Design and develop enterprise-grade Generative AI and Agentic AI solutions.
• Build AI-powered assistants, copilots, and intelligent workflow automation platforms.
• Implement and optimize: Large Language Models (LLMs), Retrieval Augmented Generation (RAG),
Multi-Agent Systems, Semantic Search architectures
• Develop AI orchestration frameworks for autonomous and collaborative AI agents.
• Build scalable AI pipelines and microservices using Python and modern AI frameworks.
• Design vector search and enterprise knowledge retrieval solutions.
• Fine-tune prompts, optimize inference performance, and improve AI response quality.
• Develop secure API integrations and event-driven AI architectures.
• Collaborate with product, architecture, security, and engineering teams.
• Ensure responsible AI governance, security, compliance, and observability standards.
• Support deployment, monitoring, and continuous improvement of AI systems in production
5+ years of IT experience with strong expertise in AI/ML engineering.
• Deep hands-on expertise in: Generative AI & Large Language Models, Retrieval Augmented
Generation (RAG), Multi-Agent Systems & AI Orchestration, Semantic Search & Knowledge Retrieval,
NLP & Machine Learning
• Strong programming proficiency in: Python, AI/ML frameworks and libraries
• Experience with: LangChain, LangGraph, LlamaIndex, OpenAI/Azure OpenAI APIs, Hugging Face
ecosystem
• Strong understanding of: Prompt Engineering, AI Agents, Context Management, Embedding Models,
AI Evaluation Frameworks
• Hands-on experience with Vector Databases: Pinecone, Weaviate, ChromaDB, FAISS,
Elasticsearch/OpenSearch
• Experience building REST APIs and AI-powered microservices.
• Strong knowledge of cloud-native AI deployment patterns on AWS/Azure/GCP.
• Experience with Docker, Kubernetes, CI/CD, and MLOps practices.
• Familiarity with enterprise-scale secure AI implementation and governance frameworks.
Experience building enterprise AI copilots and autonomous AI agent platforms.
• Background in Financial Services, Cards & Payments, Fraud & Disputes, or Customer Servicing
domains.
• Experience with conversational AI, intelligent automation, and enterprise search solutions.
• Exposure to highly regulated enterprise environments.
• Strong stakeholder communication and architecture leadership skills.
Tools & Technologies
AI & GenAI - OpenAI, Azure OpenAI, Anthropic Claude, Hugging Face, LangChain, LangGraph, LlamaIndex,
Transformers
AI/ML & NLP - Python, PyTorch, TensorFlow, Scikit-learn, NLP, Prompt Engineering, AI Agents, RAG
Pipelines
Vector & Search Technologies - Pinecone, Weaviate, FAISS, ChromaDB, Elasticsearch, OpenSearch
Cloud & DevOps - AWS, Azure, GCP, Docker, Kubernetes, Jenkins, GitHub Actions, Azure DevOps
Integration Technologies - REST APIs, Microservices, Kafka, JSON/XML, API Gateway
Monitoring & Observability - Splunk, Dynatrace, Prometheus, Grafan
Part of the $4.8 billion RPG Group, we’re a community of 10,000+ innovators across 30+ global locations, including Milpitas, Seattle, Princeton, Cape Town, London, Zurich, Singapore, and Mexico City. Explore Life at Zensar and join us to Grow. Own. Achieve. Learn. to be the best version of yourself.
We believe the best work happens when individuality is celebrated, growth is encouraged, and well-being is prioritized. We are an equal employment opportunity (EEO) and affirmative action employer, committed to creating an inclusive workplace. All qualified applicants will be considered without regard to race, creed, color, ancestry, religion, sex, national origin, citizenship, age, sexual orientation, gender identity, disability, marital status, family medical leave status, or protected veteran status.
Skills Required
- 5+ years of IT experience in AI/ML engineering
- Hands-on expertise in Generative AI, Large Language Models (LLMs), RAG, Multi-Agent Systems, Semantic Search, NLP and Machine Learning
- Strong programming proficiency in Python
- Experience with LangChain, LangGraph, LlamaIndex, OpenAI/Azure OpenAI APIs, Hugging Face ecosystem
- Knowledge of prompt engineering, AI agents, context management, embedding models, and AI evaluation frameworks
- Hands-on experience with vector databases: Pinecone, Weaviate, ChromaDB, FAISS, Elasticsearch/OpenSearch
- Experience building REST APIs and AI-powered microservices
- Cloud-native AI deployment experience on AWS, Azure, or GCP
- Experience with Docker, Kubernetes, CI/CD, and MLOps practices
- Familiarity with enterprise-scale secure AI implementation, governance, security, and compliance frameworks
- Experience building enterprise AI copilots and autonomous AI agent platforms
- Strong stakeholder communication and architecture leadership skills
- Background in Financial Services, Cards & Payments, Fraud & Disputes, or Customer Servicing domains
- Exposure to highly regulated enterprise environments
Zensar Technologies Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Zensar Technologies and has not been reviewed or approved by Zensar Technologies.
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Retirement Support — A 401(k) with company match and immediate vesting is highlighted, with broad fund options available.
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Wellbeing & Lifestyle Benefits — Work-life balance, remote/hybrid flexibility, and supportive teams are emphasized as strengths that enhance the overall experience.
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Parental & Family Support — Inclusive policies such as parental leave and access to EAP and dependent medical coverage are promoted across regions.
Zensar Technologies Insights
What We Do
Zensar is a leading experience, engineering, and technology solutions company. We conceptualize, build, and manage digital products for Forbes Global 2000 clients across the hi-tech engineering, banking and financial services, insurance, manufacturing and consumer services verticals. With proven excellence across five core areas, including experience services, advanced engineering services, data engineering and analytics, foundation services, and application services, our solutions leverage industry-leading platforms to help our clients be competitive, agile, and disruptive while moving with velocity through change and opportunity. Zensar’s expansive ecosystem of 60+ technology partners, including Oracle, Salesforce, SAP, Guidewire, Automation Anywhere, Adobe, and UiPath, enables us to deliver comprehensive solutions to clients, facilitating seamless integration and allowing them to leverage cutting-edge technologies and tools for enhanced business outcomes. Zensar is part of the USD 4.4 billion RPG Group. With headquarters in Pune, India, our 10,500+ employees, representing over 50 nationalities, work from 30+ locations across North America, UK/Europe, and South Africa. Visit us at www.zensar.com

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