Applied AI Engineer II - Encore Program

Deloitte is hiring an Applied AI Engineer II through the Encore program in New York, NY (onsite).

Responsibilities

• Drive a culture of accountability for customer and business outcomes, including the cost of delivering them
• Build engineering solutions for complex problems with measurable value using lean design and implementation
• Own inference, token, and cloud cost for what you build
• Act as a technical advocate to ensure code integrity, feasibility, and alignment to business and customer goals
• Participate end to end in requirement analysis, component design, development, testing, integrations, and support
• Maintain accountability for code design integrity, implementation fidelity to architecture and the tech stack, quality, data, and ongoing maintenance/operations
• Be hands-on and self-driven; continuously learn new approaches, languages, and frameworks
• Create technical specifications and write high-quality, supportable, scalable code while meeting or exceeding quality KPIs
• Deliver lean solutions through rapid, inexpensive experimentation to address customer needs
• Engage with customers and product teams before, during, and after delivery to ensure the right solution is shipped at the right time
• Adopt action and evidence over extensive planning; use a leaning-forward approach to navigate uncertainty with maintainable solutions
• Collaborate with empowered, cross-functional teams including product management, experience, and delivery
• Integrate diverse perspectives to balance feasibility, viability, usability, and value
• Build and improve team synergy and innovation through collaboration
• Apply modern software engineering practices, including AI and Agentic SSDLC, to enable daily deployments with full automation from discovery to production to operations with quality checks across the SSDLC lifecycle
• Learn to role model these techniques to optimize solutioning and delivery
• Grow domain knowledge quickly to support the business or product
• Translate business/user needs and UX/UI designs into technical specifications and code
• Support teammates, focus on quality, and drive tech debt payoff
• Communicate complex technical concepts clearly and persuasively; influence through evidence-based trade-off discussions
• Create coherent technical narratives aligned to business objectives
• Collaborate with product engineering teams across organizational levels, including customers as needed
• Maintain constructive co-creation relationships and build shared momentum toward product goals
• Align perspectives and drive consensus for feasible solutions

Requirements

• Bachelor’s degree in computer science, software engineering, data science, machine learning, or related discipline (experience is the most relevant factor)
• 3+ years of experience with most of the following: Angular, React, NodeJS, Python, C#, .NET, Java, SQL/NoSQL, PyTorch, TensorFlow, LangChain, LangGraph, and unit testing frameworks
• 2+ years building AI/ML and agentic applications, including hands-on GenAI experience across LLM integration (OpenAI, Anthropic, or open-source models), RAG pipelines, prompt engineering, vector databases, evaluations, and AI agent orchestration
• 2+ years cloud-native engineering using FaaS, PaaS, or micro-services on Azure, AWS, or GCP, including AI/ML services such as Azure OpenAI, AWS Bedrock, or Vertex AI
• Application-level infrastructure-as-code and cost-aware engineering with FinOps accountability
• Prior software engineering experience including understanding Business Context Diagrams (BCD), sequence/activity/state/entity relationship/data flow diagrams, OOP/OOD, data structures, algorithms, and AI-augmented spec-driven development
• Experience with methodologies and tools such as XP, Lean, DevSecOps, SRE, ADO, GitHub, SonarQube, MLflow, and agentic AI frameworks (for example LangFuse, LangSmith, or equivalent multi-agent orchestration tools) to deliver high-quality products rapidly
• Ability to travel 10% on average
• Limited immigration sponsorship may be available
• Candidates must be located within a commutable distance to one of the select locations for this role
• Ability to work in the local office at a minimum of 3 days per week

Technologies

• Angular, React, NodeJS, Python, C#, .NET, Java
• SQL/NoSQL
• PyTorch, TensorFlow
• LangChain, LangGraph
• Unit testing frameworks
• OpenAI, Anthropic
• RAG pipelines, prompt engineering, vector databases
• AI agent orchestration, multi-agent orchestration tools
• FaaS, PaaS, micro-services
• Azure, AWS, GCP
• Azure OpenAI, AWS Bedrock, Vertex AI
• Infrastructure-as-code, FinOps accountability
• Business Context Diagrams (BCD), OOP/OOD
• DevSecOps, SRE
• ADO, GitHub, SonarQube, MLflow
• LangFuse, LangSmith
• Agentic SSDLC
• UX/UI

Benefits

• Discretionary annual incentive program eligibility, subject to program rules and factors such as individual and organizational performance

The Team

• US Deloitte Technology Product Engineering modernized software and product delivery with a scalable, cost-effective model focused on value and outcomes
• As Deloitte’s primary internal development team, Product Engineering delivers innovative digital solutions for businesses, service lines, and internal operations with proven bottom-line results and outcomes
• Develops and deploys cutting-edge internal and go-to-market solutions to help Deloitte operate effectively and lead in the market
• Built on a tradition of delivering with excellence

Deloitte Encore Program

• Designed to enable professionals who have left the workforce to return to work with confidence
• Provides skill improvement in a client service environment, plus mentorship for professional growth
• Opportunity to reignite a professional career

Role Overview

• Hands-on engineering craft building and enhancing high-visibility full-stack products using applied AI and agentic capabilities
• Collaborate end to end from concept through production to serve business and users
• Leverage full-stack engineering and modern frameworks along with applied AI fluency to integrate GenAI and agentic capabilities directly into delivered products
• Deliver high-quality, outcome-focused solutions while collaborating with cross-functional teams

Location: New York, NY (onsite)

Salary range: USD 102,500 - 188,900 per year

Minimum experience: 3 years

Wage range note: Range reflects factors used in compensation decisions and may not be adjusted for geographic differential; typical hiring is not at the top of the range.