> Markdown version of [/jobs/ext/4584176-ai-solution-architect](https://www.wearedevelopers.com/jobs/ext/4584176-ai-solution-architect). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Solution Architect - **Company:** SRM Digital LLC - **Location:** Charlotte, NC, United States - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Architectural Patterns, Microsoft Azure, Cyber Security, Data Security, Routing, OpenShift, Generative AI, Agentic-AI, AI Platforms, Kubernetes, Docker, Agent2Agent Protocol - **Published:** November 5, 2026 - **Apply:** https://www.thejobnetwork.com/job/0a89b873-1b03-4791-909f-0063ddd98ce5/ai-solution-architect ## About the Role * 5+ years of Artificial Intelligence Solutions experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education \n * 2+ years of experience delivering platform capabilities end-to-end from discovery and roadmap definition through delivery and adoption with clear success metrics and strong stakeholder alignment \n * 2+ years of hands-on experience with cloud platforms such as GCP or Azure, and container orchestration technologies including Docker and Kubernetes/OpenShift \n, * Experience with agentic AI systems, including planning and routing, tool execution, and multi-step workflows, as well as familiarity with common architectural patterns such as retrieval-augmented generation (RAG) and orchestrated agent workflows \n * Familiarity with emerging standards and interoperability patterns for agent-to-tool and agent-to-agent connectivity, including concepts similar to MCP-style tool integration and A2A communication models \n * Experience integrating enterprise platforms via APIs and connectors, including designing and operating permission models, identity integration, and secure data access patterns \n * Experience building developer-centric products and platforms, such as registries or marketplaces, SDKs and templates, documentation, onboarding flows, and scalable self-service experiences \n * Understanding of AI governance and risk controls in enterprise environments, including operational guardrails, auditability, compliance considerations, and safe deployment practices \n * Strong written and verbal communication skills, with the ability to clearly explain complex technical concepts and influence both technical practitioners and business stakeholders \n ## Description In this role, you will define and deliver the governance, control, and enablement layer that allows teams across the enterprise to design, deploy, and operate AI agents safely and at scale in regulated environments. You will lead the Agentic AI Safety and Security strategy within our Enterprise AI Platform, and you will partner closely with platform engineering, cybersecurity, risk/compliance, and application teams to build industry-leading capabilities such as agent identity and registry, observability and evaluation, responsible AI and data guardrails, and agent behavior controls. This is a high-impact role at the intersection of AI innovation, platform product management, and enterprise transformation, establishing the trusted agentic foundation that accelerates time-to-value while ensuring governance, security, and operational excellence.