Gen AI – Manager Full-time

Line of Service
Advisory

Industry/Sector
Not Applicable

Specialism
Product Innovation

Management Level
Manager

Job Description & Summary
A career within our Infrastructure practice will provide you with the opportunity to design, build, coordinate and maintain the IT environments for clients to run internal operations, collect data, monitor, develop and launch products. Infrastructure management consists of hardware, storage, compute, network and software layers.

As a part of our Infrastructure Engineering team, you will be responsible for maintaining the critical IT systems which includes build, run and maintenance while providing technical support and training that aligns to industry leading practices.

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 a purpose-led and values-driven leader at every level. 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 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:

• Develop new skills outside of comfort zone.
• Act to resolve issues which prevent the team working effectively.
• Coach others, recognise their strengths, and encourage them to take ownership of their personal development.
• Analyse complex ideas or proposals and build a range of meaningful recommendations.
• Use multiple sources of information including broader stakeholder views to develop solutions and recommendations.
• Address sub-standard work or work that does not meet firm’s/client’s expectations.
• Use data and insights to inform conclusions and support decision-making.
• Develop a point of view on key global trends, and how they impact clients.
• Manage a variety of viewpoints to build consensus and create positive outcomes for all parties.
• Simplify complex messages, highlighting and summarising key points.
• Uphold the firm’s code of ethics and business conduct.

AI Engineer

Overview

We are seeking an exceptional AI Engineer to drive the development, optimization, and deployment of cutting-edge generative AI solutions for our clients. This role is at the forefront of applying generative models to solve real-world business challenges, requiring deep expertise in both the theoretical underpinnings and practical applications of generative AI.

Core Qualifications

• Advanced degree (MS/PhD) in Computer Science, Machine Learning, or related field with a focus on generative models
• 3+ years of hands-on experience developing and deploying AI models in production environments with 1 year of experience in developing generative AI pilots, proofs of concept, and prototypes
• Deep understanding of state-of-the-art AI architectures (e.g., Transformers, VAEs, GANs, Diffusion Models)
• Expertise in PyTorch or TensorFlow, with a preference for experience in both
• Proficiency in Python and software engineering best practices for AI systems

Technical Skills

• Required
  • Demonstrated experience with large language models (LLMs) such as GPT, BERT, T5, etc.
  • Practical understanding of generative AI frameworks (e.g., Hugging Face Transformers, OpenAI GPT, DALL-E)
  • Familiarity with prompt engineering and few-shot learning techniques
  • Expertise in MLOps and LLMOps practices, including CI/CD for ML models
  • Strong knowledge of one or more cloud-based AI services (e.g., AWS SageMaker, Azure ML, Google Vertex AI)
• Preferred
  • Proficiency in optimizing generative models for inference (quantization, pruning, distillation)
  • Experience with distributed training of large-scale AI models
  • Experience with model serving technologies (e.g., TorchServe, TensorFlow Serving, Triton Inference Server)

Key Responsibilities

• Architect and implement end-to-end generative AI solutions, from data preparation to production deployment
• Develop custom AI models and fine-tune pre-trained models for specific client use cases
• Optimize generative models for production, balancing performance, latency, and resource utilization
• Design and implement efficient data pipelines for training and serving generative models
• Develop strategies for effective prompt engineering and few-shot learning in production systems
• Implement robust evaluation frameworks for generative AI outputs
• Collaborate with cross-functional teams to integrate generative AI capabilities into existing systems
• Address challenges related to bias, fairness, and ethical considerations in generative AI applications

Project Delivery

• Lead the technical aspects of generative AI projects from pilot to production
• Develop proof-of-concepts and prototypes to demonstrate the potential of generative AI in solving client problems
• Conduct technical feasibility studies for applying generative AI to novel use cases
• Implement monitoring and observability solutions for deployed generative models
• Troubleshoot and optimize generative AI systems in production environments

Client Engagement

• Provide expert technical guidance on generative AI capabilities and limitations to clients
• Collaborate with solution architects to design generative AI-powered solutions that meet client needs
• Present technical approaches and results to both technical and non-technical stakeholders
• Assist in scoping and estimating generative AI projects

Innovation and Knowledge Sharing

• Stay at the forefront of generative AI research and industry trends
• Contribute to the company’s intellectual property through patents or research publications
• Develop internal tools and frameworks to accelerate generative AI development
• Mentor junior team members on generative AI technologies and best practices
• Contribute to technical blog posts and whitepapers on generative AI applications

The ideal candidate will have a proven track record of successfully deploying AI models in production environments, a deep understanding of the latest advancements in generative AI, and the ability to apply this knowledge to solve complex business problems. They should be passionate about pushing the boundaries of what’s possible with generative AI and excited about the opportunity to shape the future of AI-driven solutions for our clients.

Education (if blank, degree and/or field of study not specified)
Degrees/Field of Study required:

Degrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills

Optional Skills
Acceptance Test Driven Development (ATDD), Acceptance Test Driven Development (ATDD), Accepting Feedback, Active Listening, Analytical Thinking, API Management, Application Development, Application Frameworks, Application Lifecycle Management, Application Software, Business Process Improvement, Business Process Management (BPM), Business Requirements Analysis, C++ Programming Language, Client Management, Coaching and Feedback, Code Review, Coding Standards, Communication, Computer Engineering, Computer Science, Continuous Integration/Continuous Delivery (CI/CD), Creativity, Debugging, Embracing Change {+ 35 more}

Desired Languages (If blank, desired languages not specified)

Travel Requirements
Not Specified

Available for Work Visa Sponsorship?
No

Government Clearance Required?
No

Job Posting End Date