation solutions, and modern software platforms.
• Lead the design and implementation of solutions leveraging large language models (LLMs), retrieval-augmented generation (RAG), agentic AI, machine learning, and other emerging AI technologies.
• Guide the design of scalable data pipelines, knowledge retrieval systems, APIs, microservices, and enterprise integrations.
• Establish best practices for prompt engineering, AI evaluation, model governance, human-in-the-loop workflows, and responsible AI.
• Define engineering approaches that balance scalability, performance, security, reliability, governance, and cost.
• Review production-quality code and ensure adherence to software engineering best practices.
• Drive implementation of CI/CD pipelines, automated testing, monitoring, logging, observability, and operational excellence.
• Develop reusable frameworks, technical accelerators, documentation, and engineering standards that improve delivery across programs.
• Lead multiple engineering initiatives while ensuring consistent delivery quality across teams.
• Coordinate cross-functional and geographically distributed engineering teams, including hybrid onshore/offshore delivery models.
• Establish delivery governance, resource planning, risk management, stakeholder communications, and project health reporting.
• Contribute to organizational engineering strategy, AI capability development, and technical innovation.
• Promote continuous improvement through engineering best practices, reusable assets, and knowledge sharing.
• Stay current on emerging AI technologies, cloud platforms, software engineering trends, and industry best practices.

Lead Forward Deployed Engineer

Security Analyst

• This individual will support cybersecurity efforts across multiple projects within a portfolio setting and proactively monitor upcoming cyber priorities across the VA Health portfolio.
• Communicate and provide consultative support on the VA on matters related to system security certification & accreditation and Authority to Operate (ATO).
• Coordinate and lead security and privacy activities within project teams and develop security and privacy related artifacts.
• Review and identified system/applications security controls in accordance with NIST SP-800 53 Rev 4 guidance and VA Handbook 6500.
• Responsible for on time deliverables of assigned and related security and privacy artifacts.
• Must be able to identify and mitigate risks to the program.
• Demonstrated experience in a remote work environment.
• Ability to proactively communicate and coordinate with various internal and external project stakeholders, depending on needs.
• Identifying and communicate symptoms for process improvement.
• Ability to work independently with minimal guidance and supervision
• Support a team of other cyber security professionals
• Support Application development/maintenance and IT operations with Agile practices
• Build and develop cyber security related artifacts
• Resolve requests for assistance in troubleshooting issues
• Participate in new and existing IT modernization, expansion, and improvement of security architecture and engineering projects support enterprise operations
• Support ATO, and the VA ISO/ISSO in support of ATOs, ServiceNow CAM tool and other security tracking systems

Cyber Security Analyst

Backend Engineer

• Quickly develops a holistic view of the organization’s current IT architecture, business operations, in-flight technology modernization initiatives and future plans.
• Conducts workflow analysis, technology assessments, and business-related studies to define business case plans and architecture strategies supporting long term sustainability and growth.
• Works with stakeholders and plays a lead role in defining solutions to address business requirements.
• Creates system design artifacts for both current and future state of the application.
• Works with internal and external partners to define interfaces, data exchange mechanisms and data structures required by the solution.
• Translates high-level product development strategies into network and system requirement specifications and works with other engineering disciplines to develop lower-level detailed implementation requirements.
• Develops systems and system element architecture and design and interface definitions. Defines system implementation approach and operational concept. Develops models and architectural guidelines for current and future system development.
• Author primary architecture artifacts for existing or new products to generate a baseline of technical reference and expertise.
• Provides guidance and strategy for adoption of new technology products and processes optimizing developer, customer, and end-user experience.
• Updates technology roadmaps aligning to higher organizational strategies and vision as needed.
• Conducts trade-off analysis on applications when needed.
• Builds a trusted advisory relationship with various stakeholders.
• Express and defend personal/team dissenting opinions with clarity and diplomacy.
• Proactively and insightfully report/document delivery of value.

Technical Architect

Scrum Master

• Serve as Scrum Master for Agile teams supporting VA healthcare modernization initiatives.
• Facilitate Agile ceremonies including sprint planning, daily standups, backlog refinement, sprint reviews, retrospectives, and release planning activities.
• Guide teams in the adoption and continuous improvement of Agile principles, Scrum practices, and team collaboration.
• Support modernization initiatives involving legacy VistA/MUMPS-based healthcare systems and enterprise applications.
• Collaborate with product owners and stakeholders to manage and prioritize product backlogs and delivery objectives.
• Identify, track, and help remove impediments impacting team performance and project delivery.
• Monitor team progress, sprint metrics, and delivery outcomes to support continuous improvement efforts.
• Promote transparency, accountability, and effective communication across technical and business teams.
• Support coordination across cross-functional teams including development, infrastructure, cybersecurity, integration, and operations.
• Assist with release planning, dependency management, risk tracking, and stakeholder reporting activities.
• Support Agile documentation and reporting activities utilizing tools such as Jira, Confluence, Azure DevOps, or similar platforms.
• Foster a collaborative and high-performing team environment focused on delivering mission value and modernization success.

Business Analyst

• Elicit, analyze, document, and validate business, functional, and technical requirements for VA modernization initiatives.
• Conduct stakeholder interviews, workflow analyses, gap assessments, and facilitated working sessions.
• Translate business needs into user stories, epics, process flows, requirements documentation, and acceptance criteria.
• Support modernization efforts involving legacy VistA/MUMPS-based healthcare systems and enterprise applications.
• Collaborate with technical teams, architects, product owners, and project managers to ensure alignment between business objectives and technical solutions.
• Analyze current-state and future-state business processes to identify opportunities for modernization and operational improvement.
• Support Agile delivery activities including backlog refinement, sprint planning, user acceptance testing (UAT), and release validation.
• Assist with healthcare workflow analysis, interoperability requirements, and system integration initiatives.
• Develop and maintain project documentation including business requirements documents (BRDs), functional specifications, workflow diagrams, meeting minutes, and process documentation.
• Support change management, training, and stakeholder communication activities.
• Participate in system testing, validation efforts, and issue resolution activities.
• Ensure requirements and solutions align with VA policies, operational needs, and federal compliance standards.

Software Engineer

• Design, develop, test, and maintain enterprise applications supporting VA healthcare modernization initiatives.
• Participate in Agile Scrum ceremonies including sprint planning, backlog refinement, daily standups, retrospectives, and demos.
• Develop and enhance applications integrating with legacy and modern healthcare systems.
• Support modernization efforts involving legacy VistA/MUMPS-based environments and enterprise integration platforms.
• Build scalable APIs, microservices, and application components using modern development frameworks and tools.
• Collaborate with architects, analysts, QA teams, and infrastructure engineers to deliver secure and reliable solutions.
• Contribute to CI/CD pipelines, DevSecOps processes, and automated testing initiatives.
• Troubleshoot and resolve application defects, performance issues, and integration challenges.
• Develop technical documentation including user stories, technical specifications, code documentation, and release notes.
• Ensure solutions align with federal cybersecurity, accessibility, and compliance requirements.
• Support continuous improvement initiatives focused on modernization, automation, and operational efficiency.

Agile Developer

Solutions Engineer

• Lead the design and development of enterprise solution architectures supporting VA modernization initiatives.
• Architect scalable, secure, and resilient solutions integrating legacy healthcare systems with modern enterprise platforms.
• Support modernization efforts involving VistA/MUMPS-based applications, cloud transformation, and enterprise interoperability, with attention to preserving data integrity and operational continuity across legacy and modernized system boundaries.
• Critically evaluate AI-generated outputs—including code analyses, dependency maps, workflow diagrams, business rules extractions, and system documentation—for architectural soundness, accuracy, and completeness, and translate validated outputs into solution designs, sprint backlog inputs, and technical roadmap decisions.
• Define integration and interoperability patterns ensuring data consistency, traceability, and reliable exchange between VistA/MUMPS legacy systems and modernized target platforms throughout the transition.
• Translate business and technical requirements into end-to-end architectural solutions and implementation strategies that maintain consistency between legacy and modern solutions.
• Collaborate with infrastructure, integration, cybersecurity, DevSecOps, data, and application development teams to ensure cohesive solution delivery.
• Design cloud-native and hybrid architectures leveraging modern platforms, APIs, and enterprise technologies.
• Develop solution blueprints, architecture diagrams, technical roadmaps, and design documentation.
• Ensure alignment with federal cybersecurity, Zero Trust, compliance, and enterprise architecture standards.
• Evaluate emerging technologies and recommend modernization approaches aligned with VA mission objectivesobjectives, with evaluation scoped to technologies directly applicable to active program deliverables.
• Participate in architecture governance reviews, technical assessments, and strategic planning sessions.
• Support system scalability, performance optimization, reliability, and operational sustainability initiatives.
• Provide technical leadership and mentorship across engineering and delivery teams throughout the project lifecycle.

Solution Architect

Architect

• Lead the design and implementation of enterprise integration architecture supporting VA modernization initiatives.
• Develop integration strategies connecting legacy VistA/MUMPS systems with modern cloud-based and enterprise applications.
• Critically evaluate AI-generated interface maps, dependency diagrams, data flow analyses, and business rules extractions for accuracy and completeness against actual VistA data structures and integration patterns, identifying gaps or errors before outputs are used in integration design.
• Architect APIs, middleware, messaging, and data exchange solutions across enterprise healthcare systems.
• Support interoperability initiatives utilizing healthcare standards including HL7, FHIR, and RESTful APIs.
• Design scalable integration frameworks supporting real-time and batch processing requirements.
• Collaborate with infrastructure, cybersecurity, application development, data, and DevSecOps teams to ensure seamless system integration.
• Define integration patterns, standards, governance models, and best practices across the enterprise.
• Support migration and modernization efforts involving legacy healthcare applications and enterprise data platforms.
• Evaluate and recommend middleware, API management, and integration platform technologies.
• Ensure integration solutions align with federal cybersecurity, Zero Trust, and compliance requirements.
• Participate in technical architecture reviews, modernization planning sessions, and engineering assessments.
• Develop technical documentation including interface control documents (ICDs), architecture diagrams, integration specifications, and implementation plans.
• Troubleshoot complex integration issues and provide technical leadership throughout the system lifecycle.

Integration Architect

Infrastructure Engineer

• Lead infrastructure architecture and modernization efforts supporting large-scale VA enterprise health systems.
• Design and implement secure, scalable hybrid cloud and on-premise infrastructure solutions.
• Support modernization and migration of legacy healthcare systems, including VistA/MUMPS-based environments.
• Review and validate AI-generated outputs related to infrastructure components, environment configurations, and deployment specifications—assessing accuracy, completeness, and alignment with VA security and operational requirements before implementation.
• Coordinate with VA government stakeholders to confirm AI platform infrastructure components meet federal standards, and serve as the primary infrastructure liaison between the VA environment and the LTS product development team.
• Develop infrastructure roadmaps, reference architectures, and technical standards aligned with VA and federal requirements.
• Collaborate with application, database, cybersecurity, and DevSecOps teams to support system modernization initiatives.
• Architect solutions supporting high availability, disaster recovery, scalability, and performance optimization.
• Evaluate and recommend emerging technologies, infrastructure tooling, and modernization strategies.
• Support infrastructure integration across cloud, data center, network, storage, virtualization, and identity management platforms.
• Ensure compliance with federal cybersecurity frameworks including NIST, FISMA, FedRAMP, and Zero Trust initiatives.
• Participate in technical reviews, architecture governance, engineering assessments, and modernization planning activities.
• Provide technical leadership and guidance to engineering and operations teams throughout the project lifecycle.
• Support documentation efforts including architecture diagrams, technical design documents, implementation plans, and operational procedures.

Infrastructure Architect

Technical Project Manager

• Lead and manage AI IT modernization projects supporting VA healthcare and enterprise transformation initiatives, ensuring delivery teams leverage AI platform outputs to accelerate analysis, documentation, and development.
• Coordinate cross-functional teams including AI/ML engineers, prompt engineers, legacy system specialists, development, infrastructure, cybersecurity, integration, and operations personnel across concurrent workstreams.
• Develop and manage integrated program plans, schedules, resource allocations, risks, and deliverables across both an AI platform team and a modernization delivery team operating on overlapping timelines.
• Facilitate Agile sprint execution across multiple concurrent scrum teams, including sprint planning, backlog refinement, sprint reviews, and retrospectives, ensuring AI-generated analysis is embedded in backlog development and acceptance criteria.
• Track project progress, milestones, dependencies, sprint velocity, and budget considerations to ensure successful execution and on-time delivery of program proof points.
• Support modernization efforts involving legacy VistA/MUMPS-based systems and enterprise healthcare applications.
• Provide informed oversight of AI platform activities including legacy code ingestion, dependency mapping, workflow generation, and business rules extraction, ensuring platform outputs directly accelerate modernization delivery.
• Operate within VA’s Veterans-focused Integration Process (VIP) framework, aligning sprint delivery, artifact production, and approval sequencing to VIP phase gates throughout the program lifecycle.
• Collaborate with government leadership and program stakeholders to align project execution with mission objectives and strategic priorities.
• Identify, manage, and mitigate project risks including those specific to AI-assisted delivery such as model output reliability, dependency mapping gaps, and data lineage requirements in federal environments.
• Ensure compliance with VA, federal, and organizational governance, reporting, and documentation requirements, including DevSecOps standards, CI/CD pipeline governance, and VA development approval processes.
• Facilitate status meetings, executive briefings, sprint reviews, and stakeholder communications, translating complex technical and AI delivery progress into mission-impact language for VA leadership.
• Support change management, process improvement, and operational transition activities, ensuring modernization outcomes are positioned for sustained VA adoption beyond the pilot period.
• Develop and maintain project documentation including program plans, schedules, risk registers, meeting minutes, action trackers, executive reports, and VA governance artifacts required at each phase gate.
• Drive continuous improvement initiatives focused on delivery excellence, AI output quality, team collaboration, and establishing reusable modernization patterns for future program application.
• Coordinate ATO and FedRAMP planning activities from program inception, tracking SSP progress, ISSO engagement, security control mapping, and evidence collection so that accreditation is not a late-stage blocker.
• Serve as the primary technical point of contact for day-to-day VA program office interactions, coordinating upward with executive leadership for strategic and client relationship matters.

Engineer

• Own the agent layer of the platform — architecture, prompts, tool surfaces, multi-agent orchestration, and the eval loop.
• Set the technical ceiling for the platform’s core capabilities: translation accuracy, dependency-map correctness, hallucination control.
• Drive translation and dependency-mapping accuracy across an unfamiliar legacy paradigm — call graphs, data references, semantic equivalence checks.
• Take on capability bets that don’t show up on most roadmaps yet — agent work at the frontier of code understanding.
• Drive the prompt-and-eval iteration cycle in partnership with the RAG & Eval Engineer.
• Write production agent code daily; subagents and multi-agent workflows are your normal way of working.

Senior Agent Engineer

• Own the knowledge surface — ingestion pipelines for source code, structured metadata, technical documentation, patches, and additional corpora the customer provides.
• Own retrieval quality — chunking, embeddings, hybrid retrieval, reranking, and freshness.
• Own the eval harness — benchmarks for translation accuracy, dependency-map correctness, and overall agent quality.
• Run A/B testing and regression detection across prompts, retrieval, and model changes.
• Operate the feedback loop from production usage back into evals and retrieval.
• Define what “good” means for the platform when no one else has a clear view, so the team can tell whether the agent is actually improving.
• Pair with the Agent Engineers on the prompt-and-eval iteration cycle.