Application Architect, IT

Ascensus

Application Architect providing technical oversight for AI program, leading scrum teams in building production AI-enabled software. Transforming business needs into scalable technical solutions with hands-on engineering leadership across multiple teams.

Posted 6/5/2026full-timeDresher • Florida, Pennsylvania • 🇺🇸 United StatesSeniorLeadWebsite

Tech Stack

Tools & technologies

Distributed SystemsJavaScriptPythonSQLTypeScript

About the role

Key responsibilities & impact

Provide technical direction, architectural oversight, and hands-on engineering leadership across scrum teams building production AI-enabled software.
Translate business needs and platform strategy into practical, scalable, secure, and maintainable technical solutions.
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.
Help lead architecture across enterprise AI platform capabilities, LLM-powered agents and workflows, retrieval-augmented generation (RAG) patterns, model context protocol-style tool integrations, durable workflow and orchestration patterns, internal and external AI-enabled applications, secure integrations, observability, evaluation, testing, and production support patterns, AI-assisted engineering practices.

Requirements

What you’ll need

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, Observability, Cost awareness.
Experience guiding teams through technical design, estimation, implementation, and production readiness.
Strong troubleshooting and root-cause analysis skills across application code, integrations, logs, traces, telemetry, and production behavior.
Experience mentoring, coaching, and influencing engineers without requiring direct reporting authority.
Excellent communication skills with the ability to explain technical tradeoffs to engineers, product partners, business stakeholders, and senior leaders.
Comfort operating in ambiguous, fast-moving environments where AI capabilities, tools, and platform patterns continue to evolve.

Benefits

Comp & perks

Health insurance
401(k) matching
Flexible work hours
Paid time off
Remote work options

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

software engineeringAI-enabled applicationsproofs of conceptreference implementationsclean codeCI/CDautomated testingAPI designdistributed systemsprogramming languages

Soft Skills

technical leadershipcommunication skillstroubleshootingroot-cause analysismentoringcoachinginfluencinghands-on engineeringproblem-solvingadaptability

Certifications

Bachelor’s degree in Computer ScienceBachelor’s degree in Computer Information SystemsBachelor’s degree in Business Information Systems