Agentic AI Engineer, Senior

Deloitte France; Minneapolis (MN); On-site; USD 122,000 - 241,000; Full time

Job summary

Deloitte is seeking an AI & Data Engineering professional to drive technology-focused client delivery across complex engagements. You will manage executive interactions, lead AI solution design, and oversee teams delivering agentic AI systems and modern data platforms.

The role emphasizes hands-on AI/ML work with Python, LangChain and cloud integrations, and requires travel up to 50% depending on client needs.

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+ year developing agentic AI systems including orchestration and tool integration
• 1+ years leading AI projects and translating business problems into AI solutions
• Bachelor's or Master's in CS/Engineering/Data Science/AI or related field
• Ability to travel up to 50% on average
• Limited immigration sponsorship may be available
• Experience with cloud providers AWS/GCP/Azure corresponding to agentic solutions

Responsibilities

• Manage day-to-day interactions with executive clients, stakeholders and sponsors
• Deliver components of client engagements designing and implementing AI and business solutions
• Lead small teams to define requirements, design, prototyping, testing, and training
• Plan project scope and resource allocation for tasks and deliverables
• Monitor progress, identify variances, and implement corrective actions
• Manage changes to scope, schedule, and costs per the change management plan
• Identify risks and develop mitigation actions
• Maintain clear communication with key stakeholders and decision makers

Skills

AI/ML delivery experience

Python

Agentic AI systems knowledge

Project leadership

Travel willingness

Sponsorship eligibility

Education

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

Tools

LangChain

Semantic Kernel

AutoGen

Strands

CrewAI

LangGraph

Azure AI Foundry

OpenAI Service

Cognitive Search

Vector DBs

Cognitive Services

Entra ID

Key Vault

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.