RIS AI Engineer Manager

Job description

**Project Role Description:** Design and support implementation of AI-driven solutions within cloud-native architectures. Works with architects and delivery teams to translate AI use cases into scalable, production-ready systems leveraging GenAI, ML, and modern engineering practices. **Must have Skills:** AI/ML & GenAI (LLMs, RAG, Agents) Python-based development Cloud platforms (AWS / Azure / GCP) APIs and microservices. **Good to Have Skills:** MLOps and pipeline orchestration, Data engineering frameworks, DevOps and automation, Responsible AI practices **Key Responsibilities:** 1. Support design and implementation of AI/GenAI-enabled solutions 2. Develop and integrate AI components such as LLM-based services, RAG pipelines, and agents 3. Collaborate with architects to align AI solutions with enterprise architecture 4. Participate in solutioning activities for AI-led opportunities 5. Ensure adherence to best practices in scalability, reliability, and security 6. Contribute to reusable assets and accelerators. **Technical Experience:** Experience working with AI/ML frameworks and cloud AI services Understanding of microservices, APIs, and cloud-native architecture Exposure to CI/CD, containers, and modern development practices Familiarity with Agile delivery models. **Professional Attributes:** 12+ Years of experience Strong problem-solving mindset Good communication and collaboration skills Ability to work in fast-paced environments Continuous learning orientation. **Educational Qualifications:** Bachelor’s degree in Computer Science, Engineering, or related field.