RIS AI Engineer Manager

Accenture; Bengaluru; On-site; INR 1,500,000 - 2,500,000; Full time

Job summary

Accenture is looking for professionals with over 12 years of experience to design and implement AI-driven solutions within cloud-native architectures. You will work with architects and delivery teams to translate AI use cases into scalable systems leveraging GenAI, ML, and engineering practices.

The ideal candidate should have a Bachelor's degree in Computer Science, strong problem-solving skills, and the ability to thrive in fast-paced environments, contributing to the success of AI-led opportunities.

Qualifications

• 12+ years of experience in relevant roles.
• Strong problem-solving mindset.
• Ability to work in fast-paced environments with good communication skills.

Responsibilities

• Support design and implementation of AI/GenAI-enabled solutions.
• Develop and integrate AI components such as LLM-based services.
• Collaborate with architects to align AI solutions with enterprise architecture.

Skills

AI/ML & GenAI (LLMs, RAG, Agents)

Python-based development

Cloud platforms (AWS / Azure / GCP)

APIs and microservices

Education

Bachelor's degree in Computer Science, Engineering, or related field

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.

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.