The role involves preparing, configuring, and deploying application packages using MECM/SCCM across various environments. You will support mission-critical systems for the Department of Veterans Affairs while ensuring secure and reliable application delivery.
Design and implement scalable Salesforce architecture solutions while providing technical leadership to cross-functional teams. Enforce development standards, governance policies, and best practices to support the Department of Veterans Affairs OMEGA program.
Design, build, and deploy a bi-directional integration between ServiceNow and JIRA. Create a scalable, secure connector to synchronize work items across both platforms.
The ServiceNow System Administrator will manage the configuration, security, and ongoing administration of the ServiceNow platform for a mission-critical VA program. This role involves establishing platform governance, ensuring system stability, and collaborating with cross-functional teams to support federal cybersecurity requirements.
The ServiceNow QA Analyst will execute functional, regression, and integration testing while coordinating release readiness and deployment activities. They will collaborate with cross-functional teams to ensure platform quality, track defects, and support governance and compliance initiatives.
The Director will personally lead the growth, commercialization, and scaling of the AI services practice by developing strategic pipelines and winning new business. They will also cultivate high-level partnerships and define the company's AI growth agenda across federal and commercial markets.
You will own the end-to-end front-end experience for an enterprise-scale Agentic AI platform, designing intuitive interfaces that translate complex AI reasoning into trustworthy experiences. You will collaborate with AI engineers and product teams to build responsive, real-time interfaces that support mission-critical healthcare modernization.
You will design and implement security controls for autonomous AI systems, including RAG pipelines and agent orchestration. Additionally, you will perform threat modeling and build observability mechanisms to ensure AI systems remain secure, explainable, and compliant with federal standards.
The Senior Applied AI Engineer will design, prototype, and implement production-ready AI capabilities to improve reasoning, accuracy, and developer productivity. They will also optimize autonomous agent workflows and retrieval-augmented generation pipelines while collaborating with cross-functional teams to enhance platform intelligence.
Design and develop autonomous multi-agent AI systems and orchestration pipelines to modernize mission-critical legacy software. Build scalable backend services and retrieval-augmented generation (RAG) systems that ensure explainable, evidence-based AI responses.
Design and build secure identity architectures for autonomous AI agents and enterprise platforms. Implement authentication, authorization, and credential management frameworks to ensure safe AI operations within federal environments.
Design and maintain enterprise AI platform capabilities, including LLM infrastructure, RAG pipelines, and reusable AI harnesses for testing and evaluation. Implement observability, monitoring, and automated workflows to ensure scalable, secure, and high-performance AI application deployment.
Define and lead the architecture, strategy, and implementation of next-generation AI solutions to drive enterprise transformation. Collaborate across engineering, data, and leadership teams to establish AI roadmaps, governance standards, and scalable platforms.
The Functional Business Analyst will reverse-engineer requirements from legacy VistA/MUMPS healthcare systems to support AI modernization initiatives. They will collaborate with cross-functional teams to translate system functionality into actionable technical requirements and support Agile delivery processes.
The Lead Functional Business Analyst will guide a team in extracting and validating business rules from legacy VA healthcare systems while applying human-centered design principles. This role involves standardizing BA methodologies, managing stakeholder relationships, and ensuring requirements align with modernization goals and user needs.
The Technical Product Manager owns the product roadmap for JLV, focusing on customer alignment, feature prioritization, and business value delivery. They translate cross-functional requirements into executable epics and ensure alignment with VA strategic modernization goals.
Support cybersecurity efforts and Authority to Operate (ATO) processes for the VA Health Portfolio. Coordinate security and privacy activities, develop artifacts, and monitor system security controls in accordance with NIST and VA guidelines.
Support cybersecurity engineering and risk management for the Department of Veterans Affairs health portfolio modernization. This includes securing AWS environments, managing ATO artifacts, and integrating security into CI/CD processes.
Develop solution blueprints and architecture strategies to optimize IT investments for the VA Health Services Portfolio. Create system design artifacts and technical roadmaps while collaborating with stakeholders to address complex business requirements.
Design, develop, and maintain enterprise healthcare applications to support the modernization of VA health systems. Collaborate with cross-functional teams to build scalable APIs, microservices, and secure CI/CD pipelines.
Serve as a Scrum Master facilitating Agile ceremonies and guiding teams through the modernization of VA healthcare systems. Collaborate with product owners and stakeholders to remove impediments and ensure the successful delivery of mission-critical applications.
Provide deep functional and technical expertise to support the modernization of legacy VistA environments and healthcare workflows within the VA. Review generated code, documentation, and process outputs to ensure accuracy against actual VistA behavior and operational standards.
Lead the design and implementation of secure, scalable hybrid cloud and on-premise infrastructure to modernize VA healthcare systems. This includes validating AI-generated infrastructure specifications and ensuring compliance with federal security standards.
Lead the design and implementation of enterprise integration architecture to modernize legacy VA healthcare systems. This includes developing strategies to connect VistA/MUMPS systems with cloud-based applications and ensuring secure, scalable data exchange.
Lead the execution of AI-powered modernization initiatives for the Department of Veterans Affairs healthcare portfolio. Coordinate cross-functional teams of engineers and specialists to deliver complex enterprise transformation projects within federal governance frameworks.
