LTS

Healthcare

SolutionArchitect

$145–195k ~AI est. Herndon, Virginia, United States
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Solution Architect at LTS. Skills: Solution Architecture, AI-powered modernization, Healthcare systems, Cloud transformation. Lead design and development of enterprise solution architectures. Architect scalable, secure, and resilient solutions”

What You'll Achieve.

Improve operational efficiency; Advance digital transformation

Industry & Context.

Healthcare
Problems you'll solve

Root cause analysis

What They're Looking For.

Must Have

Bachelor's degree in Computer Science, Information Technology, Engineering, or related discipline, 10-15+ years of experience in enterprise solution architecture, systems engineering, or technology modernization initiatives, Experience supporting large-scale federal IT modernization programs, Demonstrated ability to critically evaluate AI-generated technical outputs, Experience designing enterprise solutions across cloud, application, integration, and infrastructure domains, Knowledge of enterprise architecture frameworks, Knowledge of modern application design principles, Experience with hybrid cloud environments, Understanding of APIs, microservices, middleware, and enterprise integration patterns, Experience supporting modernization of legacy applications and enterprise healthcare systems, Knowledge of cybersecurity principles, Knowledge of federal compliance standards, Knowledge of Zero Trust Architecture concepts, Communication and stakeholder engagement skills

Nice to Have

Experience supporting VA healthcare systems including VistA, CPRS, or VA EHR modernization efforts, Familiarity with MUMPS-based environments, Ability to assess VistA code, business rules, and system dependencies, Experience with healthcare interoperability standards including HL7, FHIR, and CDA, Experience supporting DevSecOps, CI/CD pipelines, and Agile delivery environments, Knowledge of containerization and orchestration technologies, Familiarity with enterprise data architecture and analytics platforms, Experience supporting cloud migration and digital transformation initiatives in regulated environments, Relevant cloud, architecture, or cybersecurity certifications

What You'll Do.

Lead design and development of enterprise solution architectures

and resilient solutions

Integrate legacy healthcare systems with modern enterprise platforms

Support modernization efforts involving VistA/MUMPS-based applications

Support cloud transformation

Support enterprise interoperability

Critically evaluate AI-generated outputs

Translate validated AI outputs into solution designs

Translate validated AI outputs into sprint backlog inputs

Translate validated AI outputs into technical roadmap decisions

Define integration and interoperability patterns

Ensure data consistency

and reliable exchange

Translate business and technical requirements into end-to-end architectural

Translate requirements into implementation strategies

Collaborate with infrastructure teams

Collaborate with integration teams

Collaborate with cybersecurity teams

Collaborate with DevSecOps teams

Collaborate with data teams

Collaborate with application development teams

Design cloud-native architectures

Design hybrid architectures

Develop solution blueprints

Develop architecture diagrams

Develop technical roadmaps

Develop design documentation

Ensure alignment with federal cybersecurity standards

Ensure alignment with Zero Trust standards

Ensure alignment with compliance standards

Ensure alignment with enterprise architecture standards

Evaluate emerging technologies

Recommend modernization approaches

Participate in architecture governance reviews

Participate in technical assessments

Participate in strategic planning sessions

Support system scalability initiatives

Support performance optimization initiatives

Support reliability initiatives

Support operational sustainability initiatives

Provide technical leadership

Provide mentorship across engineering teams

Provide mentorship across delivery teams

How You'll Work.

Team & Collaboration

Program leadership; Engineering teams; Infrastructure architects; Cybersecurity personnel; Business stakeholders; Cross-functional teams

Communication Scope

Communicate complex technical concepts

Process & Methodology

Agile delivery environments

Full Job Description

LTS is seeking an experienced Solution Architect to support a major AI-powered modernization initiative within the Department of Veterans Affairs (VA) health portfolio. This role will support the design and delivery of enterprise technology solutions focused on modernizing legacy healthcare systems, enabling interoperability, improving operational efficiency, and advancing digital transformation initiatives supporting Veteran healthcare services nationwide. The ideal candidate will possess deep technical and architectural expertise across enterprise applications, cloud technologies, integration frameworks, and modernization strategies within complex federal healthcare environments. This individual will collaborate closely with program leadership, engineering teams, infrastructure architects, cybersecurity personnel, and business stakeholders to design scalable, secure, and innovative solutions supporting mission-critical healthcare operations. A central responsibility of this role is critically evaluating AI-generated outputs—including code analyses, dependency maps, business rules extractions, and system documentation—for architectural soundness, accuracy, and completeness, and translating validated outputs into actionable solution designs. What You’ll Do: 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 output

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