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Director, AI Engineering

2 weeks ago

Miami, FL, United States BrightstarAI Full time
Role Summary
  • This is not a traditional Director of Engineering role. You will not be managing teams at a distance or overseeing narrow R&D projects. As Director, AI Engineering, you are a senior technical leader at the forefront of private equity-backed transformation.
  • You will collaborate directly with Brightstar's portfolio companies to lead high-stakes AI interventions-partnering with executives, building cross-functional pods, and ensuring delivery of production-grade AI systems that create measurable enterprise value. You will architect the strategy and technical roadmap, lead engineering execution, and mentor the next generation of AI engineers.
  • Your success will be measured not by activity, but by tangible P&L impact-EBITDA uplift, margin expansion, operational efficiency, and sustained competitive advantage. This is a rare opportunity for a transformational builder who can both lead from the front and scale from the center.
What You'll Do
  • Lead Enterprise-Grade AI Engineering
    • Architect and oversee the design, build, and deployment of scalable AI systems (e.g., RAG systems, agentic AI, predictive models, fine-tuned LLMs) that solve mission-critical challenges.
    • Ensure systems are stable, secure, maintainable, and ready for enterprise-grade adoption.
  • Direct AI Interventions
    • Serve as the technical lead for multiple initiativeswithin portfolio companies, translating strategic objectives into measurable use cases and robust engineering solutions.
    • Reimagine workflows from first principles to embed AI as the digital backbone of operations.
  • Build and Scale Pods
    • Stand up and mentor cross-functional pods (engineers, data scientists, SMEs, designers) that are aligned to Hero Missions and accountable for business KPIs.
    • Ensure pods follow agile rhythms, own end-to-end outcomes, and operate with embedded governance.
  • Partner with C-Suite & Investment Teams
    • Engage directly with portfolio company CEOs, CIOs, and operating executives to align on strategy, size-of-prize, and technical execution.
    • Collaborate with Brightstar's investment professionals to track ROI and ensure interventions deliver sustainable value.
  • Institutionalize AI Engineering Excellence
    • Capture lessons learned from deployments and translate them into reusable best practices, frameworks, and playbooks that can be applied across companies.
    • Evaluate and introduce emerging technologies, tools, and vendors to ensure companies stay at the frontier of AI innovation.
    • Drive knowledge sharing and talent development, building AI fluency across engineering teams, business leaders, and operators to ensure adoption is sustainable.
What You'll Need
  • 10-15+ years of software engineering / ML experience, with a track record of building and deploying production AI systems at scale.
  • Deep technical expertise in system design, data pipelines, cloud infrastructure (AWS/GCP/Azure), and containerization (Docker, Kubernetes).
  • Hands-on experience with AI/ML systems: building RAG frameworks, deploying agentic AI, fine-tuning LLMs, reinforcement learning loops, and integrating with enterprise systems.
  • Proven ability to lead technical teams and manage complex projects across multiple stakeholders.
  • Strong business acumen: able to translate engineering decisions into financial outcomes and communicate effectively with executives and investors.
  • Exceptional communication skills, with the ability to influence at the boardroom level while still diving into the technical trenches.
Nice-to-Haves
  • Experience as a forward-deployed technical leader (e.g., Solutions Architect, Engineering Director, CTO in a transformation context).
  • Background in private equity, venture capital, or high-growth startups, where speed and value creation are paramount.
  • Experience with AI governance, compliance, and risk frameworks.
  • Advanced degree in Computer Science, Engineering, or a related field.