# Ladders — Principal Architect - Gen AI

- Generated: 2026-09-24 11:20:30 AM EDT
- Original/canonical posting: https://www.linkedin.com/jobs/view/4471437598/
- Provider: LinkedIn
- Posting time: 2 hours ago
- Applicants: Be among the first 25 applicants
- Work model/location: Remote — United States; end employer unidentified
- Compensation: $160,000-$190,000 annually
- Travel: Not disclosed
- Positioning track: Technical IC
- Fit outcome: FAIL — 55%

## Evidence map and direct-match strengths

GenAI architecture, agents, RAG, governance, Python, SQL, vector stores, executive influence, and enterprise integration are strong.

## Hard or material gaps

Independent hard gaps: the disclosed maximum compensation is below $200,000; the role requires seven-plus years specifically in GenAI/agentic capabilities plus proven AWS AgentCore and Azure AI Agent Service expertise, which Keith's record does not establish.

## Full normalized job description

For our client, we are seeking a Principal Architect - Gen AI to join the team of a leader in the Finance & Insurance space.
This role will shape the enterprise Generative AI vision and translate it into a scalable architecture strategy that supports responsible adoption across the organization. The position will partner with executive leaders, governance forums, and cross-functional technology teams to define standards, decision rights, and patterns for AI delivery. The work will focus on multi-agent systems, retrieval-augmented generation, and integration approaches that connect AI capabilities with both legacy and modern platforms.
Location: Remote - US based candidates only, no visa sponsorship available
Compensation: $160,000 – $190,000 annually
Responsibilities
Own and develop the enterprise Generative AI architecture vision and roadmap
Lead executive architecture and AI governance forums, establishing decision rights and adoption processes
Define reference architectures and standards for scalable AI adoption across the enterprise
Implement strategies for multi-agent orchestration and lifecycle management of agentic systems
Establish best practices and standards for Retrieval-Augmented Generation and knowledge governance
Define enterprise integration patterns to connect AI solutions with legacy and modern platforms
Lead the AI architecture portfolio to prioritize capabilities for business value and risk management
Qualifications
Master's degree in AI, Machine Learning, Computer Science, Engineering, or a related field preferred
10+ years of experience in enterprise or large-scale solution architecture, with 7+ years specifically in GenAI and Agentic AI capabilities
Proven expertise in AWS AgentCore and Azure AI Agent Service, including mastery of agentic frameworks
Experience establishing AI governance and operationalizing AI solutions within compliance constraints
Strong technical skills in Python, SQL, PySpark, and vector stores
Benefits
Opportunities for professional development and continuous learning
Flexible work environment with remote work options
Involvement in innovative projects at the forefront of AI technology
Collaboration with senior leadership and cross-functional teams
Access to advanced technology platforms and tools
Our client is an equal opportunity employer. We encourage you to apply even if you don’t meet every qualification—your background could be exactly what this team needs.