Agentic AI/Gen AI Architect

Swoon Group

Chicago, United States of America

9 days ago

Role details

Contract type

Temporary contract

Employment type

Full-time (> 32 hours)

Working hours

Regular working hours

Languages

English

Experience level

Senior

Chicago, United States of America

Artificial Intelligence

Amazon Web Services (AWS)

Computing Platforms

Azure

Databases

Search Technologies

AI Infrastructure

Google Cloud Platform

Large Language Models

Multi-Agent Systems

IT Architecture

Generative AI

Kubernetes

Deployment Automation

Virtual Agents

GPT

Architect and design enterprise-scale Agentic AI and Generative AI solutions that support business banking and enterprise technology initiatives
Build and guide AI agent frameworks focused on autonomous workflows, multi-step reasoning, orchestration, and task automation
Lead the design and implementation of LLM integrations, Retrieval-Augmented Generation (RAG) architectures, vector database strategies, and AI orchestration layers
Partner with business leaders, enterprise architects, engineering teams, and product stakeholders to define AI strategy, governance standards, and implementation roadmaps
Evaluate emerging AI technologies, frameworks, and tooling to recommend scalable, secure, and enterprise-ready AI solutions within a regulated banking environment
Establish and enforce best practices around AI architecture, security, observability, scalability, responsible AI usage, and enterprise governance controls
Collaborate closely with engineering and delivery teams to drive AI transformation initiatives, support production AI deployments, and ensure successful enterprise adoption of GenAI solutions

5+ years of experience in AI architecture, enterprise solution architecture, or Generative AI platform design within large-scale enterprise environments
Strong expertise with Agentic AI frameworks, autonomous AI systems, and enterprise Generative AI technologies including GPT-based ecosystems
Hands-on experience designing and implementing LLM integrations, prompt orchestration, Retrieval-Augmented Generation (RAG), and AI workflow automation solutions
Deep understanding of AI orchestration frameworks and tools such as LangChain, LangGraph, CrewAI, AutoGen, Semantic Kernel, or similar technologies
Experience architecting scalable and secure AI solutions within regulated industries, preferably banking or financial services environments
Strong knowledge of enterprise cloud platforms and AI infrastructure including AWS, Azure, or Google Cloud Platform, along with vector databases and semantic search technologies
Excellent communication, stakeholder management, and enterprise governance experience with the ability to lead architecture discussions and influence strategic AI initiatives across technical and business teams