Solution Architect – Data & AI Solutions

Job description

**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 v