Senior Architect, Anthropic Enablement

At Nimble Gravity, we help organizations turn data, AI, and technology into measurable business results. This role sits at the technical core of our Anthropic practice — leading the conversations, demos, and delivery sessions that show clients exactly what Claude Code and Claude Cowork can do, and where the next phase of work lives. 

You'll be the person in the room — often the only Nimble Gravity person in the room — with 20+ engineers or advanced knowledge workers who expect real answers, not a script. You'll also be in the room earlier than that: on discovery calls and technical scoping sessions, helping prospects understand what's possible before they've signed anything. This is a build-and-teach role. If you haven't personally configured agentic workflows, written custom skills, or wired up MCP integrations, this isn't the seat. 

• →Lead technical pre-sales: Partner with sales and delivery leadership on active opportunities — run technical discovery, scope proof-of-concept builds, and deliver live demonstrations of Claude Code and Claude Cowork tailored to a prospect's actual environment and workflows. 
• →Deliver advanced technical enablement: Design and lead hands-on sessions for 20+ engineers or technical business users at a time — covering agentic coding workflows, custom skills, MCP server integrations, subagent orchestration, permission and tool-access models, and how to fit Claude Code and Cowork into existing engineering practice. 
• → Hold technical ground solo: Field detailed questions on architecture, context management, tool permissions, data flow, security posture, and failure modes — live, without deferring to "someone technical" who isn't in the room. 
• → Frame the business case: Work with client stakeholders to identify high-value workflows, map them to what Claude Code and Cowork can actually do, and translate that into a business case business leaders will act on. 
• → Spot and scope follow-on work: Treat every workshop and demo as a discovery exercise — identify where a client's next engagement lives, and feed that directly into proposals, SOWs, and delivery roadmaps. 
• → Build reusable technical assets: Create demo repos, sample skills, workshop curricula, and reference architectures that make every future engagement faster to stand up. 
• → Navigate regulated environments: Advise financial services, insurance, and other regulated clients on secure, compliant configurations of Claude Code and Cowork — governance, audit trails, and data handling included. 
• → Measure what matters: Track technical adoption depth, workshop-to-pipeline conversion, and follow-on scope generated — real numbers, not attendance counts. 

• 8+ years in software engineering, solutions architecture, or technical consulting, with recent hands-on depth in agentic AI systems — this is a senior architect–level technical role, not an enablement generalist role 
• Deep, current, hands-on fluency with Claude Code and Claude Cowork specifically — configuring skills, MCP servers, subagents, and permission scopes, not just familiarity from the outside 
• A specific, named example of something you've built with agentic AI tooling: a custom skill, an MCP integration, a multi-step agent workflow, a CI/CD pipeline with an agent in the loop 
• Proven experience presenting to large (20+) technical audiences and holding your own against skeptical senior engineers with no one else backing you up 
• Pre-sales or technical sales engineering experience — discovery calls, live demos, SOW scoping, or technical proposal input 
• The judgment to translate technical capability into business value, and to spot where automation or agentic assistance unlocks the next phase of a client's work 
• A track record of turning technical sessions into scoped follow-on engagements — quantifiable in pipeline or expansion revenue, not just satisfaction scores 
• Comfort operating in regulated, enterprise environments, including security and governance review of AI tooling 
• The composure to demo or debug live, in real time, without a script 

• Direct experience in banking, financial services, insurance, or another regulated industry 
• Experience as a sales engineer or solutions consultant at an enterprise software or AI company 
• Contributions to internal Anthropic-based tooling — custom MCP servers, shared skill libraries, or agent orchestration frameworks