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EXL

Solution Architect – Data & AI Solutions

EXL

Solution Architect specializing in designing scalable data and AI platforms for presales. Engaging with clients and technical teams to deliver impactful demonstrations and solutions.

Posted 7/14/2026full-time🇮🇳 IndiaSeniorLeadWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates extensive expertise in architecting distributed, scalable data and AI platforms, with a strong focus on compliance, observability, and collaboration across cross-functional teams. Proven ability to present complex architectures and act as a trusted advisor in client engagements.

Highest-signal resume keywords
Software ArchitecturePresales EngineeringHyperscaler Platforms (Azure, AWS, GCP)Data GovernanceObservability Stacks (Prometheus, Grafana, OpenTelemetry, ELK)

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Distributed Systems ArchitectureMicroservicesAI/ML Platform DesignEvent-Driven SystemsAsynchronous WorkflowsAdvanced Programming (Python, TypeScript, JavaScript, Go)CI/CD AutomationGitOpsTerraformHelm
Soft Skills
Clear CommunicationClient EngagementCollaboration
Tools & Technologies
KubernetesService Mesh (Istio)Serverless Design Patterns
Industry Keywords
Data & AI SolutionsRFP/RFI ResponsesSolution ProposalsZero-Trust Security ModelsObservability Standards

Tech Stack

Tools & technologies
AWSAzureDistributed SystemsGoGoogle Cloud PlatformGrafanaJavaScriptKubernetesMicroservicesPrometheusPythonTerraformTypeScript

About the role

Key responsibilities & impact
  • 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

Requirements

What you’ll need
  • 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

Benefits

Comp & perks
  • Cloud (AWS, Azure, GCP) certifications preferred
  • Health insurance
  • Retirement plans
  • Paid time off
  • Flexible work arrangements
  • Professional development opportunities