AI Developer IV - Principal AI Engineer, 21407

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.

• 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.

• 401(k)
• Dental insurance
• Life insurance
• Vision insurance