Technical Architect II

The Technical Architect II specializing in AI Architecture & Enablement provides advanced architectural leadership within an assigned business area, aligning AI-enabled solution development with broader architecture direction while remaining closely connected to implementation.

This role translates business and product needs into practical, implementable architectures for AI-enabled applications, agents, retrieval-augmented generation solutions, intelligent workflows, and supporting application, service, API, data, and platform components. The architect helps engineering and Support technology teams evaluate where AI can create meaningful business value and guides those opportunities from technical exploration through scalable, secure, maintainable production implementation.

As a senior technical leader, the Technical Architect II drives architecture within their assigned scope, establishes and applies technical standards, and guides teams through design decisions involving cost, scalability, security, reliability, data protection, maintainability, and operational support. The role balances strategic architectural thinking with hands-on technical depth through prototypes, reference implementations, design reviews, technical guidance, and implementation oversight.

The Technical Architect II also enables engineering teams to adopt effective AI development practices. This includes architectural guidance for agents, retrieval and knowledge integration, model and framework selection, evaluation practices, prompt and context engineering, tool integration, human oversight, and AI-assisted software development. The role identifies recurring technical challenges and turns those learnings into reusable patterns, examples, and guidance that can be applied by teams within the assigned organization.

This role may provide architectural leadership for AI-powered capabilities supporting Engineering, Support, or other assigned business functions. It partners with Product, Engineering, Support, Security, Data, Platform, Infrastructure, Enterprise Architecture, and knowledge-system owners as needed to ensure solutions use trusted information, enforce appropriate permissions, preserve provenance, and operate within organizational and regulatory constraints.

The Technical Architect II does not own the enterprise AI platform, enterprise AI strategy, or every AI implementation. The role owns architectural execution and team enablement within its assigned area while partnering with senior architects, Enterprise Architecture, and shared AI, Data, Security, and Platform teams when broader alignment is required.

• →Align the architecture vision and architecture runway with business strategies and portfolios.
• →Collaborate with team members to determine the best practices and requirements for software.
• →Support the development team to ensure they are confident in technology.
• →Use a proactive approach to solve common challenges.
• →Complete all responsibilities as outlined in the annual performance review and/or goal setting.
• →Complete all special projects and other duties as assigned.
• →Must be able to perform duties with or without reasonable accommodation.

• Master’s degree in Computer Science, Information Technology, or related field, or equivalent experience.
• 6+ years of experience building world-class web UI/workflow/backend applications.
• Significant experience in UX/UI architecture and Application/Solution architecture.
• Hands-on experience building rich & highly responsive APIs
• Expert at coding using functional or higher languages/frameworks such as Java/Golang/Spring, etc.
• Have directly led architecture & software design for one or more teams.
• Deep familiarity with Microservices, Cloud Native, Cloud technologies, Enterprise Patterns.
• Followed agile methodologies & implemented best practices for all stages of SDLC.
• Experience with CI/CD and other DevOps tools. Worked with APM and Observability tools.
• Working knowledge of designing distributed & streaming applications.

• Critical Thinking: Analyze problems objectively and make sound, data-driven decisions.
• Attention to Detail: Maintain accuracy across code, data, and deliverables.
• Quantitative Skills: Apply strong analytical and statistical methods to solve problems.
• Data Interpretation: Extract actionable insights from data, metrics, and visualizations.
• Communication: Clearly explain technical concepts to both technical and non-technical audiences.
• Learning Agility: Quickly adopt new tools, technologies, and best practices.
• Resilience: Adapt to shifting priorities and deliver under pressure.
• Integrity: Handle data responsibly and uphold engineering and ethical standards.

• Remaining in a stationary position, often standing or sitting for prolonged periods.
• Repeating motions that may include the wrists, hands, and/or fingers.
• This is a remote position - must be able to provide a dedicated, secure work area with reliable hi-speed internet.

Date of posting: 08/26/2026

Applications are assessed on a rolling basis. We anticipate that the application window will close on 08/29/2026, but the application window may change depending on the volume of applications received or close immediately if a qualified candidate is selected.

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