AI Solutions Architect

Deloitte•Tampa, FL
•$141,200 - $278,300

About The Position

The AI Solutions Architect role is part of Deloitte’s AI & Engineering team, focused on designing and building autonomous, multi-agent systems powered by models for large organizations. The role drives technology-focused client delivery across complex engagements and contributes to solution design, prototyping, testing, and production rollout. The position involves working with client stakeholders and sponsors as the primary technical contact for a workstream, leading small teams through requirements gathering and functional design, and providing technical direction throughout delivery. The successful candidate monitors progress, addresses delivery variances, identifies risks and constraints, implements approved mitigations, and communicates consistently with client stakeholders and internal engagement leadership. The AI & Data practice designs, develops, and operates advanced data and AI platforms, products, insights, and services to help clients innovate and scale. Recruiting for this role ends on 11/12/2026. The role may require travel up to 50% on average.

Requirements

  • At least 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.
  • At least 4 years of hands-on experience with Python and SQL across enterprise data, analytics, and machine learning platforms.
  • At least 4 years of experience developing enterprise data products, data models, automated analytics pipelines, and decision-support solutions for reporting, trend analysis, traceability, or root-cause analysis.
  • At least 2 years of 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 and clients and industries or sectors served.
  • Ability to work independently and collaboratively 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, dynamic environment.
  • Strong interpersonal skills and professional demeanor.
  • Ability to meet deadlines and provide clear guidance to others.

Nice To Haves

  • Experience in consulting or other client-facing delivery roles.
  • Experience using Claude through Azure AI Foundry, Amazon Bedrock, Google Vertex AI, or the native Anthropic API.
  • Experience designing or implementing production agentic workflows involving 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 small- and large-group settings.

Responsibilities

  • Engage with client stakeholders and sponsors as the primary technical point of contact for the 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.
  • Monitor progress against plans, 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.

Benefits

  • Broad range of employee benefits.
  • May be eligible to participate in a discretionary annual incentive program, subject to program rules and applicable factors.
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