Job description

ComResource is looking for a Software Architect. Responsibilities: Software Development • Set organization-wide standards for software structure, maintainability, and quality, including standards for the responsible use of Agentic AI in implementation. • 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 in several technologies critical to the organization and contribute to setting organizational standards in technology, methodology, and Agentic AI tooling. Testing & Quality Assurance • Define 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. Data Management • 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, including retrieval, grounding, and evaluation. • Set organizational best practices for data management and serve as subject matter expert. Infrastructure & Integrations • Design and guide 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. Operations • 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. • Serve as subject matter expert in operational best practices, tools, and techniques. Security & Compliance • Direct teams in multi-stage threat mitigation and secure coding practices, including secure use of Agentic AI covering prompt injection defense, model output validation, and data governance for AI agents. • Develop tools to address security vulnerabilities and offer advanced regulatory compliance guidance, especially as it relates to AI in regulated healthcare contexts, including HIPAA and HITRUST. • Set the standard for security and compliance within the organization. Product & User Experience • 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. • Lead in prioritizing and addressing tech and design debt across the platform. Requirements & Design • Set standards in crafting functional and non-functional requirements and orchestrate complex system architectures. • Manage the balance of engineering future and current needs and set best practices and anti-patterns for the organization. • Apply Agentic AI to accelerate architecture work, including generating design alternatives, evaluating trade-offs, producing architecture decision records (ADRs), and reviewing designs against established patterns and constraints. Essentials: • Bachelor's or advanced degree in a related field, or equivalent work experience. • 8+ years of experience, including demonstrated experience leveraging Agentic AI for architecture, technical design, and implementation. • Significant experience creating architecture for complex distributed systems and leading teams through the development of those systems. • 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. • Expert-level experience with multiple client-side and server-side programming languages; Java with Spring Boot and JavaScript React experience preferred. • Expert-level experience developing, deploying, and supporting REST services and microservices. • Expert-level experience with container orchestration platforms and cloud-native architectures. • Expert-level experience with containerization technologies and container-based deployment strategies. • Deep expertise in infrastructure as code (IaC) practices to enable repeatable, auditable, and scalable infrastructure. • Significant experience with relational databases, non-relational databases, messaging systems, and event-driven architecture patterns. • Working knowledge of LLM-backed services, prompt engineering, agent frameworks, evaluation harnesses, and the governance considerations that come with them. • Strong command of service mesh and API gateway patterns for securing and managing microservices at scale. • Experience with GitOps and modern continuous delivery practices for cloud-native platforms. • Experience leading technical due diligence and roadmapping for strategic partnerships, third-party partners, mergers, and acquisitions. • Effective communication and leadership capabilities with the ability to communicate strategy and influence others to align with future state architecture. • Excellent track record of collaborating with stakeholders and contributing to company-wide strategies using industry knowledge and foresight. Req ID: CG26319763

Requirements

Must-haves

ComResource is looking for a Software Architect.
Software Development
Set organization-wide standards for software structure, maintainability, and quality, including standards for the responsible use of Agentic AI in implementation.
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 in several technologies critical to the organization and contribute to setting organizational standards in technology, methodology, and Agentic AI tooling.
Testing & Quality Assurance
Define 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.
Data Management
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, including retrieval, grounding, and evaluation.
Set organizational best practices for data management and serve as subject matter expert.
Infrastructure & Integrations
Design and guide 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.
Serve as subject matter expert in operational best practices, tools, and techniques.
Security & Compliance
Direct teams in multi-stage threat mitigation and secure coding practices, including secure use of Agentic AI covering prompt injection defense, model output validation, and data governance for AI agents.

Nice-to-haves

Expert-level experience with multiple client-side and server-side programming languages; Java with Spring Boot and JavaScript React experience preferred.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aiapici/cdmachine learningllmjavajavascriptreactrest

Platform: avionte
Effort: medium