Principal Cloud & AI Governance Architect
Resume:
SUMMARY EXPERTISE:
Abhijit Shrivastava Azure Architect - Microsoft® Certified Solutions Associate: Cloud Platform Azure Architect / DevOps & Migration Specialist
• Delivered enterprise Azure solutions across DevOps transformation, data platform architecture, and large- scale cloud migrations
• Modernized CI/CD pipelines using Jenkins, Docker, HELM, and Azure DevOps
• Designed and implemented data architectures using Synapse, Databricks, DataLake, ADF, and Purview-based governance
• Migrated on-prem ETL workloads and modernized legacy applications to Azure
• Automated provisioning, monitoring, and resource lifecycle management using Terraform and Azure DevOps
• Developed reference architectures, TCO models, and governance frameworks ensuring scalability, security, and high availability
CyberThink.inc (Clients: SEI Investments, CVSHealth, Alcon) - Remote – (July 2019 –Feb 2024)
• Principal Cloud & AI Governance Architect with
24+ years of enterprise technology leadership
and 10+ years of deep Azure expertise,
specializing in Cloud Governance, AI
Governance, Responsible AI, and secure
enterprise-scale Azure architecture
• I design and operationalize multi-tenant
governance frameworks, modernize legacy
environments, and lead AI adoption aligned with
Microsoft CAF, NIST AI RMF, PDPL, GDPR, and
enterprise risk controls
• Hands-on expertise across Azure Landing Zones,
DevSecOps, AKS, Synapse, Terraform, Azure
OpenAI, Azure ML, and enterprise
identity/security architectures. Proven ability to bridge architecture vision with operational
execution, enabling enterprises to adopt AI-
powered, cloud-native, and data-driven
ecosystems with strong guardrails, automation,
and measurable business value
• Currently serving as Cloud Engineering &
Governance Officer for Client: Kirkland & Ellis,
driving cloud governance, AI platform
enablement, security modernization, and cost
optimization across multiple tenants, saving
multi-million $ y-o-y with effective CAF, RAI and
RAG-based modeling
Reliable Software Resources IT / Client: Kirkland & Ellis, Chicago, IL (March 2024 – Present) Cloud & AI Governance Office – Principal Architect
• Led Cloud & AI Governance for enterprise cloud adoption, establishing policies aligned with Microsoft CAF, NIST AI RMF, PDPL, and internal risk frameworks
• Defined AI governance guardrails, including model access controls, prompt safety, data protection, & Responsible AI usage guidelines
• Acted as IT Governor, Enterprise Architect, Security Implementer, overseeing cloud, identity, networking & BCDR across multi tenants
• Integrated Wiz + Sentinel for unified cloud security, AI risk monitoring, and vulnerability governance
• Streamlined Azure service onboarding using Terraform Cloud, enabling standardized, compliant, automated provisioning
• Integrated enterprise platforms including Palantir, Veza, Mulesoft, GitHub Copilot, ensuring secure and governed adoption
• Partnered with Finance to drive cost governance, achieving significant year-over-year cloud savings
• Partnered with finance to design cost optimization strategies, achieving significant year-over-year cloud savings THOUGHT LEADERSHIP – Cloud & AI Governance
• Architect enterprise-grade Cloud & AI Governance aligned to CAF, NIST AI RMF, PDPL, GDPR, and Responsible AI
• Embed AI risk controls, transparency, fairness, accountability directly into cloud landing zones and platform engineering
• Lead C-suite strategy on AI risk posture, cloud modernization, and governance operating models
• Drive policy-as-code, automated guardrails, and continuous compliance across cloud, data, and AI workloads
• Operationalize Responsible AI through DevSecOps, MLOps, and model lifecycle governance
• Publish and evangelize best practices for secure, compliant, enterprise-scale AI platforms https://www.linkedin.com/in/abhijitshrivastava
EDUCATION:
Ø Master of Computer Application
SHIVAJI UNIVERSITY, INDIA
July 1998 – June 2001
Ø Bachelor Of Science (Computer Science)
GOA UNIVERISTY, INDIA
July 1995 – June 1998
CERTIFICATION:
https://learn.microsoft.com/en-
us/users/abhijitshrivastava-
9446/transcript/vnm80ij8y38g5po
INDUSTRIES:
Ø Legal
Ø Finance – Mortgage, Insurance, Audit,
Transaction Processing, Asset Management
Ø Healthcare
Ø Media/Advertising
Ø Education
Ø Telecom
Ø Energy
LANGUAGES:
Ø English
Ø Hindi
Ø French
DETAILED PROFILE:
Ø Profile
CORE COMPETENCIES : Azure Architect /.NET Architect (Multiple Clients/Employers) GEICO, Deloitte, AVID, CRA, Microsoft, SkillSoft, ZS Associates, Dolby Labs, Thomson Reuters, CitiCorp, Bank of America Continuum Solutions, Medline, Persistent Systems
(Prior to 2019)
• Delivered cloud-native and hybrid architectures, automated subscription buildouts, and implemented BCDR-as-a-Service.
• Led enterprise migrations for GEICO, Deloitte, AVID, CRA, including lift-and-shift, PaaS modernization, and CI/CD enablement.
• Architected and developed .NET applications for Microsoft, SkillSoft, ZS Associates, Medline, Dolby Labs, Thomson Reuters, CitiCorp, and others.
• Provided technical leadership, modernization roadmaps, performance optimization, and DevOps integration.
• Led modernization of enterprise applications, cloud migrations, and DevOps enablement.
• Architected .NET applications, microservices, and API gateway integrations.
• Designed hybrid and cloud-native architectures with strong security and performance controls
AI Governance & Responsible AI
• NIST AI RMF, Microsoft Responsible AI
• AI risk assessment & model governance
• Azure OpenAI governance, prompt safety, data
protection
• AI lifecycle governance (evaluation, drift, monitoring)
• AI privacy (PDPL, GDPR, HIPAA)
• AI access control, usage policies, audit & compliance Cloud Governance & Architecture
• Azure Landing Zones, Policy, RBAC, Blueprints
• Multi-tenant governance & risk management
• Cloud Adoption Framework (CAF)
• FinOps, cost governance, TCO modeling
• BCDR, identity, networking, security architecture AI & Data Platforms
• Azure OpenAI, Azure ML, Cognitive Services
• Synapse, Databricks, Data Factory, Fabric
• Purview governance, metadata, lineage
• Data Lakehouse, ML Ops, Power BI
DevOps, IaC &Modernization
• Azure DevOps, Terraform, ARM, Jenkins
• AKS, ACR, Docker, HELM
• CI/CD, GitHub Copilot, secure DevOps
• App modernization, microservices, API gateway
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