GenAI Enterprise Architect

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a GenAI Enterprise Architect in the United States.

This role is a senior strategic architecture position focused on shaping how enterprise-scale Generative AI and agentic systems are designed, governed, and deployed across the organization. You will define the target-state AI architecture and establish the standards that guide responsible, scalable adoption of AI technologies. The position sits at the intersection of enterprise architecture, AI innovation, and governance, ensuring alignment between business strategy and technical execution. You will work with cutting-edge platforms such as Azure OpenAI, Microsoft AI Foundry, and M365 Copilot to build integrated AI ecosystems. A key part of your impact will be enabling secure, compliant, and production-ready AI capabilities across the enterprise. This is a highly collaborative and influential role working with engineering, data, and security stakeholders in a fast-evolving environment.

Accountabilities

In this role, you will define and guide enterprise-wide AI architecture while ensuring scalability, governance, and responsible adoption of Generative AI technologies. You will shape how AI is embedded into business and technical ecosystems and ensure alignment with regulatory and security requirements.

Define enterprise AI architecture strategy, target-state models, and technical standards for GenAI and agentic systems
Architect AI platforms using Azure OpenAI, Azure AI Studio, Microsoft AI Foundry, M365 Copilot, and third-party LLMs
Design frameworks for agentic systems, multi-agent orchestration, and human-in-the-loop workflows
Develop and govern RAG architectures and AI-ready data ecosystems including vector databases and embeddings
Lead Copilot extensibility design including plugins, Graph connectors, and enterprise integrations
Embed Responsible AI, security, privacy, and compliance controls into all architectural patterns
Drive architecture governance processes, standards, and review boards across enterprise initiatives
Partner with engineering teams to ensure scalable, production-grade AI implementation

Requirements

The ideal candidate brings deep enterprise architecture experience combined with hands-on expertise in modern AI and cloud platforms. You are comfortable balancing strategic design with technical depth and cross-functional collaboration.

7+ years of experience in enterprise architecture, solution architecture, or AI/ML engineering roles
3+ years of hands-on experience with Azure OpenAI, Azure AI Studio, or Microsoft AI Foundry
Strong experience designing cloud-native AI architectures on Azure, AWS, or GCP
Proven track record of integrating LLM/GenAI solutions into enterprise-scale systems
Knowledge of M365 Copilot extensibility, including Graph API, plugins, and connectors
Strong understanding of Responsible AI principles, data governance, cybersecurity, and compliance frameworks
Experience with RAG pipelines, embeddings, and vector database technologies (preferred)
Familiarity with multi-model ecosystems (e.g., OpenAI, Anthropic) (preferred)
Exposure to regulated industries such as financial services or healthcare is a plus
Certifications such as TOGAF or Azure Solutions Architect are advantageous
Strong communication skills and ability to influence technical and non-technical stakeholders

Benefits

Competitive hourly compensation aligned with experience and market factors
Opportunity to lead enterprise-wide GenAI transformation initiatives
Exposure to cutting-edge AI, agentic systems, and large-scale cloud architectures
Collaborative and innovation-driven environment with global expertise
Flexible remote work arrangement
Professional growth opportunities in advanced AI and enterprise architecture domains
Competitive benefits package (varies by engagement type and eligibility)

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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Requirements

Benefits

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