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Senior Solution AI Architect

Zealogics.com

Job Location:

Jersey, NJ - USA

Yearly Salary: USD 140000 - 145000

Posted: 29 September 2026 (Yesterday)

Application Deadline: 27 December 2026

Vacancies: 1 Vacancy

Job Summary

The ideal candidate will have deep expertise in Generative AI Large Language Models (LLMs) AI agents RAG cloud AI platforms and enterprise solution architecture. This position requires a hands-on technology leader who can translate business requirements into scalable secure and production-ready AI solutions.
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.

Required Qualifications

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.

Preferred Qualifications

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.

Rate range -$140k-$145k

Required Experience:

Senior IC

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