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# AI and Data Science Engineer III

- **Company:** Deloitte T.T.L.
- **Location:** Minneapolis, MN, United States
- **Salary:** $122,000.0 - $240,500.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Amazon Elastic Compute Cloud, Data Analysis, Microsoft Azure, BigQuery, Cloud Computing, Cloud Engineering, Computer Programming, Continuous Delivery, Continuous Integration, Information Retrieval, Python (Programming Language), Machine Learning, Metadata, Requirements Management, Software Engineering, Data Processing, Scripting, Google Cloud, Large Language Models, Multi-Agent Systems, Prompt Engineering, Generative AI, AWS Lambda, HybridCloud, Event Driven Architecture, Information Technology, Data Analytics, Data Management, Machine Learning Operations, Virtual Agents, Api Design, Key Vault, Microservices
- **Published:** September 21, 2026
- **Apply:** https://www.careerbuilder.com/job-details/agentic-ai-engineer-senior-minneapolis-mn--06b9d45a-5a79-49be-a38e-53694cf78140

## About the Role

* 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:

 * Prior consulting experience in client-facing delivery roles
 * Experience in creating critical collaterals for client workshops and customer interactive sessions
 * Presentation skills with a high degree of comfort with both large and small audiences
 * Experience building multi-agent systems (task delegation, coordination, and autonomous decision-making)
 * Certifications: Azure AI Engineer Associate, Azure Solutions Architect Expert; AWS Certified Machine Learning - Specialty, AWS Certified Solutions Architect - Professional; Professional Machine Learning Engineer, Professional Cloud Architect
 * 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, AWS Lambda, Amazon Elastic Compute Cloud (EC2), Amazon Web Services (AWS), Application Programming Interface (API), Artificial Intelligence (AI), Business Solutions, Change Management, Cloud Applications, Cloud Architecture, Cloud Computing, Computer Science, Consulting, Continuous Deployment/Delivery, Continuous Integration, Corrective Action, Customer Relations, Customer Support/Service, Data Analysis, Data Management, Data Processing, Data Science, Financial Management, GCP (Good Clinical Practices), Hybrid Cloud, Incentive Programs, Information Retrieval, Kernel Programming, Knowledge Base, Leadership, Machine Learning, Marketing/Sales Collateral, Memory Hardware, Metadata, Microservices, Microsoft Windows Azure, Operations Processes, Presentation/Verbal Skills, Procedure Development, Project Development, Project Estimates, Project Planning, Project Schedule, Project Tracking, Prototyping, Python Programming/Scripting Language, Reengineering, Requirements Management, Software
Development, Software Engineering, Team Lead/Manager, Technical/Engineering Design, Willing to Travel

## 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., 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)


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