Lead Engineer, Digital Front Door AI

Jj · São José dos Campos, São Paulo, Brazil, Brasil

há 5 dias

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A vaga é em São José dos Campos, São Paulo, Brazil, Brasil.

A vaga não divulga o salário.

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Publicada por Jj e vigente desde 5 de novembro de 2026.

Descrição da vaga

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 jnj.com .

As guided by Our Credo, Johnson & Johnson is responsible to our employees who work with us throughout the world. We provide an inclusive work environment where each person is considered as an individual. At Johnson & Johnson, we respect the diversity and dignity of our employees and recognize their merit.

Job Function:

Technology Product & Platform Management

Job Sub Function:

Technical Product Management

Job Category:

Scientific/Technology

All Job Posting Locations:

São José dos Campos, São Paulo, Brazil

Job Description:

The Lead Engineer, Digital Front Door AI will serve as the technical engineering leader for AI capabilities delivered through the Digital Front Door, owning key engineering and architectural decisions and helping shape the technical vision and roadmap. This role combines hands-on AI/software engineering with technical leadership, partnering with Product Management, architects, engineers, enterprise platforms, and HR stakeholders to translate business needs into scalable, secure, reusable AI solutions.

Consistent with the Product Lead Engineer role, this position is expected to solve complex engineering challenges while ensuring implementation aligns with architecture direction, technology roadmaps, engineering standards, and business needs

Key Responsibilities

AI Engineering, Architecture & Delivery

Own the technical engineering direction, and key technology decisions for Digital Front Door AI capabilities.

Lead the design, development, integration, deployment, and scaling of enterprise AI applications, agents, copilots, and automation supporting HR and employee experiences.

Maintain a strong hands-on engineering presence , developing and reviewing code, prototypes, integrations, technical enablers, and solution designs.

Establish reusable and modular engineering patterns that enable AI capabilities to scale across use cases ensuring quality, maintainability, and speed of delivery.

Drive technical solution evaluation and selection, balancing business requirements, architecture standards, scalability, security, cost, performance, and long-term strategic fit.

Establish and promote leading engineering practices across development, testing, CI/CD, observability, performance, reliability, and operational support.

Product Partnership & Technical Leadership

Partner closely with Product Management and HR stakeholders to translate the Digital Front Door vision and business priorities into technical capabilities

Guide technical discovery, solution design, experimentation, backlog priorities, architectural decisions, and engineering trade-offs.

Partner with architects, enterprise platform teams, Product Owners, Lead Engineers, and other engineering teams to ensure alignment across products and platforms.

Help prioritize technical backlogs, address technical debt, and balance near-term product needs with long-term architecture and engineering objectives.

Identify and manage technical risks, impediments, and cross-product or cross-platform dependencies.

Evaluate emerging AI technologies and conduct rapid experiments or technical spikes to determine their applicability to Digital Front Door use cases.

Technology Lifecycle, Governance & Responsible AI

Own technical lifecycle considerations for Digital Front Door AI capabilities, including architecture evolution, integrations, APIs, technical debt, performance, and sustainability.

Ensure AI solutions meet a

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