M&T AI Solutions Architect

Job Overview:

Pay Range: $67.66hr - $87.83hr

Requirement/Must Have:

• Bachelor's degree in computer science, Information Systems, Software/Computer Engineering, or a related field.
• 10-13 years of relevant experience.
• At least 3 years of experience in a solution architect, technical lead, or equivalent design-authority capacity.
• Demonstrated experience designing and delivering enterprise-scale solutions spanning application, data, integration, and cloud components.
• Experience defining integration and data flows across multiple business systems and applying security and data-governance requirements in solution design.
• Legally authorized to work in the country of employment without company sponsorship, where applicable.

Responsibilities:

• Define end-to-end solution architecture for Digital Solutions and AI initiatives, translating business requirements into technical designs across application, data, integration, cloud, and AI/ML components.
• Provide architectural direction to development teams, vendors, and project teams; review and approve technical designs to ensure quality, scalability, security, and maintainability.
• Ensure solutions conform to enterprise architecture principles, reference architectures, technology standards, and reusable patterns.
• Design integrations, APIs, and data flows between Digital Solutions applications and enterprise systems, ensuring interoperability and data integrity.
• Architect solutions on approved cloud and platform services (e.g., Microsoft Azure), optimizing for performance, resilience, security, and cost.
• Evaluate and incorporate AI/ML, automation, and emerging technologies into solution designs, and advise on their responsible and appropriate application.
• Embed information-security, privacy, and data-governance requirements into all architectures, and ensure designs meet applicable regulatory and quality-management requirements.
• Assess technology options, products, and vendors; produce architecture decision records, trade-off analyses, and recommendations.
• Produce and maintain solution architecture artifacts (diagrams, specifications, and standards) and mentor engineers and analysts on architectural best practices.
• Support the Head of Digital & AI Strategy and Data and AI Chief Architect with technology roadmaps, feasibility assessments, and estimates.

Nice to Have:

• Experience in engineering, construction, manufacturing, or industrial environments.
• Hands-on experience applying AI/ML, data & analytics, or automation platforms to enterprise use cases.
• Experience in building Data and AI Solutions on the Databricks platform.

Skills:

• Deep knowledge of solution and enterprise architecture methods, patterns, and frameworks.
• Strong expertise across application, data, and integration architecture, including APIs, microservices, and modern data platforms.
• Hands-on experience with cloud platforms (preferably Microsoft Azure) and cloud-native design.
• Working knowledge of AI/ML, data & analytics, and automation technologies and their practical application.
• Solid understanding of information security, identity, privacy, and data-governance principles and secure-by-design practices.
• Excellent communication and stakeholder-management skills, with the ability to translate between business and technical audiences.
• Strong analytical and problem-solving skills and sound judgment in evaluating technical trade-offs.
• Ability to lead and influence cross-functional and vendor teams without direct authority.

Qualification And Education:

• Bachelor's degree in computer science, Information Systems, Software/Computer Engineering, or a related field.