Senior AI Architect

Expleo • Minneapolis, MN

2d • Hybrid

About The Position

Trissential is hiring a Senior AI Architect to join our client's team and help lead strategic AI initiatives that are shaping the future of customer experiences. This is a high-visibility opportunity to architect, prototype, and build cutting-edge AI and Generative AI solutions across a complex enterprise environment. The role involves working on strategic "AI Big Bet" initiatives with executive visibility and enterprise-wide impact, influencing the future of AI adoption across customer-facing solutions and enterprise platforms, and collaborating with AI leaders, architects, engineers, and business stakeholders. The architect will design and build modern AI architectures leveraging GenAI, LLMs, cloud platforms, and enterprise integrations, gaining exposure to enterprise-scale AI programs involving SAP, Salesforce, Databricks, AWS, and GCP. The position offers a collaborative environment where innovation, experimentation, and practical AI delivery are encouraged, with the opportunity to transition into a long-term role with a leading enterprise organization.

Requirements

• 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 working with Large Language Models (LLMs), 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.
• Strong knowledge of AI governance, security controls, responsible AI practices, and risk management frameworks.
• Excellent communication skills with the ability to translate complex technical concepts into business-focused outcomes.
• Demonstrated success collaborating across architecture, engineering, product, and leadership teams.

Nice To Haves

• Experience with Databricks and modern data platform architectures.
• Exposure to Azure cloud services and AI workloads.
• Experience integrating with SAP, Salesforce, or Avaya environments.
• Utility industry experience.
• AI, Cloud, or Data certifications such as Databricks, AWS, GCP, or equivalent credentials.
• Experience scaling enterprise AI platforms across multiple business domains.
• Experience supporting conversational AI, voice AI, or agentic AI solutions.

Responsibilities

• Design scalable, secure, and production-ready AI architectures aligned with business and technical objectives.
• Lead solution architecture, prototyping, and technical design for AI and Generative AI initiatives.
• Translate business requirements into architecture diagrams, design documentation, and implementation roadmaps.
• 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 can 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.

Benefits

• Medical, dental, vision, free tele-health, HSA with company contribution, life and disability insurance, and 401k with matching
• Paid Time Off
• Flexible Work Environment
• Career Growth Opportunities
• Leadership Visibility
• Innovation-Focused Culture

What This Job Offers

• Job Type: Full-time
• Career Level: Senior