Job ID: JOB_ID_7981
Role: Principal AI Architect
We are seeking a highly experienced Principal AI Architect with 8+ years of experience in engineering, ML, data platforms, and/or distributed systems. The ideal candidate will have deep hands-on experience with modern cloud providers like AWS, Azure, or GCP and a strong understanding of the AI/ML technology stack, including LLMs, MCPs, K8s, Open AI, Snowflake, and Databricks.
Key Responsibilities:
- Design and build AI platforms as a service.
- Develop solutions for Agent to Agent Orchestration and Agentic Layer Integration.
- Create AI UX Layer and Conversational AI Models.
- Ensure adherence to Responsible AI frameworks, evaluation standards, and frameworks.
- Apply strong architecture skills in Distributed systems, Data engineering, Cloud Architectures, and Platform Engineering.
- Implement data governance, metadata systems, semantic layers, and knowledge graphs.
- Provide clear guidance on designing secure and regulated AI systems at enterprise scale.
- Break down and decouple AI ecosystems into clear capabilities, standards, and integration patterns.
- Leverage prior experience in Platform Engineering and building horizontal shared or central capabilities.
Technical Requirements:
- 8+ years of experience in engineering, ML, data platforms, and/or distributed systems as a senior architect.
- Deep hands-on experience with modern cloud providers (AWS, Azure, GCP).
- Expertise in AI/ML technology stack (LLMs, MCPs, K8s, Open AI, Snowflake, Databricks, etc.).
- Deep knowledge of building AI platforms as a service.
- Understanding of Agent to Agent Orchestration, Agentic Layer Integration, AI UX Layer, and Conversational AI Models.
- Awareness of Responsible AI frameworks and evaluation standards.
- Strong architecture skills in Distributed systems, Data engineering, Cloud Architectures, and Platform Engineering.
- Experience with data governance, metadata systems, semantic layers, and knowledge graphs.
- Experience in designing secure and regulated AI systems at enterprise scale.
- Ability to define clear capabilities, standards, and integration patterns for AI ecosystems.
- Prior experience in Platform Engineering and building horizontal shared or central capabilities.
Location:
Stamford, CT (Hybrid – 2 days per month in office)
Employment Type:
Full-Time
Special Requirements
Hybrid (2 days in office per month)
Compensation & Location
Salary: $150,000 – $200,000 per year (Estimated)
Location: Stamford, CT
Recruiter / Company – Contact Information
Email: in.chaudhary@zenotis.com
Recruiter Notice:
To remove this job posting, please send an email from
in.chaudhary@zenotis.com with the subject:
DELETE_JOB_ID_7981