PricewaterhouseCoopers LLP· Professional Services· Oct 7, 2026 · 21d ago
TX-Dallas, TX
Location
In office
Work mode
Full-time
Schedule
Lead
Level
$99K–$232K
Compensation
5+ years exp
Experience
Job description
The Opportunity
As a Gemini Tech Lead you will lead client-facing generative AI and data modernization efforts within our Data and Analytics Engineering practice, guiding solution design, delivery planning, and technical decision-making for engagements that blend cloud engineering, data, and AI capabilities. As a Manager you will lead teams, coach junior staff, manage project workstreams, and bring a disciplined approach to planning, execution, and issue resolution while using judgment to balance client needs, team development, and delivery timelines. In this role at PwC, you will help shape how Gemini and other generative AI capabilities are applied to modernize data platforms, coordinate across multidisciplinary contributors, and translate technical concepts into practical deliverables that support client priorities.
Responsibilities
- Leading generative AI technical workstreams for client-facing data modernization initiatives
- Guiding teams in prompt design, context engineering, and agent orchestration for production use cases
- Building and tuning solutions using LLM APIs, retrieval-augmented generation, vector databases, and guardrails
- Evaluating model outputs with structured testing, scenario design, and performance analysis
- Directing implementation of Google Vertex AI, AWS Bedrock, or Azure AI Services based solutions
- Developing Python-based prototypes and workflow automation to accelerate delivery timelines
- Reviewing solution architecture across LLMOps, conversational programming, and AI-powered contact center use cases
- Coaching team members on generative AI methods, delivery planning, and technical problem solving
- Identifying opportunities to apply machine learning, natural language processing, and digital tooling to client challenges
- Managing work plans, deliverables, and issue tracking across multiple engagement streams
What You Must Have
- At least a Bachelor's degree
- At least 5 years of experience
What Sets You Apart
- Leading generative AI delivery for client engagement workstreams
- Guiding teams using Gemini, Vertex AI, and LangChain
- Applying prompt engineering, LLM evaluation, and guardrails
- Demonstrating LLMOps, retrieval-augmented generation, and vector databases
- Using Python, machine learning, and NLP in delivery
- Mentoring teams through AI fluency and agile delivery
The salary range for this position is: $99,000 - $232,000. 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: pwc.to
As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: pwc.to. Learn more about how we work: pwc.to For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all. Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: pwc.to
Requirements
Must-haves
Leading generative AI technical workstreams for client-facing data modernization initiatives
Guiding teams in prompt design, context engineering, and agent orchestration for production use cases
Building and tuning solutions using LLM APIs, retrieval-augmented generation, vector databases, and guardrails
Evaluating model outputs with structured testing, scenario design, and performance analysis
Directing implementation of Google Vertex AI, AWS Bedrock, or Azure AI Services based solutions
Developing Python-based prototypes and workflow automation to accelerate delivery timelines
Reviewing solution architecture across LLMOps, conversational programming, and AI-powered contact center use cases
Coaching team members on generative AI methods, delivery planning, and technical problem solving
Identifying opportunities to apply machine learning, natural language processing, and digital tooling to client challenges
Managing work plans, deliverables, and issue tracking across multiple engagement streams
What You Must Have
At least a Bachelor's degree
At least 5 years of experience
What Sets You Apart
Leading generative AI delivery for client engagement workstreams
Guiding teams using Gemini, Vertex AI, and LangChain
Applying prompt engineering, LLM evaluation, and guardrails
Demonstrating LLMOps, retrieval-augmented generation, and vector databases
Using Python, machine learning, and NLP in delivery
Mentoring teams through AI fluency and agile delivery
Nice-to-haves
None flagged.
Application prep
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