AI Platform Architect for Multi-Agent LLMs

Ascendion; New Jersey; On-site; GBP 90,000 - 150,000; Full time

Benefits offered by this job

Referral policy

Job summary

Ascendion is seeking an AI Consultant/Architect to lead design and deployment of multi-agent AI platforms, integrating OpenAI LLMs, RAG frameworks, and cloud architectures. This hands-on role focuses on secure, scalable production systems delivering real business impact.

You will collaborate with business and tech stakeholders, build intelligent chatbots, and ensure data security and enterprise compliance. Finance domain experience is a plus; work spans AI/Data Science, Generative AI/ML, and

Qualifications

• Experience in AI/ML architecture and solution design.
• Hands-on expertise with OpenAI / LLMs and RAG frameworks.
• Background building multi-agent systems or LLM orchestration.
• Strong understanding of vector search, NLP workflows, and prompt engineering.
• Knowledge of data security and enterprise compliance.

Responsibilities

• Architect and build multi-agent AI platforms using Cloud, OpenAI, and RAG frameworks.
• Develop intelligent AI chatbots capable of processing diverse documents and insights.
• Implement secure AI systems with PII masking and vulnerability detection.
• Lead production deployments ensuring scalability, performance, and reliability.
• Collaborate with business and tech stakeholders to deliver impactful AI solutions.

Skills

AI/ML architecture

OpenAI / LLMs

RAG frameworks

Multi-agent systems

Vector search

NLP workflows

Prompt engineering

React for AI

Tools

LangChain

AutoGen

Semantic Kernel

Job description

Ascendion is seeking an AI Consultant/Architect to lead design and deployment of multi-agent AI platforms, integrating OpenAI LLMs, RAG frameworks, and cloud architectures. This hands-on role focuses on secure, scalable production systems delivering real business impact.

You will collaborate with business and tech stakeholders, build intelligent chatbots, and ensure data security and enterprise compliance. Finance domain experience is a plus; work spans AI/Data Science, Generative AI/ML, and