Lead Solution Architect

JOB DESCRIPTION

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.

RESPONSIBILITIES

About the role:

As a Lead Solution Architect, you will be a key enabler of our Digital Transformation and provides technical leadership and guidance to other architects, agile teams and defines and communicates a shared technical vision for the solution under development. This position will be focused on guiding the architectural direction of our existing digital products and new digital initiatives, leveraging modern architecture and cloud technologies to deliver superior customer experiences which help to maintain industry-leading customer satisfaction. The Lead Solution Architect should be able to architect end to end solutions by understanding and translating business needs into technical solutions. The Lead Solution Architect will play a key role in providing guidance, setting architecture standards and patterns and designing complex Azure architecture for both mobile and web applications.

In this role you will:

• You will apply your sound technical know-how, understanding of business contexts, and analytical skills to enable organizations to technically transform
• Build relationships with senior technical individuals and leaders across the organization
• Educate other architects and participate in deep architectural discussions to ensure solutions are designed for successful deployment in the cloud covering both functional and non-functional aspects
• In partnership with the leadership team and architects across different domains, formulate and execute new and existing initiatives and products
• Conduct one-to-many sessions to mentor and transfer knowledge to other solution architects across the organization
• Act as a technical liaison between various GM Financial technical groups
• Own or be a key contributor to the outcome of a big bet initiative for the Solutions Architect organization
• Provide significant input into technology strategy and road-map; keep up to date on key technology trends and their applied use in financial services with emphasis on digital solutions and interact with various business partners (both internal and external) to assist in the design and implementation of business applications leveraging modern architectural standards
• Participate in the development and maintenance of architectural standards under Digital org, including patterns, reference architectures, and best practices
• Future-state application architecture: Developing and ensuring effective adoption that supports business strategies around our application architecture

• Experience working with Agile methodologies (Scrum, Lean, XP) and cross-functional teams
• Experiences with multi-tier application architecture design, application development (full SDLC) and application integration
• Advanced knowledge of current application design patterns E.g: Domain Driven Design, Micro-Services, Minimal API, Event Driven, Federated Identity, Sharding, Strangler Fig
• Experience in using API technologies -HTTP, JSON, XML, REST API, and GraphQL
• Experience applying microservices concepts like CQRS, back-end-for-front-end, anti-corruption layer, etc.
• Experience and technical knowledge of various technology stacks
• Experience in cloud native applications and cloud services architecture
• Experience in building cloud solutions architecture using Public Clouds (IaaS and PaaS)
• Experience and technical knowledge in containerization - Docker, Docker Swarm or Kubernetes
• Experience and technical knowledge of Structured and unstructured databases and usage patterns
• Experience in Integration methodologies and tools
• Experience in Process automation approaches and tooling (e.g. DevOps, AIOps)
• Collaborative. They are interdisciplinary team players who seek alignment and establish relationships ranging from cross-functional stakeholder groups to existing teams
• Comfortable with ambiguity. They know the path forward isn't always well-defined. They are comfortable and confident working through the unknown.
• Technical experts. They are critical thinkers and have extensive IT expertise that drives novel solutions routed in complexity.
• Generalists. They have a solid technical foundation and wide range of experience to guide any client on any challenge, agnostic of industry.
• Change agents. They know how to make change happen across an organization. They can align and onboard teams to implement new processes and toolsets. They embrace complex challenges and guide an organization to optimize IT best practices.
• Strong communication skills - proficient in communicating technical solutions to technical and non-technical audiences of varying skill set and levels of the organization
• Ability to explain complex technology topics to executives
• 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
• Experience with Adobe Marketing Cloud products
• Experience with Mobile Application development

• 7-10 years of experience as an Architect with a proven track record of implementing innovative solutions and delivering business values required
• High School Diploma or equivalent required
• Bachelor's Degree in Information Technology, Computer Science, Computer Engineering or equivalent work experience required

• 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