Software Architect

Requirements:

• We need someone with 8+ years of work experience, including demonstrated use of Agentic AI in architecture, technical design, and implementation.
• We require a bachelors degree or advanced degree in a related field, or equivalent practical experience.
• You should be highly motivated, self-directed, and intellectually curious, with a strong inclination to apply emerging AI tools to engineering challenges.
• You need substantial experience architecting complex distributed systems and guiding teams through their development.
• You should have hands-on experience using Agentic AI for architecture, technical design, and implementation, including AI coding agents, design copilots, automated code review, and RAG-based design assistants.
• You need the ability to lead or contribute to business, culture, technical, and practice initiatives that support continuous improvement, including AI-augmented engineering adoption.
• You should have a strong history of collaborating with stakeholders and proposing new product offerings and company-wide strategies informed by industry insight.
• You need the ability to negotiate complex or high-risk technical business issues on our behalf and consult with management on long-term project objectives.
• You should have experience leading technical due diligence and roadmap development for strategic partnerships, third-party partners, mergers, and acquisitions.
• You need effective communication and leadership skills, with the ability to influence others toward a future-state architecture.
• You should have expert-level experience with multiple client-side and server-side programming languages, with Java and Spring Boot required and React preferred.
• You need expert-level experience building, deploying, and supporting REST services and microservices.
• You should have expert-level experience with container orchestration platforms and cloud-native architectures, and the ability to guide cloud service adoption across major cloud providers.
• You need working knowledge of LLM-backed services, prompt engineering, agent frameworks, evaluation harnesses, and related governance considerations.
• You should have significant experience with relational databases, non-relational databases, messaging systems, and event-driven architecture patterns.
• You need expert-level experience with containerization technologies and container-based deployment strategies.
• You should have deep expertise in infrastructure as code practices for repeatable, auditable, and scalable infrastructure.
• You need strong knowledge of service mesh and API gateway patterns for securing and managing microservices at scale.
• You should have experience with GitOps and modern continuous delivery practices for cloud-native platforms.
• You should be able to join a team, lead initiatives, and build software to solve difficult problems.

Responsibilities:

• We set enterprise-wide standards for software structure, maintainability, quality, and the responsible use of Agentic AI in implementation.
• We ensure solutions meet both explicit and implicit user needs.
• We act as thought leaders in software engineering and AI-augmented development, including prompt design, guardrails, and agent workflows that improve delivery without sacrificing quality.
• We coach others to solve problems using multiple languages, technologies, software tools, and AI coding agents.
• We serve as subject matter experts in key technologies and help define organizational standards in technology, methodology, and Agentic AI tooling.
• We lead comprehensive testing strategies across microservices, API contract testing, and end-to-end workflows.
• We use Agentic AI to create, expand, maintain, and triage test suites and edge-case scenarios.
• We provide guidance on testing best practices, including automation, CI/CD integration, AI-assisted quality engineering, and metrics tracking.
• We partner with other disciplines to deliver prescriptive and forward-looking intelligence.
• We design solutions that integrate effectively with machine learning tools, generative AI services, and cloud-based data services.
• We architect data flows that support Agentic AI use cases such as retrieval, grounding, and evaluation.
• We define data management best practices and act as subject matter experts in that area.
• We lead cloud architecture efforts and guide the implementation and adoption of cloud-native solutions across the organization.
• We establish best practices for cloud service use, data migration, complex integrations, and the deployment of AI agents and LLM-backed services.
• We provide technical direction and governance for advanced infrastructure and integrations, including resource optimization and AI workload cost management.
• We analyze analytics and operational metrics to identify user behavior trends and recommend architectural improvements.
• We shape operational strategies, including AI-assisted observability, incident response, and self-healing systems.
• We serve as subject matter experts in operations best practices, tools, and techniques.
• We understand the broader business impact and help protect our companys reputation.
• We direct teams in multi-stage threat mitigation and secure coding practices, including secure use of Agentic AI.
• We develop tools to address security gaps and provide regulatory compliance guidance, especially in healthcare contexts such as HIPAA and HITRUST.
• We set the organizations standards for security and compliance.
• We shape our user-centric direction and promote seamless experiences, including AI-native interactions where appropriate.
• We define interaction patterns across multiple products to create consistent experiences.
• We demonstrate deep expertise in user-facing technologies and advocate for best practices and innovation.
• We lead prioritization and remediation of technical and design debt across the platform.
• We define industry-standard approaches for functional and non-functional requirements.
• We orchestrate complex system architectures and manage data flow end to end.
• We balance future-state engineering with current business needs.
• We establish best practices and anti-patterns for the organization.
• We use Agentic AI to accelerate architecture work by generating design alternatives, evaluating trade-offs, producing ADRs, and reviewing designs against established patterns and constraints.

Technologies:

• Agentic AI
• AI
• AI Agents
• API
• Architect
• CI/CD
• Cloud
• Flow
• GitOps
• Support
• Java
• LLM
• Machine Learning
• RAG
• REST
• React
• Security
• Spring
• Spring Boot
• microservices
• JavaScript

More

We are hiring a Software Solutions Architect for a direct-hire, hybrid role based in Dublin, Ohio or Orlando, Florida. This is a senior technical leadership position focused on shaping commercial technology architecture across the company, influencing multiple engineering teams, and driving healthcare technology solutions that make care safer and more cost-effective. We operate in an Agile environment and value modern, AI-augmented engineering practices, including the practical use of Agentic AI to accelerate architecture, design, implementation, testing, and operations. The role offers eligibility for discretionary bonuses and participation in medical, dental, and vision benefits, plus our 401(k) retirement plan. We are also a talent pool employer and may consider submissions for similar future opportunities.

last updated 44 week of 2026