## Job highlights
- 12+ years experience with AI/ML, GenAI (LLMs, RAG, Agents), Python development, and cloud platforms (AWS/Azure/GCP)
- Design and implement AI/GenAI solutions, develop LLM-based services and RAG pipelines, collaborate with architects, ensure scalability and security, contribute reusable assets 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 developmentCloud platforms (AWS / Azure / GCP)APIs and microservices. Good to Have

Skills:
MLOps and pipeline orchestration, Data engineering frameworks, DevOps and automation, Responsible AI practicesKey

Responsibilities:
1. Support design and implementation of AI/GenAI-enabled solutions2. Develop and integrate AI components such as LLM-based services, RAG pipelines, and agents3.



Collaborate with architects to align AI solutions with enterprise architecture4. Participate in solutioning activities for AI-led opportunities5. Ensure adherence to best practices in scalability, reliability, and security6. 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 Robust 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.
- Qualification

📌 RIS AI Engineer Manager (Bengaluru)
🏢 Accenture
📍 Bengaluru