Ka Presales engineer Jobs – 94 Open Jobs Today

Solution Architect – Data & AI Solutions
EXL Service —Bengaluru, Karnataka
- Full-time
- Azure
- Computer Science
- Master's degree
Engineer – Marketing & Sales
Eagle Photonics —Bengaluru, Karnataka
- Master's degree
- Bachelor's degree
- Business Administration
Solution Architect - Advanced Computing
Power Bridge Systems —Bengaluru, Karnataka
- Full-time
- Azure
- AWS
- Project management
- Health insurance

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Solution Architect – Data & AI Solutions

EXL Service -
Bengaluru, Karnataka

Apply Now

Job details

Full-time

Qualifications

CI/CD
Power BI
SAFe
Azure
Go
Law
Computer Science
Kubernetes
Encryption
Master's degree
Microservices
RBAC
AWS
Bachelor's degree
TOGAF
JavaScript
Distributed systems
Terraform
Continuous integration
APIs
S3
Kafka
Metadata
Redshift
SaaS
AI
TypeScript
Billing
Graph databases
Python
Pre-sales
Software architecture
Identity & access management
Design patterns

Full 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).

Qualifications:

Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
Certifications preferred:
- Cloud (AWS, Azure, GCP).
- Kubernetes / CNCF ecosystem.

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).

Qualifications:

Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
Certifications preferred:
- Cloud (AWS, Azure, GCP).
- Kubernetes / CNCF ecosystem.

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 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).

Qualifications:

Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
Certifications preferred:
- Cloud (AWS, Azure, GCP).
- Kubernetes / CNCF ecosystem.

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 .

Apply Now

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presales engineer jobs in ka

Solution Architect – Data & AI Solutions

Engineer – Marketing & Sales

Solution Architect - Advanced Computing

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