RIS AI Engineer Manager

Accenture in India; Bengaluru; On-site; INR 3,500,000 - 5,500,000; Full time

Job summary

Accenture in India is seeking an experienced AI/GenAI Architect to design and support AI-enabled solutions within cloud-native architectures. You will collaborate with architects and delivery teams to translate use cases into scalable, production-ready systems.

The role requires strong AI/GenAI skills, Python development, and cloud platform experience (AWS/Azure/GCP), plus a solid background in APIs, microservices, and modern engineering practices.

Qualifications

• Experience with AI/GenAI, LLMs, RAG, and agents.
• Proficiency in Python development.
• Strong experience with cloud platforms (AWS/Azure/GCP).
• Experience building and consuming APIs and microservices.
• Solid engineering practices and delivery mindset.

Responsibilities

• Support design and implementation of AI/GenAI-enabled solutions.
• Develop and integrate AI components such as LLM-based services and RAG pipelines.
• Collaborate with architects to align AI with enterprise architecture.
• Participate in solutioning activities for AI-led opportunities.
• Ensure scalability, reliability, and security of AI solutions.
• Contribute to reusable assets and accelerators.

Skills

AI/GenAI

Python

Cloud platforms

APIs and microservices

Education

Bachelor’s degree in Computer Science or Engineering

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:

• 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 fast-paced environments

Continuous learning orientation.

Educational Qualifications:

Bachelor’s degree in Computer Science, Engineering, or related field.