Leads Google Cloud-native engineering programs, overseeing application architecture, development, testing, modernization, and deployment. Directs multiple workstreams, shapes client roadmaps, advises on technical decisions, and develops generative AI solutions using Vertex AI, LLM APIs, LangChain, LangGraph, and retrieval-augmented generation. Builds executive client relationships, identifies business opportunities, governs LLMOps and quality practices, and coaches engineering, testing, and AI delivery teams.
The Opportunity
As a Engineering Director, Google Cloud you will lead cloud-native application design, development, testing, and modernization efforts across Google Cloud programs within our Advisory practice. As a Director you will set direction for multiple workstreams, shape client engagements, drive business growth, and guide teams through technical choices, delivery tradeoffs, and evolving client needs while promoting quality, inclusion, and integrity. In this role at PwC, you will bring together software engineering, data and analytics, and Generative AI capabilities to help clients build scalable solutions, modernize legacy applications, and move from concept through architecture, build, and test across a range of technologies and delivery settings.
Responsibilities
- Setting strategic direction for Google Cloud-native engineering programs across AI-enabled application development and testing
- Leading client discussions to shape solution roadmaps, delivery priorities, and modernization approaches for cloud-native products
- Overseeing multiple software engineering efforts from requirements through architecture, build, test, and deployment
- Driving development of generative AI solutions using Google Vertex AI, LLM APIs, LangChain, LangGraph, and retrieval-augmented generation
- Governing prompt engineering, LLM evaluation, LLM guardrails, and LLMOps practices to support reliable solution behavior
- Translating business needs into scalable cloud-native applications using Python, agent orchestration, vector databases, and digital tooling
- Advancing AI-human collaboration patterns for contact center and enterprise use cases through rapid experimentation and iterative design
- Advising on architecture decisions that balance performance, maintainability, and modernization across cloud and software platforms
- Building executive-level client relationships while identifying new opportunities for cloud engineering and generative AI programs
- Coaching delivery teams and cultivating technical leadership across engineering, testing, and AI solution design
What You Must Have
- At least a Bachelor's degree
- At least 9 years of experience
What Sets You Apart
- Leading Google Cloud native development and testing initiatives
- Building cloud-native applications across full development lifecycles
- Applying Generative AI, LLMOps, and prompt engineering
- Using Python, LangChain, LangGraph, and Vertex AI
- Driving client-facing solution design and business growth
- Mentoring teams through rapid experimentation and innovation
The salary range for this position is: $155,000 - $410,000. 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: https://pwc.to/benefits-at-a-glance
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: https://pwc.to/H-1B-Lottery-Policy.
Learn more about how we work: https://pwc.to/how-we-work
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: https://pwc.to/us-application-deadlines
As a Engineering Director, Google Cloud you will lead cloud-native application design, development, testing, and modernization efforts across Google Cloud programs within our Advisory practice. As a Director you will set direction for multiple workstreams, shape client engagements, drive business growth, and guide teams through technical choices, delivery tradeoffs, and evolving client needs while promoting quality, inclusion, and integrity. In this role at PwC, you will bring together software engineering, data and analytics, and Generative AI capabilities to help clients build scalable solutions, modernize legacy applications, and move from concept through architecture, build, and test across a range of technologies and delivery settings.
Responsibilities
- Setting strategic direction for Google Cloud-native engineering programs across AI-enabled application development and testing
- Leading client discussions to shape solution roadmaps, delivery priorities, and modernization approaches for cloud-native products
- Overseeing multiple software engineering efforts from requirements through architecture, build, test, and deployment
- Driving development of generative AI solutions using Google Vertex AI, LLM APIs, LangChain, LangGraph, and retrieval-augmented generation
- Governing prompt engineering, LLM evaluation, LLM guardrails, and LLMOps practices to support reliable solution behavior
- Translating business needs into scalable cloud-native applications using Python, agent orchestration, vector databases, and digital tooling
- Advancing AI-human collaboration patterns for contact center and enterprise use cases through rapid experimentation and iterative design
- Advising on architecture decisions that balance performance, maintainability, and modernization across cloud and software platforms
- Building executive-level client relationships while identifying new opportunities for cloud engineering and generative AI programs
- Coaching delivery teams and cultivating technical leadership across engineering, testing, and AI solution design
What You Must Have
- At least a Bachelor's degree
- At least 9 years of experience
What Sets You Apart
- Leading Google Cloud native development and testing initiatives
- Building cloud-native applications across full development lifecycles
- Applying Generative AI, LLMOps, and prompt engineering
- Using Python, LangChain, LangGraph, and Vertex AI
- Driving client-facing solution design and business growth
- Mentoring teams through rapid experimentation and innovation
The salary range for this position is: $155,000 - $410,000. 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: https://pwc.to/benefits-at-a-glance
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: https://pwc.to/H-1B-Lottery-Policy.
Learn more about how we work: https://pwc.to/how-we-work
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: https://pwc.to/us-application-deadlines
PwC New York, New York, USA Office
300 Madison Ave, New York, NY, United States, 10017
PwC Florham Park, New Jersey, USA Office
400 Campus Drive, Florham Park, NJ, United States, 7932
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