Senior Consultant | Generative AI | Mumbai | Engineering | Platform Development & Integration
Deloitte (company site, opens in a new tab)MumbaiOn-siteDirect career pageEst. 25–40 LPA
Posted 22h ago
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Job description
Structured overview of role & requirements
About This Role
- Lead architecture, design, and development of enterprise Agentic AI platforms on AWS focusing on scalability, security, and governance.
- Collaborate with executive stakeholders including CXOs to define platform strategy, operating models, governance frameworks, and reusable AI capabilities for large-scale enterprise adoption.
- Establish architecture review boards, engineering governance processes, and adoption roadmaps to accelerate enterprise AI transformation programs.
Minimum Requirements
- Proven experience architecting enterprise-scale AI and Agentic AI platforms on AWS using services like Amazon Bedrock, SageMaker, OpenSearch, Neptune, Lambda, ECS/EKS.
- Experience designing multi-agent and human-in-the-loop AI architectures and defining engineering standards for AI platforms.
- Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, or related field.
- Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Experienced in cloud-native AI platform design with strong expertise in AWS AI services and agent runtime orchestration.
- Skilled in AI governance, risk management, model monitoring, and implementing Responsible AI and security compliance frameworks.
- Strong in enterprise architecture governance and stakeholder management with prior consulting or advisory experience involving large enterprise clients in sectors like Banking, Insurance, Healthcare, Manufacturing, or Retail.