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Lead AI/ML Software Engineer

Posted: 08/05/2025

H&R Block AI/ML Platforms Team is looking for an experienced Lead Engineer to join a high-powered team to build & manage AI/ML platforms and solutions. You will be joining an elite team of software & data engineers charged with developing transformative AI/ML engineering capabilities to power the next generation of HRB client experiences. This role requires collaboration with stakeholders to understand both technical and business requirements, manage delivery of AI/ML engineering platforms used by all ML & engineering squads at H&R Block.


Day to day you'll...

  • Use tools, languages, coding standards and best practices to develop new product features and continually enhance product functionality
  • Create and execute unit tests and address identified defects
  • Work closely with other team members to ensure consistent understanding of requirements and approach
  • Work closely with the Product, UX Design and other related teams to ensure consistent understanding of requirements and approach
  • Evaluate & assess leading MLOps & LLMOps platforms in the market.
  • Deploy, integrate & manage MLOps & LLMOps platforms & capabilities to support product engineering & AI/ML teams.
  • Identify, design & build technical features to support scalability, usability, resiliency and better platform performance
  • Assist and drive technical design and code reviews for new enhancements and maintenance work delivered by the development team
  • Understand complex business and functional requirements and produce technical specifications and platform requirements
  • Mentor and coach other team members on the latest technological advances within the current technology used and establish consistent best practices
  • Strong ability to partner and effectively work across the organization with line of business and technology colleagues.

 

 

What you'll bring to the team...


Education:

  • Bachelor’s degree in a related field or the equivalent through a combination of education and related work experience.

Work Experience:

  • 8+ years of experience building technology platforms & solutions.
  • 5+ years of experience with .Net, Python & Azure platforms & services.
  • 2+ years of experience with full lifecycle of AI/ML models & solutions – from development to testing, deployment & monitoring
  • 2+ years of experience deploying MLOps & LLMOps platforms & solutions.
  • Experience working with agile methodologies (SCRUM and/or Kanban).
  • Experience with Azure DevOps platform including source control management systems and continuous integration/deployment environments.
  • Experience developing engineering solutions to meet functional & non-functional requirements.
  • Excellent communication and problem-solving skills

 

It would be even better if you also had...

 

 

  • Experience building enterprise-grade engineering platforms.
  • Experience with multiple leading MLOps & LLMOps platforms, including Azure ML Studio, Databricks Mosaic AI.
  • Experience with Azure PaaS services for infrastructure management

thank you to our sponsors:

Visionary Sponsor

Cornerstone Sponsors

Industry Partners

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