Azure AI Architect

2 weeks ago

Hyderabad Pune, India Orcapod Consulting Services Full time ₹ 5,00,000 - ₹ 8,00,000 per year

Key Responsibilities

  • Architect and implement intelligent applications using Azure AI services including Azure OpenAI, Azure Cognitive

Services, and Azure Machine Learning.

  • Lead AI experimentation initiatives to evaluate models, configurations, and deployment strategies aligned with

business goals.

  • Embed AI capabilities such as NLP, computer vision, speech recognition, and decision-making into enterprise

applications.

  • Integrate AI models with internal and external systems (web, mobile, APIs) ensuring seamless interaction with

business logic.

  • Design and implement scalable, low-latency, and high-availability AI components using Azure App Services, AKS,

and serverless patterns.

  • Provision and manage Azure AI Foundry workspaces, compute environments, and model endpoints.
  • Implement secure access controls, RBAC, and data governance policies to ensure compliance and responsible AI

practices.

  • Guide development teams on MLOps best practices including model versioning, CI/CD pipelines, monitoring, and

drift detection.

  • Collaborate with business stakeholders to identify opportunities for AI-led process optimization and

transformation.

  • Contribute to internal AI strategy committees and innovation forums to shape enterprise AI adoption.
  • Document architecture patterns, reusable components, and integration blueprints for AI applications.
  • Actively participate in hands-on coding and development of AI solutions.

Required Skills

  • Azure AI & ML
  • Azure AI Foundry: Workspace provisioning, model lifecycle management
  • Azure OpenAI: Prompt engineering, model fine-tuning, endpoint management
  • Azure Cognitive Services: Vision, Speech, Language, and Decision APIs
  • Azure Machine Learning: Training, deployment, monitoring, and MLOps
  • Experience with LLM orchestration and prompt chaining
  • Familiarity with Azure AI Studio and Azure Arc
  • Proficiency in using Azure AI SDKs within custom applications
  • Hands-on experience in at least one AI/ML domain (Computer Vision, Automation, Predictive Analytics,

RPA, etc.) with relevant libraries (Pandas, TensorFlow, Scikit-learn, etc.)

  • Application Integration
  • Programming: Python, .NET, JavaScript/TypeScript
  • Integration: REST APIs, Azure Functions, Logic Apps, Event Grid
  • Architecture: Microservices, serverless, event-driven, real-time & batch inference pipelines
  • Infrastructure: Azure App Services, AKS, API Management
  • Experience with containerized AI workloads (Docker, Kubernetes)
  • Security & Governance
  • RBAC, Managed Identities, Private Endpoints
  • Data privacy, encryption, and responsible AI principles

Preferred Skills

  • Exposure to multi-cloud AI deployment strategies.
  • Knowledge of AI-driven business process automation and Agentic AI frameworks.

Regards,

Sumedha

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