GEN AI Senior Manager

Role description
We are seeking an experienced Senior Manager – Generative AI to lead the design, development, and deployment of enterprise-scale AI and Generative AI solutions. The role requires a strong blend of technology leadership, solution architecture, stakeholder management, and people leadership. The ideal candidate will drive GenAI strategy, build high-performing teams, and deliver innovative AI-driven business outcomes across industries.
This role will partner closely with business leaders, data scientists, architects, engineering teams, and clients to translate business challenges into scalable AI solutions leveraging Large Language Models (LLMs), Agentic AI, RAG frameworks, Machine Learning, and cloud-native technologies.
Key Responsibilities
Strategy & Leadership
Define and drive the organization's Generative AI roadmap and innovation strategy.
Identify high-impact business opportunities for GenAI adoption.
Lead AI transformation initiatives for clients and internal stakeholders.
Collaborate with executive leadership to align AI investments with business goals.
Act as a thought leader and evangelist for AI/GenAI capabilities.
Solution Architecture & Delivery
Design enterprise-grade GenAI solutions using LLMs and foundation models.
Lead architecture reviews and establish AI engineering best practices.
Drive end-to-end delivery of AI programs from discovery through production deployment.
Build scalable, secure, and responsible AI systems.
Ensure adherence to governance, privacy, and compliance standards.
AI/GenAI Development
Lead implementation of:
Retrieval-Augmented Generation (RAG)
Agentic AI Systems
AI Copilots
Multi-Agent Frameworks
Conversational AI Solutions
Enterprise Search Solutions
Knowledge Management Platforms
Evaluate and integrate models from:
OpenAI
Azure OpenAI
Anthropic Claude
Google Gemini
Meta Llama
Mistral
Team Management
Build, mentor, and manage teams of Data Scientists, ML Engineers, AI Engineers, and Solution Architects.
Drive hiring, capability development, performance management, and career growth initiatives.
Establish a culture of innovation, collaboration, and continuous learning.
Provide technical coaching and architectural guidance.
Client & Stakeholder Engagement
Engage with CXOs and business leaders to understand strategic priorities.
Conduct AI workshops, assessments, and executive presentations.
Lead solutioning for RFPs, proposals, and pre-sales opportunities.
Drive stakeholder communication and program governance.
Responsible AI & Governance
Establish frameworks for:
AI Governance
Model Risk Management
LLM Evaluation
Prompt Engineering Standards
Responsible AI Practices
Monitor solution effectiveness and continuously optimize AI systems.
Required Qualifications
Education
Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, Mathematics, Statistics, or related field.
Experience
12-18+ years in Analytics, Data Science, AI/ML, or Software Engineering.
5+ years of leadership experience managing large technical teams.
3+ years of hands-on experience delivering Generative AI solutions in production environments.
Proven track record of leading enterprise-scale AI transformation programs.
Technical Skills
Generative AI
Large Language Models (LLMs)
Retrieval-Augmented Generation (RAG)
Fine-Tuning & Model Optimization
Prompt Engineering
Agentic AI
Knowledge Graphs
AI Copilots
Vector Databases
Machine Learning & Data Science
Supervised and Unsupervised Learning
Deep Learning
NLP
Recommendation Systems
MLOps
Programming
Python
SQL
PySpark
APIs & Microservices
Frameworks & Tools
LangChain
LangGraph
LlamaIndex
AutoGen
CrewAI
Semantic Kernel
Hugging Face
MLflow
Cloud Platforms
Microsoft Azure
Azure OpenAI
AWS Bedrock
Google Vertex AI
Data Platforms
Databricks
Snowflake
Synapse
Fabric
Hadoop Ecosystem
DevOps & MLOps
Docker
Kubernetes
CI/CD Pipelines
Model Monitoring
GitHub / Azure DevOps
Leadership Competencies
Strategic Thinking
Executive Presence
Client Relationship Management
Stakeholder Management
Team Building & Coaching
Business Acumen
Decision Making
Innovation Mindset
Problem Solving
Change Management
Preferred Qualifications
Experience leading GenAI Centers of Excellence (CoE).
Experience in consulting, analytics services, or data-driven product organizations.
Azure AI Engineer, Azure Data Scientist, AWS ML Specialty, or equivalent certifications.
Exposure to Responsible AI and AI Governance frameworks.
Experience working with Fortune 500 clients.

Work arrangement
Yes