Job Description

About the Role
Title:
Senior AI Architect
Job Description:
Job ID
2026-55985
Job Locations
US-MN-Minneapolis | US-CO-Denver
Position Category
IT & Digital
Position Type
Permanent or Fixed Term Contract
Industry
Energy
Visa sponsorship
None
Languages Required
English essential
# of Openings
1
Workplace
Hybrid
Overview
Location:
Hybrid Preferred (Minnesota or Colorado) | Open to Remote for Exceptional Candidates
Employment Type:
Contract-to-Hire
Are you passionate about building enterprise-scale AI solutions that move beyond proofs of concept and into real business impact? 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 cutting-edge AI and Generative AI solutions across a complex enterprise environment.
What's in It for You?
Work on strategic "AI Big Bet" initiatives that have executive visibility and enterprise-wide impact
Influence the future of AI adoption across customer-facing solutions and enterprise platforms
Collaborate with AI leaders, architects, engineers, and business stakeholders across the organization
Design and build modern AI architectures leveraging GenAI, LLMs, cloud platforms, and enterprise integrations
Gain exposure to enterprise-scale AI programs involving SAP, Salesforce, Databricks, AWS, and GCP
Join a collaborative environment where innovation, experimentation, and practical AI delivery are encouraged
Opportunity to transition into a long-term role with a leading enterprise organization
Your Role & 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
Skills & Experience You Should Possess
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
Bonus Points If You Have
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
Education & Certifications You Need
Bachelor's degree in Computer Science, Information Technology, Engineering, Data Science, or a related field
Advanced degree in a relevant discipline is beneficial
AI, Machine Learning, Cloud, Databricks, AWS, or GCP certifications are highly desirable
What We Offer
At Trissential, we value innovation, collaboration, and continuous learning. By joining our client's team, you'll help shape enterprise AI strategy while working alongside experienced technology leaders and AI practitioners.
Competitive Compensation
–
$100-$108 per hour
. Final compensation is determined based on skill alignment, years of experience, and fair, market-based rates by geography.
Comprehensive Benefits for you and your dependents
– Medical, dental, vision, free tele-health, HSA with company contribution, life and disability insurance, and 401k with matching
Paid Time Off
– Offers paid time away from work
Flexible Work Environment
– Hybrid preferred with remote flexibility for highly qualified candidates
Career Growth Opportunities
– Work on emerging AI technologies and enterprise transformation initiatives
Leadership Visibility
– Engage directly with enterprise AI leaders and strategic stakeholders
Innovation-Focused Culture
– Contribute to transformational AI programs and enterprise modernization efforts
This role is only open to candidates currently authorized to work in the United States
Ready to be part of something exciting?
If you're passionate about designing enterprise AI solutions, influencing AI strategy, and delivering real-world business impact, we'd love to hear from you. Apply today and help shape the next generation of AI-driven customer experiences