Agentic AI Engineer, Senior

Deloitte • Tampa, FL

123d • $122,000 - $240,500

About The Position

Join Deloitte’s AI & Engineering team to help transform technology platforms, drive innovation, and support client success. The team builds, deploys, and operates integrated sector solutions across software, data, AI, networking, and hybrid cloud infrastructure, while modernizing technology and data platforms and transforming mission-critical operations.

As an AI and Data Science Engineer III on the AI & Data team, you will drive technology-focused delivery across complex client engagements. You will work with clients and engagement teams to identify, design, and implement technology and business solutions, while leading project workstreams and small teams. The role includes translating business needs into AI solutions, managing project plans and resources, monitoring delivery, addressing risks and changes, and communicating with stakeholders.

The role may require travel up to 50% on average, depending on the work and clients served. Recruiting for this role ends on 11/30/2026. Limited immigration sponsorship may be available.

Requirements

• At least 4 years of experience delivering AI/ML solutions, including at least 1 year focused on Generative AI, Agentic AI, or multi-agent systems.
• At least 2 years of hands-on experience building AI/ML solutions using Python.
• At least 1 year of direct experience developing agentic AI systems, including agent orchestration, tool integration, and autonomous decision-making workflows.
• Experience with agent frameworks such as LangChain, Semantic Kernel, AutoGen, Strands, CrewAI, or LangGraph, and with at least one of the specified Azure, AWS, or GCP services and platforms.
• At least 1 year of experience leading project workstreams or 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 a related field.
• Ability to travel up to 50% on average, based on assigned work and clients or industries served.

Nice To Haves

• Prior consulting experience in client-facing delivery roles.
• Experience creating key collateral for client workshops and interactive customer sessions.
• Presentation skills and comfort presenting to both large and small audiences.
• Experience building multi-agent systems involving task delegation, coordination, and autonomous decision-making.
• Certifications such as Azure AI Engineer Associate, Azure Solutions Architect Expert, AWS Certified Machine Learning – Specialty, AWS Certified Solutions Architect – Professional, Professional Machine Learning Engineer, or Professional Cloud Architect.
• Experience with LLM prompt engineering, fine-tuning, and Retrieval Augmented Generation (RAG) architecture.
• Experience with MLOps/AIOps, including monitoring, governance, lifecycle management, CI/CD pipelines, and cloud-native application development.
• Experience with API design, microservices architecture, and event-driven systems.

Responsibilities

• Manage day-to-day interactions with executive clients, stakeholders, and sponsors.
• Manage and deliver components of client engagements to identify, design, and implement technology and creative business solutions for large companies.
• Manage small teams carrying out business requirements analysis, functional and process design, scenario design, flow mapping, prototyping, testing, training, and support-procedure definition.
• Create and develop project scope and schedules, and plan and assign resources to tasks and deliverables.
• Monitor project progress, identify and quantify variances, and take corrective actions.
• Manage changes to project scope, schedule, and costs, keeping the project plan accurate and updated according to the change management plan.
• Identify high-level risks, assumptions, and constraints, and implement approved actions and workarounds to minimize risk impact.
• Develop and maintain communications with key project stakeholders and decision makers.
• Lead project workstreams or engagements, translate business problems into AI solutions, and deliver measurable outcomes.

Benefits

• Broad range of employee benefits; specific benefits are not itemized in the posting.
• May be eligible to participate in a discretionary annual incentive program, subject to program rules and individual and organizational performance.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior