Technology Specialist – AI/ML Engineering & AI Development Lifecycle

Veriipro; Minnesota City (MN); On-site; USD 170,000 - 230,000; Full time

Job summary

Veriipro is seeking an experienced AI/ML Engineering Lead to drive enterprise AI initiatives, platform delivery, and AIDLC transformation. You will lead hands-on engineering and mentor teams, shaping governance, risk controls, and scalable AI solutions.

The role requires strong communication with senior stakeholders and expertise in enterprise AI platforms, transformation programs, and regulatory-compliant practices. This is a senior leadership position guiding complex AI programs.

Qualifications

• 8–10 years of overall technology experience, with 6–8 years in AI/ML.
• Minimum 4 years leading, managing, or coaching AI/ML engineering teams.
• Strong experience in AI/ML engineering and enterprise AI solution implementation.
• Solid understanding of the AI Development Lifecycle (AIDLC).
• Experience with AIDLC frameworks such as Spec Kit, BMAD, Spectra, or similar.
• Experience delivering and managing enterprise AI platforms.
• Knowledge of AI governance and responsible AI practices.
• Experience with model risk management and regulatory requirements.
• Experience guiding enterprise AI transformation or platform modernization.
• Strong communication, stakeholder management, and technical leadership skills.

Responsibilities

• Lead, mentor, and coach AI/ML engineering teams with a focus on AIDLC-led delivery.
• Drive enterprise AI transformation and AI platform modernization initiatives.
• Design, develop, and implement scalable AI/ML solutions for enterprise environments.
• Establish and improve AI Development Lifecycle processes, frameworks, and practices.
• Work with AIDLC frameworks such as Spec Kit, BMAD, Spectra, or similar methodologies.
• Collaborate with architecture, data, security, and business teams to deliver AI solutions.
• Define and implement responsible AI practices, including governance and risk controls.
• Support model risk management and regulatory compliance requirements.
• Establish best practices for AI development, testing, deployment, monitoring, and lifecycle management.
• Evaluate emerging AI/ML technologies and recommend enterprise adoption strategies.
• Lead AI platform delivery and integration across enterprise environments.
• Support modernization of platforms and applications using AI/ML capabilities.
• Ensure AI solutions meet security, privacy, compliance, scalability, and performance needs.
• Communicate technical strategies and AI roadmaps to senior stakeholders.

Skills

AI/ML engineering

Leadership

AIDLC frameworks

Enterprise AI

Stakeholder management

Communication

Governance

Regulatory compliance

Education

BS/MS in CS/Engineering

Certifications in AI/ML/Cloud

Job description

We are seeking an experienced AI/ML Engineering Lead to drive enterprise AI initiatives, AI platform delivery, and AI Development Lifecycle (AIDLC) transformation. The ideal candidate will have strong hands-on experience in AI/ML engineering, enterprise AI solution implementation, and leading or mentoring AI/ML engineering teams.

Key Responsibilities

• Lead, manage, mentor, and coach AI/ML engineering teams, with a strong focus on AIDLC-based delivery.
• Drive enterprise AI transformation and AI platform modernization initiatives.
• Design, develop, and implement scalable AI/ML solutions for enterprise environments.
• Establish and improve AI Development Lifecycle (AIDLC) processes, frameworks, and engineering practices.
• Work with AIDLC frameworks such as Spec Kit, BMAD, Spectra, or similar AI development methodologies.
• Collaborate with architecture, engineering, data, security, and business teams to deliver AI solutions.
• Define and implement responsible AI practices, including governance, transparency, explainability, and risk controls.
• Support model risk management and regulatory compliance requirements.
• Establish best practices for AI/ML development, testing, deployment, monitoring, and lifecycle management.
• Evaluate emerging AI/ML technologies and recommend appropriate enterprise adoption strategies.
• Lead AI platform delivery and integration across enterprise technology environments.
• Support modernization of existing platforms and applications using AI/ML capabilities.
• Ensure AI solutions meet enterprise security, privacy, compliance, scalability, and performance requirements.
• Communicate technical strategies, architecture decisions, and AI transformation roadmaps to senior stakeholders.

Required Skills

• 8–10 years of overall experience in technology, with 6–8 years of experience in AI/ML.
• Minimum 4 years of experience leading, managing, or coaching AI/ML engineering teams.
• Strong experience in AI/ML engineering and enterprise AI solution implementation.
• Strong understanding of AI Development Lifecycle (AIDLC).
• Experience with AIDLC frameworks and methodologies such as Spec Kit, BMAD, Spectra, or comparable frameworks.
• Experience delivering and managing enterprise AI platforms.
• Strong understanding of AI governance and responsible AI practices.
• Experience with model risk management and regulatory/compliance requirements.
• Experience leading enterprise AI transformation or platform modernization initiatives.
• Strong communication, stakeholder management, and technical leadership skills.

Preferred Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, Data Science, Artificial Intelligence, or a related field.
• Certifications in AI/ML, Cloud, Data Engineering, or Agile methodologies.
• Experience working within healthcare, financial services, or other highly regulated enterprise environments.
• Experience with cloud-based AI/ML platforms and enterprise data ecosystems.
• Experience establishing AI governance, risk, and compliance processes.