Software Architect AI SDLC Senior

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 Senior based in Brazil. As a Software Architect AI SDLC Senior, you will help transform the software development lifecycle through generative AI and agentic engineering practices. You will design, implement, and evolve AI-powered workflows that automate and enhance development activities from analysis through deployment. The role combines software engineering, AI infrastructure, cloud technologies, DevOps, and solution architecture in a highly collaborative environment. You will work closely with development squads and client stakeholders, translating business and technical challenges into scalable AI-enabled solutions. You will build custom agents, integrate them with delivery pipelines, and establish the infrastructure needed to bring AI-driven automation into production. Quality, security, compliance, responsible AI practices, and operational reliability will be central to the solutions you design and implement. This is an opportunity to play a key technical role in an AI transformation program while helping teams adopt new ways of engineering and delivering software. 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 Senior based in Brazil. As a Software Architect AI SDLC Senior, you will help transform the software development lifecycle through generative AI and agentic engineering practices. You will design, implement, and evolve AI-powered workflows that automate and enhance development activities from analysis through deployment. The role combines software engineering, AI infrastructure, cloud technologies, DevOps, and solution architecture in a highly collaborative environment. You will work closely with development squads and client stakeholders, translating business and technical challenges into scalable AI-enabled solutions. You will build custom agents, integrate them with delivery pipelines, and establish the infrastructure needed to bring AI-driven automation into production. Quality, security, compliance, responsible AI practices, and operational reliability will be central to the solutions you design and implement. This is an opportunity to play a key technical role in an AI transformation program while helping teams adopt new ways of engineering and delivering software. Accountabilities: Design, customize, configure, and continuously improve generative AI platforms for specific software development lifecycle needs, including skills, personas, prompts, and contextual configurations. Develop and maintain agentic workflows integrated with development and delivery pipelines using technologies such as Azure DevOps, Git, and CI/CD. Integrate AI agents across multiple stages of the SDLC, including analysis, requirements refinement, development, testing, and deployment. Tune agent parameters, prompts, and strategies to achieve optimal performance and reliable outcomes at each stage of the development lifecycle. Plan and execute the AI infrastructure roadmap in close collaboration with the AI Orchestrator and other technical stakeholders. Automate development activities while maintaining rigorous standards for code quality, security, testing, and compliance through 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 that AI-powered solutions follow appropriate ethical, regulatory, security, and governance standards. Work cross-functionally with multiple development squads, contributing to technical discussions, solution design, troubleshooting, and production incident resolution. Act as a technical partner to client stakeholders, helping translate objectives into effective AI-enabled engineering solutions and facilitating the adoption of agentic practices. Promote engineering and AI knowledge sharing across teams and contribute to a culture of continuous learning and innovation. Requirements: Solid professional experience in software development using Java, Python, or comparable programming languages. Practical familiarity with CI/CD pipelines and DevOps practices and tools, particularly Azure DevOps, GitFlow, and SonarQube. Hands-on experience with cloud computing, especially AWS services such as Lambda, SQS, and S3. Practical experience with generative AI tools applied to software development, such as Claude Code, GitHub Copilot, or similar solutions. Ability to write, review, and optimize prompts, configure AI agents, and evaluate the quality, reliability, and relevance of their outputs. Strong understanding of software quality practices, including automated testing, Behavior-Driven Development (BDD), and Static Application Security Testing (SAST). Excellent communication and stakeholder management skills, with the ability to understand client objectives, challenge assumptions constructively, and propose appropriate technical solutions. Proactive, resilient, and adaptable mindset, with the ability to work transversally across multiple teams, projects, and technical contexts. Genuine interest in generative AI and agentic models, with enthusiasm for continuously learning and sharing knowledge with engineering teams. Experience with agentic frameworks and methodologies such as AISDD, Spec-Kit, or similar approaches is an advantage. Knowledge of microservices architecture and frameworks such as Spring Boot or Quarkus is a plus. Familiarity with flow observability tools such as Flow Ops, Databricks, or similar technologies is desirable. Experience working on large-scale initiatives involving multiple teams or squads simultaneously is beneficial. Previous experience in benefits-related businesses or fintech environments is considered an advantage. Benefits: Health and dental insurance. Meal and food allowance. Childcare assistance. Extended parental leave. Access to fitness, health, and wellness professionals through Wellhub and TotalPass partnerships. Profit Sharing and Results (PLR) participation. Life insurance. Continuous learning opportunities through a dedicated corporate learning platform. Access to online courses and professional development resources. Language learning platform. Discounts through partner programs and benefit clubs. Online resources dedicated to physical health, mental health, and overall well-being. Courses focused on pregnancy and responsible parenthood. Support from dedicated health and well-being teams and inclusion specialists. Opportunities to participate in affinity groups and an inclusive workplace culture. If based in the Campinas Metropolitan Region, attendance at offices in the city is required according to the applicable workplace attendance 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. #LI-CL1