Partner with sales and industry teams to design client-ready demos, proof-of-concepts, and technical solution blueprints
Present complex architectures in a clear, business-outcome-driven manner to both executive and technical stakeholders
Contribute to RFP/RFI responses, solution proposals, and deal shaping
Act as a trusted advisor in client conversations, highlighting differentiators of Data & AI Solutions
Architect distributed, scalable, and resilient data and AI platforms for presales demonstrations
Define and enforce observability standards for demo and enterprise environments
Implement zero-trust security models and ensure compliance standards are met
Collaborate with Product, Data Science, Engineering, and Governance teams to align demos with business needs

15+ years in software architecture, presales engineering, or enterprise data/AI platform design
Hands-on expertise in at least two hyperscaler platforms (Azure, AWS, GCP)
Proven experience architecting distributed systems, microservices, and scalable AI/ML platforms
Strong knowledge of Data Governance, Data Quality, Metadata, Lineage, and DataOps
Expertise in event-driven systems and asynchronous workflows
Hands-on with observability stacks (Prometheus, Grafana, OpenTelemetry, ELK)
Advanced programming with Python (async), TypeScript/JavaScript, or Go
Familiarity with Kubernetes, service mesh (Istio), serverless design patterns
Experience with CI/CD automation, GitOps, Terraform, Helm

Solution Architect – Data & AI Solutions

Key skills