Gen AI - Senior Associate
Gen AI - Senior Associate
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Job Description
Line of Service
AdvisoryIndustry/Sector
Not ApplicableSpecialism
Product InnovationManagement Level
Senior AssociateJob 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 purposeled and valuesdriven 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 Senior Associate youll work as part of a team of problem solvers helping to solve complex business issues from strategy to . PwC Professional skills and responsibilities for this management level include but are not limited to:
- Use feedback and reflection to develop self awareness personal strengths and address development areas.
- Delegate to others to provide stretch opportunities coaching them to deliver results.
- Demonstrate critical thinking and the ability to bring order to unstructured problems.
- Use a broad range of tools and techniques to extract insights from current industry or sector trends.
- Review your work and that of others for quality accuracy and relevance.
- Know how and when to use tools available for a given situation and can explain the reasons for this choice.
- Seek and embrace opportunities which give exposure to different situations environments and perspectives.
- Use straightforward communication in a structured way when influencing and connecting with others.
- Able to read situations and modify behavior to build quality relationships.
- Uphold the firms code of ethics and business conduct.
AI Engineer
Overview
We are seeking an exceptional AI Engineer to drive the development optimization and deployment of cuttingedge generative AI solutions for our clients. This role is at the forefront of applying generative models to solve realworld 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 handson 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 stateoftheart 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
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 DALLE)
Familiarity with prompt engineering and fewshot learning techniques
Expertise in MLOps and LLMOps practices including CI/CD for ML models
Strong knowledge of one or more cloudbased 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 largescale AI models
Experience with model serving technologies (e.g. TorchServe TensorFlow Serving Triton Inference Server)
Key Responsibilities
Architect and implement endtoend generative AI solutions from data preparation to production deployment
Develop custom AI models and finetune pretrained 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 fewshot learning in production systems
Implement robust evaluation frameworks for generative AI outputs
Collaborate with crossfunctional 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 proofofconcepts 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 AIpowered solutions that meet client needs
Present technical approaches and results to both technical and nontechnical 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 companys 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 whats possible with generative AI and excited about the opportunity to shape the future of AIdriven 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 Code Review Coding Standards Communication Computer Engineering Computer Science Continuous Integration/Continuous Delivery (CI/CD) Creativity Debugging Embracing Change Emotional Regulation 30 moreDesired Languages (If blank desired languages not specified)
Travel Requirements
Not SpecifiedAvailable for Work Visa Sponsorship
NoGovernment Clearance Required
NoJob Posting End Date
Required Experience:
Senior IC
Employment Type
Full-Time
