Federal AI Software Engineer — Strategy, Cloud & Security

GSA; Chicago (IL); On-site; USD 117,000 - 150,000; Full time

Job summary

The General Services Administration (GSA) is actively recruiting an AI Software Engineer to establish technical strategies, standards, and architectures for secure, ethical AI adoption across the federal government. This role resides within the Office of Technology Transformation Services (TTS) under the Federal Acquisition Service (FAS) of GSA.

As part of a team of experts, you will direct enterprise-wide AI engineering efforts, provide technical guidance on AI-enabled systems, and collaborate

Qualifications

• One year of specialized experience in agile teams developing digital products and services for public-facing or enterprise environments.
• Experience in cloud-native architectures, cybersecurity-by-design, and deployment of emerging technologies.
• Ability to apply information security and privacy best practices in AI or cloud environments.

Responsibilities

• Formulates enterprise-wide engineering strategies for AI-enabled systems and cloud-native architectures.
• Provides technical guidance for AI-enabled systems and integration with hardware/software.
• Advices on data strategy and emerging technologies with stakeholders and partners.
• Shaping national and international AI, data policies and mandates with agency personnel.

Skills

Python

Go

JavaScript

TypeScript

Node.js

React

Terraform

Next.js

HTML/CSS

Tools

Cloud-native architectures

AI systems

Data strategy

Computer hardware/software integration

Job description

The General Services Administration (GSA) is actively recruiting an AI Software Engineer to establish technical strategies, standards, and architectures for secure, ethical AI adoption across the federal government. This role resides within the Office of Technology Transformation Services (TTS) under the Federal Acquisition Service (FAS) of GSA.

As part of a team of experts, you will direct enterprise-wide AI engineering efforts, provide technical guidance on AI-enabled systems, and collaborate