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.

Cross-Functional Collaboration

- Work with Product, Data Science, Engineering, and Governance teams to align demos with business/regulatory needs.

- Collaborate with IMUs (verticals) to build domain-specific demo templates (e.g., Insurance claims, Healthcare payment integrity, Banking KYC/fraud, Retail personalization).

- Provide hands-on support to engineering teams during delivery, troubleshooting, and performance tuning.

Innovation &
- Technical Leadership

- Stay ahead of hyperscaler advancements, AI/ML frameworks,



and orchestration patterns.

- Drive technical due diligence, PoCs, and vendor/platform evaluations.

- Create technical artifacts (architecture diagrams, design patterns, runbooks).

- Mentor presales engineers and junior architects in solution design and client presentation skills.

Qualifications

- Bachelor's or Master's degree in Computer Science, Engineering, or related field.

- Certifications preferred
- Cloud (AWS, Azure, GCP).

- Kubernetes / CNCF ecosystem.

- Architecture frameworks (TOGAF, SAFe).

Skills &

- Experience

Must-Have Skills &

Experience

- 15 years in software architecture, presales engineering, or enterprise data/AI platform design.

- Hands-on expertise in at least two hyperscaler platforms:
- Azure (Fabric, Synapse, Data Factory, Azure ML, Power BI).

- AWS (Redshift, Glue, S3, SageMaker, Lake Formation).

- GCP (BigQuery, Dataplex, Vertex AI, Pub/Sub).

- 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.

- Solid presentation, storytelling, and client engagement skills.

Preferred Skills

- Experience with multi-tenant SaaS platforms and usage-based billing.

- Familiarity with data mesh, knowledge graphs, and semantic interoperability.

- Knowledge of frontend architecture patterns (micro-frontends, data visualizations).

- Experience building presales demo or sandbox environments.

Exposure to agentic AI concepts and LLM-based orchestration.

📌 Solution Architect Data & AI Solutions (Secunderabad)
🏢 EXL
📍 Secunderabad