AI Architect

Centraprise; Minneapolis (MN); Hybrid; USD 130,000 - 160,000; Full time

Job summary

A leading IT consulting firm is seeking an experienced AI Architect to lead AI initiatives in healthcare. This role requires 15-20 years of enterprise architecture experience and a strong grasp on AI/ML technologies. You will define strategic roadmaps and implement innovative solutions, ensuring alignment with business priorities. Excellent communication skills and experience in stakeholder engagement are essential. The role offers a blend of remote and on-site work in Minneapolis, MN.

Qualifications

• 15-20 years of enterprise architecture experience.
• 3+ years in AI solution architecture.
• Strong understanding of healthcare payer insurance systems.

Responsibilities

• Lead AI strategy and roadmap development for healthcare payer programs.
• Design scalable AI/ML solutions using enterprise platforms.
• Translate business requirements into actionable insights.

Skills

AI/ML strategy development

Healthcare domain knowledge

Strong stakeholder collaboration

Excellent communication skills

Analytical skills

Tools

Enterprise AI platforms

AI/ML tools

Job description

This is Shivam from Centraprise Global working as Talent Acquisition Lead.

I came across your profile on our resume database and wanted to reach out regarding a Job opportunity. If interested please reply with your updated resume, contact details, and best time to discuss regarding the opportunity.

Job Title: AI Architect

Location: Minneapolis, MN / Remote

Duration: Full Time

Fulltime Role || USC ,GC , GC-EAD only || No Contract

Seniority level: Mid-Senior level

Employment type: Full-time

Job function: Information Technology

Industries: IT Services and IT Consulting

Job Description

Must Have Technical/Functional Skills

AI Architect:

We are seeking a highly skilled and experienced AI Architect with health insurance domain knowledge to lead large-scale AI programs, define strategic roadmaps, and deliver innovative AI solutions to complex business challenges. The ideal candidate will have deep expertise in AI/ML technologies, healthcare systems, and strong stakeholder collaboration skills.

Primary Responsibilities

• Lead AI strategy and roadmap development for large healthcare payer programs, aligning with business priorities and stakeholder needs.
• Design, implement, and scale innovative AI/ML solutions using enterprise platforms, ensuring reliability, efficiency, and compliance with MLRB processes.
• Translate business requirements into actionable insights and architecture, while preparing executive-level presentations and communicating findings to diverse audiences.
• Stay current with AI/ML advancements, educate teams on best practices and responsible AI use, and evaluate emerging technologies to enhance organizational capabilities.
• Collaborate with cross-functional teams across business and IT to drive transformational AI and automation initiatives.

Required Qualifications

• Proven experience in developing and implementing AI/ML strategies and managing large-scale AI programs.
• Strong understanding of healthcare payer insurance systems and enterprise architecture.
• Expertise in designing and deploying scalable AI solutions using modern platforms and tools.
• Excellent communication and presentation skills, with the ability to lead cross-functional teams and engage executive stakeholders.
• Up-to-date knowledge of AI/ML trends, tools, and responsible AI practices.
• Strong analytical and problem-solving skills.

Preferred Skills

• 15-20 years of enterprise architecture experience and well versed with enterprise architecture practices
• 3+ years of experience in AI solution architecture or a similar role
• Strategic leadership in aligning AI initiatives with healthcare payer business goals.
• Advanced proficiency in enterprise AI platforms and solution architecture.
• Ability to independently prepare executive-level presentations and drive stakeholder engagement.
• Commitment to continuous learning and team education on emerging AI technologies and ethical practices.

Contact

Thanks & Regards,

Shivam Gupta | Talent Acquisition Lead

Desk: 469-886-0123 Ext- 732