US Tech - Tech Lead - Generative AI Solutions

are responsible for the development of computer programming systems and applications including the design, coding, testing and deployment of products and solutions to meet business obligations.

To really stand out and make us fit for the future in a constantly changing world, each and every one of us at PwC needs to be an authentic and inclusive leader, at all grades/levels and in all lines of service. To help us achieve this we have the PwC Professional; our global leadership development framework. It gives us a single set of expectations across our lines, geographies and career paths, and provides transparency on the skills we need as individuals to be successful and progress in our careers, now and in the future.

As a Senior Manager, you'll work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution. PwC Professional skills and responsibilities for this management level include but are not limited to:

• Take action to ensure everyone has a voice, inviting opinion from all.

• Establish the root causes of issues and tackle them, rather than just the symptoms.

• Initiate open and honest coaching conversations at all levels.

• Move easily between big picture thinking and managing relevant detail.

• Anticipate stakeholder needs, and develop and discuss potential solutions, even before the stakeholder realises they are required.

• Develop specialised expertise in one or more areas.

• Advise stakeholders on relevant technical issues for their business area.

• Navigate the complexities of global teams and engagements.

• Build trust with teams and stakeholders through open and honest conversation.

• Uphold the firm's code of ethics and business conduct.

Job Requirements and Preferences:

Basic Qualifications:

Minimum Degree Required:
Bachelor Degree

Minimum Years of Experience:
6 year(s) of experience in progressive roles focused on managing information technology applications and its overall impact on business strategies and productivity.

Preferred Qualifications:

Degree Preferred:
Bachelor Degree

Preferred Fields of Study:
Computer Programming, Computer Applications

Preferred Knowledge/Skills:

Demonstrates intimate abilities and/or a proven record of success as a team leader in planning and executing projects to deliver Technology solutions including the following areas:

• Leading the design, development, and implementation of generative AI solutions, assessing high-quality, scalable, and efficient software systems;

• Collaborating with cross-functional teams to understand business requirements and translate them into technical specifications;

• Architecting and building scalable software components that leverage generative AI techniques;

• Researching and evaluating third-party generative AI products, identifying those that align with our business needs and can be integrated into our software ecosystem;

• Collaborating with other software engineering teams to develop reusable software components that incorporate generative AI;

• Staying current with the latest advancements in generative AI technologies and industry trends and provide recommendations for their adoption;

• Conducting code reviews, providing technical guidance, and mentoring junior team members;

• Collaborating with data scientists and machine learning engineers to integrate AI models into software systems;

• Adhering to coding standards, and software development methodologies;

• Troubleshooting and resolving complex technical issues, establishing the stability and performance of the software systems;

• Working experience as a Senior Software Engineer, with a focus on architecting and building enterprise solutions;

• Working understanding of modern software architectures such as Microservices, Serverless (FaaS), and Event-Driven Architecture (EDA);

• Working knowledge of traditional architectures like Client/Server and Service Oriented Architecture (SOA);

• Understanding and/or experience of DevOps concepts, (e.g. Continuous Integration (CI), Continuous Delivery (CD), Configuration Management, Containerization, Orchestration, Monitoring and Logging);

• Working knowledge in designing, developing, and maintaining scalable and robust systems;

• Understanding of generative AI techniques (e.g. deep learning, neural networks, and reinforcement learning);

• Understanding of generative AI tools and concepts;

• Including prompt-engineering, AI models, and generative AI frameworks (e.g. LangChain, and LlamaIndex);

• Working knowledge of Retrieval Augmented Generation (RAG) using vector databases;

• Understanding of programming languages such as Python, C#, or Java;

• Understanding of database technologies including MongoDB and Azure SQL databases;

• Understanding of how to model data for structured and unstructured databases;

• Understanding of software engineering principles, design patterns, and industry leading practices;

• Working knowledge of cloud platforms and services, such as AWS, Azure, or Google Cloud;

• Problem-solving skills and the ability to think critically and analytically;

• Working ability to deliver proven software solutions within tight deadlines;

• Using Agile software development methodologies; and,

• Working experience with popular generative AI frameworks and libraries, such as TensorFlow, PyTorch, or Keras.

Learn more about how we work: https://pwc.to/how-we-work

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.

All qualified applicants will receive consideration for employment at PwC without regard to race; creed; color; religion; national origin; sex; age; disability; sexual orientation; gender identity or expression; genetic predisposition or carrier status; veteran, marital, or citizenship status; or any other status protected by law. PwC is proud to be an affirmative action and equal opportunity employer.

For positions based in San Francisco, consideration of qualified candidates with arrest and conviction records will be in a manner consistent with the San Francisco Fair Chance Ordinance.

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

For positions in California, Colorado, Hawaii, Nevada, New York State, or Washington State, or for opportunities that will report to a supervisor, office or other work site in New York State, please visit the following link for pay range information: https://pwc.to/payrange-v1-productstechseniormanager

#LI-Remote