Enterprise AI Solutions Architect Azure

Anagha Techno Soft

United States

10 days ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

5 years minimum

Working hours

Regular working hours

Job source

www.dice.com

Tech stack

Artificial Intelligence Architectural Patterns Microsoft Azure Data Retention Digital Architecture Python (Programming Language) OAuth OpenID Azure Active Directory SAP (Applications) Data Streaming Systems Integration

+11 more

TypeScript Enterprise Software Applications Microsoft Power Automate Large Language Models Generative AI SAPBasis AI Platforms Enterprise Integration Virtual Agents Software Coding Domain Driven Design

Job description

We are seeking an experienced Enterprise AI Solutions Architect to help design and implement enterprise-scale AI capabilities across a global organization. This is a hands-on architecture role focused on translating enterprise AI strategy into production-ready solutions. The ideal candidate will have strong experience across Generative AI, Azure, enterprise integration, identity/security, SAP integration, and production LLM systems., * Own solution architecture for enterprise AI initiatives, integrations, and vendor proof-of-concepts.

Design integration topology, identity/authorization flows, data flows, and security patterns.
Prototype and validate architecture designs using Python or TypeScript.
Architect Azure AI foundations including landing zones, networking, identity, private connectivity, and AI services.
Design governed AI gateways and enterprise AI integration patterns.
Architect production LLM, RAG, agentic AI, and tool-use solutions.
Evaluate AI models, vendors, tools, and platforms from a technical and architectural perspective.
Design identity patterns using Microsoft Entra ID, OAuth 2.0, OIDC, service principals, and delegated authorization.
Integrate AI solutions with SAP and enterprise systems.
Establish reusable architecture patterns and reference implementations.
Partner with engineering, security, and business teams to move AI solutions from prototype to production.
Lead architecture and security reviews for enterprise AI implementations.
Document architecture decisions, solution patterns, and technical recommendations.

Requirements

10+ years of software, solution, or enterprise architecture experience.
5+ years of enterprise integration experience in large organizations.
Hands-on coding experience with Python or TypeScript.
Strong experience with Azure AI / Azure OpenAI and enterprise Azure architecture.
Deep knowledge of Microsoft Entra ID, OAuth 2.0, OIDC, service principals, and identity passthrough/delegation.
Experience integrating AI solutions with SAP environments.
Hands-on experience designing production LLM, RAG, agentic AI, and tool-use architectures.
Experience with Model Context Protocol (MCP) or equivalent tool-use/function-calling architectures.
Strong Azure networking knowledge including landing zones, hub-and-spoke architecture, and private endpoints.
Experience with enterprise security, governance, compliance, data retention, and data residency.
Demonstrated experience taking architecture designs into production.
Strong technical documentation and communication skills., * Experience in manufacturing, chemicals, industrial, or other regulated environments.
Experience with capability-based or domain-driven enterprise architecture.
Experience with enterprise integration/iPaaS platforms.
Azure Solutions Architect certification or equivalent.
Experience working with consulting or system-integrator-led transformation programs.
Experience with Claude, Microsoft Copilot, LangChain, Semantic Kernel, LangGraph, or similar AI technologies.