P
Not Specified Permanent

Tampa, Florida · USA job

AI Solutions Engineering Delivery Lead

PwC

Tampa, Florida

This job is no longer available — it was removed from the JobsMint Pro catalog and cannot be applied to. Location: Tampa, Florida · 33601

Job description

Overview

In this role you lead multidisciplinary AI solution delivery teams to translate data into impactful, AI-driven outcomes. You architect full-stack AI platforms, including LLM integrations, and oversee end-to-end model lifecycle with a focus on quality and business value. You influence strategy, foster innovation, and communicate complex concepts to senior leaders. This is a hands-on leadership role that shapes client engagements and drives continuous improvement.

Compensation / Benefits
  • medical
  • dental
  • vision
  • 401k
  • holiday pay
  • vacation
Responsibilities
  • Provide strategic and technical leadership across multiple AI solution delivery teams
  • Architect and oversee delivery of comprehensive AI solutions, including LLM integration and orchestrated applications
  • Manage full lifecycle of AI models and solutions from development to deployment and monitoring
  • Direct experiment-driven development with rapid prototyping, testing, validation, and operational excellence
  • Establish quality control and continuous improvement of AI solutions in collaboration with business stakeholders
  • Develop and maintain robust stakeholder relationships with senior business leaders
  • Promote technical innovation, process improvement, and effective methodologies across teams
  • Continuously evaluate and adopt emerging technologies to enhance solutions and maintain competitive advantage
Key requirements
  • Bachelor's Degree in Computer Science, Data Science, Engineering, Mathematics, or related technical field
  • Minimum of 10 years of experience including senior technical leadership managing multiple multidisciplinary teams
  • Executive-level communication and stakeholder management
  • Strategic thinking and problem-solving under ambiguity
  • Collaborative leadership and team development
  • Python, Pandas, Scikit-learn, PyTorch, Langchain, Semantic Kernel, SQL, vector DBs, LLMs, and prompt engineering
  • Cloud platforms: AWS, Azure, Google Cloud Platform; cloud foundations certifications desirable
  • CI/CD, Git version control, and rigorous testing frameworks (unit, integration, end-to-end)

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