Senior Solution AI Architect - Remote
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 39d ago
The date the source published, not the day we noticed it (2026-09-24). 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?
Marked remote on the employer's board
Their board carries a remote setting on this posting — a field they filled in, not wording we read. The location field names somewhere specific, which is usually where the team or the entity sits.
Who may apply?
United States
The description states no restriction of its own. This is the source's own tag.
Pay not stated
Similar roles pay $169k–231.5k/yr
Middle 50% of 2761 listings that do state pay — Engineering · Senior · United States · USD/year. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
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JazzHR employer's own board first seen 15d ago · last seen 9h ago
The listing
Key Responsibilities
- Architect and lead end-to-end AI and Generative AI solutions across enterprise applications.
- Design solutions leveraging LLMs, RAG, AI agents, embeddings, vector databases, and prompt engineering.
- Define enterprise AI architecture standards, patterns, and technology roadmaps.
- Evaluate AI use cases and recommend appropriate models, platforms, frameworks, and architecture approaches.
- Integrate AI solutions with enterprise applications, APIs, databases, and cloud platforms.
- Lead architecture reviews, technical design sessions, and AI proof-of-concepts.
- Work closely with business stakeholders, engineering teams, and senior leadership to translate business needs into technical solutions.
- Establish best practices for AI security, governance, responsible AI, data privacy, scalability, and performance.
- Provide technical leadership and mentorship to engineering and AI development teams.
- Drive AI solutions from initial concept and POC through production implementation.
- Extensive experience in Solution Architecture, Enterprise Architecture, or AI Architecture.
- Strong hands-on experience designing Generative AI and LLM-based solutions.
- Deep understanding of RAG, AI agents, embeddings, vector databases, prompt engineering, and LLM application architecture.
- Experience with cloud AI platforms such as Azure AI / Azure OpenAI, AWS, or Google Cloud AI.
- Strong experience with Python, APIs, microservices, databases, and cloud-native architecture.
- Experience architecting secure and scalable enterprise applications.
- Knowledge of MLOps/LLMOps, model evaluation, monitoring, and deployment.
- Strong understanding of AI governance, responsible AI, security, and data privacy.
- Excellent communication, technical leadership, and stakeholder-management skills.
- Ability to communicate complex AI concepts to both technical and non-technical stakeholders.
- Experience building enterprise AI copilots, intelligent assistants, and agentic AI solutions.
- Experience taking GenAI solutions from POC to enterprise production environments.
- Knowledge of enterprise search and vector database technologies.
- Experience driving AI technology strategy and architecture decisions.
- Relevant Cloud, AI, or Solution Architecture certifications are preferred.