Software Architect, AI Engineer (Applied​/Software)

Software Solutions Architect

Direct hire

Hybrid - Dublin, OH or Orlando, FL

An Software Architect is a senior technical leader who shapes and drives the architecture of commercial technologies across the company and is influential across multiple engineering teams. They are a hands-on technologist who leads by example and coaches engineers in modern, AI-augmented engineering practices. They are an expert at designing all layers of an application and platform, and they pioneer the use of Agentic AI for architecture, technical design, and implementation - using AI agents to accelerate solution design, generate and review code, evaluate trade-offs, and automate repetitive engineering tasks.

They work in an Agile development environment architecting, designing, leading, and delivering technology solutions to transform healthcare into a safer and more cost-effective industry. They are expected to be highly in-tune with industry best practices, emerging AI tooling, technologies, processes, and techniques, and can provide leadership to multiple teams on how to apply them pragmatically to solve business problems.

• Set organization-wide standards for software structure, maintainability, and quality, including standards for the responsible use of Agentic AI in implementation.
• Excels in meeting both explicit and implicit user needs.
• Act as a thought leader in software engineering and AI-augmented development - designing prompts, guardrails, and agent workflows that accelerate delivery without compromising quality.
• Teach others to solve problems using multiple languages, technologies, software tools, and AI coding agents.
• Serve as subject matter expert (SME) in several technologies critical to the organization and contribute to setting organizational standards in technology, methodology, and Agentic AI tooling.

• Master of comprehensive testing strategies that include microservices architecture, API contract testing, and end-to-end workflows.
• Apply Agentic AI to author, expand, and maintain test suites, generate edge-case scenarios, and triage failures.
• Provide organizational guidance on testing best practices, including test automation, CI/CD integration, AI-assisted quality engineering, and metrics tracking.

• Partner with other expertise sets to provide prescriptive and anticipatory intelligence.
• Design solutions that efficiently interact with advanced machine learning tools, generative AI services, and cloud-based data services.
• Architect data flows that power Agentic AI use cases (retrieval, grounding, evaluation).
• Set organizational best practices for data management and is considered a Subject Matter Expert.

• Mastery of cloud architecture, designing and guiding the implementation and adoption of cloud-native solutions across the organization.
• Set best practices for cloud service utilization, data migration, complex system integration strategies, and the deployment of AI agents and LLM-backed services.
• Provide technical direction and governance on advanced infrastructure and integrations including resource optimization and AI workload cost management.

• Review analytics to understand user behavior and identify trends in operational metrics to suggest architectural changes.
• Define organizational strategies for operations, including AI-assisted observability, incident response, and self-healing systems.
• Subject Matter Expert in operational best practices, tools, and techniques.
• Understand business impact at a macro level and advocate for protecting company reputation.

• Direct teams in multi-stage threat mitigation and secure coding practices, including secure use of Agentic AI (prompt injection defense, model output validation, data governance for AI agents).
• Develop tools to mediate security holes and offer advanced regulatory compliance guidance, especially as it relates to AI in regulated healthcare contexts (HIPAA, HITRUST).
• Set the standard for security and compliance within the organization.

• Shape the organization's user-centric direction and champion seamless experiences, including AI-native interactions where appropriate.
• Define user interaction patterns for multiple products, fostering consistent experiences.
• Demonstrate deep expertise in user-facing technologies, advocating for best practices and innovations.
• Lead in prioritizing and addressing tech and design debt across the platform.

• Set industry standards in crafting functional and non-functional requirements.
• Orchestrate complex system architectures.
• Fully understand the path of data.
• Manage the balance of engineering future and current needs.
• Set best practices and anti-patterns for the organization.
• Apply Agentic AI to accelerate architecture work - generating design alternatives, evaluating trade-offs, producing ADRs, and reviewing designs against established patterns and…