Senior AI Architect

2 days ago

Minneapolis, MN, USASenior

Responsibilities

Design scalable, secure, and production-ready AI architectures aligned with business and technical objectives.
Lead solution architecture, prototyping, technical design, architecture documentation, and implementation roadmaps for AI and Generative AI initiatives.
Partner with data, platform, integration, and application teams to embed AI capabilities into enterprise systems.
Guide engineering teams on implementation approaches, best practices, and architecture standards.
Develop enterprise AI platform capabilities that support multiple business use cases.
Establish integration patterns between AI solutions and enterprise applications such as SAP and Salesforce.
Ensure compliance with AI governance, security, risk management, and responsible AI standards.
Evaluate emerging AI technologies, external partners, and proof-of-value opportunities.
Present architecture strategies and recommendations to business and technology leadership.

Proven experience designing and delivering production AI/ML solutions in enterprise environments.
Strong background in AI architecture, platform design, and enterprise technology integration.
Hands-on experience with Large Language Models, Generative AI solutions, and modern AI frameworks.
Deep understanding of the machine learning lifecycle, including training, deployment, inference, monitoring, and evaluation.
Experience architecting cloud-based AI solutions using AWS and/or GCP.
Ability to rapidly prototype solutions and guide teams through production implementation.
Experience integrating AI platforms with enterprise systems and data ecosystems.
Knowledge of AI governance, security controls, responsible AI practices, and risk management frameworks.
Excellent communication skills and ability to translate complex technical concepts into business-focused outcomes.
Demonstrated success collaborating across architecture, engineering, product, and leadership teams.
Bachelor's degree in Computer Science, Information Technology, Engineering, Data Science, or a related field.
Advanced degree, AI/ML/cloud/data certifications, Databricks certification, AWS certification, or GCP certification are desirable.
Experience with Databricks, modern data platform architectures, Azure, SAP, Salesforce, Avaya, utility industry environments, or conversational, voice, or agentic AI is beneficial.

Contract-to-hire opportunity with potential transition into a long-term role.
Hybrid work preferred in Minnesota or Colorado, with remote flexibility for highly qualified candidates.
Medical, dental, vision, free tele-health, HSA with company contribution, life and disability insurance, and 401k with matching.
Paid time away from work.
Career growth through emerging AI technologies and enterprise transformation initiatives.
Direct engagement with enterprise AI leaders and strategic stakeholders.
Opportunity to work on executive-visible, enterprise-wide AI initiatives.
The role is open only to candidates currently authorized to work in the United States.