Solution Architect – Data & AI Solutions

Key Responsibilities:

Presales & Client Engagement

• 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.

Solution Architecture & Demo Environments

• Architect distributed, scalable, and resilient data and AI platforms for presales demonstrations.

• Design abstraction layers for multi-model AI orchestration, including fallback logic, dynamic model switching, and cost control.

• Lead implementation of event-driven architectures using messaging frameworks (Kafka, Pulsar, SQS, etc.) and state machines.

• Build reusable, industry-specific demo environments leveraging hyperscaler services and data platforms.

Observability, Security & Compliance

• Define and enforce observability standards for demo and enterprise environments (logging, tracing, telemetry, real-time alerting).

• Implement zero-trust security models (RBAC/ABAC, IAM, OAuth2, encryption, API gateways).

• Ensure all demo and client environments meet compliance standards such as HIPAA, GDPR, SOC2.