Lead - AI Architect

Godrej Capital Share Show more options Lead - AI Architect  Mumbai, Maharashtra, India · 2 weeks ago · Over 100 applicants Promoted by hirer · Actively reviewing applicants On-site Full-time Easy Apply Save Save Lead - AI Architect  at Godrej Capital Job match summary not available This job post doesn't have enough information to generate a match summary. Get personalized tips to stand out to hirers Find jobs where you’re a top applicant and tailor your resume with the help of AI. Reactivate Premium: 50% Off People you can reach out to Pooja and others in your network Show all Meet the hiring team Kalyanni Agarwaal 2nd Talent Partner | Leadership Hiring | Godrej Capital | Michael Page| Piramal Finance | ICICI |JBIMS Job poster · 6 mutual connections Message About the job We are seeking a visionary and technically strong AI Architect to lead the design and delivery of enterprise-scale AI solutions. The ideal candidate will have deep expertise in architecting distributed AI systems, integrating GenAI capabilities, and deploying across both cloud-native and on-premise infrastructures. This role demands strategic thinking, hands-on technical leadership, and the ability to drive innovation across the AI landscape. Key ResponsibilitiesArchitect and design scalable AI platforms and applications for enterprise use cases.Design and implement AI systems that span across cloud (AWS, Azure, GCP) and non-cloud (on-premise, hybrid) environments.Integrate Generative AI capabilities (LLMs, multimodal models, RAG pipelines) into enterprise workflows.Define and enforce AI architecture standards, best practices, and governance models.Collaborate with data engineering, DevOps, product, and business teams to align AI solutions with strategic goals.Evaluate and select appropriate technologies, frameworks, and tools for AI/ML workloads.Ensure security, compliance, and ethical AI practices in all deployed solutions.Mentor junior engineers and contribute to building a high-performance AI engineering culture. Experience - 5-10 YearsPreferred Qualifications:Graduate/Post graduate in any tech/engineering streams Experience with enterprise data governance, model explainability, and responsible AI.Exposure to financial services, healthcare, or manufacturing domains.Certifications in cloud architecture (AWS Solutions Architect, Azure Architect, etc.).Thought leadership in AI through publications, patents, or conference talks.