Solution Architect III

Why GM Financial Technology

Innovation isn’t just a talking point at GM Financial, it’s how we operate. From generative AI and cloud-native technologies to peer-led learning and hackathons, our tech teams are building real solutions that make a difference. We’re committed to AI-powered transformation, using advanced machine learning and automation to help us reimagine customer interactions and modernize operations, positioning GM Financial as a leader in digital innovation within a dynamic industry.

Join us and discover a workplace where your ideas matter, your development is prioritized, and you can truly make a global impact.

About the role:

The Solution Architect (SA III) provides technical leadership for agile teams and defines and communicates a shared technical vision for the solution under development. The SA is able to architect end to end solutions by understanding and translating customer needs into technical solutions. The SA will play a key role in the design of the Azure architecture for mobile and web applications.

In this role you will:

• Define the technical and architectural vision for the solution under development by technical trade-offs and analysis of alternatives
• Continuously evolve solution architecture with input and feedback from application architects and software engineers
• Outline the primary components and interfaces of the solution, and their interactions.
• Plan and develop the architecture runway enablers through research, prototyping, and other activities needed to explore prospective solutions and evaluate alternatives
• Works with Product Manager, Product Owner, Application Architect and Software engineering teams to elaborate product requirements into technical requirements which are used to develop stories that can be estimated accurately
• Participates in Scrum of Scrums to understand and remove architectural impediments/blockers
• Participates in Solution Demo and program planning and identifies opportunities for improvement

• Advanced knowledge of Agile methodologies (Scrum, Lean, XP) and cross-functional teams
• Advanced knowledge of multi-tier application architecture design, application development (full SDLC) and application integration
• Advanced knowledge of Service Oriented Architecture concepts – SOAP, Web API, REST API and microservices
• Advanced knowledge implementing solution architecture including one or more of the following domains: technology architecture, information architecture, data architecture, application architecture, security architecture, and integration architecture
• Experience with Adobe Marketing Cloud products preferred
• Experience with mobile application development preferred
• Experience in building cloud solutions architecture using Public Clouds (IaaS and PaaS) preferred
• Experience in containerization – Docker, Docker Swarm or Kubernetes preferredAbility to overcome steep learning curve within a short period of time on any subject and speak intelligently about the subject
• Ability to multitask and work independently with minimal direction and maximum accountability
• Ability to self-manage time and priorities in a complex multi-team agile environment while maintaining high-quality deliverables
• Works through others to achieve more than individual contribution
• Strong communication skills – proficient in communicating technical solutions to technical and non-technical audiences of varying skillset and levels of the organization

Experience

• 4-6 years of relevant experience Req
• High School Diploma or equivalent Required
• Bachelor’s Degree in related field or equivalent experience Preferred

Additional Knowledge and Skills

• Working effectively within an AI enabled environment: 
• Ability to use AI tools (e.g., Microsoft Copilot) to support daily work
• Skills in evaluating AI outputs for accuracy, compliance, and bias
• Experience integrating AI into workflows to improve efficiency or insights
• Familiarity with AI assisted research, summarization, and content generation
• Understanding of responsible AI use, including ethics and data protection
• Experience with AI assisted software development or automation
• Knowledge of prompting techniques to improve output quality
• Awareness of emerging GenAI capabilities and limitations

What We Offer: Generous benefits package available on day one to include: 401K matching, bonding leave for new parents (12 weeks, 100% paid), tuition assistance, training, GM employee auto discount, community service pay and nine company holidays.
Our Culture: Our team members define and shape our culture — an environment that welcomes innovative ideas, fosters integrity, and creates a sense of community and belonging. Here we do more than work — we thrive.
Compensation: Competitive pay and bonus eligibility.
Work Life Balance: Hybrid work environment, 2-days a week in office.
NOTE: We are unable to consider candidates who require visa sponsorship for this position
This position is not open to agency submissions

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