Live opening · Posted 11 days ago

AI Architect

Acuver Consulting · Bangalore
Instahyre 12-14 yrs
You are 11 days behind. JobBeeper subscribers saw this role while it was still new.

At a glance

The key details from the original listing.

Posted 11 days ago
CompanyAcuver Consulting
LocationBangalore
Experience12-14 yrs
SourceInstahyre
Listed11 days ago

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About the role

Description supplied by the original job listing.

The candidate will have responsibilities across the following functions:
AI and Digital Solution Architecture:
Lead architecture for AI-enabled applications, including ML, GenAI, intelligent automation, and advanced analytics integrations.
Translate business use cases into rapid prototypes and scalable reference architectures.
Define reusable starter frameworks and solution accelerators.
Partner with Data Science and AI teams to productionise models.
Establish best practices for LLM/GenAI integration and observability.
Enterprise and Cloud Architecture:
Develop and present end-to-end architectural blueprints.
Apply modern architectural patterns to design scalable systems.
Define cloud-native architectures across AWS, Azure, or GCP.
Guide teams in building API-first, event-driven platforms.
Evaluate and select appropriate technologies.
Engineering Excellence and Platform Thinking:
Establish reference architectures and reusable components.
Drive a balance between rapid experimentation and production engineering.
Mentor engineering teams on modern design patterns.
Define CI/CD strategies and DevOps practices.
Promote automation and engineering best practices.
Collaboration and Leadership:
Work closely with customers and stakeholders.
Support pre-sales and innovation initiatives.
Provide architectural governance.
Mentor architects and senior engineers.
Requirements:
Strong experience designing enterprise-grade applications on Java/J2EE or comparable platforms.
Deep knowledge of architectural and design patterns.
Experience designing cloud-native systems on AWS, Azure, or GCP.
Experience building secure distributed systems.
Strong experience with messaging platforms such as Kafka.
Experience with modern frameworks like Spring Boot.
Experience designing data architectures.
Experience defining CI/CD pipelines.
Experience with version control systems.
Experience integrating AI/ML or GenAI capabilities.
Strong understanding of APIs and real-time data pipelines.
Ability to create reference architectures.
Experience Required:
12-14 years of relevant experience in solution architecture, enterprise application design, and cloud-native engineering, with increasing responsibility in leading cross-functional technical teams.

Experience
12-14 yrs

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