AI Delivery Lead | 11 + yrs exp | Bangalore

Role : AI Delivery Lead

Location: Bangalore (4 days' work from office mode)

Experience: 11-15 Years

Key Pointers:

• Pharma background is mandate for all roles.
• Notice Period: Max 45-60 Days only

***************************************************************************

IMMEDIATE JOINERS ALERT!

We're looking for candidates who can join immediately.

If you're available, please send your CV via WhatsApp only to: 9076159575

Please note: No calls will be entertained. ****************************************************************************

Job Description

We are seeking an experienced AI Delivery Leader to lead the successful execution of enterprise-scale AI, Generative AI, and Advanced Analytics programs for global clients. This role is responsible for driving AI transformation initiatives from

strategy through deployment, managing cross-functional delivery teams, and ensuring measurable business outcomes.

The ideal candidate will possess strong expertise in AI/ML and GenAI technologies, coupled with proven experience managing large-scale technology consulting and delivery engagements. Experience in Pharma, Life Sciences, Healthcare, or other data-intensive industries is preferred but not mandatory.

Your responsibilities will include:

AI & GenAI Program Leadership

• Lead end-to-end delivery of enterprise AI, Machine Learning, and Generative AI programs.
• Own solution delivery across the AI lifecycle, including use case discovery, architecture design, model development, deployment, adoption, and value realization.
• Drive AI transformation initiatives for global clients and business

stakeholders.

• Translate business challenges into scalable AI and data-driven solutions.

Generative AI & Emerging Technologies

• Lead the design and deployment of GenAI applications leveraging:
• Large Language Models (LLMs)
• RAG Architectures
• AI Agents and Agentic Frameworks
• Conversational AI
• Knowledge Graphs
• Multi-Agent Systems
• Establish best practices for prompt engineering, model evaluation, AI governance, and responsible AI adoption.
• Drive experimentation and innovation using emerging AI technologies.

Delivery & Team Leadership

• Lead cross-functional teams consisting of:
• Data Scientists
• AI/ML Engineers
• GenAI Engineers
• Data Engineers
• Product Managers
• Domain Consultants
• Provide technical leadership, mentorship, and delivery oversight across multiple programs.
• Ensure project delivery excellence, quality assurance, risk management, and stakeholder satisfaction.

Client & Stakeholder Management

• Partner with client executives to define AI roadmaps and transformation strategies.
• Present AI solutions, business cases, and implementation approaches to senior leadership.
• Act as a trusted advisor to clients on AI adoption and enterprise-scale implementation.
• Manage executive stakeholder expectations and drive decision-making.

Practice & Business Growth

• Support AI practice development and capability building.
• Contribute to solution development, proposal creation, and pre-sales activities.
• Drive account growth through identification of AI transformation

opportunities.

• Help establish reusable accelerators, frameworks, and AI delivery assets.

Skills Required

• AI, Machine Learning & Advanced Analytics
• 10-15+ years of experience in Analytics, AI/ML, Data Science, or Digital Transformation.
• Proven experience leading large-scale AI and Advanced Analytics programs.
• Strong understanding of:
• Machine Learning
• Deep Learning
• NLP
• Predictive Modeling
• Recommendation Systems
• Forecasting
• Optimization
• Causal Inference
• Experience with Python and ML frameworks such as TensorFlow, PyTorch, and Scikit-learn.
• Generative AI Leadership
• Proven experience delivering enterprise-grade GenAI solutions in production environments.
• Strong expertise in:
• GPT, Claude, Gemini, Llama, and other LLMs
• RAG
• Agentic AI Frameworks
• LangChain
• LlamaIndex
• Vector Databases
• Prompt Engineering
• Fine-Tuning
• Knowledge Graphs
• LLM Evaluation & Monitoring
• Experience with cloud AI platforms:
• Azure OpenAI
• AWS Bedrock
• Google Vertex AI
• Solution Architecture & Delivery
• Strong understanding of enterprise AI architecture patterns.
• Experience managing AI platforms and MLOps/LLMOps ecosystems.
• Ability to design scalable, secure, and production-ready AI solutions.
• Experience delivering AI applications from proof-of-concept to enterprise deployment.
• Leadership & Consulting
• Proven track record of leading multi-million-dollar consulting or technology engagements.
• Strong executive communication and stakeholder management skills.
• Demonstrated ability to manage global and distributed delivery teams.
• Experience owning delivery governance, resource planning, financial management, and program execution.

Preferred Experience (Good to Have)

Pharma / Life Sciences Domain

Experience in Pharma, Life Sciences, Healthcare, or Biotech industries is preferred but not mandatory.

Exposure to areas such as:

• Commercial Analytics
• Patient Analytics
• Medical Affairs
• Market Access
• Real-World Evidence (RWE)
• Clinical Analytics
• Launch Excellence

Knowledge of healthcare/pharma data assets such as:

• IQVIA
• Symphony
• Veeva
• Claims Data
• EHR/EMR Data
• Specialty Pharmacy Data

Education / Qualification

• Master's Degree, MBA, MS, M.Tech, PhD, or equivalent.
• Certifications in AI/ML, Cloud Technologies, Data Science, or Generative AI.
• Experience within consulting, AI services, analytics, or digital transformation organizations.
• Experience building and scaling AI CoEs, GenAI practices, or enterprise AI capability programs.

Years of Experience

• 11+ years of relevant experience managing projects or customer engagements in a fast-paced environment across various industries or functions.