AI Architect - Bangalore

About the Role :

We are looking for an AI Architect to lead our AI Data Science function and drive the AI strategy for our Customer Data Platform (CDP). You will own the vision, architecture, and delivery of AI/ML capabilities that transform how enterprise clients understand and engage with their customers.

Build and lead a small high impact team and be accountable for shipping production AI features that directly impact client outcomes. If you enjoy working at the intersection of AI, large-scale data systems, and real business impact, this role is for you.

What You Will Do

• Define the AI/ML strategy and roadmap for the CDP, aligned with product and business goals
• Build and lead the Data Science team - hire, mentor, and grow AI/ML talent
• Design and build AI-powered automation for client data onboarding and schema mapping - reducing manual effort and accelerating time-to-value
• Develop customer segmentation, clustering, and look-alike modeling capabilities
• Build predictive models for customer behaviour - churn prediction, conversion propensity, next-best-action recommendations
• Design NLP-powered capabilities for natural language querying and automated insight generation
• Develop identity resolution and entity matching algorithms to unify customer profiles across data sources
• Own the full model lifecycle - training, evaluation, deployment, monitoring, and retraining in production
• Integrate AI/ML models into the core platform and client-facing applications
• Collaborate with engineering teams to ensure clean, structured data pipelines for model training and feature engineering
• Work with client-facing engineers to understand real-world use cases and translate them into AI solutions
• Partner with Product Management to identify high-impact AI opportunities and prioritize the roadmap

What You Bring (Must-Have)

• 10+ years in data science / ML engineering, with 3+ years in a lead or architect role
• Deep expertise in building and deploying production ML systems - not just research or notebooks
• Strong experience with LLMs and AI agents - RAG, prompt engineering, agentic frameworks
• Proficiency in Python, with hands-on experience in ML frameworks (PyTorch, TensorFlow, scikit-learn)
• Experience building NLP systems - text classification, entity extraction, semantic search, embeddings
• Strong understanding of data engineering fundamentals - feature stores, data pipelines, data quality
• Experience with model deployment and serving in production environments
• Experience with vector databases and retrieval-augmented generation (RAG) patterns
• Proven ability to build and lead a small, high-impact team
• Strong communication skills - ability to translate AI capabilities into business outcomes for non-technical stakeholders

Nice to Have

• Experience in CDP, MarTech, AdTech, or customer analytics platforms
• Knowledge of customer identity resolution - probabilistic and deterministic matching techniques
• Experience with customer segmentation, attribution modeling, or recommendation systems at scale
• Background in working with enterprise clients in regulated industries
• Experience with cloud-based ML platforms (SageMaker, Vertex AI, or similar)
• Familiarity with data warehouses (Snowflake, BigQuery) and streaming systems (Kafka)

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.