Senior Engineer-GenAI Platform Engineering
Core
Architecting and building enterprise-scale Generative AI platforms leveraging Data Science, Event Platform, and Data Quality capabilities to enable self-service, governed, and scalable AI solutions across Consumer, Banking, Wealth, and Enterprise organizations.
Role type
Senior Platform Engineering Lead (GenAI)
Builds
Reusable enterprise platform services, agentic AI applications, intelligent workflows, and event-driven architectures for AI adoption and digital transformation.
Domain
Financial Services / Generative AI / Data Engineering
Deliverable
production ML models | infrastructure | product features
Required skills
Enterprise GenAI platform architecture, LLM integration, agent frameworks, vector-enabled architectures, self-service AI/ML lifecycle design, metadata-driven platforms, Python, event-driven/streaming architectures (Kafka, Spark, Flink), Kubernetes/cloud-native environments, distributed systems, CI/CD/DevSecOps, platform observability.
Preferred skills
Enterprise-wide GenAI ecosystems (AI gateways, model management, prompt management), RAG, agentic architectures, MCP servers, cloud-native AI platforms, developer platforms, enterprise AI governance.
Technologies
Python, Kafka, Apache Spark, Flink, Kubernetes, open-source AI/ML frameworks, vector databases, MCP servers.
Responsibilities
Define strategy and architecture for next-gen AI platforms; design and deliver reusable platform services for end-to-end AI workflows; lead design of agentic AI applications and event-driven architectures; establish enterprise standards and reference architectures; drive platform modernization with cloud-native technologies; ensure security, governance, and operational excellence; provide technical mentorship and architectural direction.
Seniority
Senior, hands-on IC with leadership responsibilities