Director, Forward Deployed Engineering

About Nimble Gravity:

We’re a data, AI and digital engineering consultancy. Certified across Microsoft, Anthropic, and Databricks, we turn AI ambition into working systems for leaders who need results, not roadmaps.

We're looking for a hands-on engineering leader who is as comfortable in a client workshop as in a pull request. You'll build and coach a team that turns ambiguous business problems into working AI systems in production. You'll also spot where the next phase of work lives. 

Key Responsibilities 

• Lead the team: Hire, coach, and grow forward deployed engineers. Set a high bar for technical quality, client communication, and ownership. 

• Own delivery: Be accountable for scope, quality, timelines, and outcomes across multiple concurrent client engagements. 

• Be the technical voice with clients: Run demos, architecture sessions, and delivery workshops that show clients what Claude Code and Claude Cowork can do in their environment. 

• Build alongside the team: Stay close to the code. Prototype, review designs, and unblock the team on agentic workflows, tool use, MCP integrations, and evaluation. 

• Find the next phase: Spot expansion opportunities in the work and partner with account leadership to shape and scope them. 

• Establish repeatable practices: Build reusable patterns, accelerators, and playbooks so every engagement starts further ahead than the last. 

• Collaborate across the business: Work with data, cloud, and digital engineering teams to deliver end-to-end outcomes. 

What We're Looking For 

Required 

• 15+ years in software engineering, with 5+ years leading engineers or technical teams. 

• Experience in client-facing delivery: consulting, solutions engineering, or forward deployed work. 

• Hands-on experience building with LLMs and agentic patterns, including tool use, RAG, workflow orchestration, and evaluation. 

• Strong Python or TypeScript skills, plus solid API design, CI/CD, and cloud fundamentals (Azure, AWS, or GCP). 

• Proven ability to explain complex technical ideas clearly to executives and engineers alike. 

• A track record of taking ambiguous problems to production. 

Preferred 

• Hands-on experience with Claude Code, Claude Cowork, the Anthropic API, or the Model Context Protocol. 

• Experience with AI governance, security, and responsible-use practices in enterprise settings. 

• Background in data science or formal engineering training. 

• Experience in a consulting or professional services environment. 

Core Qualities 

• Ownership: You take responsibility for outcomes, not just tasks. 

• Curiosity and courage: You ask the real questions and challenge assumptions, politely but firmly. 

• Coaching mindset: You grow people and share credit. 

• Adaptability: You're comfortable when the tools change monthly. 

• Pragmatism: You ship w