Enterprise AI Cloud Architect - Bangalore/Noida/ Gurugram

Key Responsibilities:

• Design and implement enterprise-scale AI cloud architectures on AWS for GenAI, ML, and AI-enabled applications.
• Define and standardize AI environment setup and lifecycle architecture across Sandbox, PoC/Dev, Pilot, and Production environments.
• Architect secure multi-account AWS environments using AWS Organizations, Control Tower, IAM Identity Center, and centralized governance frameworks.
• Define enterprise AI SDLC standards including environment promotion workflows, approval gates, deployment standards, auditability, and operational controls.
• Design scalable and secure AI platform patterns leveraging AWS services such as Bedrock, ECS/EKS, Lambda, S3, API Gateway, EventBridge, CloudWatch, and related AI ecosystem services.
• Establish AI governance guardrails including identity and access management, data classification controls, encryption standards, audit logging, secrets management, and compliance enforcement.
• Design reusable architecture blueprints and reference implementations for AI/GenAI application onboarding.
• Define high availability, fault-tolerant, scalable, and cost-optimized cloud architectures for AI workloads.
• Collaborate with engineering teams, business stakeholders, security teams, and platform teams to align AI platform capabilities with enterprise requirements.
• Lead Infrastructure as Code (IaC) and platform automation strategies using Terraform and cloud-native automation tooling.
• Define observability, monitoring, logging, and operational support standards for AI workloads and platform services.
• Establish AI cost governance, tagging strategies, usage monitoring, and optimization frameworks.
• Evaluate and integrate emerging GenAI technologies, LLM frameworks, vector databases, and AI platform capabilities into enterprise architecture standards.
• Provide technical leadership, mentoring, and architectural guidance to DevOps, platform engineering, and AI engineering teams.

Required Skills & Experience:

• 8+ years of overall IT experience with strong focus on cloud architecture and enterprise platform engineering.
• 5+ years of hands-on experience architecting solutions on AWS cloud platforms.
• Strong expertise in AWS services including:

Compute & Containers

• EC2
• Lambda
• ECS/EKS
• Auto Scaling

Storage & Data Services

• S3
• EBS
• RDS
• DynamoDB
• Redshift

Networking & Security

• VPC design
• Transit Gateway
• Security Groups
• NACLs
• PrivateLink/VPC Endpoints
• IAM
• KMS
• Secrets Manager
• AWS Organizations
• Control Tower

Monitoring & Operations

• CloudWatch
• CloudTrail
• Config
• GuardDuty
• Security Hub
• EventBridge
• SNS/SQS
• Managed Grafana
• Strong understanding of enterprise AI/GenAI platform architectures and operationalization patterns.
• Experience designing secure multi-account cloud environments and enterprise landing zones.
• Hands-on experience with Infrastructure as Code (Terraform preferred).
• Strong understanding of DevSecOps and CI/CD implementation patterns.
• Experience with containerization and orchestration technologies such as Docker and Kubernetes.
• Experience implementing governance, auditability, and compliance controls in cloud-native environments.
• Strong knowledge of API architecture, integration patterns, and distributed systems.
• Experience working with Databricks and modern AI data platforms is preferred.
• Strong stakeholder communication, architecture governance, and technical leadership capabilities.

Preferred Qualifications:

• Experience building or supporting enterprise AI/GenAI platforms.
• Exposure to AWS Bedrock, SageMaker, vector databases, RAG architectures, or LLMOps frameworks.
• Experience implementing AI governance and Responsible AI controls.
• Familiarity with MLflow, Kubeflow, LangChain, or similar AI orchestration frameworks.
• Experience with policy-as-code and cloud governance automation.
• AWS Certifications such as:
• AWS Certified Solutions Architect – Professional
• AWS Security Specialty
• AWS DevOps Engineer Professional
• Experience in regulated enterprise environments with strong compliance and audit requirements.
• Experience with hybrid cloud or multi-cloud architectures is a plus.