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# AI Developer IV - Principal AI Engineer, 21407

- **Company:** Gts Corp.
- **Location:** Saint Paul, MN, United States
- **Salary:** $239,200.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Application Integration Architecture, Microsoft Azure, Cloud Computing, Code Review, Continuous Integration, Data Cleansing, Dataspaces, Python (Programming Language), Machine Learning, Tensorflow, Software Deployment, Software Engineering, Systems Architecture, Enterprise Data Management, Google Cloud, Enterprise Software Applications, Feature Engineering, Retrieval-Augmented Generation, Large Language Models, Multi-Agent Systems, Prompt Engineering, IT Architecture, Generative AI, Agentic-AI, Build Management, AI Platforms, Information Technology, Machine Learning Operations, Software Coding, Data Pipelines
- **Published:** October 8, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=9127fc065bc89db4

## About the Role

* Bachelor's degree in Computer Science or a related field.
 * More than 15 years of experience in software engineering and applied AI.
 * Advanced Python proficiency and extensive hands-on development experience.
 * Proven experience architecting and deploying scalable, distributed AI systems.
 * Strong experience with generative AI, LLMs, RAG, agentic workflows, and AI/ML frameworks.
 * Extensive knowledge of system architecture, cloud platforms, enterprise data ecosystems, and application integration.
 * Demonstrated ability to lead complex AI initiatives with enterprise-scale impact.
 * Experience establishing technical standards, AI governance, and responsible AI practices.
 * Strong leadership, mentoring, and strategic communication skills.
 * Ability to work on-site in St. Paul, Minnesota.

Preferred Qualifications

 * Experience with AWS, Azure, or Google Cloud AI services.
 * Familiarity with vector databases, model evaluation tools, and agent orchestration frameworks.
 * Experience with MLOps, CI/CD, containers, and production model monitoring.
 * Experience delivering AI solutions in regulated or data-sensitive environments.

Location & Work Authorization Requirements

 * This position requires on-site work in St. Paul, MN.
 * Applicants must currently be based in the United States.
 * Candidates who need to relocate must be able to do so without relocation assistance.
 * Applicants must be authorized to work in the United States without current or future employer sponsorship.

## Description

GTTSi is seeking an AI Developer IV to lead the architecture, development, testing, and deployment of enterprise AI solutions. This principal-level position combines technical leadership with hands-on coding to deliver intelligent applications, automation, and AI-driven business capabilities.

The successful candidate will guide complex AI initiatives, establish technical standards, and collaborate with engineers, data scientists, and business stakeholders to translate strategic priorities into scalable, production-ready solutions., * Define AI architecture, technical roadmaps, and development standards across enterprise initiatives.

 * Lead end-to-end delivery of AI solutions, from requirements and proof of concept through production deployment and monitoring.
 * Design and build solutions using generative AI, agentic AI systems, large language models (LLMs), Retrieval-Augmented Generation (RAG), and advanced prompt engineering.
 * Write, review, and optimize Python code for AI applications, services, and supporting data pipelines.
 * Design scalable, distributed AI systems that integrate with cloud platforms, enterprise applications, and data ecosystems.
 * Guide data preparation, transformation, feature engineering, and model selection.
 * Establish evaluation, testing, and monitoring practices for model performance, reliability, and response quality.
 * Implement responsible AI practices, governance frameworks, security controls, and ethical development standards.
 * Resolve complex issues involving AI models, application integrations, and production infrastructure.
 * Lead architecture and code reviews, mentor engineers, and develop future technical leaders.
 * Communicate technical strategy, business value, risks, and investment recommendations to executive leadership.
 * Evaluate emerging AI technologies and recommend opportunities for enterprise adoption.