Principal Azure & AI Architect (Hands-On) — Player-Coach Role ? Role Snapshot (At a Glance) Parameter Details Job Title Principal Azure & AI Architect (Hands-On)

Location 100% Remote — Anywhere in India Work Mode Permanent Work From Home (WFH) Experience 11+ Years (Hands-On Mandatory) Compensation

Up to ₹27 LPA (Negotiable for Superstars) Employment Type Full-Time Reporting To CTO / VP of Engineering Team Size Lead a pod of 4–8 engineers (Player-Coach Model)

Notice Period Immediate to 30 Days Preferred? What You'll Actually Do (The 70/30 Split)

70% → Writing production code, building POCs, debugging complex systems

30% → Architecture design, mentoring engineers, stakeholder engagement

This is NOT a delegation role. You will commit code to the main branch daily. You will debug production issues. You will ship.

? Core Responsibilities (The Main Points)1️⃣ Hands-On Engineering (35%)

- Write production-grade code daily in Python, C#, .NET Core, or Go
- Build microservices, REST APIs, GraphQL, gRPC services
- Develop serverless functions (Azure Functions) & event-driven workloads
- Implement async patterns — message queues, event streams
- Refactor legacy monoliths → cloud-native microservices
- Maintain 80%+ test coverage (pytest, xUnit, NUnit)
- Debug using OpenTelemetry, Application Insights, distributed tracing

2️⃣ AI & ML Engineering (25%)
- Design RAG pipelines using Azure OpenAI, LangChain, LlamaIndex
- Build document ingestion — PDF parsing, chunking, embeddings, vector indexing
- Implement semantic search (Azure AI Search, Pinecone, Milvus, pgvector)
- Fine-tune LLMs (Llama 3, Mistral, Falcon) using LoRA, QLoRA, PEFT
- Build AI agents (Semantic Kernel, AutoGen, CrewAI)
- Deploy ML models on Azure ML — MLOps, model registry, drift monitoring
- Build ETL/ELT pipelines (Azure Data Factory, Databricks, Spark)

3️⃣ Cloud Architecture (15%)
- Design multi-tier, cloud-native architectures on Azure
- Architect HA/DR systems with multi-region failover
- Implement Zero Trust security (Entra ID, Managed Identities, Defender)
- Design multi-tenant SaaS architectures
- Create Azure Landing Zones (CAF/WAF aligned)
- Write ADRs, runbooks, architecture diagrams

4️⃣ DevOps, MLOps & Platform Engineering (10%)
- Author Terraform modules (Expert — mandatory), Bicep, ARM
- Build CI/CD pipelines (GitHub Actions, Azure DevOps, ArgoCD)
- Deploy & scale on AKS — service mesh, HPA/VPA, ingress controllers
- Implement observability — OpenTelemetry, Grafana, Prometheus, SLIs/SLOs




- Lead incident response & post-mortems

5️⃣ Security & Compliance (5%)
- Implement Zero Trust across identity, network, data, app layers
- Manage secrets via Azure Key Vault & Managed Identities
- Ensure encryption at rest & in transit (TLS 1.2+, AES-256)
- Compliance: HIPAA, SOC2, GDPR, ISO 27001, RBI

6️⃣ Leadership & Mentorship (10%)
- Lead a pod of 4–8 engineers — you code alongside them
- Conduct 1:1s, code reviews, architecture reviews
- Define technical roadmaps with Product Managers
- Mentor junior/mid-level engineers on Azure & AI
- Engage C-level executives on technical strategy
- Participate in hiring & onboarding

7️⃣ Project Delivery (Cross-Cutting)
- Own end-to-end delivery — requirements → production
- Break down epics, estimate effort, sprint planning
- Ensure on-time delivery without compromising quality
- Collaborate with QA, DevOps, Product, Design

?️ Mandatory Tech Stack (Hands-On Required — 80%+) Category Must-Have Technologies Languages Python (Advanced — mandatory), C#/.NET Core (Advanced), Go, Java, SQL Azure Compute AKS, Azure Functions, App Services, Container Apps Azure Networking Virtual WAN, Hub-and-Spoke, Private Link, ExpressRoute, Front Door Identity & Security Entra ID, Managed Identities, Key Vault, Defender for Cloud, RBAC, PIM Data & Storage Azure SQL, Cosmos DB, ADLS Gen2, Blob Storage, Microsoft Fabric, Redis Integration Logic Apps, Service Bus, Event Grid, Event Hubs, API Management LLM Frameworks LangChain, LlamaIndex, Semantic Kernel, AutoGen, CrewAI AI Concepts RAG, Vector DBs, Prompt Engineering, Fine-Tuning (LoRA/QLoRA/PEFT), AI Agents ML Libraries PyTorch, TensorFlow, scikit-learn, XGBoost, Hugging Face Data Engineering Apache Spark, Databricks, Kafka, Data Factory, Delta Lake, Iceberg IaC Terraform (Expert — mandatory), Bicep, ARM, Pulumi CI/CD GitHub Actions, Azure DevOps, Jenkins, ArgoCD, Flux Containers Docker, Kubernetes, Helm, Istio, Linkerd Testing pytest, xUnit, NUnit, Jest, Selenium, Playwright, Locust? KPIs That Define Success Area KPI Code Quality 80%+ test coverage, zero critical SonarQube issues Delivery 95% on-time sprint delivery,



zero P0 production incidents AI Impact 2+ GenAI features shipped to production per quarter Cost Optimization 20–30% reduction in Azure spend Mentorship 2+ engineers promoted or certified per year Documentation 100% of major decisions documented via ADRs Reliability 99.9% uptime for critical services✅ What We're Looking For

- 11+ years in software engineering, 4+ years in Azure architecture
- Actively coding in the last 12 months — we will test your code
- Native-level English — lead calls with US/UK clients confidently
- Self-driven — identify problems and solve them without tickets
- Explain complex AI/cloud concepts to C-level executives
- B.E./B.Tech/M.Tech/MCA in CS or equivalent experience

Soft Skills That Matter
- Ownership Mindset — treat the product like your own startup
- Bias for Action — ship quick, iterate faster
- Mentorship — lift the team up, don't gatekeep
- Adaptability — technology-agnostic problem solver
- Documentation — ADRs, runbooks, READMEs are second nature
- Collaboration — work well with Product, Design, QA, DevOps

? What You'll Work On (Indicative Projects)
- GenAI Chatbots & Copilots — Enterprise RAG on Azure OpenAI
- Data Modernization — Legacy ETL → Databricks + Microsoft Fabric
- Cloud Migration — On-prem → AKS
- Platform Engineering — Internal Developer Platforms (IDPs) on Azure
- MLOps Pipelines — Automated training, deployment, monitoring
- FinOps — Reduce cloud spend by 30%+
- Multi-Tenant SaaS — Scalable platforms on Azure
- AI Agents — Autonomous workflow automation

? Why This Role?
- 100% Remote — work from anywhere in India
- Player-Coach Model — lead AND code, not just manage
- Cutting-Edge AI — GenAI, LLMs, RAG, AI Agents
- Elite Bench — building a team of superstars for strategic initiatives
- Negotiable Pay — up to ₹27 LPA for the right person

Ready to build the future of Azure + AI? If you live and breathe Azure and AI — we want to talk. Regardless of your current salary or pedigree. #Azure #AI #GenAI #LLM #RAG #RemoteJob #PrincipalArchitect #PlayerCoach #Hiring #IndiaJobs

Skills: client fulfillment,java,python,hippa,azure key vault,azure privileged identity management (pim),devops,azure defender for cloud,cloud,ml,azure private link,entra id,azure virtual wan,azure functions,azure hub-and-spoke,go,azure role-based access control (rbac),azure sql,sql,azure app services,azure container apps,code,engineers,azure expressroute,c#,azure front door,azure kubernetes service (aks)

📌 Principal Azure & AI Architect (Hands-On) (India)
🏢 Logic Hire Solutions
📍 India