Application Architect, IT - Architects

Requirements

• We are looking for a technical leader who can:
• Translate business needs into practical AI platform architecture.
• Provide technical direction across multiple scrum teams.
• Align implementation decisions with enterprise architecture and platform strategy.
• Guide teams building agents, RAG pipelines, workflows, tools, integrations, and AI-enabled applications.
• Establish reusable patterns, templates, reference implementations, and engineering standards.
• Review designs and coach teams toward secure, scalable, observable, and maintainable solutions.
• Stay actively connected to the codebase through code reviews, technical spikes, POCs, reference implementations, troubleshooting, and situational code contributions.
• Evaluate emerging AI tools, models, frameworks, orchestration patterns, and development practices.
• Translate technical exploration into practical guidance, demos, reusable examples, and implementation standards.
• Help teams resolve technical impediments and production issues.
• Promote consistency and reuse across teams without slowing delivery.
• Communicate clearly with technical and non-technical stakeholders.
• Required Qualifications
• 8+ years of professional software engineering experience.
• 2+ years in a technical lead, application architect, solution architect, staff engineer, or comparable technical leadership role.
• Bachelor's degree in Computer Science, Computer Information Systems, Business Information Systems, a related technical field, or equivalent practical experience.
• Strong experience designing, building, and supporting production software in medium to large business environments.
• Demonstrated ability to remain hands-on with the codebase through code reviews, proof-of-concept development, technical spikes, complex troubleshooting, and direct code contributions.
• Experience building proofs of concept, reference implementations, technical demos, templates, or reusable engineering patterns.
• Strong experience with modern software engineering practices, including: Clean code
• Source control
• CI/CD
• Automated testing
• Design patterns
• Refactoring
• API design
• Observability
• Production support
• Strong experience with one or more modern programming languages and platforms, such as: Python
• JavaScript / TypeScript
• SQL
• Similar modern development platforms
• Experience designing distributed systems, service integrations, APIs, workflow logic, or platform capabilities.
• Experience with LLM-powered systems or AI-enabled applications, such as: RAG
• Chatbots
• Agent workflows
• Prompt engineering
• Tool use
• AI-assisted application development
• Strong understanding of architecture principles, including: Modularity
• Reusability
• Scalability
• Reliability
• Security
• Maintainability
• Cost awarene

Additional Information

Application Architect, Enterprise AI Program Position Summary As an Application Architect in the Enterprise AI Program, you will provide technical direction, architectural oversight, and hands-on engineering leadership across scrum teams building production AI-enabled software. This role sits between enterprise/program architecture and delivery teams, helping translate business needs and platform strategy into practical, scalable, secure, and maintainable technical solutions. This is a senior technical leadership role for someone who can: Shape architecture and implementation patterns Guide teams building AI-enabled applications, agents, workflows, and integrations Validate technical direction through code, demos, and proofs of concept Establish reusable patterns, templates, and reference implementations Stay close to the codebase through code reviews, technical spikes, troubleshooting, and situational code contributions Evaluate emerging AI technologies and educate the team through practical examples This role is not a full-time feature development position, but it is also not a hands-off architecture role. The Application Architect is expected to remain technically close to the platform and contribute directly when architectural complexity, delivery risk, production issues, or emerging platform patterns require senior technical involvement. You will help lead architecture across: Enterprise AI platform capabilities LLM-powered agents and agent workflows Retrieval-augmented generation, or RAG, patterns Model Context Protocol-style tool integrations Durable workflow and orchestration patterns Internal and external AI-enabled applications Secure integrations with Salesforce and internal Ascensus systems Observability, evaluation, testing, and production support patterns AI-assisted engineering practices using tools such as Cursor, Claude Code, or similar platforms We are looking for an architect who is practical, hands-on, delivery-oriented, and deeply curious about where AI engineering is headed. You should be able to set direction without creating unnecessary complexity, mentor engineers without becoming a bottleneck, and turn emerging technology into working examples that help teams move faster with confidence.

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