Senior AI Architect

About the Role

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 deliver 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

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

Required Skills & Experience

• 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

Preferred Qualifications

• 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

• 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

Pay

$100-$108 per hour. Final compensation is determined based on skill alignment, years of experience, and fair, market-based rates by geography.

Benefits

• 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

Schedule

Hybrid Preferred (Minnesota or Colorado) | Open to Remote for Exceptional Candidates