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Senior AI Architect

Job in West Concord, Dodge County, Minnesota, 55985, USA
Listing for: Trissential, LLC
Full Time position
Listed on 2026-09-09
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), Cloud Computing: Infrastructure & Operations
Salary/Wage Range or Industry Benchmark: 138000 - 149000 USD Yearly USD 138000.00 149000.00 YEAR
Job Description & How to Apply Below
Location: West Concord

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…

Position Requirements
10+ Years work experience
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