Senior Computer Scientist 1

Adobe Adobe · Enterprise · Noida, India

This role is for a Senior Computer Scientist to build the core AI platform for intelligent developer workflows at Adobe. The platform will enable teams to build, deploy, manage, and scale AI agents and skills across the entire software engineering lifecycle, integrating LLMs, agentic workflows, and cloud infrastructure. The focus is on developing scalable infrastructure for agent orchestration, evaluation, observability, and runtime execution, with a strong emphasis on distributed systems and backend services.

What you'd actually do

  1. Compose and build the core AI platform powering intelligent developer workflows across Adobe.
  2. Develop scalable infrastructure for crafting, deploying, orchestrating, and managing AI agents and reusable skills.
  3. Build distributed backend services for context management, agent orchestration, evaluation, observability, and runtime execution.
  4. Build highly reliable, low-latency systems supporting AI-powered developer interactions.
  5. Drive architectural decisions around agentic systems, multi-agent collaboration, retrieval, memory, and context management.

Skills

Required

  • 10+ years of experience crafting and building large-scale distributed systems
  • Strong programming skills in Python, Java, or similar backend languages
  • Strong understanding of distributed systems, cloud-native architectures, and backend services
  • Experience crafting scalable, highly available backend platforms
  • B.Tech/M.Tech./M.S. in Computer Science or equivalent
  • Experience building LLM-powered or GenAI applications
  • Experience with AI agents, agent orchestration frameworks (LangGraph, AutoGen, etc.), MCP, RAG, context management, evaluation frameworks, or reasoning models
  • Experience working with Kubernetes, Docker, and cloud infrastructure
  • Experience building CI/CD platforms and developer infrastructure
  • Knowledge of observability and monitoring platforms such as Grafana, Splunk, New Relic

Nice to have

  • Familiarity with AI coding assistants and developer efficiency platforms
  • Passion for building platforms that improve engineering efficiency at scale

What the JD emphasized

  • 10+ years of experience crafting and building large-scale distributed systems
  • Experience building LLM-powered or GenAI applications
  • Experience with AI agents, agent orchestration frameworks (LangGraph, AutoGen, etc.), MCP, RAG, context management, evaluation frameworks, or reasoning models

Other signals

  • AI Factory for Adobe engineers
  • platform enabling teams to build, deploy, manage, and scale intelligent AI agents
  • assist throughout the engineering lifecycle
  • foundational infrastructure that drives the next wave of AI-native software development
  • integrates LLMs, agentic workflows, developer tooling, evaluation systems, context management, orchestration frameworks, and cloud infrastructure