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AI Solution Architect

Smart SynergiesReston, VA🇺🇸United StatesPosted 25 Aug 2026

Quick Overview

Seniority
Mid Senior
Work mode
Hybrid
Location
Reston, VA, United States
Posted
23 hours ago
MicroservicesAzureDatabricks

Job Description

Principal Responsibilities

  • Solution architecture & design - Define end-to-end solution architecture for M&T Digital Solutions and AI initiatives, translating business requirements into technical designs across application, data, integration, cloud, and AI/ML components.
  • Technical leadership & design authority - Provide architectural direction to development teams, vendors, and project teams; review and approve technical designs to ensure quality, scalability, security, and maintainability.
  • Enterprise alignment & standards - Ensure solutions conform to enterprise architecture principles, reference architectures, technology standards, and reusable patterns, and contribute to the evolution of those standards.
  • Integration & data architecture - Design integrations, APIs, and data flows between Digital Solutions applications and enterprise systems (e.g., HR/workforce-planning, project, and functional systems), ensuring interoperability and data integrity.
  • Cloud & platform architecture - Architect solutions on approved cloud and platform services (e.g., Microsoft Azure), optimizing for performance, resilience, security, and cost.
  • AI & emerging technology - Evaluate and incorporate AI/ML, automation, and emerging technologies into solution designs, and advise on their responsible and appropriate application to M&T use cases.
  • Security & compliance by design - Embed information-security, privacy, and data-governance requirements into all architectures, and ensure designs meet applicable regulatory and quality-management (e.g., ISO) requirements.
  • Technical evaluation & governance - Assess technology options, products, and vendors; produce architecture decision records, trade-off analyses, and recommendations; and participate in architecture and change-governance reviews.
  • Documentation & knowledge transfer - Produce and maintain solution architecture artifacts (diagrams, specifications, and standards) and mentor engineers and analysts on architectural best practices.
  • Roadmap & advisory - Support the M&T Head of Digital & AI Strategy and M&T Data and AI Chief Architect with technology roadmaps, feasibility assessments, and estimates that inform portfolio and investment decisions.

 

Basic Qualifications and Minimum Requirements

  • Bachelor’s degree in computer science, Information Systems, Software/Computer Engineering, or a related field, and 10-13 years of relevant experience or 14-17 years
  • At least 3 years of the required 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.
  •  

Preferred:

  • 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.

Knowledge, Skills, and Competencies

  • 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.

 

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