Senior AI Architect

Expleo•Minneapolis, MN

4d•Hybrid

About The Position

Trissential is hiring a Senior AI Architect to join our client’s enterprise AI team. This role is designed for a hands-on builder with strong architectural judgment who knows how to operationalize AI at scale. You will help shape enterprise AI strategy while staying close to delivery, partnering across engineering, data, security, and external vendors to move AI solutions from idea to production — quickly, securely, and pragmatically. This role thrives in ambiguity, values execution, and enjoys building.

Requirements

Proven experience delivering production AI or ML solutions in large enterprise environments
Hands-on experience designing and deploying GenAI and LLM-based systems
Strong understanding of the ML lifecycle (training, inference, evaluation, iteration)
Experience with AI architecture and platform design for scalable, cloud-native systems
Ability to move quickly from concept → prototype → production
Experience integrating AI into existing enterprise systems and workflows
Solid foundation in data pipelines, data platforms, and data quality
Strong communication skills — able to explain complex AI concepts to both technical and business stakeholders

Nice To Haves

Experience enabling AI adoption across multiple teams or business units
Familiarity with enterprise AI operating models and platform strategies
Hands-on experience with Databricks or similar data/AI platforms
Exposure to SAP, Salesforce, Avaya, or other large enterprise systems
Utility or regulated-industry experience
Cloud or AI certifications (AWS, GCP, Databricks, etc.)

Responsibilities

Design scalable, secure enterprise AI and GenAI architectures aligned to business strategy
Lead solutioning and hands-on prototyping of AI systems, including LLM-based workflows
Translate business needs into architecture diagrams, solution designs, and integration patterns
Partner with data, platform, security, and application teams to embed AI into core enterprise systems
Support delivery teams with implementation guidance, architectural tradeoffs, and best practices
Contribute to enterprise AI platform development, reusable patterns, and standards
Apply AI governance, risk, and security guardrails across all solutions
Engage with external AI partners and assist in evaluating proof-of-value initiatives
Present architectures and solution designs for enterprise review and alignment