Solutions Architect

Oran•Herndon, VA
•Remote

About The Position

The Solutions Architect will lead the design and implementation of scalable, secure, cloud-native solutions supporting enterprise application modernization and AI enablement initiatives for the Center for Medicaid and Medicare Services. This is a remote, full-time role requiring a hands-on technical leader who can translate business requirements into practical architectural solutions, guide engineering teams, evaluate emerging technologies, and drive modernization strategies in complex enterprise environments. The candidate will work with technical and business stakeholders, lead architecture discussions, identify opportunities for automation and AI adoption, and ensure solutions meet enterprise security, scalability, performance, and compliance needs. The position requires the ability to obtain and maintain a Public Trust clearance, subject to client requirements. The role spans cloud architecture and engineering, DevSecOps and automation, AI enablement, API architecture and integration, application modernization, and technical leadership. The architect will develop cloud adoption and migration strategies, establish architecture standards, integrate security and compliance into development and deployment, and design secure integrations among legacy systems, cloud platforms, modern applications, and external services. They will also develop modernization roadmaps and guide teams in adopting modern engineering practices while minimizing disruption to business operations. The ideal candidate combines strategic thinking with hands-on technical leadership and can connect cloud engineering, application modernization, API integration, DevSecOps, and AI enablement into a cohesive enterprise architecture. They should communicate effectively with technical and non-technical stakeholders and recommend solutions that are practical, secure, and effective.

Requirements

  • 10+ years of experience in software engineering, cloud engineering, enterprise architecture, or solution architecture.
  • Demonstrated experience designing and implementing enterprise-scale cloud solutions.
  • Strong hands-on expertise in at least one major cloud platform: AWS, Azure, or GCP.
  • Proven experience implementing DevSecOps practices, CI/CD pipelines, infrastructure automation, and security controls.
  • Strong understanding of API architecture, RESTful services, API gateways, authentication, authorization, and enterprise integrations.
  • Experience modernizing legacy applications and designing cloud-native architectures.
  • Working knowledge of AI/ML and generative AI integration patterns, including LLMs, RAG, and AI-enabled application workflows.
  • Experience with containers and orchestration technologies such as Docker, Kubernetes, or OpenShift.
  • Strong understanding of enterprise security, identity and access management, networking, observability, and system reliability.
  • Excellent problem-solving, architectural documentation, communication, and stakeholder management skills.
  • Ability to obtain and maintain a Public Trust clearance, subject to client requirements.

Nice To Haves

  • Experience with federal government, public-sector, or highly regulated enterprise environments.
  • Familiarity with Zero Trust architecture, security compliance frameworks, and secure cloud deployments.
  • Experience with API management solutions such as Apigee, Amazon API Gateway, Azure API Management, or Kong.
  • Familiarity with event-driven architecture, messaging platforms, and distributed systems.
  • Experience with AI orchestration frameworks, vector databases, model-serving platforms, or enterprise AI governance.
  • Knowledge of Agile delivery, architecture governance, and enterprise modernization programs.
  • Relevant cloud, security, architecture, or DevSecOps certifications.

Responsibilities

  • Design and implement scalable, resilient, and secure cloud architectures across AWS, Microsoft Azure, or Google Cloud Platform.
  • Develop cloud adoption, migration, and optimization strategies for enterprise applications.
  • Establish architectural standards and best practices for cloud-native development, infrastructure automation, and resource management.
  • Evaluate cloud services and recommend technologies based on business and technical requirements.
  • Drive containerization and orchestration strategies using Docker, Kubernetes, and OpenShift.
  • Design and implement DevSecOps practices that integrate security throughout the software development lifecycle.
  • Develop and optimize CI/CD pipelines using Jenkins, GitLab CI/CD, GitHub Actions, Azure DevOps, or similar platforms.
  • Integrate automated security scanning, vulnerability assessment, compliance validation, and code quality checks into deployment pipelines.
  • Implement Infrastructure as Code using Terraform, CloudFormation, Ansible, or equivalent technologies.
  • Establish monitoring, logging, observability, and automated deployment practices to improve reliability and operational efficiency.
  • Identify opportunities to incorporate AI/ML capabilities into enterprise applications, business workflows, and modernization initiatives.
  • Design architectures for secure integration of AI services, LLMs, and generative AI capabilities.
  • Evaluate AI platforms, APIs, model integration patterns, and automation frameworks to address business challenges.
  • Support implementation of RAG, AI agents, and enterprise knowledge integration where appropriate.
  • Establish architectural guardrails for AI security, data privacy, governance, responsible AI, and model access.
  • Guide engineering teams in selecting practical, scalable AI solutions that deliver measurable business value.
  • Design secure, scalable, and reusable APIs and integration frameworks for enterprise applications.
  • Establish API standards for RESTful services, API versioning, authentication, authorization, throttling, and lifecycle management.
  • Implement API security and access controls using OAuth 2.0, OpenID Connect, JWT, and related standards.
  • Evaluate and implement API management platforms, gateways, microservices, and event-driven integration patterns.
  • Ensure integration among legacy systems, cloud platforms, modern applications, and external services.
  • Lead legacy application modernization through cloud migration, re-platforming, refactoring, and re-architecting.
  • Assess application portfolios and identify opportunities to improve scalability, maintainability, performance, and security.
  • Design modern application architectures using microservices, serverless computing, containers, and cloud-native patterns as appropriate.
  • Develop modernization roadmaps, architecture diagrams, technical standards, and implementation strategies.
  • Guide development teams in adopting modern engineering practices while minimizing disruption to business operations.
  • Lead architecture reviews, technical design sessions, and solution-planning discussions with business and engineering stakeholders.
  • Translate complex business requirements into technical designs, implementation plans, and architectural recommendations.
  • Collaborate with application development, infrastructure, security, data, and DevOps teams.
  • Identify technical risks, dependencies, and opportunities for innovation and continuous improvement.
  • Mentor engineering teams and promote architectural consistency, reusable components, and engineering best practices.
  • Communicate technical concepts clearly to technical and non-technical stakeholders.
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