Software Architect AI SDLC

Accountabilities Design, implement, and continuously improve agentic workflows that transform software development processes through AI.

Customize and configure generative AI platforms according to SDLC requirements, including skills, personas, prompts, and contextual information.

Develop and maintain AI-driven workflows integrated with development pipelines such as Azure DevOps, Git, and CI/CD environments.

Integrate AI agents across multiple stages of the SDLC, including analysis, requirements refinement, development, testing, and deployment.

Tune agent parameters, strategies, and workflows to optimize performance and output quality at each stage of development.

Plan and execute the AI infrastructure roadmap in collaboration with relevant technical stakeholders.

Automate software development activities while maintaining quality, security, compliance, and engineering standards using practices and tools such as SonarQube, Veracode, and test coverage.

Identify, assess, and mitigate technical risks associated with deploying AI agents in production environments.

Ensure AI-enabled solutions follow appropriate ethical, security, regulatory, and governance standards.

Collaborate across teams and contribute to the continuous improvement of AI-assisted software engineering practices.

Requirements

Solid professional experience in software development using Java, Python, or similar programming languages .

Experience with CI/CD pipelines and DevOps practices, particularly Azure DevOps, GitFlow, and SonarQube .

Practical cloud computing experience, especially with AWS services such as Lambda, SQS, and S3 .

Hands-on experience with generative AI tools applied to software development, such as Claude Code, GitHub Copilot, or similar technologies .

Ability to write, refine, and review prompts, configure AI agents, and evaluate the quality and reliability of AI-generated outputs.

Strong understanding of software quality practices, including automated testing, BDD, and SAST.

Strong architectural and problem-solving capabilities, with the ability to evaluate technical risks and design scalable solutions.

Ability to work collaboratively with technical teams while communicating complex concepts clearly.

Experience with agentic frameworks or methodologies such as AISDD, Spec-Kit, or similar is a plus.

Knowledge of microservices architectures and technologies such as Spring Boot or Quarkus is desirable.

Familiarity with flow observability tools such as Flow Ops, Databricks, or similar platforms is an advantage.

Experience working on large-scale initiatives involving multiple teams or squads simultaneously is a plus.

Previous experience in the benefits sector or fintech is desirable.

Benefits

Health and dental insurance.

Meal and food allowance.

Childcare assistance.

Extended parental leave.

Access to gyms and health and wellness professionals through Wellhub and TotalPass.

Profit Sharing and Results Participation (PLR).

Life insurance.

Continuous learning and professional development opportunities.

Access to online learning platforms.

Language-learning platform.

Discount club.

Free online platform focused on physical health, mental health, and overall well-being.

Pregnancy and responsible parenting course.

Inclusive health, well-being, and professional development initiatives.

Remote work arrangement, with office attendance required for candidates residing in the Campinas metropolitan area according to the applicable policy.

How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best!  Why Apply Through Jobgether? 

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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