# HMG AMERICA LLC — Generative AI Architect

- Generated: 2026-08-21 11:15:15 AM EDT
- Original/canonical posting: https://www.linkedin.com/jobs/view/4455698925/
- LinkedIn job ID: 4455698925
- Posted: approximately 2026-08-20 12:15 PM EDT (LinkedIn displayed '23 hours ago'); exact timestamp unavailable
- Applicants: 58 applicants
- Work model/location: Remote, United States
- Compensation: Not disclosed
- Travel: Travel as needed (unbounded)
- Positioning track: Technical IC
- Fit outcome: FAIL — 88%

## Fit decision

FAIL. Very strong GenAI, RAG, agents, orchestration, Python, AWS, Kubernetes, governance, evaluation, observability, MCP, and client-facing architecture fit.

## Direct-match strengths

Very strong GenAI, RAG, agents, orchestration, Python, AWS, Kubernetes, governance, evaluation, observability, MCP, and client-facing architecture fit

## Hard or material gaps

Hard policy failures: compensation is undisclosed for a non-Senior-Director/VP/Chief title, and required travel is unquantified ('as needed'), so it cannot be verified within Keith's 5% cap. CrewAI, AutoGen, Pinecone, Weaviate, FAISS, and ChromaDB are not source-supported.

## Weighted evidence map

| Requirement | Weight | Evidence score | Evidence |
|---|---:|---:|---|
| Enterprise GenAI and agentic architecture | 3 | 3 | Direct production LLM, RAG, agents, LangChain/LangGraph, MCP, and orchestration evidence. |
| Python and cloud-native delivery | 3 | 3 | Direct Python, FastAPI, AWS, Docker, Kubernetes, CI/CD, and CDK. |
| Governance, security, evaluation, and observability | 2 | 3 | Direct IDW and MassMutual evidence. |
| Client-facing architecture leadership | 2 | 3 | Advised 200+ AWS enterprises and NorthBay clients. |
| Named framework breadth | 1 | 1 | OpenAI, Claude, LangChain, LangGraph, AWS, and Vertex AI supported; several listed alternatives are not. |
| Compensation and travel | 3 | 0 | Undisclosed pay at Architect title and unbounded travel conflict with Keith's gates. |

## Keyword diagnostic

High direct overlap on the central architecture mandate, but unsupported named frameworks and the compensation/travel gates prevent PASS.

## Full normalized job description

Job Title: Gen AI Architect Location: Remote (USA) – Travel as Needed Employment Type: Full-Time About the Role We are seeking an experienced Generative AI Architect (Level 4) to lead the design, architecture, and implementation of enterprise-scale AI solutions. The ideal candidate will have deep expertise in Large Language Models (LLMs), Agentic AI, Retrieval-Augmented Generation (RAG), AI orchestration frameworks, and cloud-native architectures. Key Responsibilities Design and implement enterprise-grade Generative AI and Agentic AI solutions. Architect scalable AI platforms leveraging LLMs, RAG, vector databases, and multi-agent systems. Lead solution design using OpenAI, Claude, Gemini, Llama, and other foundation models. Develop AI architectures on AWS, Azure, or GCP with a focus on security, scalability, and performance. Define best practices for prompt engineering, model evaluation, AI governance, and Responsible AI. Collaborate with business stakeholders to translate business requirements into AI-driven solutions. Lead technical teams through architecture reviews and solution delivery. Establish MLOps/LLMOps practices for deployment, monitoring, and model lifecycle management. Mentor AI engineers and development teams on GenAI technologies. Required Qualifications Bachelor's or Master's degree in Computer Science, AI, Data Science, or related field. 10+ years of overall IT experience with software engineering, cloud architecture, or AI/ML. 3+ years of hands-on Generative AI architecture experience. Strong expertise in Python and AI development frameworks. Experience with: OpenAI, Claude, Gemini, Llama LangChain, LangGraph, CrewAI, AutoGen RAG architectures and Vector Databases (Pinecone, Weaviate, FAISS, ChromaDB) AWS Bedrock, Azure OpenAI, Google Vertex AI Docker, Kubernetes, CI/CD, MLOps/LLMOps Strong understanding of AI governance, security, compliance, and Responsible AI. Excellent communication and client-facing skills. Preferred Qualifications Experience designing Agentic AI and multi-agent architectures. Knowledge of MCP (Model Context Protocol) and AI agent ecosystems. Experience with AI observability, evaluation frameworks, and guardrails. Consulting or customer-facing architecture experience. Relevant cloud certifications preferred.

## Artifact metadata

- Resume and cover letter: Not generated under the fit gate.
- Archived JD capture: https://files.keithsteward.com/HMG_AMERICA/Keith_Steward_Generative_AI_Architect_4455698925_JD_capture.md
- Google Drive used: No