*Job Description: 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** . * Strong 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** . **Responsibilities: 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** . * Strong 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** . **Qualifications: Key Responsibilities:** **Presales \& Client Engagement** * Partner with sales and indu