Senior Azure Solutions Architect - Enterprise AI Applications

Arcturus Consulting Services Inc.; Polska; Hybrid; PLN 320,000 - 520,000; Full time

Job summary

Arcturus Consulting Services invites a Senior Azure Solutions Architect to define end-to-end architecture for enterprise AI applications and agent-based solutions. The role requires a hands-on architect who integrates Azure infrastructure, Container Apps, networking, Entra ID, security, APIs and MCP into a coherent production architecture.

You will lead design reviews, craft reference architectures, and collaborate with Security, DevOps and Engineering to ensure resilient, scalable solutions.

Qualifications

• 9-10+ years of technology experience with Azure solution-architecture.
• Experience designing Azure solutions delivered to production.
• Strong experience with Azure Container Apps, storage, databases and monitoring.
• Deep knowledge of Azure networking (VNets, subnets, private endpoints, DNS).
• Expertise with Entra ID, OAuth 2.0, OpenID Connect, RBAC and app registrations.

Responsibilities

• Define end-to-end architecture for enterprise AI applications and agent-based solutions.
• Design Azure infrastructure and hosting using Container Apps and supporting services.
• Architect secure networking and identity across cloud resources.
• Lead architecture decisions, reviews and trade-offs with engineering teams.
• Produce reference architectures, standards and reusable patterns.

Skills

Azure architecture

Azure container Apps

Entra ID

RBAC

OAuth flows

API integration

MCP tooling

Python/.NET

REST API design

Security and compliance

Tools

Terraform

Bicep

Azure DevOps

Job description

Arcturus Consulting Services | Full time

Senior Azure Solutions Architect - Enterprise AI Applications

JOB DESCRIPTION

We are seeking a Senior Azure Solutions Architect to define end-to-end architecture for enterprise AI applications and agent-based solutions. This role requires a hands‑on architect who can connect Azure infrastructure, Container Apps, networking, Entra ID, security, APIs, MCP and AI services into a coherent production architecture.

Key Responsibilities:

• Define end-to-end architecture for enterprise AI applications and agent-based solutions.
• Design Azure infrastructure and application-hosting architecture using Azure Container Apps and supporting services.
• Define secure networking using VNets, subnets, peering, private endpoints, private DNS and controlled ingress and egress.
• Architect Entra ID authentication, app registrations, managed identities, OAuth flows, RBAC and service-to-service security.
• Design reusable MCP architecture, including tools, actions, schemas, access boundaries, observability and error handling.
• Architect secure API integrations with Oracle HCM, ServiceNow, Microsoft 365 and other enterprise platforms.
• Design Generative AI and agentic solutions using Azure AI services.
• Define controls for security, privacy, Responsible AI, monitoring, auditability, retention and resilience.
• Produce reference architectures, architecture standards and reusable design patterns.
• Lead options analysis and document technical decisions, risks and trade-offs.
• Create architecture diagrams, data flows, security designs and component inventories.
• Lead solutions through TADR, ARB and security-review processes.
• Review implementation designs and resolve technical blockers with Engineering, Infrastructure, DevOps and Security teams.
• Work in 3pm to 12am IST shift.

REQUIREMENTS

Mandatory Skills & Experience:

• 9-10+ years of technology experience, including strong Azure solution-architecture experience.
• Demonstrable experience designing Azure solutions delivered to production.
• Strong experience with Azure Container Apps, Azure Storage, Azure SQL or PostgreSQL, Key Vault, Azure Monitor and Application Insights.
• Strong knowledge of Azure networking, including VNets, subnets, peering, private endpoints, private DNS and NSGs.
• Deep understanding of Microsoft Entra ID, OAuth 2.0, OpenID Connect, app registrations, managed identities and RBAC.
• Strong REST API, integration and API-orchestration experience.
• Strong understanding of Model Context Protocol, including MCP tools, schemas, authentication and authorization.
• Experience designing Generative AI or agentic solutions using Azure OpenAI or Azure AI Foundry.
• Experience with Infrastructure as Code using Bicep or Terraform.
• Knowledge of Azure DevOps, CI/CD, containerisation and environment architecture.
• Experience producing and presenting architecture through formal design-review processes.
• Sufficient Python/FastAPI or .NET knowledge to prototype, review and troubleshoot services.
• Ability to communicate architecture decisions and trade-offs to technical and non-technical stakeholders.

Desirable Skills:

• Oracle Fusion HCM REST API, extract or Oracle Integration Cloud experience.
• Experience designing MCP-based integrations with Oracle HCM or other SaaS platforms.
• ServiceNow and Microsoft Graph integration experience.
• Exposure to Copilot Studio and Power Platform architecture.
• Experience with Azure AI Search, RAG, vector stores and document-processing solutions.
• Experience designing solutions that process sensitive employee or HR data.
• Experience with third-party AI-agent platforms such as Lyzr Studio.
• Familiarity with Responsible AI and enterprise AI-governance frameworks.
• Certifications such as AZ-305, AI-102, AZ-500, SC-100, PL-600 or TOGAF.