Hr Iam engineer Jobs – 102 Open Jobs Today

Solution Architect – Data & AI Solutions
EXL Service —Gurugram, Haryana
- Full-time
- Azure
- Computer Science
- Master's degree
AI Infrastructure Architect
Accenture —Gurugram, Haryana
- Full-time
- Computer Science
- DevOps
- Java
8d
Technical Manager (.NET)
Grazitti —Panchkula, Haryana
- Azure
- SQL
- AWS
Senior AWS Migration Engineer with Gen AI
EPAM Systems, Inc. —Gurugram, Haryana
- Master's degree
- AWS
- Computer networking
- Health insurance
- Paid time off
Lead AWS Migration Engineer with Gen AI
EPAM Systems, Inc. —Gurugram, Haryana
- Master's degree
- AWS
- APIs
- Health insurance
- Paid time off
3609782-Senior Manager
EXL Service —Gurugram, Haryana
- Full-time
- Computer Science
- SQL
- Bachelor's degree
4604091-Manager
EXL Service —Gurugram, Haryana
- Full-time
- Hybrid work
- Azure
- Computer Science
- Master's degree
AWS Application Security Architect
Ikrux —Gurugram, Haryana
- Full-time
- Java
- AWS
- Python
Associate Director, GenAI & Data Solution Architect - Global Capability Center
Alvarez & Marsal —Gurugram, Haryana
- Computer science
- Azure
- Doctoral degree
Privileged Access Platform Owner - L2
MKS Inc. —Gurugram, Haryana
- Full-time
- Azure
- Scripting
Quick apply
9d
Staff Software Engineer — DevPlatform (Java, AWS)
Duetto Research —Haryana
- Remote
- Hospitality
- System design
- Java
Quick apply
Manager - Cloud Technologies S 4D
Genpact India Pvt. Ltd. —Gurugram, Haryana
- Full-time
- Hybrid work
- Microsoft Access
- Azure
- Computer Science
Quick apply
3d
Delivery Manager - Data Engineering 4D
Genpact India Pvt. Ltd. —Gurugram, Haryana
- Full-time
- Hybrid work
- Azure
- Computer Science
- PMP
Quick apply
3d

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Solution Architect – Data & AI Solutions

EXL Service -
Gurugram, Haryana

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

Refine Your Search

iam engineer jobs in hr

Solution Architect – Data & AI Solutions

AI Infrastructure Architect

Technical Manager (.NET)

Senior AWS Migration Engineer with Gen AI

Lead AWS Migration Engineer with Gen AI

3609782-Senior Manager

4604091-Manager

AWS Application Security Architect

Associate Director, GenAI & Data Solution Architect - Global Capability Center

Privileged Access Platform Owner - L2

Staff Software Engineer — DevPlatform (Java, AWS)

Manager - Cloud Technologies S 4D

Delivery Manager - Data Engineering 4D

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