AI Engineering Manager

Requirements: Strong experience in software/data/ML engineering, including significant hands-on work building and operating AI/ML or LLM-based solutions in production.Proven experience leading AI/ML/LLM engineering teams or acting as a senior technical lead, ideally in a global or distributed setup.Deep practical knowledge of GCP and Vertex AI, with experience designing and operating production workloads using Vertex AI models, endpoints, pipelines, and RAG/vector search.Experience with Microsoft AI / Azure AI Foundry or similar platforms, and familiarity with at least one modern agentic AI framework or platform.Solid understanding of LLMs and foundation models (transformers, tokenization, context windows, embeddings, RAG, fine-tuning vs. adapters vs. prompts, tool calling, and risks such as hallucinations or prompt injection).Hands-on experience designing and building AI agents or agentic workflows, integrating them with tools, APIs, and internal systems, and managing their reliability, safety, and observability.Strong background in security, governance, and compliance for AI solutions, including handling of sensitive data, role-based access controls, and auditability.Experience with DevOps/MLOps practices for AI: CI/CD, model and prompt versioning, environment management, infrastructure as code, monitoring, and incident management.Knowledge of AI evaluation techniques and model testing, including experiment design, quantitative and qualitative evaluation, and human-in-the-loop processes.Excellent communication and stakeholder management skills; able to collaborate Effectively with teams in India and internationally and to balance ambition, feasibility, and risk. Requirements: Strong experience in software/data/ML engineering, including significant hands-on work building and operating AI/ML or LLM-based solutions in production.Proven experience leading AI/ML/LLM engineering teams or acting as a senior technical lead, ideally in a global or distributed setup.Deep practical knowledge of GCP and Vertex AI, with experience designing and operating production workloads using Vertex AI models, endpoints, pipelines, and RAG/vector search.Experience with Microsoft AI / Azure AI Foundry or similar platforms, and familiarity with at least one modern agentic AI framework or platform.Solid understanding of LLMs and foundation models (transformers, tokenization, context windows, embeddings, RAG, fine-tuning vs. adapters vs. prompts, tool calling, and risks such as hallucinations or prompt injection).Hands-on experience designing and building AI agents or agentic workflows, integrating them with tools, APIs, and internal systems, and managing their reliability, safety, and observability.Strong background in security, governance, and compliance for AI solutions, including handling of sensitive data, role-based access controls, and auditability.Experience with DevOps/MLOps practices for AI: CI/CD, model and prompt versioning, environment management, infrastructure as code, monitoring, and incident management.Knowledge of AI evaluation techniques and model testing, including experiment design, quantitative and qualitative evaluation, and human-in-the-loop processes.Excellent communication and stakeholder management skills; able to collaborate Effectively with teams in India and internationally and to balance ambition, feasibility, and risk.