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Engineering Automation Professional

Job in Reston, Fairfax County, Virginia, 20191, USA
Listing for: Global Technical Talent
Full Time position
Listed on 2026-09-01
Job specializations:
  • IT/Tech
    Cloud Computing: Infrastructure & Operations, Systems Engineer, AI Engineer (Applied/Software), Data Engineering
Salary/Wage Range or Industry Benchmark: 67.66 - 87.83 USD Hourly USD 67.66 87.83 HOUR
Job Description & How to Apply Below

ENEAUP
27 - EN Engineering Automation Prof

Location:

Reston, VA

Onsite Flexibility:
Hybrid — 3 days in office, 2 days remote

Contract Details

  • Position Type:
    Contract
  • Contract Duration: 12 months
  • Pay Rate: $67.66–$87.83 / Hour (USD)
  • Work Authorization:
    Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.

Job Summary

The M&T Solutions Architect designs and governs the technical solutions that power Manufacturing & Technology's (M&T) Digital Solutions and AI portfolio. Working within the Digital & AI Strategy / Information Systems & Technology (IS&T) function, the architect translates business and functional requirements into scalable, secure, and cost-effective solution designs spanning applications, data, integration, cloud, and AI/ML platforms. The role provides architectural leadership across the full solution lifecycle — from concept and design through implementation and adoption — ensuring solutions align with enterprise architecture standards, information-security and data-governance requirements, and M&T's digital strategy.

Key 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.

Required 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…
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