M&T AI Solutions Architect

Cynet Systems•Reston, VA

About The Position

M&T AI Solutions Architect is responsible for defining end-to-end solution architecture for Digital Solutions and AI initiatives. This role translates business requirements into technical designs across various components including application, data, integration, cloud, and AI/ML. The architect provides architectural direction to development teams, vendors, and project teams, ensuring solutions meet quality, scalability, security, and maintainability standards. They also ensure adherence to enterprise architecture principles and standards, design integrations and data flows, and architect solutions on approved cloud platforms like Microsoft Azure. A key aspect of this role involves evaluating and incorporating AI/ML, automation, and emerging technologies, while embedding information security, privacy, and data governance requirements. The architect will assess technology options, produce architecture decision records, and maintain architecture artifacts. They will also support strategic initiatives by contributing to technology roadmaps and feasibility assessments.

Requirements

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.
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.

Nice To Haves

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.

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.