Job ID
67289
Category
Enterprise Technology
Location
Bengaluru, India
Work Type
Hybrid

You will be responsible for defining and governing AI project lifecycles — from data acquisition and experimentation to production deployment, monitoring, and continuous optimization. You will lead AI engineers and data scientists, establish best practices, and drive enterprise-grade AI adoption using contemporary MLOps and LLMOps principles.

This role requires solid collaboration with business stakeholders, product leaders, engineering teams, and enterprise architects to ensure AI investments are aligned with measurable business outcomes.

Strategic Thinking & Leadership
Partner with business leaders to identify high-impact AI opportunities and translate them into scalable AI/ML solutions.
Define and communicate AI product vision, roadmaps, and measurable success metrics.
Drive AI strategy across predictive analytics, Generative AI, and intelligent automation initiatives.
Establish governance frameworks for Responsible AI, model explainability, fairness, and compliance.




Lead cross-functional AI programs and influence executive stakeholders through compelling insights and presentations.

Technical Leadership & Expertise
Architect and oversee end-to-end AI/ML and GenAI systems, including:
Predictive analytics models
Deep Learning and Neural Networks
NLP and computer vision solutions
Retrieval-Augmented Generation (RAG) systems
Agentic AI frameworks and multi-agent orchestration systems
Robust proficiency in Google Cloud Platform (GCP) services for AI/ML (Vertex AI, BigQuery, Dataflow, Cloud Storage)
Deep expertise in machine learning algorithms including ensemble methods, neural networks, regression models, simulation and optimization techniques, NLP, and image processing
Experience building AI systems using TensorFlow, PyTorch, Keras, and Python-based ecosystems
Experience with LLMs, foundation models, prompt engineering, fine-tuning, and e

📌 Manager, Ai Engineering Bengaluru (India)
🏢 Ford Motor
📍 India