Kl Azure ai engineer Jobs – 110 Open Jobs Today

Azure AI Engineer
Adfolks —Kochi, Kerala
- Full-time
- Remote
- Azure
- Computer Science
- Bachelor's degree
Quick apply
AI Engineer
Solutech software Pvt Ltd —Kakkanad, Kochi, Kerala
- From ₹40,000 a month
- Full-time
- Bilingual
- Azure
- Master's degree
Quick apply
5d
AI Solution Engineer
Consilium Safety —Kochi, Kerala
- Azure
- Computer Science
- Master's degree
AI Solutions Engineer
Cubet Techno Labs —Infopark-Kochi, Kochi, Kerala
- ₹12 - ₹15 a year
- Full-time
- Azure
- Computer Science
- SQL
Quick apply
AI Engineer (2 -3 years)
NewAgeSys Solutions —Kakkanad, Kochi, Kerala
- Online application
- Azure
- Computer Science
- Research
AI Engineer
Tranetech Software Solutions —Kuthiravattom, Calicut, Kerala
- ₹4,50,000 - ₹9,00,000 a year
- Full-time
- Azure
- Master's degree
- AWS
- Health insurance
- Paid time off
Quick apply
AI/ML Engineer
Inforizon —Ernakulam District, Kerala
- Remote
- Azure
- Computer Science
- Machine learning
- Flexible schedule
10d
AI Engineer
iLeaf Solutions Pvt Ltd. —Kochi, Kerala
- ₹40,000 - ₹80,000 a month
- Full-time
- Azure
- Master's degree
- Databases
Quick apply
4d
Lead AI Engineer
Prevalent AI —Kakkanad, Kochi, Kerala
- Full-time
- Azure
- Master's degree
- AWS
13d
Forward Deployment Engineer
Kyndryl —Titanium, Thiruvananthapuram, Kerala
- Full-time
- Azure
- Computer Science
- AWS
AI Engineer
iDatalytics Technologies Private Limited —Kochi, Kerala
- Full-time
- Azure
- Java
- AWS
Quick apply
Test Automation Engineer – AI-Assisted Testing & Implementation
REIZEND PRIVATE LIMITED —Technopark, Thiruvananthapuram, Kerala
- ₹10,00,000 - ₹18,00,000 a year
- Full-time
- Hybrid work
- Azure
- Computer Science
- DevOps
Quick apply
Lead Agentic AI Engineer
Accenture —Kochi, Kerala
- Full-time
- Azure
- System design
- English
ASP.Net AI Engineer / Developer
Kott Software Pvt Ltd —Kochi, Kerala
- ₹4,00,000 - ₹8,00,000 a month
- Full-time
- Azure
- Software troubleshooting
- Analysis skills
Quick apply
3d
Senior Data & AI Platform Engineer
Times World Information Technology —Thiruvananthapuram, Kerala
- Azure
- Computer Science
- Master's degree
ML Engineer I
UST —Thiruvananthapuram, Kerala
- Azure
- Databases
- AWS
Quick apply
3d
AI/ML Engineer
Tinos Software and Security Solutions LLP —Kakkanad, Kochi, Kerala
- ₹8,000 - ₹10,000 a month
- Full-time
- Azure
- Computer Science
- SQL
Quick apply
Lead Engineer-AI Projects (.NET Core & SQL Server)
NeST Digital —Kochi, Kerala
- Full-time
- Azure
- Software troubleshooting
- DevOps
Power Platform Engineer
Consilium Safety —Kochi, Kerala
- Azure
- Computer Science
- Software troubleshooting
AI Developer
Wheel King Trans Haul Inc. —Kochi, Kerala
- ₹25,000 - ₹40,000 a month
- Full-time
- Azure
- Computer Science
- DevOps
Quick apply

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Azure AI Engineer

Adfolks
Kochi, Kerala

Quick apply

Job details

Full-time

Qualifications

BCS
CI/CD
Azure
Law
Computer Science
Software deployment
Git
RBAC
OS Kernels
Docker
Bachelor's degree
Machine learning
Terraform
Continuous integration
SDKs
Azure Certification
REST
GitHub
APIs
Data science
AI
Python
Data Science

Full job description

The Azure AI Engineer is responsible for the end-to-end implementation and deployment of enterprise AI solutions on the Azure Stack. You will take ownership of building, integrating, and operationalizing AI workloads using Azure AI Foundry, Azure Data Lake, and the broader Microsoft AI ecosystem — including the design and enforcement of guardrails for responsible, secure, and compliant AI.

This is a hands-on engineering role focused on delivery: turning architectural designs into production-ready AI services, owning the deployment lifecycle, and ensuring solutions are robust, observable, and aligned with enterprise security and governance standards

Responsibilities:

AI Solution Implementation

Solution Build: Implement AI solutions on Azure AI Foundry — including agent design, model selection, prompt flows, evaluation pipelines, and deployment of base and fine-tuned models.
Generative AI & RAG: Build retrieval-augmented generation (RAG) pipelines using Azure AI Search, Azure OpenAI, and vector stores; consume curated data from upstream data platforms.
Model Deployment: Deploy models and AI endpoints to Azure Machine Learning, Azure AI Foundry, and Azure Container Apps; manage endpoint scaling, versioning, and traffic routing.
Integration: Integrate AI services with downstream applications via REST APIs, Azure API Management, and Function Apps.

AI Guardrails & Responsible AI

Guardrails Implementation: Implement input/output guardrails using Azure AI Content Safety, Prompt Shields, and groundedness checks; configure jailbreak, PII, and harmful-content filters.
Evaluation: Build evaluation pipelines for safety, groundedness, relevance, and bias using Azure AI Foundry evaluations; embed Responsible AI checks into the deployment workflow.
Security Awareness: Work within enterprise security patterns — Managed Identity, Key Vault, private endpoints, and RBAC — for all AI services.

Deployment & MLOps

CI/CD for AI: Build and maintain CI/CD pipelines (Azure DevOps or GitHub Actions) for prompt flows, model evaluation, and endpoint deployment; implement model registry and promotion gates.
Observability: Instrument AI workloads with Azure Monitor, Application Insights, and Log Analytics; set up dashboards for token usage, latency, cost, and guardrail violations.
Infrastructure as Code: Contribute to Terraform or Bicep modules for AI Foundry, AML, and AI Search resources (working alongside platform engineering for foundational infra).

Requirements

Azure AI Stack: Hands-on experience with Azure AI Foundry, Azure OpenAI, Azure AI Search, and Azure AI Content Safety.
GenAI Engineering: Experience building RAG, agentic, or prompt-flow solutions; familiarity with frameworks such as LangChain, Semantic Kernel, or LlamaIndex.
Programming: Strong Python skills; comfortable with REST APIs, async patterns, and SDK-based integrations (Azure SDK, OpenAI SDK).
Data Awareness: Working familiarity with Azure Data Lake Storage Gen2 and Delta tables — sufficient to consume curated data for AI use cases (deep Databricks/PySpark engineering not required).
DevOps: Hands-on with Azure DevOps or GitHub Actions for CI/CD; Git-based workflows.
Infrastructure as Code: Comfortable contributing to existing Terraform or Bicep modules.
Containers & APIs: Working knowledge of Docker and Azure Container Apps for deploying AI services.
Observability: Azure Monitor, Application Insights, and Log Analytics for AI workload telemetry.
Guardrails: Practical experience implementing content safety, prompt shields, or groundedness checks in production AI systems.
Evaluation: Familiarity with offline and online evaluation methods for LLM applications (groundedness, relevance, safety).
Responsible AI Awareness: Understanding of Responsible AI principles and regional compliance considerations relevant to UAE / regulated industries.
Collaboration: Works closely with architects, data engineers, and security teams; communicates clearly across technical and non-technical audiences.
Documentation: Produces clear technical design documents and deployment runbooks.
Experience: 3–5 years of hands-on engineering experience, including at least 2 years building AI or ML solutions on Azure.
Education: Bachelor's degree in Computer Science, Engineering, Data Science, or a related field (or equivalent practical experience).
Certifications (preferred): Microsoft Certified: Azure AI Engineer Associate (AI-102).
Location: Remote, aligned to GST business hours.
Engagement: Full-time.

Quick apply

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