Software Architect AI SDLC

Jobgether SRL; Brasil; Teletrabalho; BRL 240 000 - 360 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Health insurance

Meal allowance

Continuous learning

Remote work policy

Resumo da oferta

Jobgether SRL is seeking a Software Architect AI SDLC based in Brazil, working remotely with Campinas office attendance per policy. You will design and evolve AI-driven workflows across SDLC stages, and collaborate with stakeholders to translate AI capabilities into scalable, production-ready solutions.

You will integrate generative AI tools with cloud platforms and DevOps pipelines, optimize AI agents, ensure quality, security, and governance, and help shape the AI infrastructure roadmap for

Qualificações

• Strong software development experience in Java or Python.
• Experience with CI/CD pipelines and DevOps practices, particularly Azure DevOps, GitFlow, and SonarQube.
• Cloud computing experience, especially with AWS services such as Lambda, SQS, and S3.
• Hands-on experience with generative AI tools applied to software development.
• Ability to write, refine, and review prompts, configure AI agents, and evaluate AI outputs.
• Knowledge of software quality practices, including automated testing, BDD, and SAST.
• Strong architectural and problem-solving capabilities for scalable solutions.
• Excellent collaboration and communication with technical teams.
• Experience with agentic frameworks like AISDD or Spec-Kit is a plus.
• Knowledge of microservices (Spring Boot/Quarkus) desirable.
• Familiarity with flow observability tools is a plus.
• Experience in large-scale multi-team initiatives is a plus.
• Background in fintech or benefits sector desirable.

Responsabilidades

• Design, implement, and evolve AI-driven workflows across SDLC stages.
• Customize generative AI platforms for SDLC requirements including prompts and context.
• Develop AI-driven workflows integrated with pipelines like Azure DevOps, Git, and CI/CD.
• Integrate AI agents across analysis, requirements, development, testing, and deployment.
• Tune agent parameters to optimize performance and output quality.
• Plan and execute the AI infrastructure roadmap with stakeholders.
• Automate development activities while ensuring security, compliance, and testing standards.
• Identify risks of deploying AI agents in production and mitigate them.
• Ensure AI-enabled solutions meet ethical and governance standards.
• Collaborate across teams to continuously improve AI-assisted practices.

Conhecimentos

Java

Python

CI/CD

DevOps

Azure DevOps

Cloud AWS

Generative AI

Prompts and AI agents

Software architecture

SAST

Communication

Ferramentas

Azure DevOps

Descrição da oferta de emprego

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Software Architect AI SDLC based in Brazil.

This role offers the opportunity to shape the future of software development by integrating generative AI and agentic workflows into the Software Development Life Cycle (SDLC).

You will design, implement, and evolve AI-driven workflows that support development teams across analysis, testing, deployment, and delivery.

The position combines software architecture, cloud engineering, DevOps, and practical applications of generative AI.

You will work closely with technical stakeholders to turn AI capabilities into secure, scalable, and production-ready solutions.

A key focus will be optimizing AI agents while maintaining high standards for quality, security, compliance, and reliability.

You will contribute to an evolving AI infrastructure roadmap and help identify opportunities to automate development processes.

The role is fully remote, with office attendance required for professionals living in the Campinas metropolitan area according to the applicable policy.

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.