Director, Software Engineering (ai) Onsite - Reston, Va - Freewheel

Comcast Comcast · Media · Reston, VA

Director of Software Engineering (AI) at Comcast's FreeWheel, responsible for guiding AI engineering strategy, overseeing the design and delivery of AI-enabled capabilities, agentic workflows, and intelligent automation. The role involves managing engineering teams, aligning stakeholders, and ensuring responsible production launch of AI capabilities with a focus on quality, reliability, and business impact. Experience launching AI products, LLMs, ML models, and agents into production is required.

What you'd actually do

  1. Creating, enabling, and driving innovation by bringing agentic workflows and AI capabilities into FreeWheel’s applications, helping teams unlock new ways to automate work, improve decision-making, and deliver measurable product and business outcomes.
  2. Managing and developing engineering teams while working closely with product, data, business, and executive stakeholders to deliver on a build-in and built-on AI vision across FreeWheel’s products, including clear cross-functional alignment and executive-level communication on AI strategy and initiatives.
  3. Defining the AI engineering strategy and roadmap in alignment with business priorities, product opportunities, and customer needs.
  4. Guiding teams in the design and delivery of AI-enabled product capabilities, including intelligent automation, decision-support experiences, and reusable patterns that can be applied across applications.
  5. Partnering with internal stakeholders and external partners to identify high-value AI opportunities, clarify business problems, and turn them into practical product and workflow improvements.

Skills

Required

  • 12+ years of software engineering experience, including AI/ML systems
  • 5+ years managing, mentoring, and developing engineering teams at scale
  • Proven experience launching AI-enabled products and bringing LLMs, ML models, agents, or intelligent workflows into production use
  • Strong software engineering background, with experience designing scalable backend services and product capabilities using Python, Go, or similar technologies
  • Experience enabling AI capabilities in cloud-based product environments, such as Azure, AWS, or GCP
  • Strong understanding of how to evaluate, improve, and responsibly operate AI capabilities after launch, with attention to quality, reliability, adoption, and business impact
  • Ability to translate business problems into scalable AI-enabled product solutions and guide teams from concept through launch and ongoing improvement

Nice to have

  • AI/ML systems

What the JD emphasized

  • Proven experience launching AI-enabled products and bringing LLMs, ML models, agents, or intelligent workflows into production use
  • Strong understanding of how to evaluate, improve, and responsibly operate AI capabilities after launch
  • Ability to translate business problems into scalable AI-enabled product solutions and guide teams from concept through launch and ongoing improvement
  • bringing agentic workflows and AI capabilities into FreeWheel’s applications
  • deliver on a build-in and built-on AI vision
  • Defining the AI engineering strategy and roadmap
  • design and delivery of AI-enabled product capabilities
  • identify high-value AI opportunities
  • scale successful patterns across the organization
  • deliver reliable, maintainable, and customer-focused AI capabilities
  • Leading adoption of LLMs, machine learning, and agentic capabilities

Other signals

  • AI engineering strategy
  • delivery of AI-enabled capabilities
  • agentic workflows
  • intelligent automation
  • launching AI-enabled products
  • LLMs, ML models, agents, or intelligent workflows into production use
  • AI capabilities in cloud-based product environments
  • evaluate, improve, and responsibly operate AI capabilities after launch
  • translate business problems into scalable AI-enabled product solutions
  • guide teams from concept through launch and ongoing improvement
  • bring agentic workflows and AI capabilities into FreeWheel’s applications
  • unlock new ways to automate work, improve decision-making
  • Defining the AI engineering strategy and roadmap
  • design and delivery of AI-enabled product capabilities
  • intelligent automation, decision-support experiences, and reusable patterns
  • identify high-value AI opportunities
  • scale successful patterns across the organization
  • deliver reliable, maintainable, and customer-focused AI capabilities
  • Leading adoption of LLMs, machine learning, and agentic capabilities