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Senior role with niche LLM and platform skills reduces applicant density despite Bangalore location.
Highly domain-specific AI platform, LLM, and enterprise integration expertise limits cross-industry transferability.
Explicit 12+ years requirement and deep AI platform architecture expertise make candidate filters stringent.
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Design and lead enterprise-wide AI platform architecture including LLM pipelines, RAG systems, and agentic workflows to enable scalable AI-powered products and intelligent workflows.
Drive end-to-end solution architecture from concept through implementation, including hybrid multi-cloud infrastructure (AWS, Azure, GCP), DevSecOps practices, and API strategy.
Provide senior stakeholder advisory, lead vendor and technology selection, and mentor engineering teams to ensure effective execution and alignment with governance and compliance.
12+ years of experience in software engineering, AI/ML systems, or platform architecture with strong focus on Generative AI.
Proven experience as Senior Principal or Enterprise Technical Architect in large engineering organizations delivering enterprise AI platforms.
Bachelor’s or Master’s degree in Computer Science, Engineering, AI, or related field.
Experience with cloud platforms (AWS, Azure, GCP), hybrid architectures, API design, DevSecOps (CI/CD, Infrastructure as Code), and knowledge of security/compliance frameworks.
Experienced enterprise architect skilled in defining architecture standards and long-term AI platform strategies across complex, regulated environments.
Able to balance innovation, governance, risk, and operational stability while leading cross-functional engineering and architecture teams.
Strong communicator capable of translating technical architecture into business outcomes and influencing senior engineering and executive stakeholders.