We are seeking a highly experienced Enterprise Architect to design, guide, and govern scalable software solutions across the organization - ranging from individual components to fully integrated enterprise platforms. This role requires strong expertise in AWS cloud technologies , AI infrastructure , and advanced AI governance practices , ensuring solutions align with business strategy, security standards, and responsible AI policies.
Key Responsibilities
- Design end-to-end architectures spanning microservices, APIs, domain platforms, and enterprise ecosystem
- Define architecture patterns, standards, and reusable framework
- Translate business requirements into scalable and secure technical solution
- Ensure interoperability across systems, data layers, AI services, and platform
- Develop and maintain enterprise architecture roadmap
- Align IT strategy with business goals and digital transformation initiative
- Establish governance models (TOGAF/SAFe or similar
- Lead architecture review boards and technical decision-making processes
- Architect and optimize cloud-native and hybrid solutions using AWS services
- Define cloud migration strategies and modernization approaches
- Ensure high availability, resiliency, cost optimization, and performance
- Implement Infrastructure-as-Code and automation best practices
- Design AI/ML infrastructure, pipelines, and enterprise integration patterns
- Architect solutions incorporating LLMs, generative AI, and intelligent agents
- Establish patterns for RAG, feature stores, and model deployment
- Guide adoption of AI technologies across enterprise platform
AI Governance & Observability
- Define and implement enterprise AI governance frameworks (responsible AI, compliance, risk classification
- Establish observability and monitoring for AI/ML and LLM flows (OpenTelemetry, Langfuse
- Design guardrails for agent behavior, HITL workflows, and policy-based control
- Implement AI lifecycle governance including validation, audit trails, and secure prompt management
Cross-Disciplinary Leadership
- Act as a strategic liaison across semantic, data, and ML architecture domain
- Align knowledge graphs, ontologies, data platforms, and ML system
- Mentor architects and senior engineers, ensuring cohesive enterprise integration
Mandatory Skills
- 8-12+ years in software engineering and architecture roles
- Strong knowledge of microservices, event-driven architectures, API management, and enterprise integration patterns
AWS Experience
- Compute & Containers: EC2, Lambda, ECS/E
- Networking & Integration: VPC, Route 53, API Gateway, EventBridge, SNS, S
- Data & Storage: S3, RDS, Aurora, DynamoDB, Redshift
- Observability: CloudWatch, X‑R
- Security: IAM, Cognito, KMS, Secrets Manager, Control Tower
AI/ML & Observability
- AWS AI/ML stack: SageMaker, Bedrock, Glue, Lake Formation
- LLM-based architectures and agent systems
- AI observability tools (OpenTelemetry, Langfuse, Prometheus/Grafana)
- Strong understanding of AI governance, agent orchestration, and compliance
Frameworks & Practices
- TOGAF or equivalent framework
- Cloud-native and serverless patterns
- Integration of semantic, data, and ML architecture
Nice-to-Have Skills
- AWS Certified Solutions Architect – Professional
- AWS Specialty Certifications (Machine Learning, Security)
- Experience implementing enterprise AI governance frameworks
- Background in regulated industry
- Exposure to multi‑cloud or hybrid environments
Language
No sponsor
Join us in shaping the future of enterprise architecture - where cloud innovation, AI intelligence, and responsible governance converge to drive lasting impact.
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