Partner Solution Lead - Anthropic AI Solutions - West Region; Principal or Senior Principal

Overview

Principal or Senior Principal, Anthropic AI Solutions – AI Systems & Platforms, Anthropic Business Unit. Note: This role is not eligible for 100% remote work. Employees must live within a commutable distance of one of the listed offices (Los Angeles or San Francisco, CA; Seattle, WA; Denver, CO; or Phoenix, AZ) and must be willing to be onsite at the client and/or Slalom office when needed.

This role could require travel to support the region between 25-35%.

As a modern technology company, we thrive on complex technical challenges. We help clients learn from their data, create exceptional digital experiences, and make the most of emerging technologies. By combining design, engineering, and analytics expertise, we build what’s next. Our technologists work alongside innovative teams and cutting-edge tools to solve meaningful problems. As the Anthropic Partner Solution Lead, you’ll partner with cross functional teams, including industry leaders, sales teams, and solution architects that leads to pre-sales efforts and deliver measurable outcomes.

Together, we use advanced technologies and industry best practices to create scalable, tailored solutions that meet each client’s unique needs.

• Lead the design and delivery of enterprise AI solutions using Anthropic technologies, including large language model integrations, agentic workflows, and retrieval-augmented generation pipelines, to drive measurable client outcomes.
• Serve as a technical subject matter expert across engagements by guiding architecture decisions, model usage, and integration strategies to ensure scalable, secure, and production-ready implementations.
• Build and operationalize Claude Code and Cowork deployments for enterprise clients, including custom skills, MCP connector development, and workflow automation.
• Lead or co-lead AI enablement programs: designing training curricula, running workshops, and building adoption frameworks for enterprise rollouts ranging from dozens to thousands of users.
• Identify and engage Slalom delivery practitioners (AI engineers, change management leads, data architects) to staff and execute engagements.
• Translate client needs into actionable solutions by running technical discovery sessions, shaping solution approaches, and contributing to proposals that convert pipeline opportunities into delivered work.
• Partner with account and market teams to co-sell and co-deliver AI solutions, providing technical credibility throughout the sales lifecycle while supporting partner collaboration and opportunity prioritization.
• Develop and operationalize enterprise AI environments, including governance frameworks, access models, and deployment patterns, to ensure responsible and compliant adoption at scale.
• Enable internal and client teams by leading workshops, building training programs, and creating reusable assets that accelerate adoption and elevate AI capabilities across the organization.
• Contribute to market presence through thought leadership, client presentations, and industry events to expand awareness and credibility of Slalom’s AI capabilities.

• Experience designing and delivering AI/ML or large language model–based solutions in client-facing environments, with the ability to bridge technical depth and business outcomes.
• 7–12+ years of professional experience with meaningful time in a client-facing technical or advisory role at a consulting firm, technology partner, or AI product company.
• Experience managing an individual revenue target of $750,000 to $1.5 Million
• Direct experience with Claude Enterprise, Claude Code, or Cowork, ideally deployed for clients, not just personal use
• Familiarity with Anthropic's MCP ecosystem, Claude Skills, and the Claude API
• Awareness of Anthropic's enterprise pricing model, licensing tiers, and competitive positioning vs. OpenAI, Copilot, and Gemini
• Hands-on experience designing and building with large language model APIs — Claude, OpenAI GPT, or equivalent in production environments
• Working knowledge of MCP (Model Context Protocol) or equivalent tool/connector frameworks for extending AI agents with external data and actions
• Experience with agentic AI…