AI Azure Architect Role | Immediate Start | Hybrid (Dharwad)

About the Company Bandhan Technologies is a technology-driven organization focused on building scalable digital and enterprise solutions across cloud, AI/ML, data engineering, and platform modernization initiatives. The company works on modern technology stacks and helps enterprises drive digital transformation through automation, AI-powered systems, and cloud-native architectures. About the Role Design, build, lead, and deliver production-grade AI solutions on Azure. Own execution excellence with measurable business value, technical depth, governance, and reliability. Ship production-grade AI/GenAI solutions with explicit ROI, reliability (SLOs), and security. Establish engineering standards, CI/CD pipelines, observability, and repeatable delivery patterns. Build a reusable AI platform that enables AI applications across multiple domains (paved paths, templates, guardrails). Mentor engineers via reviews, playbooks, and hands-on guidance. Responsibilities
- Translate business problems into well-posed technical specifications and architectures.
- Lead design reviews, prototype quickly, and harden solutions for scale (high QPS / 1M+ users).
- Build automated pipelines (CI/CD) and model/data governance across environments (dev/test/prod).
- Define and track KPIs: accuracy, latency, cost, adoption, and compliance readiness.
- Partner with Product, Security, Compliance, and Ops to land safe-by-default systems.
- Implement Azure OpenAI solutions (prompting, evals, fine-tuning where applicable, safety filters).
- Build RAG architectures using Azure AI Search (vector) + curated data sources (SharePoint, SQL, Blob/ADLS, APIs).
- Design agentic workflows (tool use, multi-step orchestration, human-in-the-loop) using combinations of: Azure Functions / Durable Functions, Logic Apps, Event Grid, Service Bus.
- Implement observability for agent workflows (traces, latency breakdown, failure modes, cost per run). Qualifications
- Bachelor’s/Master’s or equivalent practical experience.
- Proven track record of shipping and operating systems in production.
- Must have strong platform engineering experience. Required Skills
- Azure Kubernetes Service (AKS), Docker, Helm; Azure Container Registry (ACR).
- API Management, ingress patterns, autoscaling, secure networking (VNet, Private Link).
- Azure Machine Learning (pipelines, registries, endpoints), MLflow (tracking/registry).
- CI/CD with Azure DevOps or GitHub Actions, environment promotion, canary/champion-challenger patterns.
- Azure ML managed online endpoints and/or AKS-based inference.
- FastAPI/gRPC-based services; performance tuning for low-latency inference.
- ADLS Gen2, Azure Data Factory, Synapse/Databricks (as applicable).
- Feature store approach (Feast/managed equivalents), batch vs streaming (Event Hubs/Stream Analytics).
- Azure Monitor, Application Insights, Log Analytics; Prometheus/Grafana where needed.
- Microsoft Entra ID (Azure AD), RBAC, Managed Identities, Key Vault.
- Strong applied coding in Python (plus scripting/automation).
- Git, branching standards, PR reviews, trunk-based delivery.
- IaC: Bicep / Terraform (preferred), policy-as-code, reusable modules.
- Must have designed and built at least 3 Agentic AI solutions on Azure (end-to-end, production-grade).
- Define SLAs/SLOs for accuracy, tail latency, throughput, availability.
- Capacity planning, autoscaling, load tests, caching, graceful degradation.
- Cost controls: instance sizing, reserved/spot strategies, storage tiering. Apply on Kit Job: kitjob.in/job/4n713q