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Senior, niche AI architect reduces applicant pool despite Bangalore metro location.
ML/AI and Java skills are broadly transferable across industries, though healthcare/regulatory experience is preferred.
Explicit 16+ years, 5+ years architect experience, and mandatory Java plus ML/GenAI stack create strict filters.
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Lead AI implementation by designing and building AI proofs of concept and driving them to production-ready patterns within a Java-based tech stack.
Establish AI reference architectures, reusable components, and coding standards to accelerate AI adoption across multiple engineering teams.
Partner with engineering leaders and enterprise AI leadership to align AI strategy, evangelize AI adoption, and coach stakeholders organization-wide.
Bachelor's or Master's degree in Computer Science, Engineering, or related field.
16+ years of software engineering experience with at least 5 years in architect or technical leadership roles.
Strong hands-on Java expertise (Spring Boot, microservices, REST APIs) with proven production system delivery.
Hands-on experience building AI/GenAI proofs of concept and using AI tools such as LLM APIs, prompt engineering, RAG pipelines, vector databases, and AI coding assistants.
On-site role at IDC Bangalore.
Senior-level engineer with proven experience architecting and operationalizing AI/GenAI solutions in production environments.
Strategic and hands-on leader able to bridge AI technical implementation with organizational adoption and governance.
Experienced working in multi-team, cross-functional engineering organizations with strong influencing and communication skills to align diverse stakeholders.