Especialista - Arquiteto de Negócio e Solução​

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Especialista - Arquiteto de Negócio e Solução based in Brazil.

This role will serve as a key architecture reference within an Internal Audit environment that is transforming risk and control monitoring through data, automation, and artificial intelligence. You will shape business and solution architectures, connecting strategic objectives with modern technology capabilities and scalable engineering practices. The position combines business architecture, enterprise architecture, solution design, and emerging AI technologies. You will help define how AI agents, data platforms, cloud services, and business capabilities come together across the organization. Success will require strong influence, clear communication, and the ability to translate complex technical concepts into meaningful business outcomes. This is an opportunity to drive architectural evolution in a highly regulated, technology-driven environment while contributing to innovative solutions with broad organizational impact.

Accountabilities:

• Lead, guide, and mentor the design of business solutions, ensuring that the functional and technical responsibilities of components and integrations are aligned with enterprise architecture principles and strategic objectives.
• Communicate the current-state business architecture and contribute to the definition of the future state, developing roadmaps in partnership with business and engineering teams and ensuring that architectural evolution supports organizational priorities.
• Capture value streams and the business capabilities involved in strategic initiatives, connecting business needs, capabilities, and technology decisions to the broader strategic plan.
• Define the architectural vision for the adoption of AI agents within Internal Audit, determining where and how agentic capabilities should integrate with business capabilities and the broader corporate technology ecosystem.
• Document business context and technical architecture using corporate architecture tools, producing standardized architectural outputs that guide technology and solution decisions for new projects.
• Increase solution efficiency by identifying opportunities to reuse existing capabilities and functionalities, while managing reference architectures throughout their lifecycle, from creation and adoption through to retirement.
• Present and defend proposed solutions in architecture governance forums, addressing business, solution, technology, integration, data, infrastructure, and security domains while clearly communicating architectural trade-offs and recommendations.
• Identify, document, and monitor technical debt in accordance with established architecture governance practices, helping ensure that architectural risks and long-term sustainability are actively managed.

Requirements

• Demonstrated experience as a Business Architect, Solution Architect, Enterprise Architect, or in a comparable senior architecture role within financial institutions or other large, highly regulated environments.
• Strong conceptual and practical knowledge of enterprise architecture frameworks such as BIAN, TOGAF, Zachman, or equivalent methodologies, with the ability to apply them to complex organizational environments.
• Advanced hands-on experience with ArchiMate modeling and architecture tools such as Archi or Bizzdesign, including the ability to communicate business, application, technology, and capability perspectives through standardized models.
• Strong command of the C4 Model, particularly context and container diagrams, and the ability to use architectural modeling to communicate complex solution landscapes clearly.
• Solid knowledge of modern software architecture patterns, including microservices, REST APIs, Domain-Driven Design, event-driven architecture, and cloud-native applications.
• Practical understanding of Generative AI architectures and agentic systems, including LLMs, Retrieval-Augmented Generation, multi-agent orchestration using technologies such as LangGraph or CrewAI, and agent harness concepts.
• Excellent communication and influencing skills, with the ability to translate complex technical challenges into business language and translate strategic business needs into actionable architectural decisions.
• Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field.
• Proven ability to lead through influence and operate effectively as a strategic interface between engineering teams, business stakeholders, and senior management.
• Experience with market-recognized certifications such as TOGAF, BIAN Foundation, AWS Solutions Architect Professional, or GCP Solutions Architect Professional is considered an advantage.
• Familiarity with Internal Audit, Governance, Risk and Compliance (GRC), or Internal Controls is considered a plus, particularly within financial or regulated environments.
• Experience with agentification initiatives, agent evaluation or evaluation harnesses, and GenAIOps practices is desirable.
• Knowledge of cloud-based AI platforms such as Vertex AI Agent Builder or equivalent technologies is an additional advantage.

Benefits

• Opportunity to work on high-impact architecture initiatives involving data, automation, Generative AI, AI agents, cloud technologies, and enterprise architecture.
• Strategic exposure to business and engineering leadership, with the opportunity to influence architectural decisions across multiple organizational domains.
• Hands-on involvement in emerging agentic AI capabilities, including AI orchestration, evaluation, and enterprise adoption.
• Exposure to complex architecture challenges spanning business capabilities, applications, integration, data, infrastructure, technology, and security.
• Opportunity to contribute to the modernization of Internal Audit through scalable, innovative, and technology-driven solutions.
• Collaborative environment that values technical leadership, knowledge sharing, and leadership through influence.
• Inclusive workplace that welcomes professionals from diverse backgrounds and encourages applications from underrepresented communities.

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