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

Strong problem-solving mindset

Good communication and collaboration skills

Ability to work in quick-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