AI Solutions Architect for Enablement

Geotab; Atlanta (GA); Hybrid; USD 83,000 - 103,000; Full time

Benefits offered by this job

Flex working arrangements

Home office reimbursement program

Baby bonus & parental leave top up

Online learning and networking

Electric vehicle purchase incentive

Medical and dental benefits

Retirement savings program

Job summary

Geotab is seeking an AI Solutions Developer to architect, build, and operationalize AI applications for Global Enablement. You will code AI agents, develop RAG systems, and deliver full‑stack solutions with secure RESTful integrations.

You will collaborate with subject matter experts, IT, and GenAI platform teams, while ensuring scalable, cost‑efficient performance and clear communication to stakeholders.

Qualifications

• Bachelor’s degree in Computer Science, Data Science, Engineering, AI or related field.
• 3–5 years in AI/ML, Data Science or software engineering roles.
• Strong Python skills with pandas and async programming; proficient in JS/TS.

Responsibilities

• Design, develop, deploy, and maintain AI-powered applications for Global Enablement.
• Build AI agents and automation solutions, including RAG systems and secure APIs.
• Develop complete applications with UI, backend, and secure integrations.

Skills

Python

JavaScript/TypeScript

Communication

Problem solving

Education

Bachelor’s degree in Computer Science or related field

Master’s degree preferred

Tools

LangChain

AutoGen

CrewAI

RESTful APIs

Job description

Geotab is seeking an AI Solutions Developer to architect, build, and operationalize AI applications for Global Enablement. You will code AI agents, develop RAG systems, and deliver full‑stack solutions with secure RESTful integrations.

You will collaborate with subject matter experts, IT, and GenAI platform teams, while ensuring scalable, cost‑efficient performance and clear communication to stakeholders.