[Hiring] Senior Solution AI Architect @Zealogics.com

Role Description

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.

• 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.

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.

Requirements

• Rate range: $140k-$145k