Why This Role Stands Out
Shape the future of AI solutions as an AI Solution Architect at Smart Synergies, where you'll lead innovative design and gain exposure to cutting-edge technologies in a collaborative hybrid environment. If you excel at translating complex business needs into scalable technical blueprints and thrive on technical leadership, this role offers immense growth and impact. Apply today to contribute to groundbreaking AI initiatives and advance your career in a reputable tech company.
Quick Overview
Seniority
Mid Senior
Work mode
Hybrid
Location
Reston, VA, United States
Posted
3 weeks 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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