Agentic AI Engineer, Senior

Deloitte France; Indianapolis (IN); On-site; USD 122,000 - 241,000; Full time

Job summary

Deloitte is seeking an AI and Data Engineer III in the United States to drive technology-focused client delivery across complex engagements. You will work with executive sponsors and cross-functional teams to design and implement AI/ML solutions and orchestrate agentic capabilities using cloud platforms.

This role requires strong Python skills, project leadership, and up to 50% travel to client sites. Join a team that builds and operates advanced data and AI platforms, delivering measurable

Qualifications

• 4+ years delivering AI/ML solutions with at least 1 year on Generative AI or multi-agent systems.
• 2+ years building AI/ML solutions using Python.
• 1+ years leading project workstreams, translating problems into AI solutions with measurable outcomes.
• Bachelor's or Master's degree in CS, Engineering, Data Science, AI, or related field.
• Ability to travel up to 50% on average to serve clients.
• Limited immigration sponsorship may be available.

Responsibilities

• Drive technology-focused client delivery across complex engagements.
• Manage day-to-day interactions with executive clients, stakeholders and sponsors.
• Deliver components of engagements designing and implementing technology and business solutions.
• Lead small teams to define requirements, design processes, prototype, and test solutions.
• Plan and assign resources; develop project scope and schedule.
• Monitor progress; identify variances and take corrective actions.
• Manage changes to scope, schedule, and costs per the change plan.
• Identify high-level risks and implement mitigation actions.
• Develop and maintain communications with key stakeholders and decision makers.

Skills

AI/ML strategy

Python

Project leadership

Client engagement

Communication

Education

Bachelor's or Master's in CS/Engineering/Data Science/AI

Tools

Azure AI Foundry

OpenAI Service

Cognitive Search

Vector DBs

LangChain

Semantic Kernel

AutoGen

Strands

CrewAI

LangGraph

AWS Bedrock

Vertex AI

Job description

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 9/30/2026.

Work you'll do

As an AI and Data Science Engineer III on the AI & Data team, you will be responsible for driving technology-focused client delivery across complex engagements.

Working within an engagement team, your responsibilities include, among others:

• Managing day-to-day interactions with executive clients, stakeholders, and sponsors

• Managing and delivering components of client engagements focused on identifying, designing, and implementing both technology and creative business solutions for large companies

• Managing small teams to identify business requirements, functional design, process design (including scenario design, flow mapping), prototyping, testing, training, defining support procedures. Your background in technology will provide the foundation to manage these streams but also understand the technology

• Creation and development of project scope and schedule. Plan and assign resources to associated tasks and deliverables

• Monitoring progress of the project, identify, and quantify variances, perform required corrective actions

• Managing changes to project scope, project schedule, and project costs to keep the project plan accurate, updated, as defined in the change management plan

• Identifying high-level risks, assumptions, and constraints. Implement approved actions and workarounds to minimize the impact of risks on the project

• Developing and maintaining communication with key project stakeholders and decision makers

  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:

• 4+ years of experience delivering AI/ML solutions, with at least 1 year focused on Generative AI, Agentic AI or multi-agent systems

• 2+ years of hands-on experience building AI/ML solutions using Python

• 1+ years of direct experience developing agentic AI systems, including agent orchestration, tool integration, and autonomous decision-making workflows (ie: LangChain; Semantic Kernel, AutoGen, Strands; CrewAI. LangGraph) to include:

  Azure: AI Foundry (design, deployment, orchestration of AI/agentic applications); OpenAI Service (LLM integration for reasoning, planning, and tool use); Cognitive Search & Vector DBs (retrieval, memory, context for agents); Cognitive Services (vision, speech, and language APIs for agent capabilities); Entra ID & Key Vault (identity, security, compliance for AI workloads);

• 1+ years experience leading project workstreams/engagements, translating business problems into AI solutions, and delivering measurable outcomes

• Bachelor's or Master's degree in Computer Science, Engineering, Data Science, AI, or 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:

and/or

AWS: Amazon Bedrock (foundation models, model evaluation, and agent orchestration); Knowledge bases (retrieval, metadata filtering, re‑ranking), Guardrails, Prompt Flows, and RAG pipelines for enterprise-grade agentic solutions; Lambda, ECR and EC2 based deployment; Amazon Q Business & Q Developer (enterprise AI assistant and code generation capabilities); Cognito (identity, security, compliance for AI workloads); IAM, Secrets Manager, and KMS;

and/or

GCP: Vertex AI (e.g., Model Garden, Agent Builder, custom training); Gemini API and Google AI Studio; BigQuery (for data processing and analytics); Cloud Run, Cloud Functions, and GKE (for agent deployment)

• Experience with LLM prompt engineering, fine‑tuning, and RAG (Retrieval Augmented Generation) architecture

• Experience with MLOps / AIOps (monitoring, governance, lifecycle), CI/CD pipelines, and cloud-native application development

• Experience with API design, microservices architecture, and event-driven systems

  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. 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 $122,000 to $240,500.

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.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.