Forward Deployed Engineer (Agentic AI) in Brazil, Indiana at Jobgether

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Forward Deployed Engineer (Agentic AI) in Brazil.

This is a highly hands-on, client-embedded engineering role focused on designing and delivering production-grade agentic AI systems for enterprise environments. You will work directly with large organizations to translate complex business challenges into scalable AI-driven solutions that operate in real production settings. The role spans architecture design, full-stack implementation, and deployment within regulated enterprise infrastructures. You will build and integrate agentic systems across platforms, ensuring reliability, governance, and measurable business impact. Operating as a trusted technical advisor, you will collaborate closely with engineering, data, security, and executive stakeholders. This position combines deep engineering execution with real-world client impact in fast-evolving AI environments, requiring autonomy, adaptability, and strong problem-solving skills.

• Lead technical discovery sessions with enterprise clients to define agentic AI use cases and translate business problems into measurable engineering outcomes.
• Design end-to-end architectures for agentic systems, selecting appropriate platforms and ensuring alignment with client infrastructure, governance, and compliance requirements.
• Develop production-grade code and deploy solutions within client environments, including CI/CD pipelines, source control systems, and enterprise release processes.
• Build and optimize retrieval-augmented generation pipelines, prompt engineering frameworks, agent orchestration, and human-in-the-loop controls.
• Implement secure agent execution mechanisms, including permission controls, audit trails, approval gates, and rollback capabilities for system actions.
• Design and maintain evaluation and observability frameworks to monitor system performance, accuracy, latency, drift, and reliability in production.
• Lead system cutover, production stabilization, and structured handover to support teams, while remaining available for escalation and architectural guidance.
• Collaborate with cross-functional stakeholders and convert field learnings into reusable frameworks, accelerators, and reference architectures.

• 8+ years of software engineering experience in production environments, with strong exposure to enterprise systems.
• 2+ years of hands-on experience delivering AI/ML or LLM-based systems into production, including agentic AI solutions.
• Proven experience working with Fortune 500 or Global 2000 clients in complex, ambiguous environments.
• Strong proficiency in Python plus at least one additional language such as Java, TypeScript, Go, C#, or Scala.
• Deep understanding of agentic AI concepts, including RAG, embeddings, vector databases, orchestration, and prompt engineering.
• Experience with enterprise systems such as SAP, Oracle, ServiceNow, Salesforce, Workday, or similar platforms.
• Strong knowledge of system integration patterns (REST, event-driven architectures) and identity protocols (OIDC, SAML).
• Experience with AI observability and evaluation frameworks, including hallucination detection, drift monitoring, and performance metrics.
• Familiarity with agent platforms such as AWS Bedrock, Azure AI, Google Vertex AI, or ServiceNow AI.
• Experience with secure agent tool execution, including governance, scoped permissions, and auditability.
• Strong communication skills with ability to engage both technical teams and executive stakeholders.
• Bachelor’s degree in Computer Science, Engineering, or related field, or equivalent practical experience.
• Availability for occasional travel (~25%) for client engagement.

• Fully remote or hybrid work model based in Brazil (São Paulo office option available).
• Opportunity to work on cutting-edge agentic AI systems with global enterprise clients.
• High-impact role directly influencing production AI deployments in real-world environments.
• Exposure to multiple enterprise platforms and advanced AI architectures.
• Career growth in a rapidly evolving field at the intersection of AI and enterprise engineering.
• Collaborative, innovation-driven environment with strong technical ownership.
• Opportunity for international collaboration and client-facing engineering experience.