Senior Solution AI Architect - Remote

Zealogics.com; West Carteret (NJ); Remote; USD 140,000 - 145,000; Full time

Job summary

Zealogics.com seeks an hands-on AI Architecture leader to architect and guide enterprise AI initiatives across applications, translating business needs into scalable solutions.

You will design using LLMs, RAG, AI agents, embeddings, vector databases, and prompts, while aligning with security, governance, data privacy, and performance. Collaborate with senior leadership to deploy production-ready AI systems.

Qualifications

• Extensive experience in Solution Architecture, Enterprise Architecture, or AI Architecture.
• Hands-on design of Generative AI and LLM-based solutions.
• Deep knowledge of RAG, AI agents, embeddings, vector databases, and prompt engineering.
• 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.

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.

Skills

Solution Architecture

Enterprise Architecture

AI Architecture

LLM-based Solutions

AI Governance

Data Privacy

MLOps/LLMOps

AI Security

Tools

Azure AI / Azure OpenAI

AWS

Google Cloud AI

Python

APIs

Microservices

Vector Databases

Embeddings

Job 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.

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