GenerativeAI Manager

We are seeking seasoned professionals with 8 to 15 years of experience in AI, data science, and leadership to join as Generative AI Manager & Senior Manager. This role focuses on driving innovation through Generative AI solutions, leading cross-functional teams, and delivering transformative business outcomes for clients. Skill: GenerativeAI Manager & Senior Manager Location: Bhubaneswar, Noida & Kolkata only Total Experience: 8 to 15 years Key Responsibilities: Strategy & Innovation Define and execute Generative AI strategy aligned with PwC India’s digital transformation goals.

Identify opportunities to leverage Generative AI across industries such as financial services, healthcare, retail, and manufacturing. Evaluate emerging AI technologies and integrate them into client solutions. Solution Development & Delivery Architect and implement Generative AI models (LLMs, diffusion models, transformers) using platforms such as Azure OpenAI, Hugging Face, and other enterprise AI frameworks.

Lead design and deployment of AI-powered applications including chatbots, content generation, document summarization, and intelligent automation. Ensure scalability, performance, and ethical use of AI solutions. Leadership & Stakeholder Engagement Manage and mentor AI engineers, data scientists, and solution architects.

Collaborate with business leaders to translate client requirements into AI-driven solutions. Drive adoption of Generative AI across PwC India’s service lines. Governance & Compliance Establish frameworks for responsible AI, ensuring compliance with data privacy, security, and ethical standards.

Implement monitoring and evaluation mechanisms for AI models to ensure fairness, transparency, and accountability. Required Skills & Qualifications 8 to 15 years of experience in AI/ML, data science, or advanced analytics, with at least 3+ years in leadership roles. Strong expertise in Generative AI technologies (LLMs, GPT, BERT, diffusion models).

Hands-on experience with cloud platforms (Azure, AWS, GCP) and enterprise AI tools. Proficiency in Python, TensorFlow, PyTorch, and ML Ops frameworks. Deep understanding of data governance, compliance, and ethical AI practices.

Excellent leadership, communication, and stakeholder management skills. Preferred Qualifications Advanced degree in Computer Science, Data Science, or related fields. Certifications in AI/ML or cloud platforms (Azure AI Engineer, AWS Machine Learning Specialty).

Experience in delivering AI solutions for global clients. Exposure to industry-specific AI applications (finance, healthcare, supply chain)