What are the responsibilities and job description for the Principal AI Architect position at Gemini Consulting Services?
Role: Principal AI Architect
Location: On-site in Minneapolis/St Paul Minnesota and is open to remote workers
(10 River Park Plz Ste 500 Saint Paul , MN, 55107)
Duration: 12 Month
Principal AI Architect
Position Overview
We are seeking a Principal AI Architect to provide enterprise-wide technical leadership for artificial intelligence initiatives while remaining actively engaged in hands-on development. This role is responsible for defining and owning the organization's AI architecture strategy, leading complex and high-impact AI transformations, and serving as a trusted advisor to executive leadership.
The Principal AI Architect will establish AI governance and ethical AI frameworks, define long-term technical standards, mentor senior technical talent, and guide investment decisions related to emerging AI technologies. This individual combines deep technical expertise with strategic vision to deliver scalable, business-critical AI solutions across the enterprise.
Key Responsibilities
- Define and own the enterprise AI architecture, standards, and technology roadmap.
- Lead the design, development, and deployment of large-scale AI and machine learning solutions.
- Provide technical leadership for strategic AI initiatives and enterprise transformation programs.
- Architect scalable, distributed AI systems that integrate across cloud, data, and application ecosystems.
- Establish governance, security, compliance, and ethical AI frameworks.
- Partner with executive leadership to evaluate emerging technologies and drive AI innovation.
- Serve as the organization's principal technical authority for AI and machine learning.
- Mentor senior engineers, architects, and AI practitioners while developing future technical leaders.
- Influence enterprise technology strategy and long-term architectural direction.
- Drive adoption of modern AI capabilities, automation, and advanced analytics solutions.
Required Qualifications
- Bachelor's degree in Computer Science, Engineering, Data Science, or a related technical field.
- 15 years of experience in software engineering, systems architecture, and applied AI development.
- Expert-level proficiency in Python and modern AI/ML frameworks.
- Proven experience designing and implementing enterprise-scale AI and machine learning platforms.
- Deep expertise in distributed systems, cloud computing, and large-scale data architectures.
- Strong understanding of AI governance, responsible AI practices, security, and compliance.
- Demonstrated success leading complex technical initiatives with enterprise-wide impact.
- Exceptional communication, collaboration, and executive stakeholder engagement skills.
Preferred Qualifications
- Master's degree or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
- Experience with Generative AI, Large Language Models (LLMs), agentic AI architectures, and MLOps.
- Expertise with AWS, Azure, and/or Google Cloud Platform.
- Track record of delivering AI solutions that drive measurable business outcomes at enterprise scale.
- Industry recognition through publications, patents, conference presentations, or technical thought leadership.
Salary : $100 - $110