Senior Solution AI Architect

Job not on LinkedIn

đź•’ September 25

🏖️ New Jersey – Remote

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đź’µ $140k - $145k / year

⏰ Full Time

đźź  Senior

🤖 AI Engineer

đź‘» Ghost score 0%

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Logo of Zealogics Inc

Zealogics Inc

501 - 1000 employees

đź’Ľ Consulting

🏥 Healthcare

📦 Logistics

Consulting • Healthcare • Logistics

Zealogics Inc. is a global technology company headquartered in New Jersey, specializing in IT consulting, engineering, and systems implementation. Founded in 2012, Zealogics provides a wide array of services, including software and hardware engineering, digital transformation, cloud solutions, artificial intelligence, and low-code development. The company aims to empower businesses across various industries such as semiconductor, automotive, finance, healthcare, telecom, and retail, with innovative and scalable solutions that enhance efficiency, agility, and customer experience. Zealogics partners with clients to understand their unique needs, delivering tailored solutions to achieve their business goals.

đź“‹ Description

• 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

• 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

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