Lead AI and Data Science Engineer 2

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

A practitioner in the AI & Engineering offering portfolio helps design, build, and deliver AI-enabled and software solutions for clients, translating business problems into technical products and applications. In practice, that often means working across data, cloud, engineering, and GenAI capabilities to accelerate delivery and create reusable, scalable solutions.

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.

Qualifications

Required:

• Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a related quantitative field
• Ability to travel 20%, on average, based on the work you do and the clients and industries/sectors you serve.
• Ability to obtain and maintain a US government security clearance
• Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.
• At least one of the following technical experiences:
  • 8+ years of experience in GenAI, agentic platform development, or traditional machine learning implementation with government agencies
  • 8+ years of experience deploying Databricks, Snowflake, Palantir, or Anthropic
  • 8+ years of experience in agentic and large language model security, including mitigating AI threats such as prompt injection and excessive agency using guardrails and isolated sandboxes, and agentic governance and observability, including tamper-proof audit logs, anomaly detection, and automated agent kill-switches
  • Certification in agentic engineering platforms and experience using agentic software engineering platforms such as Claude Code or GitHub Copilot to build structured, specification-driven software applications

Preferred:

• Master's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a related quantitative field
• Active US Government security clearance

For individuals assigned and/or hired to work in Tampa, Florida, Deloitte is required by law to include a reasonable estimate of the compensation range for this role. This compensation range is specific to Tampa, Florida and 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. 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 $134,500 to $224,100.

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.