Sênior, AI Architect- Agentic SDLC at Jobgether

, , Brazil -

Full Time

Start Date

Immediate

Expiry Date

19 Oct, 26

Salary

0.0

Posted On

21 Jul, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AI Architecture, Agentic Workflows, Generative AI, Python, Java, Azure DevOps, AWS, CI/CD, Prompt Engineering, Software Architecture, BDD, SAST, Microservices, Spring Boot, Quarkus, GitFlow

Industry

Internet Marketplace Platforms

Description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Sênior, AI Architect- Agentic SDLC based in Brazil. This role is designed for a senior technology professional passionate about artificial intelligence, software engineering, and the future of development workflows. You will help design and implement AI-driven systems that transform the software development lifecycle through intelligent automation and agent-based solutions. The position combines engineering expertise, cloud technologies, and generative AI to create scalable solutions used in real-world environments. You will collaborate with multidisciplinary teams to evolve AI capabilities, improve delivery processes, and establish new engineering standards. This is an opportunity to work on innovative initiatives involving AI agents, automation, and modern software architecture. The ideal candidate is curious, hands-on, and motivated by solving complex technical challenges with emerging technologies. \n Accountabilities: The Senior AI Architect will be responsible for designing, implementing, and evolving agentic workflows that enhance software development processes through AI-powered automation while ensuring reliability, security, and quality. Customize and configure generative AI platforms according to software development lifecycle needs, including skills, personas, prompts, and contextual configurations. Develop and maintain AI agent workflows integrated with development pipelines, including Azure DevOps, Git, and CI/CD environments. Integrate AI agents across multiple stages of the SDLC, including analysis, refinement, development, testing, and deployment. Optimize agent configurations and strategies to improve performance and effectiveness across different development scenarios. Build and execute AI infrastructure roadmaps in collaboration with technical stakeholders. Automate development processes while maintaining high standards for quality, security, compliance, and governance. Identify and mitigate technical risks related to the adoption of AI agents in production environments. Ensure AI solutions follow ethical guidelines, regulatory requirements, and responsible AI practices. Contribute to continuous improvements in engineering workflows and AI-driven development practices. Requirements: The ideal candidate has strong software engineering experience combined with practical knowledge of AI technologies, automation, and modern development practices. Solid experience in software development using languages such as Java, Python, or similar technologies. Experience working with CI/CD pipelines and DevOps tools such as Azure DevOps, GitFlow, and SonarQube. Practical experience with cloud computing environments, especially AWS services such as Lambda, SQS, and S3. Familiarity with generative AI tools applied to software development, such as Claude Code, GitHub Copilot, or similar solutions. Ability to create, refine, and evaluate prompts, configure AI agents, and assess output quality. Strong understanding of software quality practices, including automated testing, BDD, and SAST. Experience working with software architecture principles and scalable engineering solutions. Ability to collaborate effectively with technical teams and adapt to evolving requirements. Nice-to-have qualifications: Experience with agentic frameworks and methodologies such as AISDD, Spec-Kit, or similar approaches. Knowledge of microservices architecture using technologies such as Spring Boot or Quarkus. Familiarity with observability and workflow analysis tools such as Flow Ops, Databricks, or similar platforms. Experience working on large-scale projects involving multiple teams or squads. Previous experience in benefits, financial technology, or related industries. Benefits: Health and dental insurance. Meal and food allowance. Childcare assistance. Extended parental leave. Gym and wellness partnerships through Wellhub (Gympass) and TotalPass. Profit Sharing and Results Participation (PLR). Life insurance. Continuous learning platform and professional development opportunities. Discount club with partner benefits. Free online platform focused on physical, mental, and overall well-being. Pregnancy and responsible parenting courses. Partnerships with online learning platforms. Language learning platform. Additional benefits and initiatives focused on employee growth and well-being. \n 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

Responsibilities

Design and implement AI-driven agentic workflows to automate and enhance the software development lifecycle. Collaborate with multidisciplinary teams to establish engineering standards and integrate AI agents into CI/CD pipelines.