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# Solutions Architect

- **Company:** Moring AI Infraa Inc
- **Location:** Milton, GA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** LangGraph Framework, Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Audit Trail, Microsoft Azure, Cloud Computing, Computer Programming, Data Security, Identity and Access Management, Python (Programming Language), Network Control, OpenAI, Software Engineering, Google Cloud, Retrieval-Augmented Generation, Large Language Models, Kubernetes, CrewAI, Semantic Kernel, AIOps
- **Published:** November 12, 2026
- **Apply:** https://www.careerbuilder.com/job-details/solutions-architect-alpharetta-ga--bf3ab852-046a-4888-9336-d2cddcc3be12

## About the Role

Product Demonstration, Artificial Intelligence (AI) Agents, Proof of Concept, Computer Programming, Risk, Artificial Intelligence (AI), Fortune 500 Customers, Asset Management, Financial Services, Use Cases, * 8+ years in software engineering, solutions engineering, solutions architecture or forward-deployed engineering for enterprise customers

 * Hands-on experience building LLM applications or agents: prompt and tool design, RAG, evaluation, and at least one framework such as LangGraph, CrewAI, Semantic Kernel or the OpenAI or Anthropic agent SDKs
 * Strong Python, plus working knowledge of APIs, containers and one major cloud
 * You can explain an architecture to an engineer and its business case to a CIO in the same meeting
 * Comfort in regulated environments, where governance, auditability and access control decide the deal
 * Consulting experience: client-facing work at a consulting firm or systems integrator, scoping engagements, running workshops and owning outcomes with enterprise stakeholders
 * Solid understanding of agentic tools, AI governance and agent deployment: tool calling and MCP, guardrails and policy controls, access management, observability and audit trails, and taking agents from pilot to production at enterprise scale, * Experience selling to, or working inside, financial services
 * Kubernetes, observability or AIOps tooling
 * Cloud or AI certifications (AWS, Azure, GCP)
 * A public demo, repo, talk or post about something you built with agents

We don't expect you to match every line. If you've built with LLMs and enjoy putting that work in front of customers, we'd like to hear from you.

## Description

* Discover: run technical discovery with CIOs, platform-engineering and risk teams at banks, insurers and asset managers. Map their systems, data and controls to the agent use cases that matter
 * Demo: build tailored demos of agent workflows and the AI Control Plane, using the customer's own scenarios where you can
 * Prove: scope and deliver 2-6 week proofs of concept. Write the code, wire up integrations, measure results against agreed success criteria
 * Design: produce reference architectures for agent deployment on AWS, Azure or GCP, covering identity, data access, observability and guardrails
 * De-risk: answer security, compliance and model-risk questionnaires (SOC 2, data residency, audit logging, human-in-the-loop controls)
 * Hand off: turn every won POC into a delivery plan our forward-deployed engineers can run with from day one
 * Feed back: bring field patterns to product, and build reusable demo assets, templates and starter agents for the team