Staff Automation Engineer & AI Engineer in Brazil, Indiana at Jobgether

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Staff Automation Engineer & AI Engineer in Brazil.

This role sits at the intersection of automation, AI engineering, and enterprise architecture, with a strong emphasis on building scalable, secure, and intelligent systems that transform internal operations. You will act as the technical authority for automation strategy, defining standards, governance models, and reusable frameworks that power business-critical workflows across multiple domains. The position combines deep hands-on engineering with strategic leadership, influencing how automation and AI are designed, deployed, and operated at scale. You will work closely with business and technical stakeholders to translate operational needs into robust AI-driven solutions. Operating in a fast-paced, AI-first environment, you will shape the evolution of agentic workflows and intelligent automation practices. This is a highly impactful role where engineering excellence directly supports efficiency, compliance, and growth across the organization.

• Define the end-to-end automation operating model, including governance, intake, prioritization, lifecycle management, and support structures.
• Establish technical standards for observability, auditability, incident management, logging, metrics, and production support of critical automations.
• Design and govern AI and LLMOps practices, including prompt/version control, evaluation frameworks, human-in-the-loop patterns, and responsible AI usage.
• Architect reusable automation components, frameworks, connectors, and reference architectures to standardize and accelerate delivery.
• Lead the design and governance of workflow automation platforms (e.g., n8n), RPA solutions, and AI orchestration systems.
• Define integration standards, API contracts, and system interoperability patterns for scalable automation ecosystems.
• Drive cloud architecture decisions on AWS, ensuring scalability, resilience, security, and cost efficiency across automation workloads.
• Establish security, compliance, and risk management standards embedded into all automation and AI workflows.
• Stay hands-on in complex engineering work, including coding, architecture design, debugging, code reviews, and production support.
• Mentor engineers and promote best practices in automation, AI engineering, and secure software development.

• Degree in Computer Science, Engineering, or related technical discipline (or equivalent experience).
• Strong expertise in Python, including production-grade development and architectural design.
• Deep experience with workflow automation platforms (e.g., n8n or similar), including governance and scalable architecture design.
• Hands-on experience building AI orchestration systems using tools such as LangGraph, Langflow, CrewAI, Semantic Kernel, or similar.
• Strong knowledge of API design, integration patterns, and distributed system architecture.
• Advanced AWS experience, including cloud-native architecture for scalable and secure systems.
• Experience with RPA platforms (UiPath, Blue Prism, Automation Anywhere, or Power Automate) and clear decision-making on when to use RPA vs APIs or workflows.
• Strong understanding of containers, Docker, Kubernetes, serverless, and modern deployment models.
• Strong security mindset, including secure coding, data protection, and governance practices.
• Experience with AI-assisted development tools (e.g., GitHub Copilot, Cursor, Claude Code) and engineering enablement practices.
• FinOps awareness, with the ability to balance performance, scalability, and cost efficiency.
• Proven experience applying AI frameworks in real-world production systems.
• Strong strategic and communication skills, with the ability to influence technical and business stakeholders.
• Experience mentoring engineers and driving engineering culture around automation and AI adoption.
• Nice to have: familiarity with financial systems such as payments, credit, lending, fraud prevention, or compliance-driven workflows.

• Competitive and market-aligned salary.
• Fully remote work environment with flexibility to work from anywhere.
• Home office allowance provided monthly via a dedicated app.
• Comprehensive health and dental plans with no co-pay.
• Life insurance coverage.
• Flexible meal allowance.
• Fitness and wellness support through a gym membership program.
• Inclusive and diverse work culture that values different backgrounds and perspectives.
• Opportunity to work on high-impact AI and automation systems at scale.