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 solid 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.

📌 GEN AI Senior Manager (India)
🏢 Tredence
📍 India