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GenAI Manager

PwC
Bengaluru, IND
Full-time
Manager · 8+ years experience
Onsite
Discovered 6 days ago

Full Job Posting

Responsibilities

  • Leading GenAI and data modernization workstreams across cloud-based engineering engagements
  • Managing project plans, budgets, and delivery timelines for data platform initiatives
  • Guiding teams in developing GenAI solutions, data pipelines, and analytics-ready datasets
  • Reviewing architecture, data modeling, and integration approaches for scalability and maintainability
  • Coordinating the use of AWS, Azure, Snowflake, Databricks, and Airflow across client implementations
  • Coaching junior team members on data engineering methods, platform tooling, and delivery processes
  • Evaluating data quality, validation, security, and anonymization requirements for modern data environments
  • Identifying opportunities to improve data infrastructure, automation, performance tuning, and query optimization
  • Supporting client discussions on technology choices, delivery risks, and modernization roadmaps
  • What You Must Have
  • At least a Bachelor's degree
  • At least 8 years of experience
  • Oral and written proficiency in English required
  • Advanced programming skills in Python and fluency in data processing frameworks like Apache Spark.
  • Should have strong knowledge on LLM’s foundational model (OpenAI GPT4o, O1, Claude, Gemini etc), while need to have strong knowledge on opensource Model’s 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.
  • What Sets You Apart
  • Preference for at least one of the following fields of study: Management Information Systems, Computer and Information Science, Systems Engineering, Electrical Engineering, Chemical Engineering, Industrial Engineering, Mathematics, Statistics, Mathematical Statistics
  • Demonstrating experience leading GenAI data modernization workstreams
  • Applying AI fluency across cloud engineering and analytics delivery
  • Managing Databricks, Snowflake, or Azure Data Factory implementations
  • Coaching teams through agile data engineering execution
  • Translating business needs into data architecture decisions

Qualifications

  • Familiarity with Azure DevOps and other LLMOps tools for operationalizing AI workflows.

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