AI Delivery Lead

<p><strong><span data-contrast="none">Harbor Labs</span></strong><span data-contrast="none"> is a new team within Harbor focused on solving hard AI implementation problems in the legal market. We have strong hypotheses about what works, but we're building this like a startup: learning as we go, adjusting direction based on what the market tells us, and staying flexible about how we operate.</span><span data-ccp-props="{"335559739":200}"> </span></p> <p><span data-contrast="none">We're looking for an </span><strong><span data-contrast="none">AI Delivery Lead</span></strong><span data-contrast="none"> to join at the ground floor. This role sits at the critical intersection between our engineering team and our clients, translating ambiguous business problems into concrete AI solutions, then driving them across the finish line.</span><span data-ccp-props="{"335559739":200}"> </span></p> <p><span data-contrast="none">This is not a management role. You will be hands-on: building AI-powered applications and solutions, designing transformational workflows, running workshops, configuring systems, testing with real data, and working shoulder-to-shoulder with clients to make AI actually useful in their day-to-day work.</span><span data-ccp-props="{"335559739":200}"> </span></p> <hr> <p><strong><span data-contrast="none"><span data-ccp-parastyle="heading 2">What Makes This Different:</span></span></strong><span data-ccp-props="{"134245418":true,"134245529":true,"335559738":280,"335559739":120}"> </span></p> <p><span data-contrast="none">Our edge is combining deep legal domain experience with product sensibility and strong engineering. We understand how legal teams actually work, what change management looks like in risk-averse environments, and how to build software that people will use. We also know the common pitfalls of enterprise software in traditionally low-innovation areas like law, and we're determined to avoid them.</span><span data-ccp-props="{"335559739":200}"> </span></p> <p><span data-contrast="none">We focus on hard, novel problems where standard platforms fall short. The work is ambiguous, the solutions aren't obvious, and that's the point.</span><span data-ccp-props="{"335559739":200}"> </span></p> <h4><span data-contrast="none"><span data-ccp-parastyle="heading 2">What You'll Do:</span></span><span data-ccp-props="{"134245418":true,"134245529":true,"335559738":280,"335559739":120}"> </span></h4> <ul> <li><span data-contrast="none">Own client delivery end-to-end. Lead engagements from problem definition through production deployment. You're accountable for outcomes, not just activity.</span><span data-ccp-props="{}"> </span></li> <li><span data-contrast="none">Translate between business and engineering. Work with legal teams to understand what they actually need (not just what they say they want), then spec solutions our engineers can build.</span><span data-ccp-props="{}"> </span></li> <li><span data-contrast="none">Design AI-native workflows. Figure out where AI fits in existing processes, what needs to change, and how to make the human + AI collaboration actually work.</span><span data-ccp-props="{}"> </span></li> <li><span data-contrast="none">Get your hands dirty with the product. Configure systems, curate and structure knowledge sources, write prompts, design test cases, and validate outputs against real-world data.</span><span data-ccp-props="{}"> </span></li> <li><span data-contrast="none">Drive integrations and architecture decisions. Work with engineers to figure out how AI fits into client tech stacks: APIs, data flows, security requirements.</span><span data-ccp-props="{}"> </span></li> <li><span data-contrast="none">Run enablement and change. Train users and knowledge source owners on how to work with AI systems. Help people understand what AI can and can't do, and design around both.</span><span data-ccp-props="{}"> </span></li> <li><span data-contrast="none">Help build Harbor Labs itself. This is a ground-floor opportunity. You'll shape how we work, what we build, and where we go next.</span><span data-ccp-props="{"335559739":200}"> </span></li> </ul> <h4><span data-contrast="none"><span data-ccp-parastyle="heading 2">What We're Looking For:</span></span><span data-ccp-props="{"134245418":true,"134245529":true,"335559738":280,"335559739":120}"> </span></h4> <ul> <li><span data-contrast="none">You define problems, not just solve them. You don't build to spec. You challenge assumptions, ask hard questions, and carve a path through unstructured, complex problem spaces. You can develop a vision when there isn't one.</span><span data-ccp-props="{}"> </span></li> <li><span data-contrast="none">You've shipped AI products or implementations. You understand how these systems actually work: RAG architectures, agentic workflows, prompt engineering, evaluation methods. You've seen what breaks in production.</span><span data-ccp-props="{}"> </span></li> <li><span data-contrast="none">You're deeply fluent in AI, but not captured by hype. You follow what's happening in the space closely and understand current best practices. You also know how to separate signal from noise when every vendor is claiming to be the next breakthrough.</span><span data-ccp-props="{}"> </span></li> <li><span data-contrast="none">You hold current model-provider credentials. Anthropic Academy certifications (AI Fluency: Framework & Foundations, Claude Code, Building with the Claude API, Model Context Protocol) are a strong plus, and current OpenAI Academy coursework counts too. This is a real signal for us, not a checkbox: it shows y