Principal Architect – AI

🔥 9 minutes ago

🐊 Florida – Remote

🐊 Florida – Remote

⏰ Full Time

🔴 Lead

🤖 AI Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Sedgwick

WebsiteLinkedInAll Job Openings

10,000+ employees

🏗️ Construction

💼 Consulting

🏥 Healthcare

Construction • Consulting • Healthcare

Sedgwick is a global provider of technology-enabled risk, benefits, and integrated business solutions. They help people and organizations by managing and mitigating risk with solutions in accident, health, disability, unemployment compensation, and liability claims administration, among others. Sedgwick offers services such as claims administration, building consulting, forensic accounting, and forensic engineering. Their specialties include property restoration, brand protection, and loss prevention across several industries, including agriculture, construction, and environmental sectors. The company emphasizes diversity, equity, and inclusion (DEI) as well as environmental, social, and governance (ESG) practices.

📋 Description

• Own and set the enterprise Generative AI and Agentic AI architecture vision and multi-year roadmap • Chair or co-lead executive architecture and AI governance forums • Direct the enterprise intelligence layer strategy, including reference architectures, standards, reusable patterns, and platform capabilities • Define and govern the enterprise agentic AI strategy and platform blueprint • Establish patterns for multi-agent orchestration, reasoning, tool use, memory, human-in-the-loop controls, observability, fail-safes, and model/agent lifecycle management • Set enterprise standards for GenAI and agentic solutions across AWS and Azure • Own the enterprise Retrieval-Augmented Generation strategy and common frameworks • Establish standards for knowledge governance, content provenance, permissions, lineage, data quality, and approved knowledge sources • Define integration patterns connecting AI solutions with legacy platforms and modern cloud services • Partner with Enterprise Architecture, Infrastructure, and Platform teams on identity, networking, monitoring, disaster recovery, and service management • Define shared enterprise data architectures, ontologies, governance models, and operating practices with data, analytics, and platform teams • Establish standards for AI-ready data products, metadata, semantic layers, and data quality thresholds • Serve as executive technical authority to security, risk, legal, compliance, and audit stakeholders • Establish practices for model governance, evaluation, red teaming, bias mitigation, explainability, and controls • Lead the AI architecture portfolio and prioritize capabilities and investments • Define success metrics and track value realization • Partner with Technology and Business leadership to transition AI initiatives into production operations • Build and develop enterprise AI architecture talent, coach senior architects, and create communities of practice • Influence platform/tooling decisions, vendor strategy, and ecosystem partnerships • Represent the organization as a senior AI architecture leader in executive engagements and transformation initiatives • Perform other duties as assigned • Travel as required

🎯 Requirements

• Master’s degree in AI, Machine Learning, Computer Science, Engineering, or a quantitative discipline from an accredited college or university preferred • Ten (10+) years of related, progressive experience in enterprise architecture, platform architecture, or large-scale solution architecture • Seven (7+) years leading delivery and/or architecture of enterprise-scale GenAI, RAG, and Agentic AI capabilities in complex corporate environments • Equivalent combination of education and experience accepted • Executive-level expertise with AWS AgentCore and Azure AI Agent Service • Deep mastery of agentic frameworks such as LangGraph and CrewAI • Experience establishing enterprise AI governance, driving cross-LOB adoption, and operationalizing AI solutions within security, risk, and compliance constraints • Ability to drive alignment and decision-making with executive stakeholders across Technology, Security, Risk, Legal/Compliance, and Lines of Business • Expert ability to bridge Data Science, AI Engineering, and Enterprise Architecture • Advanced mastery of Python, SQL, and PySpark • Deep expertise in vector stores such as Pinecone, OpenSearch, and Azure AI Search • Expertise in LLM platforms and AI/ML lifecycle management • Proven leadership in AWS and Azure enterprise environments • Strong functional exposure to Palantir Foundry/AIP • Demonstrated success operating within a Transformation Office or enterprise innovation function • Ability to translate architecture decisions into measurable outcomes, cost efficiency, operational resilience, and risk reduction • Ability to work in a team environment • Ability to meet or exceed Performance Competencies

🏖️ Benefits

• Work-life balance • Reasonable accommodations when applicable and appropriate • Equal Opportunity Employer • Drug-Free Workplace