Role Summary:
Responsible for defining and advancing a cloud-agnostic, AI-enabled architecture strategy that supports enterprise analytics, automation, and operational decision-making across multi-cloud environments. This role leads architecture standards and governance across AWS and Google Cloud Platform while actively delivering hands-on prototypes, data pipelines, and AI integrations to accelerate adoption.
Operating as a shared services architecture function, this role both guides and demonstrates best practices—bridging strategy and execution to ensure scalable, cost-efficient, and production-ready solutions aligned with ServiceNow CMDB/APM and Apptio models.
Core Role Identity
Dimension Expectation
· Architecture Defines standards, patterns, governance
· Delivery Builds POCs, pipelines, and AI integrations
· Model Shared service / enterprise enablement
· Authority Influences + demonstrates (not just advises)
· Cloud Multi-cloud, cloud-agnostic mindset
Key Responsibilities
1. Multi-Cloud Architecture & Governance
Define and implement cloud-agnostic architecture patterns across AWS and Google Cloud Platform
Standardize Google Cloud Platform governance aligned to AWS controls
Establish reusable reference architectures for data, AI, and infrastructure
Promote abstraction via:
· Containers (Kubernetes)
· APIs
· Infrastructure as Code (Terraform)
2. Hands-On Enablement (POCs & Pipeline Delivery)
· Build proof-of-concept solutions to validate architecture patterns
· Develop and optimize data pipelines and integrations across systems (ServiceNow, Apptio, Jira)
· Implement AI-enabled workflows (model integration, automation)
· Provide hands-on support to delivery teams to accelerate adoption
· Translate architecture into working, scalable solutions
3. AI Integration & MLOps Enablement
· Design and implement AI-ready pipelines (structured + unstructured data) Support:
· Model integration into enterprise workflows
· MLOps lifecycle enablement (CI/CD, monitoring, governance)
· AI tool/vendor evaluation
· Mature organization from:
· POCs → Embedded AI → Governed enterprise AI
4. Data Architecture & Integration (CMDB/APM-Aligned)
· Architect data flows integrating:
· ServiceNow (CMDB/APM)
· Apptio (cost transparency)
· Jira (delivery data)
· Address key challenges:
· Data latency
· Data duplication
· Cost visibility gaps
· Enforce system-of-record and data ownership principles
5. Governance & FinOps (Advisory + Enablement)
· Define standards for:
· Cloud cost optimization (FinOps)
· AI governance and lifecycle management
· Data quality and pipeline SLAs
· Support KPI transparency:
· Cloud cost per application
· Data pipeline reliability
· AI ROI
· Guide teams while enabling them through working solutions
6. Platform Strategy & Shared Services Leadership
· Act as a central architecture leader and enabler
· Support teams through:
· Architecture reviews
· POC delivery
· Design guidance
· Build reusable enterprise assets:
· Patterns
· Templates
· Integration frameworks
Required Experience:
· 7+ years in cloud architecture, data engineering, or infrastructure
· Proven experience in multi-cloud environments (AWS + Google Cloud Platform)
Demonstrated ability to:
· Design architecture and deliver working solutions
· Build data pipelines and integrations
Strong experience with:
· Python, SQL
· ETL/ELT pipelines
· Infrastructure as Code (Terraform preferred)
· Containers (Kubernetes)
· AI & Modern Architecture Requirements
Hands-on experience with:
· AI/ML integration into enterprise pipelines
· MLOps or AI lifecycle tooling
· Experience evaluating and implementing:
· AI platforms
· Automation tooling
Preferred Experience
· ServiceNow CMDB/APM integration
· Apptio (cost allocation / FinOps)
· Experience solving:
· Cross-system duplication
· Data lineage challenges
· Exposure to Generative AI integration
Success Metrics (Aligned to Your KPIs)
· Reduction in cloud cost per application
· Improvement in pipeline SLAs
· Reduction in duplicate data/integrations
· Increase in production AI-enabled workflows
· Adoption of multi-cloud architecture standards
· Number of successful POCs transitioned to production
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