Generative AI Architect- Senior Manager
Generative AI Architect- Senior Manager
Posted on :
15-05-2025
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1 Vacancy
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Job Description
Line of Service
AdvisoryIndustry/Sector
Not ApplicableSpecialism
Data Analytics & AIManagement Level
Senior ManagerJob Description & Summary
At PwC our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights enabling informed decisionmaking and driving business growth.Those in artificial intelligence and machine learning at PwC will focus on developing and implementing advanced AI and ML solutions to drive innovation and enhance business processes. Your work will involve designing and optimising algorithms models and systems to enable intelligent decisionmaking and automation.
Years of Experience: Candidates with 12 years of hands on experience
Responsibilities:
Architecture Design:
- Design and implement scalable secure and highperformance architectures for Generative AI applications.
- Integrate Generative AI models into existing platforms ensuring compatibility and performance optimization.
Model Development and Deployment:
- Finetune pretrained generative models for domainspecific use cases.
- Data Collection Sanitization and Data Preparation strategy for Model fine tuning.
- Evaluate select and deploy appropriate Generative AI frameworks (e.g. PyTorch TensorFlow Crew AI Autogen Langraph Agentic code Agentflow).
Innovation and Strategy:
- Stay up to date with the latest advancements in Generative AI and recommend innovative applications to solve complex business problems.
- Define and execute the AI strategy roadmap identifying key opportunities for AI transformation.
Collaboration and Leadership:
- Collaborate with crossfunctional teams including data scientists engineers and business stakeholders.
- Mentor and guide team members on AI/ML best practices and architectural decisions.
Performance Optimization:
- Monitor the performance of deployed AI models and systems ensuring robustness and accuracy.
- Optimize computational costs and infrastructure utilization for largescale deployments.
Ethical and Responsible AI:
- Ensure compliance with ethical AI practices data privacy regulations and governance frameworks.
- Implement safeguards to mitigate bias misuse and unintended consequences of Generative AI.
Required Skills:
- Advanced programming skills in Python and fluency in data processing frameworks like Apache Spark.
- Should have strong knowledge on LLMs foundational model (OpenAI GPT4o O1 Claude Gemini etc) while need to have strong knowledge on opensource Models like Llama 3.2 Phi etc.
- Proven track record with eventdriven architectures and realtime data processing systems.
- Familiarity with Azure DevOps and other LLMOps tools for operationalizing AI workflows.
- Deep experience with Azure OpenAI Service and vector DBs including API integrations prompt engineering and model finetuning. Or equivalent tech in AWS/GCP.
- Knowledge of containerization technologies such as Kubernetes and Docker.
- Comprehensive understanding of data lakes and strategies for data management.
- Expertise in LLM frameworks including Langchain Llama Index and Semantic Kernel.
- Proficiency in cloud computing platforms such as Azure or AWS.
- Exceptional leadership problemsolving and analytical abilities.
- Superior communication and collaboration skills with experience managing highperforming teams.
- Ability to operate effectively in a dynamic fastpaced environment.
Nice to Have Skills:
- Experience with additional technologies such as Datadog and Splunk.
- Possession of relevant solution architecture certificates and continuous professional development in data engineering and GenAI.
Professional and Educational Background:
- BE / / MCA / / M.E / / MBA
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
Accepting Feedback Accepting Feedback Active Listening AI Implementation Analytical Thinking C Programming Language Coaching and Feedback Communication Complex Data Analysis Creativity Data Analysis Data Infrastructure Data Integration Data Modeling Data Pipeline Data Quality Deep Learning Embracing Change Emotional Regulation Empathy GPU Programming Inclusion Influence Intellectual Curiosity Java (Programming Language) 33 moreDesired Languages (If blank desired languages not specified)
Travel Requirements
0%Available for Work Visa Sponsorship
NoGovernment Clearance Required
NoJob Posting End Date
Required Experience:
Senior Manager
Employment Type
Full-Time
Key Skills
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