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# Agentic Software Engineering Solutions Lead

- **Company:** Deloitte T.T.L.
- **Location:** Mechanicsburg, PA, United States
- **Experience:** Expert
- **Salary:** $159,100.0 - $265,100.0
- **Contract:** Permanent contract
- **Skills:** Agile Methodology, Artificial Intelligence, Data Analysis, JIRA, Microsoft Azure, Information Systems, Computer Engineering, Scrum Methodology, Software Engineering, Prompt Engineering, Generative AI, Information Technology
- **Published:** August 9, 2026
- **Apply:** https://www.juju.com/job/00000000gm7w2w

## About the Role

+ 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 mentor and provide clear guidance to others, + Bachelor's degree in Computer Science, Computer Engineering, Information Systems, Data Science, Business Analytics, or Mathematics

 + 8+ years of experience in software engineering, software delivery, or technical program delivery

 + 3+ years of experience leading engineering teams, delivery teams, or technical workstreams

 + Experience defining requirements, user stories, acceptance criteria, and delivery plans for software or artificial intelligence solutions

 + Experience with generative artificial intelligence, prompt engineering, software development life cycle processes, and systems-based problem solving

 + Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.

 + Delivery Center Location & Travel Requirements:

 + Hybrid Work Model: Operate under a hybrid system requiring residence within a commutable distance to one of the US Delivery Center locations (Gilbert, Lake Mary, or Mechanicsburg).

 + Co-location Expectation: Spend up to 30% of working time co-located at an assigned office for orchestrated opportunities, including projects, practice sessions, training, and Moments That Matter at a Deloitte Delivery Center location, Geo-Hub location, approved site, or project location

 + Travel Requirement: Maximum of 10% overnight travel for client or project purposes

 + Relocation Requirement: If relocation is necessary, complete the move within 12 weeks from the start date to reside within a commutable distance

Preferred:

 + Experience supporting federal, state, local government, or higher education clients

 + Experience with Agile, Scrum, or Kanban delivery frameworks

 + Experience managing artificial intelligence, data, analytics, or platform implementation programs

 + Experience using Jira, Azure DevOps, or similar work management tools

 + Master's degree in Computer Science, Information Systems, Business Analytics, or Business Administration

 + Project Management Professional (PMP), Certified ScrumMaster (CSM), or SAFe certification

## Description

Our Deloitte AI & Engineering team to transform technology platforms, drive innovation, and help make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and reengineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation.

Work you'll do

As a Delivery Senior Consultant, Software Engineering Solutions on the Deloitte Government & Public Services team, you will be responsible for...

 + Lead intake, prioritization, sequencing, and delivery planning across AI-enabled software and engineering workstreams

 + Translate stakeholder objectives into actionable requirements, user stories, acceptance criteria, and delivery plans

 + Coordinate dependencies across technical teams and stakeholders to maintain delivery flow and resolve blockers

 + Oversee quality, completeness, and readiness of deliverables before release to client stakeholders

 + Guide teams on software development life cycle practices, prompt engineering approaches, systems thinking, and delivery execution


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