Deloitte's US Technology Product Engineering team offers a hands-on leadership role in a fast-paced, value-driven environment. This onsite position in Jersey City, NJ blends engineering excellence with customer-focused outcomes, backed by a competitive salary range of $118,700 to $243,700 per year and a discretionary annual incentive program.

Benefits

Discretionary annual incentive program (subject to rules)

The Team

US Deloitte Technology Product Engineering has modernized software and product delivery to create a scalable, cost‑effective model that prioritizes value and outcomes. As Deloitte's primary internal development team, Product Engineering delivers innovative digital solutions to businesses, service lines, and internal operations, driving proven bottom-line results and powering Deloitte’s success. It serves as the engine that propels the firm forward.

Responsibilities

Outcome driven accountability: build solutions that produce measurable customer and business value with lean, high quality designs and implementations.
Technical leadership and advocacy: act as the technical advocate for products, ensuring code integrity, feasibility, and alignment with goals; lead requirement analysis, architecture design, development, testing, integrations, and support.
Engineering craftsmanship: own the integrity of the architecture and tech stack to enterprise standards; manage dependencies, code design, quality, data, and operations; stay hands-on, continuously learn new approaches, and mentor others through code reviews and technical guidance.
Customer centric engineering: deliver lean solutions through rapid, inexpensive experimentation; engage with customers and product teams before, during, and after delivery to ensure the right solution is delivered at the right time.
Incremental and iterative delivery: favor action and evidence over heavy planning; navigate complexity to deliver lean, maintainable solutions.
Cross-functional collaboration and integration: work with product management, experience, and delivery teams; incorporate diverse perspectives to balance feasibility, viability, usability, and value; foster collaboration and innovation.
Advanced technical proficiency: demonstrate deep software engineering practices including AI and agentic SSDLC; deliver daily deployments with full automation from discovery to production while maintaining quality checks throughout the lifecycle; mentor others and model best practices.
Domain expertise: quickly acquire domain knowledge relevant to the business; translate needs into technical specifications and code; contribute as a flexible, quality-focused team member.
Effective communication and influence: clearly articulate complex concepts and trade-offs with evidence; align technical solutions with business objectives through coherent narratives.
Engagement and collaborative co-creation: partner with product engineering teams at all levels and with customers as needed; nurture constructive relationships and drive consensus toward feasible solutions.

Requirements

Bachelor's degree in computer science, software engineering, data science, machine learning, or a related discipline. Experience is a key factor.
6+ 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.
3+ years building AI/ML applications with hands-on GenAI experience across LLM integration (OpenAI, Anthropic, or open-source models), RAG pipelines, prompt engineering, and vector databases.
3+ years cloud-native engineering using FaaS, PaaS, or microservices on Azure, AWS, or GCP, including their AI/ML services such as Azure OpenAI, AWS Bedrock, or Vertex AI.
1+ years establishing engineering standards, including actively leading, mentoring, and guiding teams in adopting and improving those standards.
Background in software engineering with understanding of Business Context Diagrams, sequence/activity/state/entity diagrams, OOP/OOD, data structures, algorithms, code instrumentation, and AI-augmented spec-driven development.
Experience with XP, Lean, DevSecOps, SRE, ADO, GitHub, SonarQube, MLflow and agentic AI frameworks (eg LangFuse, LangSmith) to rapidly deliver high quality products.

Technologies

Angular
React
NodeJS
Python
C#
.NET
Java
SQL/NoSQL
PyTorch
TensorFlow
LangChain
LangGraph
OpenAI
Anthropic
Azure OpenAI
AWS Bedrock
Vertex AI
LangFuse
LangSmith
MLflow
GitHub
SonarQube
ADO
XP
Lean

Travel and Sponsorship

Ability to travel approximately 10 percent, depending on work and product needs.
Limited immigration sponsorship may be available.

Location: Jersey City, NJ onsite. Salary: $118,700 — $243,700 per year. Education: Bachelor's degree. Equal opportunity employer.

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