Solution Architect
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 1d ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 45d ago
The date the source published, not the day we noticed it (2026-09-18). Last seen at its source 9h ago.
We have tracked this listing since 18 Oct 2026 (15 days). The employer's own board has carried it every time we have read it, most recently 9 hours ago.
Is it remote?
Remote
That is the location the employer filed this posting under. Quoted as written — we do not re-word the source's own location.
Who may apply?
Not stated
The description states no restriction of its own. This is the source's own tag.
Pay
$75–85/hr
Taken from the listing's structured data, as the employer published it. Shown in the posting's own currency and period; we never convert.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
-
JazzHR employer's own board first seen 15d ago · last seen 9h ago
The listing
We are seeking an experienced Azure Solution Architect to lead the design and implementation of scalable, secure, AI-enabled enterprise solutions on Microsoft Azure. This role requires a strong mix of cloud architecture, application modernization, microservices, API strategy, and Generative AI expertise.
The ideal candidate will be responsible for driving solution architecture initiatives, collaborating with cross-functional stakeholders, and delivering innovative cloud-native and AI-powered platforms that support business transformation goals.
Key Responsibilities
- Design and architect enterprise-scale solutions on Microsoft Azure.
- Lead cloud modernization, application transformation, and AI adoption initiatives.
- Develop cloud-native applications using microservices and container-based architectures.
- Design secure API ecosystems using Azure API Management (APIM).
- Build and integrate AI-powered solutions utilizing Azure OpenAI, Azure AI Search, and RAG architectures.
- Define architecture standards, governance frameworks, scalability, resiliency, and security best practices.
- Create architecture documentation, technical roadmaps, and solution designs.
- Drive DevOps, CI/CD, monitoring, observability, and operational excellence initiatives.
- Ensure compliance with cloud security, IAM, governance, and enterprise standards.
Preferred Qualifications
- Microsoft Azure Solutions Architect Certification (AZ-305)
- Azure AI Engineer Certification
- Experience delivering enterprise AI/GenAI transformation programs
- Experience with LangChain, Vector Databases, and Conversational AI platforms
- Exposure to AI governance, observability, and responsible AI practices
Stakeholder Communication Requirements
- Proven experience collaborating with business stakeholders, product owners, engineering teams, security teams, and executive leadership.
- Ability to translate business requirements into scalable technical solutions.
- Experience leading architecture reviews, workshops, and technical discussions.
- Strong presentation and communication skills with both technical and non-technical audiences.
- Ability to influence decision-making and drive alignment across cross-functional teams.
Required Skills & Experience
- 10+ years of Software Engineering, Cloud Architecture, or Solution Architecture experience.
- 5+ years of hands-on experience designing enterprise solutions on Microsoft Azure.
- Strong experience with Azure App Services, APIM, Application Gateway (WAF), Azure Monitor, and Azure Container Registry (ACR).
- Expertise in microservices architecture, REST APIs, and containerized applications.
- Hands-on experience with Azure OpenAI, Azure AI Search, Prompt Engineering, and RAG solutions.
- Experience integrating LLMs such as GPT, Claude, Gemini, or Llama into enterprise applications.
- Strong knowledge of PostgreSQL, Azure Cosmos DB, and modern data architectures.
- Experience with Azure DevOps, CI/CD pipelines, DevSecOps, and infrastructure automation.
- Solid understanding of cloud security, IAM, authentication, authorization, and governance frameworks.