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Enterprise Claude Consultant​/Architect

Job in Milwaukee, Milwaukee County, Wisconsin, 53244, USA
Listing for: Teklabs Inc
Full Time position
Listed on 2026-07-17
Job specializations:
  • Software Development
    AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 180000 - 260000 USD Yearly USD 180000.00 260000.00 YEAR
Job Description & How to Apply Below
Position: Enterprise Claude Consultant / Architect

Updated Role:
Enterprise Claude Consultant / Architect

We are seeking a senior consultant with hands‑on experience standing up Anthropic Claude in a production enterprise environment. This is not a general AI/ML or Azure OpenAI‑focused role. The ideal consultant has helped a large organization deploy Claude at scale, including agent and skill development, secure data/tool connectors, governance, and safe sharing of AI assets across teams.

What This Person Will Do
  • Lead the enterprise rollout of Anthropic Claude across teams and business functions.
  • Design and deploy Claude‑based agents, skills, workflows, and reusable AI assets.
  • Build secure connectors between Claude and internal data sources, applications, and enterprise tools.
  • Establish governance models for safely sharing agents, skills, prompts, workflows, and connectors across teams.
  • Define permissioning, access controls, guardrails, versioning, and risk controls for enterprise AI adoption.
  • Partner with business and technical stakeholders to identify high‑value Claude use cases and prioritize implementation.
  • Advise on best practices for Claude development, prompt/workflow design, testing, evaluation, and ongoing optimization.
  • Help teams move from experimentation to secure, scalable, production‑ready Claude usage.
What We’re Looking For
  • Proven experience deploying Anthropic Claude in production for a large organization.
  • Experience building Claude agents, skills, workflows, or similar reusable AI capabilities.
  • Strong understanding of enterprise connectors into internal data, systems, and tools.
  • Experience with governance, security, permissioning, and safe cross‑team sharing of AI assets.
  • Ability to work with both business stakeholders and technical teams.
  • Comfort operating as both a strategic advisor and hands‑on execution partner.
  • Experience helping organizations move from AI pilots to enterprise‑wide adoption.
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