Solution Architect - GenAI

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  "active_status": "active"
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    "city": "Irvine",
    "region": "CA",
    "country": "United States",
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  "salary_period": "year",
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{
  "lists": [
    {
      "text": "What You'll Do",
      "content": "<div>\n\n<li>\n<p><strong>Architect GenAI Solutions: </strong>Design end-to-end architectures for AI-powered applications - from LLM selection and prompt engineering through orchestration, retrieval-augmented generation (RAG), and integration with enterprise data environments.</p>\n</li>\n<li>\n<p><strong>Build and Orchestrate Agents: </strong>Go beyond design - build agentic AI workflows using frameworks like LangChain, LangGraph, AutoGen, CrewAI, or similar. You know how to orchestrate multi-agent systems and have shipped something real.</p>\n</li>\n<li>\n<p><strong>Own the AI Stack: </strong>Work across the full GenAI delivery stack: LLM APIs (OpenAI, Anthropic, Azure OpenAI, AWS Bedrock), vector databases, RAG pipelines, evaluation frameworks, and deployment infrastructure.</p>\n</li>\n<li>\n<p><strong>Bridge to Enterprise Systems: </strong>Integrate GenAI solutions with existing enterprise architecture - data platforms, APIs, identity and access controls, and compliance requirements. Make AI work within the constraints of real organizations.</p>\n</li>\n<li>\n<p><strong>Advise Client Leadership: </strong>Translate technical architecture decisions into clear strategic narratives for client leadership. Help clients move from AI experimentation to AI-enabled operations.</p>\n</li>\n<li>\n<p><strong>Accelerate the Team:&nbsp;</strong>Bring patterns, reusable components, and technical standards to the delivery team. Be the person who makes everyone else faster.</p>\n</li>\n\n</div>"
    },
    {
      "text": "What You'll Bring",
      "content": "<div>\n\n<li>\n<p><strong>Hands-On GenAI Experience: </strong>You have built production or near-production GenAI systems - not just demos. You've wrestled with evaluation, hallucination, latency, and cost at the architecture level.</p>\n</li>\n<li>\n<p><strong>Agentic AI Fluency: </strong>Practical experience building agentic workflows and multi-agent systems using frameworks like LangChain, LangGraph, AutoGen, CrewAI, or similar. You understand where these tools shine and where they fall apart.</p>\n</li>\n<li>\n<p><strong>LLM Platform Breadth: </strong>Hands-on experience with major LLM platforms and APIs: OpenAI, Anthropic Claude, Azure OpenAI, AWS Bedrock, or equivalent. You know the trade-offs between them.</p>\n</li>\n<li>\n<p><strong>Engineering Foundation: </strong>Strong Python skills and comfort in cloud-native environments (AWS, Azure, or GCP). You can write the code, not just spec it.</p>\n</li>\n<li>\n<p><strong>Data Architecture Context: </strong>Understanding of how AI systems consume data - vector stores, embeddings, RAG architectures, and the data infrastructure that sits underneath production AI applications.</p>\n</li>\n<li>\n<p><strong>Consulting &amp; Communication: </strong>Experience working in client-facing or consulting delivery contexts. You can navigate organizational complexity and explain AI architecture to both technical teams and senior business stakeholders.</p>\n</li>\n<li>\n<p><strong>Builder Mentality:&nbsp;</strong>You default to building. You use AI tools to accelerate your own work. You're excited to operate at the frontier of what's actually deployable in enterprise environments - not just what's theoretically possible.</p>\n</li>\n\n</div>"
    },
    {
      "text": "Benefits",
      "content": "<div>\n\n<li>Competitive salary with performance-based bonus</li>\n<li>PTO, holidays, and sabbatical program</li>\n<li>Health, dental, vision, and life insurance</li>\n<li>Retirement plan with company match from day one</li>\n<li>Learning and professional development support</li>\n<li>Small-firm culture with direct access to leadership</li>\n\n</div>"
    }
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  "country": "US",
  "createdAt": 1779144579289,
  "updatedAt": null,
  "categories": {
    "team": "Data",
    "location": "Irvine, CA",
    "commitment": "Full-Time",
    "department": "Solutions",
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      "Irvine, CA",
      "Los Angeles, CA"
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