We are seeking a Senior Product Development AI Engineer with deep expertise in enterprise Java application development and hands-on experience integrating AI into the Software Development Life Cycle (SDLC). The ideal candidate will lead the design and development of scalable Java applications while driving AI adoption across development, testing, code quality, automation, and engineering productivity. Experience building or integrating AI-powered applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), or AI frameworks is highly desirable.
Key Responsibilities
Lead the architecture, design, and development of enterprise-grade Java applications.
Design and implement scalable microservices using Java, Spring Boot, and REST APIs.
Drive technical leadership across multiple engineering teams and mentor senior developers.
Integrate AI tools into the SDLC to improve developer productivity, code quality, testing, and documentation.
Leverage AI-assisted development tools such as GitHub Copilot, ChatGPT, Cursor, Claude, or similar platforms.
Build AI-enabled features using LLMs, prompt engineering, vector databases, and RAG architectures where applicable.
Establish engineering best practices for secure, scalable, and maintainable software development.
Collaborate with product managers, architects, DevOps, QA, and data engineering teams.
Lead code reviews, performance optimization, and production support activities.
Define technical roadmaps and guide modernization initiatives.
Drive CI/CD automation and cloud-native development practices.
Ensure application security, observability, and compliance with enterprise standards.
Required Skills
5+ years of Core Java development experience.
Strong expertise in Java , Spring Boot, Spring MVC, Spring Security, and Spring Data.
Extensive experience with Microservices architecture.
Strong understanding of multithreading, concurrency, JVM tuning, and performance optimization.
Experience with RESTful APIs, and messaging technologies.
Strong SQL and NoSQL database experience (Oracle, PostgreSQL, MongoDB, Cassandra, Redis).
Experience with Docker, Kubernetes, and containerized deployments.
Hands-on experience with AWS, Azure, or Google Cloud Platform.
Strong knowledge of CI/CD pipelines using Jenkins, GitHub Actions, GitLab CI, or Azure DevOps.
Experience with Git, Maven, Gradle, SonarQube, Nexus, and Artifactory.
Strong knowledge of software design patterns and clean architecture.
AI & AI-Enabled SDLC Experience
Experience using AI tools throughout the SDLC, including:
AI-assisted coding
Automated unit test generation
Code reviews
Documentation generation
Refactoring
Bug analysis
Root cause analysis
Security scanning
experience with:
Large Language Models (LLMs)
Prompt Engineering
Retrieval-Augmented Generation (RAG)
AI Agents
MCP (Model Context Protocol) concepts
Vector databases
LangChain, LangGraph, LlamaIndex, or similar AI frameworks
OpenAI, Anthropic, Azure OpenAI, or Google Vertex AI
Nice to Have
Experience with Generative AI application development.
Knowledge of agentic AI architectures.
Experience with semantic search and vector embeddings.
Exposure to AI governance, compliance, and responsible AI frameworks.
At Clarivate, we are committed to providing equal employment opportunities for all qualified persons with respect to hiring, compensation, promotion, training, and other terms, conditions, and privileges of employment. We comply with applicable laws and regulations governing non-discrimination in all locations.
Skills Required
- 5+ years of software engineering and AI/ML experience with production GenAI and agent systems
- Experience building and scaling large, enterprise-grade GenAI solutions embedded into products
- Expert proficiency in Python, distributed systems, APIs, microservices, and system design
- Hands-on expertise with LLMs, agent frameworks (LangChain, AutoGen, CrewAI, LlamaIndex) and agent orchestration patterns
- Deep knowledge of RAG architectures, embeddings, vector databases (FAISS, Pinecone, Milvus, Weaviate) and retrieval/evaluation techniques
- Experience leading AI copilots, agentic platforms, or multi-product agent-based systems
- Familiarity with Model Context Protocol (MCP) and context standardization approaches
- Familiarity with AI governance frameworks, compliance, and regulated environments
- Contributions to internal AI platforms, open-source projects, or industry thought leadership
Clarivate Analytics Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Clarivate Analytics and has not been reviewed or approved by Clarivate Analytics.
-
Strong & Reliable Incentives — Incentives in sales and select product/tech roles provide meaningful upside for high performers, with commission structures boosting total compensation when targets are exceeded. Role-linked variable pay is a clear strength in revenue-driving positions.
-
Leave & Time Off Breadth — PTO is ample in the U.S., with paid parental leave available, making time-off policies a notable part of the package. Generous vacation and holiday allowances stand out as positives.
-
Wellbeing & Lifestyle Benefits — Hybrid and remote options are common and paired with a formal wellbeing framework and EAP, supporting work–life balance. Core medical, dental, and vision coverage is broadly available in the U.S., reinforcing everyday wellbeing support.
Clarivate Analytics Insights
What We Do
Clarivate™ is a global leader in providing solutions to accelerate the lifecycle of innovation. Our bold mission is to help customers solve some of the world’s most complex problems by providing actionable information and insights that reduce the time from new ideas to life-changing inventions in the areas of science and intellectual property. We help customers discover, protect and commercialize their inventions using our trusted subscription and technology-based solutions coupled with deep domain expertise. For more information, please visit clarivate.com.
.png)
