Our Deloitte AI & Engineering team works 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, you will be responsible for designing, building, and maintaining Cloud Solutions and Artificial Intelligence architectures for multiple government clients. You will also be responsible for:

• Coaching client teams and end users on cloud capabilities and enablement, while building trusted relationships, managing expectations, and supporting long-term engagement success

• Define and implement enterprise integration patterns using AWS integration services
• Apply architecture decisions that balance quality, safety, latency, cost, and model risk
• Deliver production-quality code using strong practices in testing, CI/CD, logging, versioning, and documentation
• Design extensible functionality, support sprint sizing, and align solutions with senior team members
• Mentor and support junior team members

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, and 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, and Operate capabilities to accelerate innovation.

Qualifications

Required:

• Bachelor's degree (or equivalent experience) in Computer Science, Data Science or Engineering.
• 7+ years of experience in software engineering, cloud engineering, data engineering, or analytics engineering.
• 3+ years of hands-on experience hands-on cloud engineering in AWS, including cloud migrations and hybrid networking
• 1+ years of experience with AWS including hands-on experience with one of the following key platform technologies: Amazon Bedrock, Bedrock Agents, Knowledge Bases, Guardrails.
• 1+ years of experience building reliable, maintainable, and well-documented code.
• Ability to travel 20%, 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.
• Active TS/SCI Security Clearance (or higher).

Preferred:

• Experience leading technical teams.
• Demonstrated ability to work directly alongside client technical teams and program stakeholders in fast-paced, ambiguous delivery environments.
• Experience with machine learning operations/large language model operations practices: evaluation frameworks, model monitoring, and prompt management.
• Experience integrating large language model solutions with enterprise systems via application programming interfaces, microservices, or event-driven architectures.
• Familiarity with security, privacy, and compliance considerations.

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.