AI & Data Science Engineer II

Deloitte•Tampa, FL

1d•$91,100 - $179,500•Onsite

About The Position

Join our AI & Engineering team in 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 businesses. 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. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.

Requirements

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
2+ years of professional experience in data science, machine learning, or Generative AI, including developing or prototyping LLM applications using LLM APIs, prompt engineering, RAG, or vector retrieval
2+ years of hands-on experience with Python and SQL across enterprise data, analytics, and machine learning platforms
1+ year of experience developing enterprise data products, data models, automated analytics pipelines, and decision-support solutions for reporting, trend analysis, traceability, or root-cause analysis
1+ year experience leading workstreams or small delivery teams within technology engagements
Bachelor’s degree or higher in Computer Science, Engineering, Data Science, Artificial Intelligence, or a related field
Ability to travel up to 50% on average, based on the work you do and the clients and industries/sectors you serve
Limited immigration sponsorship may be available

Nice To Haves

Experience in consulting or other client-facing delivery roles
Experience using Claude through one or more of the following: Azure AI Foundry, Amazon Bedrock, Google Vertex AI, or the native Anthropic API
Experience designing or implementing production agentic workflows involving capabilities such as orchestration, tool integration, state management, evaluation, guardrails, and human-in-the-loop controls
Professional certification(s) in Generative AI, machine learning, or cloud AI technologies, such as Anthropic Claude, AWS Certified AI Practitioner, Google Cloud Generative AI Leader, Microsoft Azure AI, or CompTIA AI+
Experience developing client-facing materials for workshops and interactive sessions
Experience presenting technical content to technical and nontechnical audiences in both small- and large- group settings

Responsibilities

Engage with client stakeholders and sponsors, acting as the primary technical point of contact for your workstream
Deliver components of client engagements spanning solution design, prototyping, testing, and production rollout
Lead small teams through business requirements gathering, functional design, process mapping, and support-model definition, providing technical direction throughout
Monitor progress against plan, identify variances, and drive corrective action before issues affect delivery
Identify risks, assumptions, and constraints early, and implement approved mitigations to protect delivery
Maintain clear, consistent communication with client stakeholders and internal engagement leadership