AI Deployment Lead

Transformworks is an AI implementation firm built for private equity. We partner with PE firms managing $10B+ in AUM to deploy AI across their portfolio companies in healthcare, education, and financial services.

We're profitable, growing fast (2x'd revenue in our most recent month), and doing it with a lean team that punches well above its weight. We own the full lifecycle from strategy through production deployment.

Our view is that AI has fundamentally changed what one great engineer with business judgment can accomplish. We're built around that. Rather than staffing large teams, we hire a small number of exceptional people, give them real ownership over client engagements, and pay them based on outcomes and speed. Compensation is uncapped and tied directly to the profit generated on the work you lead — every engagement has a P&L, and the people who do the work share in the upside. Quarterly, in cash, fully transparent.

This is a founding hire. Equal parts strategy and engineering. You'll be in the room with executive teams deciding where to deploy AI, then leading the build.

On the strategy side, you will:

• Lead AI discovery engagements with C-suite and operating partners at PE portfolio companies

• Identify the highest-ROI automation and intelligence opportunities across operations, revenue cycle, and customer experience

• Translate business problems into technical architectures and build/buy/partner recommendations

• Present findings and roadmaps to executive stakeholders who care about EBITDA impact

On the engineering side, you will:

• Design and build AI systems end-to-end: LLM integrations, workflow automation, data pipelines, and custom tooling

• Lead a growing technical team as we scale delivery capacity

• Own production reliability and iterate based on real-world performance

• Make pragmatic technology choices — the simplest thing that works

You'll start embedded on existing client engagements alongside the founding team. As you build a track record, you take on more: leading engagements independently, owning client relationships, building a team underneath you.

• 2-7+ years in software engineering, ML/AI, or applied data science

• Track record of shipping AI/ML systems to production, not just prototypes

• Strong fundamentals in Python and modern AI tooling (LLMs, RAG, agents, orchestration frameworks)

• Can talk to a CEO on Monday and write production code on Tuesday

• Comfortable building process from scratch — this is a founding role with real ambiguity

• Bonus: experience in healthcare, education, or professional services

• Bonus: prior exposure to private equity, consulting, or B2B services

• $200k+ base salary

• % of gross profit on engagements you lead, paid quarterly in cash

• Target total comp: $250-325k in year 1, $325-450k in year 2, $450-650k+ as you build a team

• Full visibility into engagement P&Ls

• Path to firm-level profit sharing for people who build a practice