Applied AI Engineer II - Encore Program

Applied AI Engineer II role at Deloitte, focused on building and enhancing full-stack products with integrated GenAI and agentic capabilities. The role emphasizes outcome-driven accountability, technical leadership, engineering craftsmanship, customer-centric development, and cross-functional collaboration within an iterative delivery framework. Requires expertise in modern software engineering practices and AI/Agentic SSDLC.

What you'd actually do

  1. Embrace and drive a culture of accountability for customer and business outcomes—and for the cost of achieving them. Develop engineering solutions that solve complex problems with valuable outcomes, ensuring high-quality, lean designs and implementations, and owning the inference, token, and cloud cost of what you build.
  2. Serve as the technical advocate for products, ensuring code integrity, feasibility, and alignment with business and customer goals. Participate in requirement analysis, component design, development, testing, integrations, and support.
  3. Maintain accountability for code-design integrity, implementation fidelity to architecture and tech stack, quality, data, and ongoing maintenance and operations. Be hands-on, self-driven, and continuously learn new approaches, languages, and frameworks. Create technical specifications, and write high-quality, supportable, scalable code ensuring 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

  • full-stack software engineering
  • modern frameworks
  • applied AI fluency
  • GenAI
  • agentic capabilities
  • modern software engineering practices and principles
  • AI and Agentic SSDLC
  • full automation from discovery to production to operations
  • domain-specific knowledge
  • technical specifications
  • high-quality, supportable, scalable code
  • collaborative skills
  • communication skills
  • articulating complex technical concepts

Nice to have

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to provide clear guidance to others

What the JD emphasized

  • build GenAI and agentic capabilities
  • AI and Agentic SSDLC
  • owning the inference, token, and cloud cost of what you build

Other signals

  • building and enhancing high-visibility, full-stack products
  • build GenAI and agentic capabilities directly into the products you deliver
  • deliver daily product deployments using full automation from discovery to production to operations with all quality checks through SSDLC lifecycle