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Overview: Senior AI leader responsible for defining the end-to-end architecture and strategy for large-scale AI programs. You drive enterprise adoption of AI, lead complex customer engagements, and act as a technical authority for clients, partners, and delivery teams. The role blends executive strategy with hands-on design and prototyping, with focus on Anthropic technologies and measurable business outcomes. Travel up to 25% and work across cross-functional teams to shape scalable AI solutions. Compensation / Benefits Medical, Dental, and Vision 401(k) Retirement Plan Life Insurance Short and Long-Term Disability Health Spending Account (HSA) Paid Time Off
Responsibilities: Define end-to-end architecture for large AI programs (rollout, agent/app development, integration, security, governance, observability, operations) Establish target-state architecture, guardrails, and decision frameworks aligned with business priorities Escalation point for complex architecture, integration, performance, and governance challenges Lead AI discovery and readiness assessments, prioritize use cases by value, feasibility and risk Conduct architecture workshops, proofs of concept, and technical evaluations with clear success criteria Join solution calls and lead architecture on engagements, balancing multiple priorities Design and execute adoption strategy for Claude, including security and access Lead build of custom agents and solutions using Anthropic APIs/SDKs (Claude) Coordinate architects and technical leads to ensure quality, risk management, and outcomes alignment Manage relationships with Anthropic, OpenAI, and other partners; collaborate with AWS/Azure/GCP/Salesforce teams Mentor architects and engineers; contribute to offerings, accelerators, and reusable assets Support pre-sales, solution strategy, risk reviews, staffing assumptions Shape AI Shared Services offerings and governance standards Ensure responsible AI with identity, least-privilege, privacy, auditing, and cost controls Stay current on model releases, agentic patterns, and partner ecosystem Travel up to 25% to client locations and work across distributed teams
Key requirements: 10+ years in enterprise technology, software/architecture, or professional services with 5+ years leading complex enterprise architecture Deep hands-on experience with AWS, Azure, GCP, or Salesforce for enterprise clients 2+ years delivering production generative AI and agentic solutions with Claude or comparable frontier models Experience deploying Claude API/Claude Code/Claude for Enterprise and Anthropic tooling (MCP) across cloud platforms Strong competency in agent orchestration, tool calling, memory/state management, RAG, vector/Hybrid retrieval, prompt engineering, observability, and production AI ops Experience integrating AI with enterprise apps, data platforms, identity, and business workflows including security and cost optimization Proficiency in Python and another programming/scripting language; CI/CD and IaC Proven success leading large, cross-team programs and architecture review boards Strong executive communication for technical and non-technical audiences Ability to travel up to 25% and operate across time zones Executive communication Leadership and mentorship Cross-functional collaboration Anthropic Claude (Claude API, Claude Code, Claude for Enterprise) Anthropic agent development tooling (MCP) OpenAI technologies and APIs

Also on the board Same function, level within a rung

Level

Manager

Location

Dallas, TX

Occupation

Computer Systems Engineers/Architects

Industry

Computer Systems Design Services

Posted

today

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