Kerala Solution architect in python Jobs – 96 Open Jobs Today

Azure AI Engineer
Adfolks —Kochi, Kerala
- Full-time
- Remote
- Azure
- Computer Science
- Bachelor's degree
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Senior Data Analyst
DeviceDriven (India) Private Limited —Technopark, Thiruvananthapuram, Kerala
- Full-time
- Computer Science
- SQL
- Bachelor's degree
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1d
Lead Developer
Guidehouse India Pvt Ltd —Technopark, Thiruvananthapuram, Kerala
- Full-time
- Azure
- Computer Science
- Java
4d
Lead I - Data Science
UST —Thiruvananthapuram, Kerala
- Azure
- Computer Science
- Databases
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2d
Data Engineer
Techversant Infotech —Kochi, Kerala
- Full-time
- Azure
- Computer Science
- DevOps
Lead Data Engineer
Crayon Data —Cannanore, Kerala
- Full-time
- Azure
- Oracle
- DevOps
Director - Data Science
Crayon Data —Cannanore, Kerala
- Full-time
- Azure
- Doctoral degree
- Master's degree
Lead Site Reliability Engineer - Specialist
Equifax —Thiruvananthapuram, Kerala
- Full-time
- Hybrid work
- Computer Science
- B.Sc
- Java
- Health insurance
- Paid time off
Senior Network Engineer
NOV Inc. —Kochi, Kerala
- Full-time
- Azure
- Computer Science
- B.Sc
2d
Senior Backend Developer
eHireo Global Solutions —Kochi, Kerala
- Full-time
- Salesforce
- DevOps
- Databases
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Senior Associate - RPA - EDS
EY —Kochi, Kerala
- Azure
- Computer Science
- DevOps
1d
Azure DevOps Lead Engineer
Adfolks —Kochi, Kerala
- Full-time
- Azure
- Computer Science
- DevOps
Quick apply
Sr. DevSecOps Engineer
2Base Technologies —Kochi, Kerala
- Full-time
- Azure
- DevOps
- Master's degree
Lead Software Engineer
Crayon Data —Cannanore, Kerala
- Full-time
- Azure
- Java
- AWS
Senior Backend Engineer – Python (AI-Powered Systems)
JK Lucent —Kerala
- Full-time
- Azure
- System design
- Master's degree
DE-ET-Deployment Engineer Manager-GDS
EY —Thiruvananthapuram, Kerala
- Azure
- Computer Science
- Java
22h
Gen AI Lead Developer - Senior Consultant
EY —Kochi, Kerala
- Azure
- Computer Science
- DevOps
Senior Technical Analyst
Maxwell GeoSystems —Kochi, Kerala
- Azure
- Databases
- SQL

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Azure AI Engineer

Adfolks
Kochi, Kerala

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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.

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solution architect in python jobs in kerala

Azure AI Engineer

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Lead Developer

Lead I - Data Science

Data Engineer

Lead Data Engineer

Director - Data Science

Lead Site Reliability Engineer - Specialist

Senior Network Engineer

Senior Backend Developer

Senior Associate - RPA - EDS

Azure DevOps Lead Engineer

Sr. DevSecOps Engineer

Lead Software Engineer

Senior Backend Engineer – Python (AI-Powered Systems)

DE-ET-Deployment Engineer Manager-GDS

Gen AI Lead Developer - Senior Consultant

Senior Technical Analyst

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