Remote AI Architect - AI-First Platforms

IKS Health; United States; On-site; USD 140,000 - 160,000; Full time

Benefits offered by this job

Healthcare

401k

Paid time off

Job summary

IKS Health seeks an AI Architect to lead the design and development of AI-first patient access solutions across web and mobile platforms. The role emphasizes hands-on engineering across React, Node.js, Python, and LangGraph, with a focus on scalable production-grade AI systems.

The ideal candidate will define architectural patterns, guide cross-functional teams, and collaborate with clients to drive adoption of AI-powered solutions, including agentic workflows and cloud-native architectures.

Qualifications

• Bachelor’s degree or preferably a Master’s degree with 7+ years of software engineering or architecture experience.
• Proven track record delivering AI-native, public-facing applications.
• Strong proficiency in React.js, Node.js, and Python.
• Experience with LangGraph or similar orchestration frameworks.
• Hands-on experience building AI agents, workflows, or agentic architectures.

Responsibilities

• Architect, build, and maintain AI-first web and mobile applications across the stack.
• Lead AI-powered feature development using Python, LangGraph, and modern tooling.
• Design agentic workflows with orchestration, tool use, stateful flows, and human-in-the-loop patterns.
• Deliver end-to-end solutions spanning front end, back end, APIs, and cloud infra.
• Provide architectural oversight, code reviews, and mentorship to engineering teams.
• Partner with clients to demonstrate and roll out AI-powered solutions.

Skills

React.js

Node.js

Python

LangGraph

Agentic workflows

Education

Bachelor’s or Master’s degree in a related field

Job description

IKS Health seeks an AI Architect to lead the design and development of AI-first patient access solutions across web and mobile platforms. The role emphasizes hands-on engineering across React, Node.js, Python, and LangGraph, with a focus on scalable production-grade AI systems.

The ideal candidate will define architectural patterns, guide cross-functional teams, and collaborate with clients to drive adoption of AI-powered solutions, including agentic workflows and cloud-native architectures.