Description

Lead enterprise AI solution architecture, backend engineering, and distributed systems design. You will own the design and implementation of GenAI applications, AI agents, and orchestration frameworks.

This role is on-site.

Responsibilities

• Design and build event-driven architectures, API integration platforms, and stateful workflow orchestration systems.
• Develop GenAI applications including RAG workflows, tool-calling systems, and enterprise chatbot platforms using major LLM providers.
• Implement secure enterprise identity and access management (Okta, SCIM, SSO, RBAC) and governance controls.
• Establish observability standards using OpenTelemetry for monitoring, logging, tracing, and operational dashboards.
• Manage CI/CD pipelines, DevOps practices, and deployment automation with robust rollback strategies.

Required Skills

• 5+ years of experience in enterprise solution architecture and distributed systems design.
• Strong backend engineering proficiency in Python, TypeScript, Node.js, Java, or Go.
• Hands-on experience with GenAI ecosystems: OpenAI, Claude, Azure OpenAI, Amazon Bedrock, Google Vertex AI, or Databricks.
• Deep understanding of prompt engineering, structured outputs, guardrails, function calling, and AI safety controls.
• Experience integrating enterprise platforms such as Slack, Jira, Zendesk, ServiceNow, and Confluence.
• Proficiency in CI/CD pipelines, DevOps practices, and operational lifecycle management.
• Strong knowledge of secure architecture, data privacy, compliance, and operational reliability.

Preferred Skills

• Experience with agent runtimes and advanced workflow engines.
• Proven stakeholder management across architecture, engineering, and security teams.

Referral Bonus: ₹50,000

Key Skills

Education

Bachelor's degree