Generative AI Architect- Manager
Generative AI Architect- Manager
Posted on :
08-06-2025
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1 Vacancy
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Job Description
Line of Service
AdvisoryIndustry/Sector
Not ApplicableSpecialism
Data Analytics & AIManagement Level
ManagerJob Description & Summary
At PwC our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals.In data analysis at PwC you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation visualisation and statistical modelling to support clients in solving complex business problems.
Years of Experience: Candidates with 8 years of hands on experience
Responsibilities:
Architecture Design:
- Design and implement scalable secure and high-performance architectures for Generative AI applications.
- Integrate Generative AI models into existing platforms ensuring compatibility and performance optimization.
Model Development and Deployment:
- Fine-tune pre-trained generative models for domain-specific 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 cross-functional teams including data scientists engineers and business stakeholders.
- Mentor and guide team members on AI/ML best practices and architectural decisions.
- Should be able to lead a team of data scientists GenAI engineers devops and Software Developer.
Performance Optimization:
- Monitor the performance of deployed AI models and systems ensuring robustness and accuracy.
- Optimize computational costs and infrastructure utilization for large-scale 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 event-driven architectures and real-time 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 fine-tuning. 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 problem-solving and analytical abilities.
- Superior communication and collaboration skills with experience managing high-performing teams.
- Ability to operate effectively in a dynamic fast-paced 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 Algorithm Development Alteryx (Automation Platform) Analytical Thinking Analytic Research Big Data Business Data Analytics Coaching and Feedback Communication Complex Data Analysis Conducting Research Creativity Customer Analysis Customer Needs Analysis Dashboard Creation Data Analysis Data Analysis Software Data Collection Data-Driven Insights Data Integration Data Integrity Data Mining Data Modeling 43 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:
Manager
Employment Type
Full-Time
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