Full Stack AI Engineering
Há 13 horas
At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at
Job Function:
Technology Product & Platform Management
Job Sub Function:
Functional Engineering
Job Category:
Scientific/Technology
All Job Posting Locations:
São José dos Campos, São Paulo, Brazil
Job Description:
We are looking for a Full Stack AI Engineering & Architecture Manager in Sao Jose dos Campos
Purpose: Drive the solution engineering & architecture and delivery of regional-grade, AI-enabled full-stack solutions. This role combines strategic oversight with technical leadership, ensuring scalable, secure, and compliant architectures that leverage modern web technologies and emerging AI frameworks.
Key Responsibilities- Define and execute the architecture roadmap for full-stack and AI-driven applications.
- Design reference architectures, reusable frameworks, and integration patterns for cloud-native deployments (AWS/Azure, Docker, Kubernetes, IaC).
- Be responsible for solution design to meet functional and non-functional requirements: scalability, security, compliance, and audit readiness.
- Guide implementation of LLM-powered features, generative AI, and automation frameworks.
- Lead engineering squads: review architecture/design, and mentor on best practices.
- Ensure operational excellence through CI/CD, DevOps automation, and observability.
- Bachelor's in Computer Science or related field; Master's preferred.
- 8+ years in software engineering, including architecture and leadership experience.
- Expertise in solution architecture for full-stack systems: React, , relational/NoSQL databases.
- Expertise in Cloud and DevOps: AWS/Azure, Docker, Kubernetes, IaC (Terraform/CloudFormation).
- Experience with AI/LLM frameworks (LangChain, LangGraph) and emerging technologies.
- Strong communication and stakeholder management skills.
Required Skills:
Preferred Skills:
Capacity Leveling, Collaborating, Consulting, Contingency Planning, Controls Compliance, Critical Thinking, Human-Computer Interaction (HCI), IT Service Continuity Management (ITSCM), Management Systems Implementation, Organizing, Performance Measurement, Software Development Management, Tactical Planning, Technical Credibility, Technical Development, Technical Writing, Technologically Savvy
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