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About the Role

Join our AI & Engineering team transforming technology platforms, driving innovation, and helping make a significant impact on our clients' success. You’ll work alongside talented professionals reimagining and re-engineering operations and processes that are critical to business. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation. AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. Engineering as a Service provides complete design, implementation, and technology operations, leveraging our core engineering expertise.

Responsibilities

Architect, design, and implement scalable, reliable, and maintainable full-stack software systems and services.
Design and operationalize RESTful and asynchronous APIs on cloud-native infrastructure (AWS, Azure, or GCP), including containerized workloads, CI/CD pipelines, and infrastructure-as-code.
Lead end-to-end delivery of complex features from requirements gathering through deployment and monitoring.
Architect and deliver production-grade agentic AI and multi-agent applications using popular frameworks such as LangChain, LangGraph, AutoGen, CrewAI, or Semantic Kernel; design patterns including orchestrator-agent hierarchies, RAG pipelines, tool-calling agents, and context/memory management.
Conduct thorough code reviews, enforce coding standards, and champion engineering best practices.
Mentor and guide junior and mid-level engineers, fostering a culture of continuous learning and improvement.
Collaborate with cross-functional teams including Product, Design, DevOps, and QA to deliver high-quality software.
Identify technical debt and proactively drive refactoring and improvement initiatives.
Participate in system design discussions, architecture reviews, and technical planning sessions.
Troubleshoot and resolve complex performance, scalability, and reliability issues in production systems.
Contribute to hiring processes including technical interviews and assessments.

Requirements

5+ years of relevant consulting or industry experience in a hands-on development role, working across borders and as an integral team member.
5+ years of full-stack software development experience with proficiency in at least one back-end language (Python, Java, .NET/C#, Go, or Node.js) and a modern front-end framework.
4+ years building microservices and scalable APIs in a distributed, enterprise environment.
Solid knowledge of relational and/or NoSQL databases (PostgreSQL, MySQL, MongoDB, DynamoDB, etc.).
Experience with cloud platforms (AWS, GCP, or Azure) and containerized environments (Docker, Kubernetes).
Excellent problem-solving skills with a strong ability to debug and optimize complex systems.
Proven track record managing or technically leading delivery teams, including communication cadences and quality assurance across time zones.
Experience delivering software across multiple SDLC methodologies (Agile, SAFe, Kanban, waterfall-agile hybrid).
Ability to travel up to 50% based on the work you do and the clients and industries/sectors you serve.
Limited immigration sponsorship may be available.

Skills

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
Python
Java
.NET/C#
Go
Node.js
Modern front-end framework
Microservices
Scalable APIs
Relational databases
NoSQL databases
AWS
GCP
Azure
Docker
Kubernetes
LangChain
LangGraph
AutoGen
CrewAI
Semantic Kernel
Event-driven architectures
Messaging systems
Kafka
RabbitMQ
SQS
Machine learning pipelines
Data engineering workflows
Large Language Models (LLMs)
Agentic AI architectures
Security best practices
OWASP guidelines
Secure coding standards

Location

Atlanta, Georgia, United States
Austin, Texas, United States
Baltimore, Maryland, United States
Birmingham, Alabama, United States
Boise, Idaho, United States
Boston, Massachusetts, United States
Charlotte, North Carolina, United States
Chicago, Illinois, United States
Cincinnati, Ohio, United States
Cleveland, Ohio, United States
Colorado Springs, Colorado, United States
Columbus, Ohio, United States
Costa Mesa, California, United States
Dallas, Texas, United States
Denver, Colorado, United States
Des Moines, Iowa, United States
Detroit, Michigan, United States
Fort Worth, Texas, United States
Fresno, California, United States
Grand Rapids, Michigan, United States
Hartford, Connecticut, United States
Hermitage, Tennessee, United States
Houston, Texas, United States
Huntsville, Alabama, United States
Indianapolis, Indiana, United States
Jacksonville, Florida, United States
Jersey City, New Jersey, United States
Kansas City, Missouri, United States
Lansing, Michigan, United States
Las Vegas, Nevada, United States
Los Angeles, California, United States
Louisville, Kentucky, United States
McLean, Virginia, United States
Miami, Florida, United States
Milwaukee, Wisconsin, United States
Morristown, New Jersey, United States
Nashville, Tennessee, United States
New York, New York, United States
Philadelphia, Pennsylvania, United States
Pittsburgh, Pennsylvania, United States
Portland, Oregon, United States
Princeton, New Jersey, United States
Raleigh, North Carolina, United States
Richmond, Virginia, United States
Rochester, New York, United States
Rosslyn, Virginia, United States
Seattle, Washington, United States
Stamford, Connecticut, United States
Tampa, Florida, United States
Tulsa, Oklahoma, United States
Wichita, Kansas, United States

Work Type

Full-time

Experience Level

5+ years
4+ years

Education Level

Bachelor's degree in Computer Science, Engineering, or a related discipline — or equivalent professional experience.

Salary/Compensations

$122,000 to $240,500

Benefits

Discretionary annual incentive program
Reasonable accommodations for people with disabilities
Opportunities to build new skills
Leadership opportunities
Mentorship

About the Company

Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ways of thinking, ideas, and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work.
Deloitte’s purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities.
From entry-level employees to senior leaders, we believe there’s always room to learn. We offer opportunities to build new skills, take on leadership opportunities and connect and grow through mentorship. From on-the-job learning experiences to formal development programs, our professionals have a variety of opportunities to continue to grow throughout their career.
As used in this posting, "Deloitte" means Deloitte Consulting LLP, a subsidiary of Deloitte LLP. Please see https://www.deloitte.com/us/about for a detailed description of the legal structure of Deloitte LLP and its subsidiaries.

Equal Opportunity

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.
Qualified applicants with criminal histories, including arrest or conviction records, will be considered for employment in accordance with the requirements of applicable state and local laws, including the Los Angeles County Fair Chance Ordinance for Employers, City of Los Angeles’s Fair Chance Initiative for Hiring Ordinance, San Francisco Fair Chance Ordinance, and the California Fair Chance Act. See notices of various fair chance hiring and ban-the-box laws where available. Fair Chance Hiring and Ban-the-Box Notices | Deloitte US Careers