PWC

AI Solutions Engineering Delivery Lead

PWC$122K — $423K *
US-Anywhere
+ 62 other locationsRemote
Information Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor’s Degree in Computer Science, Data Science, Engineering, Mathematics, or related field.
  • 10+ years of experience in senior technical leadership managing multidisciplinary teams.
  • Advanced degree preferred but not mandatory.
  • Hands-on experience in architecting and managing AI and machine learning solutions.
  • Specialization in Python, Pandas, Scikit-learn, PyTorch, and related technologies.
  • Familiarity with cloud platforms (AWS, Azure, Google Cloud) and certifications preferred.
  • Extensive experience with Agile methodologies and CI/CD processes.

Responsibilities

  • Provide strategic and technical leadership for AI delivery teams.
  • Architect full-stack AI solutions, including LLM integration.
  • Manage lifecycle of AI models from development to deployment.
  • Direct rapid prototyping and operational excellence.
  • Establish quality control and continuous improvement measures.
  • Develop stakeholder relationships and communicate complex solutions clearly.
  • Promote innovation and effective methodologies across teams.
  • Evaluate and adopt emerging technologies for enhanced capabilities.

Benefits

  • Medical, dental, and vision insurance.
  • 401k retirement plan.
  • Holiday pay and vacation leave.
  • Personal and family sick leave.
  • Eligibility for an annual discretionary bonus.
Full Job Description

Industry/Sector

Not Applicable

Specialism

IFS - Internal Firm Services - Other

Management Level

Director

Job Description & Summary

The AI Solutions Engineering Delivery Lead will oversee multiple multidisciplinary teams consisting of data scientists, software engineers, front-end developers, and other specialists in the design, development, deployment, monitoring, and maintenance of full-stack AI solutions. As a senior technical leader, you will leverage deep technical specialization, strategic vision, comprehensive business acumen, and exceptional stakeholder communication skills to deliver impactful AI-driven solutions. This is a “hand-on” overseeing one or more AI solution work streams, driving continuous adaptation to emerging technologies, ensuring rigorous quality standards, and fostering a culture of continuous improvement and innovation.

Responsibilities

:
- Provide strategic and technical leadership across multiple AI solution delivery teams
- Architect and oversee the delivery of comprehensive AI solutions, emphasizing full-stack development, including integration of Large Language Models (LLMs) and orchestrated applications
- Manage and own the full lifecycle of AI models and solutions, from development through deployment, monitoring, maintenance, and iterative enhancement
- Direct experiment-driven development, ensuring rapid prototyping, testing, validation, and operational excellence
- Establish and drive consistent quality control and continuous improvement of AI solutions, closely collaborating with business stakeholders to align solutions with strategic objectives
- Develop and maintain robust stakeholder relationships, clearly communicating complex solutions and strategic implications to senior business leaders
- Promote technical innovation, process improvement, and effective methodologies across teams
- Continuously evaluate and drive adoption of emerging technologies to enhance solution capabilities and maintain competitive advantage

What You Must Have

:
- Bachelor’s Degree in Computer Science, Data Science, Engineering, Mathematics, or related technical field
- Minimum of 10 years of experience, including substantial experience in a senior technical leadership role managing multiple multidisciplinary teams

What Sets You Apart

:
- An advanced degree is preferred
- Proven track record of hands-on experience in architecting, delivering, and managing AI and machine learning solutions, particularly with orchestrated LLM applications
- Proven specialization in Python, Pandas, Scikit-learn, PyTorch, Langchain, Semantic Kernel, SQL, vector DBs, LLMs, and prompt engineering
- Proven specialization with major cloud platforms such as AWS, Azure, or Google Cloud Platform, with cloud foundational certifications highly desirable
- Extensive experience with Agile methodologies, continuous integration/continuous deployment (CI/CD), Git version control, and rigorous testing frameworks (unit, integration, end-to-end)
- Extensive experience translating complex technical solutions into strategic business outcomes
- Prior experience leveraging executive-level communication skills, capable of effectively articulating technical and strategic concepts to multiple stakeholders while navigating ambiguity
- Proven track record of leading strategy, emphasizing analytical, decision-making, and problem-solving capabilities
- Proven ability to navigate complexity and ambiguity, providing clear direction and maintaining composure under pressure

Travel Requirements

Up to 20%

Job Posting End Date

The salary range for this position is: $122,500 - $423,780. For residents of Washington state the salary range for this position is: $122,500 - $504,500. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance

About PWC

PwC is a multinational professional services network of firms headquartered in London, United Kingdom, operating as partnerships under the PwC brand. PwC ranks as the second-largest professional services network in the world and is considered one of the Big Four accounting firms, along with Deloitte, EY and KPMG. PwC firms operate in 157 countries, 742 locations, with 276,000 people. As of 2020, 26% of the workforce worked in the Americas, 26% in Asia, 32% in Western Europe, 5% in Middle East and Africa and 11% in Central and Eastern Europe and Central Asia.
Learn more about PWC
Size
284,000 employees
Industry
Founded
1998

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