Job description

Agentic AI is moving from experimentation to production, and organizations everywhere are racing to figure out how to build it responsibly and at scale. We're growing a team of engineers who want to work at the center of that shift: designing and building autonomous, multi-agent systems powered by models for some of the world's largest organizations. 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. Recruiting for this role ends on 10/30/2026. Work you’ll do As a Lead AI and Data Science Engineer II on the AI & Data team, you will be responsible for driving technology-focused client delivery across complex engagements. • 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 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 provide clear guidance to others The team Our AI & Data practice offers comprehensive solutions for designing, developing, and operating advanced Data and AI platforms, products, insights, and services. We help clients innovate, enhance, and manage their data, AI, and analytics capabilities, ensuring they can grow and scale effectively. Qualifications Required: • 6+ 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 • 4+ years of hands-on experience with Python and SQL across enterprise data, analytics, and machine learning platforms • 4+ 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 • 2+ years experience leading, managing and delivering complex AI Solutions 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 Preferred: • 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 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 $141,200 to $278,300. 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.

Requirements

Must-haves

Recruiting for this role ends on 10/30/2026.
Work you’ll do
As a Lead AI and Data Science Engineer II on the AI & Data team, you will be responsible for driving technology-focused client delivery across complex engagements.
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
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

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

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aimachine learningllmpythonsqlazureapiaws

Platform: avature
Effort: medium