Senior Solution AI Architect

Zealogics Inc

. Architect and lead end-to-end AI and Generative AI solutions across enterprise applications .

Posted 9/25/2026full-timeRemote • New Jersey • United StatesSenior💰 $140,000 - $145,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in architecting and implementing AI and Generative AI solutions, with a strong focus on LLMs, RAG, and cloud platforms. Proven ability to lead technical teams, establish AI governance, and translate business needs into scalable technical solutions.

Highest-signal resume keywords

Solution ArchitectureGenerative AI DesignCloud AI PlatformsAI GovernanceTechnical Leadership

ATS Keywords

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Hard Skills

PythonAPIsMicroservicesDatabasesCloud-Native ArchitectureMLOpsModel EvaluationMonitoringDeploymentPrompt Engineering

Soft Skills

Excellent CommunicationStakeholder Management

Tools & Technologies

Azure AIAzure OpenAIAWSGoogle Cloud AIVector Databases

Certifications & Qualifications

Cloud Architecture CertificationAI Architecture CertificationSolution Architecture Certification

Industry Keywords

AI SolutionsEnterprise ApplicationsData PrivacyAI SecurityResponsible AI

Tech Stack

Tools & technologies

AWSAzureCloudMicroservicesPython

About the role

Key responsibilities & impact

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
Preferred: build enterprise AI copilots, intelligent assistants, and agentic AI solutions
Preferred: take GenAI solutions from POC to enterprise production environments
Preferred: drive AI technology strategy and architecture decisions

Requirements

What you’ll need

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
Relevant Cloud, AI, or Solution Architecture certifications are preferred