Principal Genai Engineer

Principal GenAI Engineer at Deloitte, focusing on hands-on engineering to deliver GenAI solutions for customers and business value. This role involves technical leadership, code integrity, customer-centric development, and cross-functional collaboration, emphasizing modern software engineering practices including AI/ML/GenAI and DevSecOps for automated daily deployments.

What you'd actually do

  1. Develop engineering solutions that solve complex problems with valuable outcomes, ensuring high-quality, lean designs and implementations.
  2. Serve as the technical advocate for products, ensuring code integrity, feasibility, and alignment with business and customer goals. Lead requirement analysis, contributing to low-level architecture and component design, development, unit testing, integrations, and support.
  3. Maintain accountability for the integrity of code design, implementation, quality, data, and ongoing maintenance and operations. Stay hands-on, self-driven, and continuously learn new approaches, languages, and frameworks with significant focus on infusing AI/ML/GenAI where possible/appropriate. Create technical specifications, and write high-quality, supportable, scalable code and review code of other engineers, mentoring them, to ensure all quality KPIs are met or exceeded. Demonstrate collaborative skills to work effectively with diverse teams.
  4. Develop lean engineering solutions through rapid, inexpensive experimentation to solve customer needs. Engage with customers and product teams before, during, and after delivery to ensure the right solution is delivered at the right time.
  5. Adopt a mindset that favors action and evidence over extensive planning. Utilize a leaning-forward approach to navigate complexity and uncertainty, delivering lean, supportable, and maintainable solutions.

Skills

Required

  • GenAI & engineering craftsmanship
  • multiple programming languages
  • modern frameworks
  • modern software engineering practices and principles
  • AI/ML/GenAI
  • Agile methodologies
  • DevSecOps
  • full automation from code check-in to production
  • full lifecycle product development

Nice to have

  • mentor
  • technical leadership
  • domain-specific knowledge

What the JD emphasized

  • hands-on approach
  • infusing AI/ML/GenAI where possible/appropriate
  • deliver daily product deployments

Other signals

  • GenAI Engineer
  • deliver solutions
  • infusing AI/ML/GenAI where possible/appropriate
  • deliver daily product deployments using full automation