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: Support design and implementation of AI/GenAI-enabled solutions

Develop and integrate AI components such as LLM-based services, RAG pipelines, and agents

Collaborate with architects to align AI solutions with enterprise architecture

Participate in solutioning activities for AI-led opportunities





Ensure adherence to best practices in scalability, reliability, and security

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 Solid 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.

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