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Experienced Solution Architect
We are looking for an experienced Solution Architect to lead the design, governance, and evolution of scalable enterprise technology solutions across cloud, data, and AI ecosystems. This is a strategic architecture leadership role for someone who combines deep technical expertise with strong business alignment skills, helping organizations build secure, resilient, and future-ready platforms powered by AWS and modern AI technologies.
What You'll Be Doing
- Design end-to-end architectures across microservices, APIs, domain platforms, and enterprise-wide ecosystems
- Define architecture standards, governance frameworks, and reusable design patterns
- Translate business requirements into scalable, secure, and cloud-native solutions
- Develop and maintain enterprise architecture roadmaps aligned with business strategy
- Lead architecture review boards and key technical decision-making processes
- Architect and optimize AWS-based cloud-native and hybrid environments
- Drive cloud migration, modernization, automation, and Infrastructure-as-Code initiatives
- Design and integrate AI/ML platforms, GenAI solutions, LLMs, and intelligent agent architectures
- Establish enterprise AI governance, observability, monitoring, and risk management frameworks
- Define controls for AI agents, human-in-the-loop workflows, and responsible AI practices
- Collaborate across Data, ML, Semantic, Engineering, and Product teams to ensure architectural alignment
- Mentor architects and senior engineers while acting as a trusted advisor to leadership teams
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Key Skills & Experience
- Proven experience designing large-scale distributed systems
- Expertise in microservices, event-driven architectures, APIs, and enterprise integration patterns
- Strong knowledge of Domain-Driven Design (DDD) and cloud-native architectures
- Experience with TOGAF or equivalent enterprise architecture frameworks
AWS Expertise
Compute & Containers
- Amazon EC2, AWS Lambda
- Amazon ECS, EKS, Kubernetes
Networking & Integration
- VPC, Route 53, API Gateway
- App Mesh, EventBridge, SNS, SQS
Data & Storage
- S3, EBS, Glacier
- RDS, Aurora, DynamoDB, Redshift
DevOps & Automation
- CloudFormation, CDK, Terraform
- CodePipeline, CodeBuild, CodeDeploy
Observability & Security
- CloudWatch, AWS X-Ray
- IAM, Cognito, KMS, Secrets Manager
- AWS Organizations, Control Tower
AI & Generative AI
- Amazon SageMaker
- Amazon Bedrock and Foundation Models
- AWS Glue and Lake Formation
- LLM architecture design and enterprise AI integration
- Agent-based systems and orchestration
- RAG architectures, feature stores, model deployment, versioning, and scaling
- AI observability using OpenTelemetry, Langfuse, Prometheus, Grafana, or similar tools
- AI governance, compliance, data lineage, model monitoring, and responsible AI controls
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What We're Looking For
- Strategic thinker with strong hands-on technical depth
- Excellent stakeholder management and communication skills
- Experience influencing senior leadership and cross-functional teams
- Ability to bridge business, data, AI, and engineering domains
Desirable Qualifications
- AWS Certified Solutions Architect – Professional
- AWS Machine Learning or Security Specialty Certifications
- Experience implementing enterprise AI governance frameworks
- Background in regulated industries
- Experience within multi-cloud or hybrid cloud environments
- Exposure to semantic architecture, knowledge graphs, and ML platform integration
If you're passionate about enterprise architecture, AWS cloud transformation, AI innovation, and governance at scale, we'd love to hear from you.
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