This role involves leading engineering teams to design and deliver enterprise-grade GenAI and Agentic AI solutions aligned with business objectives
Job Summary
This role involves leading engineering teams to design and deliver enterprise-grade GenAI and Agentic AI solutions aligned with business objectives.
The successful candidate will establish architectural patterns for RAG pipelines, LLM inference, and multi-agent orchestration across AWS and hybrid environments.
You will be responsible for enforcing technology standards, managing risks, and ensuring the delivery of scalable, production-ready AI applications.
Matching Summary
This role involves leading engineering teams to design and deliver enterprise-grade GenAI and Agentic AI solutions aligned with business objectives.
Salary
Not specified; Not specified; Not specified
Skills & Requirements
Must-have
GenAI and Agentic AI solution design
AWS Bedrock SageMaker Lambda experience
RAG pipelines and LLM inference architecture
Vector databases and multi-agent orchestration
Enterprise AI governance and Responsible AI
Cloud-native microservices and API integration
Nice-to-have
Financial services domain expertise
Strong stakeholder management skills
Experience with autonomous workflow engines
Knowledge of CI/CD tools like Jenkins
Mentoring and leadership in AI communities
Key Requirements
Bachelor's degree in Computer Science or Engineering
Proven experience designing large-scale AI/ML systems
Senior professional track record in AI/ML and GenAI