Upper Galilee Data / AI- Senior SW Engineer
Genpact
Business Consulting and Services · 10,001+ employees
About the role
The Senior AI Engineer will lead the research, design, and deployment of intelligent features for a multi-cloud SaaS orchestration platform using LLMs and Agentic AI. They will also collaborate with cross-functional teams to integrate AI pipelines and establish coding standards across AI modules.
What they look for
Requirements
Candidates must have 5+ years of experience in AI/ML systems with a proven track record in GenAI, LLMs, and transformer-based architectures. Proficiency in Python, cloud-native tools, and containerization is required, along with strong communication skills.
Full description
Ready to build the future with AI?
At Genpact, we don’t just keep up with technology. We set the pace. AI and digital innovation are redefining industries, and we’re leading the charge. Genpact’s AI Gigafactory, our industry-first accelerator, is an example of how we’re scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to agentic AI, our breakthrough solutions tackle companies’ most complex challenges.
If you thrive in a fast-moving, innovation-driven environment, love building and deploying cutting-edge AI solutions, and want to push the boundaries of what’s possible, this is your moment.
Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions – we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation, our teams implement data, technology, and AI to create tomorrow, today. Get to know us at genpact.com and on LinkedIn, X, YouTube, and Facebook.
Senior AI Engineer
This position is located at our Upper Galilee site in the Hubayta Complex
We are expanding our R&D team and looking for a talented and experienced AI Engineer with a strong background in Generative AI (GenAI) to join our core development team. In this role, you will drive the design, development, and deployment of intelligent features for our next-generation multi-cloud SaaS orchestration platform, powered by LLMs, Agentic AI, and GenAI capabilities.
You will be instrumental in shaping the AI strategy, building intelligent components, and collaborating across disciplines to bring advanced AI-powered solutions to life.
Responsibilities:
- Lead research and exploration of emerging GenAI and Agentic AI technologies to inform product and platform evolution.
- Design and implement robust, scalable AI/ML solutions, leveraging LLMs, RAG pipelines, fine-tuning, and prompt engineering.
- Build and integrate AI pipelines for document intelligence, NLP, and reasoning tasks using cloud-native tools and frameworks.
- Collaborate with architects and engineers to embed AI across core platform workflows, ensuring performance, scalability, and maintainability.
- Contribute to model experimentation, validation, and deployment pipelines with strong emphasis on MLOps and GenAIOps practices.
- Mentor fellow engineers on AI engineering principles and establish coding and design standards across AI modules.
- Work with the R&D leadership to align technical initiatives with the overall product roadmap and release strategy.
Must-have Qualifications:
- 5+ years of hands-on experience in product-based tech companies, with a focus on AI/ML systems.
- Proven track record in designing and implementing GenAI-powered solutions using LLMs and transformer-based architectures.
- Deep understanding of prompt engineering, RAG (Retrieval-Augmented Generation), fine-tuning, and LLM-based workflows.
- Strong experience with Azure Cognitive Services.
- Proficiency in Python or other relevant languages (e.g., TypeScript, Go), including use of AI/ML frameworks (e.g., LangChain, Hugging Face, PyTorch).
- Familiarity with containerized environments and orchestration tools (e.g., Docker, Kubernetes).
- Comfortable working with multi-cloud environments (Azure, AWS, or GCP).
- Experience with Agile/Scrum development methodologies.
- Strong communication skills and fluency in English (spoken and written).
Preferred/Bonus Qualifications:
- Experience with building high-performance distributed systems.
- Familiarity with agentic frameworks for multi-step reasoning or workflow automation.
- Exposure to AI model governance, data compliance, and MLOps pipelines.
- Background in Computer Science or related technical degree.
Requirements
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