Application Architect

Position Focus The Application Architect ensures that our software platform and solutions maintain interoperability and velocity across all implementation teams. In our evolving engineering culture, architecture is a shared practice focused on making "hard-to-change decisions". You will help shift our architecture from a centralized bottleneck to an interactive, "pull-based" capability, enabling developers to build polyglot services that behave as first-class citizens in our ecosystem.

Key Responsibilities

Execution & Agentic Enablement

• Design & Document: Design application services and document interfaces, patterns, and decisions with a focus on agility, performance, maintainability, and interoperability.

• Codify the Architecture: Translate conceptual solutions into codified instructions and tuned markdown files for Agentic Enablement (IDE), allowing software engineers to dynamically "pull" architectural standards into their local workflow.

• Drive Validation: Define and refine validation rules and scoring mechanisms to ensure architectural intent (e.g., correct boundaries, policy metadata) is provably reflected in runtime behavior, not just in design artifacts.

Planning & Intake Shaping

• Early Shaping: Actively participate in the "Discover & Define" intake phase to evaluate incoming feature concepts against core solution domains. explicitly catching boundary violations before technical design hardens.

• Curate the Active State: Maintain application solution artifacts in centralized repositories, ensuring our body of knowledge reflects a single, coherent reality for both human consumers and evolving agentic systems.

Continuous Feedback & Operations

• Close the Loop: Actively participate in the Continuous Feedback Loop by translating operational realities, systemic architectural debt, and telemetry into actionable updates for our agentic instructions and platform backlogs.

• Align to Customer Value: Ensure the alignment of new capabilities to the customer's business objectives and assist in the strategic resolution of complex, cross-domain customer issues.

Creating a Culture of Trust & Mentorship

• Distribute Capability: Foster a culture of communication by mentoring staff engineers and technical leads, helping them apply architecture principles independently without requiring direct intervention for foundational issues.

• Collaborative Problem Solving: Engage directly with implementation, product, and design teams to solve complex design problems and ensure suitable collaboration across teams servicing single, customer-focused features.

Qualifications

• 8–12+ years of experience in software engineering, with significant experience in application or solution architecture roles

• Strong experience designing and building distributed systems, APIs, and service-based architectures (e.g., microservices, event-driven systems)

• Demonstrated ability to define and apply architecture principles, patterns, and standards that enable scalability, maintainability, and interoperability

• Experience working in polyglot environments, with familiarity across multiple programming languages and frameworks

• Experience working with or enabling AI-assisted development tools (e.g., code generation, copilots) or designing systems that support AI-driven workflows.

• Strong understanding of system boundaries, domain modeling, and service design, with the ability to identify and prevent architectural drift

• Experience collaborating with cross-functional teams (engineering, product, design) to shape solutions from concept through delivery

• Proven ability to influence and guide engineers and technical leads without direct authority

• Experience creating and maintaining clear technical documentation (e.g., architecture decisions, interface definitions, patterns)

• Strong problem-solving skills, with the ability to navigate ambiguity and make pragmatic design decisions

• Familiarity with modern development practices, including CI/CD, observability, and cloud-based platforms

• Experience using data and operational feedback to improve system design and reduce technical debt

• Excellent communication skills, with the ability to explain complex technical concepts to both technical and non-technical audiences

• Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent practical experience)

Life at Assent

Wellness: We believe that you and your family’s well being is important. As a result, we offer vacation time that increases with tenure, comprehensive benefits packages (details vary by country), life leave days and more.

Financial Benefits: It’s not all about the money – well, it’s a little about the money. We understand that financial health is important and we offer a competitive base salary, a corporate bonus program, retirement savings options and more.

Life at Assent: There is purpose beyond your work. We provide our team members with flexible work options, volunteer days and opportunities to get involved in corporate giving initiatives.

Lifelong Learning: At Assent, curiosity is not only valued but encouraged. You will receive professional development days that are available to you the day you start.

At Assent, we are committed to growing and sustaining an environment where our team members feel included, valued, and heard. Our diversity and equal opportunity practices are guided and championed by our Diversity and Inclusion Working Group and our Employee Resource Groups (ERGs).

Our commitment to diversity, equity and inclusion includes recruiting and retaining team members from diverse backgrounds and experiences, and fostering a culture of belonging where all team members are included, treated with dignity and respect, promoted on their merits, and placed in positions to contribute to business success.

If you require assistance or accommodation throughout any part of the interview and selection process, please contact [email protected] and we will be happy to help.

We use AI to support parts of our recruitment process, such as note-taking and initial shortlisting based on job-related qualifications. AI does not make hiring decisions. All candidates will speak with a real person, and final decisions are always made by our recruitment team.