Begumpet Hyderabad Telangana Principal engineering program Jobs – 144 Open Jobs Today

Search Architect - 12+ Years (Hyderabad, Bengaluru & Chennai)
Informica Solutions —Hyderabad, Telangana
- Full-time
- Azure
- Java
- Databases
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SJCS Technologies —Hyderabad, Telangana
- Up to ₹50,000 a month
- Full-time
- Business development
- Travel
- In-person
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10d

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Search Architect - 12+ Years (Hyderabad, Bengaluru & Chennai)

Informica Solutions
Hyderabad, Telangana

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Job details

Full-time

Qualifications

Lucene
Spring Boot
Search engines
Elasticsearch
Azure
Kubernetes
PyTorch
Spark
Java
Databases
AWS
Docker
Machine learning
Continuous integration
REST
Natural language processing
APIs
Scalability
Apache
Kafka
Solr
Solution architecture
AI
gRPC
Leadership
Python
Spring framework

Full job description

Role Summary

We're looking for a Principal Search/AI Engineer to join our team of search experts and serve as technical lead on large-scale search modernization projects and programs for Fortune-1000 clients. You will collaborate with our established search practice to design, build, and optimize AI-powered search platforms that deliver rich content and product discovery experiences. In this role, you'll drive technical excellence across multi-year digital transformation initiatives, lead solution architecture, and mentor engineering teams while implementing cutting-edge search solutions enhanced with AI and agentic capabilities for our retail, e-commerce, and enterprise clients.

Key Responsibilities

Search Platform Leadership

Lead technical architecture and strategy for complex search modernization programs spanning multiple years and teams

Drive end-to-end ownership of Lucene-based search platforms (Solr/Elasticsearch/OpenSearch) including schema design, index pipelines, scaling, and monitoring

Architect high-throughput, low-latency Java services that expose search functionality via REST/gRPC APIs

Design and implement advanced search relevance strategies including semantic search, hybrid approaches, and AI-enhanced ranking

Perform sophisticated relevance tuning leveraging BM25, TF-IDF, vector similarity, and learning-to-rank methodologies

AI and Agentic Search Innovation

Prototype and productionize next-generation search features including faceted navigation, autocomplete/type-ahead, spell-checking, vector search, and hybrid retrieval

Lead integration of AI-powered conversational search, intelligent query understanding, and agentic workflows to enable natural-language and multi-turn search experiences

Architect and implement agentic AI frameworks (LangGraph, LangChain) for multi-agent search workflows and intelligent content discovery

Technical Leadership and Collaboration

Partner with data scientists and ML engineers to deploy and optimize PyTorch-based ranking models for query understanding, embeddings, and re-ranking

Lead design and implementation of data pipelines (Python/Java/Spark/Dataflow) to generate training signals from user behavior analytics

Mentor and guide engineering teams on search best practices, performance optimization, and emerging AI technologies

Drive technical decision-making across cross-functional teams and stakeholder groups

Quality and Operational Excellence

Establish comprehensive metrics, alerting, and automated testing frameworks to guarantee SLA compliance at enterprise scale

Lead performance profiling and capacity planning for indexes serving hundreds of millions of documents or SKUs

Drive continuous improvement initiatives for search relevance, performance, and user experience metrics

Required Qualifications

8+ years building enterprise-scale back-end systems in Java (Spring Boot or similar) with demonstrated focus on performance, scalability, and reliability

5+ years hands-on leadership experience with Lucene-based search engines (Apache Solr, Elasticsearch, or OpenSearch) including advanced index design, relevance tuning, and cluster operations

3+ years’ experience as technical lead on large-scale search or platform modernization programs for enterprise clients

Proven track record delivering AI-enhanced search solutions handling 100M+ documents/SKUs at Fortune-1000 scale (e-commerce, media, enterprise content, or similar)

Deep understanding of information retrieval concepts including tokenization, analyzers, BM25, TF-IDF, vector similarity, semantic search, and machine learning integration

Strong proficiency in Python for data manipulation, ML model integration, and prototyping

Extensive experience with cloud-native architectures, Docker/Kubernetes, CI/CD, and enterprise deployment (AWS, GCP, or Azure)

Demonstrated leadership in mentoring engineers and driving technical excellence across teams

Preferred / Bonus Skills

Expert-level understanding of Lucene-based search engines and their underlying architecture, performance characteristics, and optimization strategies

Hands-on experience with modern search platform ecosystem including Algolia, Coveo, Lucidworks, Constructor.io, or Vertex AI Search

Proven experience implementing agentic AI frameworks (LangGraph, LangChain) and orchestrating multi-agent search workflows

Advanced experience embedding and serving PyTorch models for Learning-to-Rank, embeddings, conversational AI, and generative re-ranking

Deep knowledge of vector databases and similarity search (OpenSearch/ES K-NN, Milvus, Pinecone, Weaviate, Chroma)

Experience designing streaming data pipelines (Apache Kafka, Pub/Sub, Apache Flink) for real-time indexing and personalization

Active contributions to open-source information retrieval/ML projects, published research, or recognized technical thought leadership

Experience with cloud-native search services (AWS CloudSearch, GCP Vertex AI Search, Azure Cognitive Search) and hybrid architectures

Background in natural language processing, transformer models, and large language model integration

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