Principal AI Platform Architect

Benefits

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Verification

Not verified last checked Jun 13, 2026

Salary

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401(k) match

Listed Source: EMPLR_CONTRIB_INCOME_AMT. source Last checked Jun 13, 2026.

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Weekend work

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About this role

Principal AI Platform Architect Bangalore, KA, India Bangalore, KA, India What success looks like in this role: Role Purpose Lead the design, build, and governance of enterprise-grade AI and cloud platforms Define scalable, secure, and compliant architecture across complex environments Enable AI capability at organisational level through infrastructure, standards, and strategy Key Responsibilities Lead enterprise and solution architecture across complex, multi-stakeholder environments, from greenfield platforms to legacy transformation Define and own API strategy, governance frameworks, and integration patterns at organisational level Design and deliver on-prem, cloud-native and hybrid infrastructure across AWS, Azure and GCP with focus on scalability, cost, and compliance Architect and operate AI/ML platforms including LLM pipelines, GPU infrastructure, and agentic orchestration Establish DevSecOps practices including CI/CD, Infrastructure as Code, and automated deployment pipelines Define data architecture, integration patterns, and analytics capability to support decision-making Lead vendor evaluation, procurement, and technology selection, including AI and LLM tooling Provide board-level advisory on technology strategy, digital transformation and risk Build and mentor engineering teams and uplift capability through structured practices and frameworks Own governance, security and compliance posture across regulatory and emerging AI frameworks Technical Competencies On-Prem, Cloud & Infrastructure: Dell AI Factory, AWS, Azure, GCP; Terraform; containerisation and CI/CD pipelines AI/ML & LLM Operations: GPU infrastructure, model deployment, inference optimisation, agentic workflows Security & Identity: SSO, OAuth2/OIDC, ISO27001, PCI DSS, GDPR, emerging AI regulation APIs & Integration: REST, GraphQL, enterprise API governance Data & Analytics: ETL, data warehousing, BI tooling, compliant data architecture Frameworks & Methods: SAFe, Agile, Domain-Driven

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