AI Engineer
Zensar Technologies
Salary undisclosed
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Description
- Design, develop, and deploy AI/ML models for business use cases.
- Build and optimize machine learning pipelines from data preparation to model deployment.
- Develop predictive, classification, recommendation, and NLP solutions.
- Fine-tune and evaluate foundation models and LLMs.
- Design and implement Generative AI applications using LLMs.
- Develop Retrieval-Augmented Generation (RAG) solutions.
- Create prompt engineering frameworks and reusable AI workflows.
- Integrate AI copilots, chatbots, and virtual assistants into enterprise platforms.
- Implement AI governance, monitoring, and responsible AI practices.
- Collaborate with Data Engineers and Data Scientists to prepare training datasets.
- Develop APIs and microservices for AI model consumption.
- Integrate AI services with enterprise systems and cloud platforms.
- Deploy AI solutions using MLOps best practices.
- Monitor model performance, accuracy, drift, and reliability.
- Ensure scalability, security, and compliance requirements are met.
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.
Benefits
- professional development
About this role
Zensar is looking for an AI Engineer to own the full lifecycle of machine learning and generative AI solutions—from model design and optimization through deployment and monitoring. You'll work across predictive analytics, NLP, recommendation systems, and LLM-based applications, including building RAG solutions, prompt engineering frameworks, and enterprise AI copilots. The role also involves collaborating with data teams to prepare training datasets, developing APIs and microservices for model consumption, and ensuring deployed solutions meet performance, security, and compliance standards using MLOps practices.
This is a full-time, in-office position at Zensar Technologies' India location. The company is a 10,000+ person digital solutions firm serving over 130 enterprises, part of the $4.8 billion RPG Group. You'd be joining a team that values client focus, collaboration, and continuous learning, with exposure to work across multiple industries and geographies.
The role suits engineers with hands-on experience building and deploying ML models, familiarity with foundation models and LLMs, and comfort working at the intersection of data engineering, MLOps, and enterprise systems integration. If you're looking to move beyond model experimentation into production AI systems at scale, this offers that scope.
How this employer is doing
average
- Active Visa Sponsor
Pay for this role
The employer didn't post a pay range for this role. That usually means pay is set in negotiation, which favors whoever arrives with numbers. Check ranges on comparable AI Engineer postings in your area, and analyze any offer before you accept it.
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