Senior Computer Scientist
Adobe · Noida · onsite · Posted 70d ago
Undisclosed6–14 yrsfulltimeSourced from
About a minute. You'll make an account on the way through.
About this role
Job Summary
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
Search, Discovery, and Content AI (SDC) plays a crucial role in Adobe's search ecosystem. It assists creative professionals and enterprise clients in locating and using digital assets such as images, videos, and documents. As demand increases for intuitive search and AI assistant functions within Adobe's Creativity Productivity (CP) surfaces (DC, Firefly, Lightroom, Express, CC), SDC is evolving into a generative AI engine. This development builds how enterprise customers discover and engage with creative assets at scale.
Our team builds the infrastructure for interpreting intent, delivering personalized recommendations, and orchestrating actions. If working at the intersection of machine learning, generative AI, and real-time systems excites you, we'd love to have you join us.
The Opportunity We're looking for a senior technical leader in information retrieval, search indexing, and distributed systems. You'll be responsible for the architecture of indexing documents in Elasticsearch/Lucene, relevance and ranking algorithms, large-scale data pipelines, ML-powered search, and multi-lingual query processing. The role carries real authority: you'll independently develop a unified search and assistant strategy across multiple surfaces. You'll serve as the primary technical authority working with Product, Applied Research, and engineering leads, and make architecture decisions with long-term impact.
We especially want engineers who build with AI daily. They use coding agents, LLM-based tools, and automation to develop, prototype, and ship faster and better. They don't just build AI features for users.
Responsibilities - Define the technical direction for hybrid search and AI assistant features throughout Adobe's CP interfaces. Develop a unified method that functions effectively across different surfaces with varied data models and usage behaviors.
- Own the architecture for indexing, query processing, ranking, and recommendations, including ML-based ranking and assistant workflows. Scale to billions of assets in real time.
- Set direction for platform evolution: benchmark new approaches to relevance, latency, and cost, and make build-vs-buy calls, including where generative AI can replace older methods.
- Employ AI coding agents (such as Claude Code) and LLM-assisted workflows routinely for development, testing, and documentation. Encourage widespread usage across teams.
- Set and enforce engineering standards (build reviews, code quality, performance benchmarks). Mentor engineers on distributed systems, search expertise, and AI-assisted development.
- B.Tech or M.Tech in Computer Science, or equivalent experience.
- 13+ years of industry experience, with a track record of owning architecture for large-scale, production distributed systems.
- Proven experience setting technical direction across product areas with different data structures and customer needs. Comfort acting as the lead technical expert alongside Product and Applied Research/ML teams, and turning early-stage research into production architecture.
- Deep hands-on skills in Java and/or Python, stream processing (Kafka, Storm, Hadoop, Spark), and large-scale ingestion/indexing pipelines in production.
- Strong background in REST/web services architecture and AWS infrastructure (compute, storage, messaging, scaling).
- Substantial Elasticsearch/Solr experience: index build, sharding strategy, cluster architecture at scale, and a solid grasp of search internals like inverted indexes and query processing.
- Semantic search or AI assistant experience (embeddings, vector search, RAG, agentic build) is strongly preferred.
- Daily use of AI coding tools and agentic workflows (Claude Code, GitHub Copilot, Cursor), applying LLMs for code generation, architecture development, testing, or documentation as standard practice.
- RDBMS/NoSQL data modeling experience is a plus.
Noida
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
Sourced from naukri
Skills
Automationclaudecode qualityadobe experience platformamazon web servicesClaude Codeadobe experience managercopilotcursorAws Infrastructuredata modelsData StructurescloudAlgorithmsArchitectureData ModelingData PipelineArtificial Intelligence
About Adobe

Adobe
Software Product
8.5k+
employees
1982
44 years old
San Jose,California
United States
About
Leading graphics, illustrations & marketing solutions software suite
Industries
Software ProductInternetIT Services & Consulting
Employee ratings
1,398 reviews
3.7/ 5
Culture
3.8
Career growth
2.9
Work-life
3.7
Employees rate it well for
Work Culture203Work Life Balance183Senior Management125Salary87Learning82
Find them on