Ernakulam, Kerala Azure ai engineer Jobs – 74 Open Jobs Today

Azure AI Engineer
Adfolks —Kochi, Kerala
- Full-time
- Remote
- Azure
- Computer Science
- Bachelor's degree
Quick apply
AI Engineer
Prevalent AI —Kakkanad, Kochi, Kerala
- Full-time
- Azure
- Master's degree
- AWS
CFCO - 1422 - AI Automation Engineer
Softobiz Technologies —Kochi, Kerala
- Full-time
- Microsoft Excel
- Azure
- Master's degree
AI/ML Engineer
Analytix Corporate Solutions Pvt Ltd —Kochi, Kerala
- ₹40,000 - ₹55,000 a month
- Full-time
- Azure
- Computer Science
- Master's degree
Quick apply
8d
Generative AI (GenAI) Engineer
Tata Consultancy Services —Kochi, Kerala
- Azure
- Master's degree
- Bachelor's degree
AI Testing Engineer (Generative AI) – Cochin
Mfluid Mobile Apps Pvt Ltd —Tripunittura, Kerala
- Full-time
- Azure
- AWS
- APIs
- Life insurance
- Paid sick time
Quick apply
5d
GenAI Engineer - 100% Remote
VGreen Technology Solutions (VGreenTEK) —Kochi, Kerala
- ₹20,00,000 - ₹23,00,000 an hour
- Full-time
- Remote
- Azure
- Databases
- AWS
Quick apply
4d
Specialist I - Data Science - AI
UST —Kochi, Kerala
- Azure
- Master's degree
- AWS
Quick apply
3d
Operations Engineer
EY —Kochi, Kerala
- Azure
- Windows
4d
AI Engineer (2 -3 years)
NewAgeSys Solutions —Kakkanad, Kochi, Kerala
- Azure
- Computer Science
- Research
IAM Engineer
Prevalent AI —Kakkanad, Kochi, Kerala
- Full-time
- Microsoft Access
- Azure
- APIs
Senior AI Engineer – Agentic AI_Remote
VGreen Technology Solutions (VGreenTEK) —Kochi, Kerala
- ₹1,00,000 - ₹1,20,000 a month
- Remote
- Azure
- Computer Science
- System design
Quick apply
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
Engineer
Tata Consultancy Services —Kochi, Kerala
- Azure
- AWS
- Bachelor's degree
Senior AI/ML Engineer - AI Center of Excellence (CoE)
VGreen Technology Solutions (VGreenTEK) —Kochi, Kerala
- ₹25,00,000 - ₹30,00,000 an hour
- Azure
- Master's degree
- AWS
Quick apply
Python AI + React Full Stack Engineer
InApp —Kochi, Kerala
- Azure
- DevOps
- System design
7d
SB-1439-AI Engineer
Softobiz Technologies —Kochi, Kerala
- Full-time
- Azure
- Computer Science
- Master's degree
11d
Data Engineer
Prevalent AI —Kakkanad, Kochi, Kerala
- Full-time
- Azure
- Computer Science
- Master's degree
11d
Senior AI Engineer
Inforizon —Ernakulam District, Kerala
- Remote
- Azure
- Master's degree
- SQL
- Flexible schedule
5d
Lead Engineer-AI Projects (.NET Core & SQL Server)
NeST Digital —Kochi, Kerala
- Full-time
- Azure
- DevOps
- Software development

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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

Refine Your Search

azure ai engineer jobs in ernakulam, kerala

Azure AI Engineer

AI Engineer

CFCO - 1422 - AI Automation Engineer

AI/ML Engineer

Generative AI (GenAI) Engineer

AI Testing Engineer (Generative AI) – Cochin

GenAI Engineer - 100% Remote

Specialist I - Data Science - AI

Operations Engineer

AI Engineer (2 -3 years)

IAM Engineer

Senior AI Engineer – Agentic AI_Remote

AI/ML Engineer

Engineer

Senior AI/ML Engineer - AI Center of Excellence (CoE)

Python AI + React Full Stack Engineer

SB-1439-AI Engineer

Data Engineer

Senior AI Engineer

Lead Engineer-AI Projects (.NET Core & SQL Server)

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