Lead Agentic Software Engineer II

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 Lead Software Engineer II on the Deloitte Government & Public Services AI & Data 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

A successful candidate would possess these 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 mentor and provide clear guidance to others

 

The Team

Deloitte’s Government & Public Services (GPS) practice – our people, ideas, technology and outcomes – is designed for impact. Serving federal, state, & local government clients as well as public higher education institutions, our team of professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise.

Our Engineering as a Service offering provides end-to-end design, implementation, and technology operations, leveraging our core engineering expertise. We help transform engineering teams, modernize technology, & deliver complex programs with a product engineering mindset. Our flexible delivery models— traditional teams, pools, or pods, are tailored for each client’s needs, offering engineering-led Advise, Implement, & Operate capabilities to accelerate innovation.

 

Qualifications

Required:

• 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
• Ability to travel 10-50%, on average, based on the work you do and the clients and industries/sectors you serve.
• Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.

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

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $159,100 to $265,100.  

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.