{"id":3855912,"url":"https://alion.io/job/johnson-johnson-lead-engineer-digital-front-door-ai","title":"Lead Engineer, Digital Front Door AI","company":{"id":14152,"name":"Johnson & Johnson","domain":"jnj.com","url":"https://alion.io/company/jnj","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":90,"open_postings":235,"ghost_share":0,"stale_share":0.613,"repost_share":0.004,"time_to_fill_p50_days":11,"computed_at":"2026-11-10T06:52:35Z"}},"role":"Industrial Engineering","role_family":"Industrial Engineering","seniority":"lead","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["São José dos Campos, Brazil"],"countries":["BR"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"AI Agents","optional":false},{"name":"CI/CD","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"RAG","optional":false}],"status":"live","first_seen_at":"2026-11-05T00:00:00Z","employer_posted_date":"2026-11-05","last_verified_at":"2026-11-10T07:34:21Z","board_verified":true,"closed_at":null,"days_open":5,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":5},"description":"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.\nAs 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.\nJob Function:\nTechnology Product & Platform ManagementJob Sub Function:\nTechnical Product ManagementJob Category:\nScientific/TechnologyAll Job Posting Locations:\nSão José dos Campos, São Paulo, BrazilJob Description:\nThe 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.\nConsistent 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\nKey Responsibilities\nAI Engineering, Architecture & Delivery\nOwn the technical engineering direction, and key technology decisions for Digital Front Door AI capabilities.\nLead the design, development, integration, deployment, and scaling of enterprise AI applications, agents, copilots, and automation supporting HR and employee experiences.\nMaintain a strong hands-on engineering presence, developing and reviewing code, prototypes, integrations, technical enablers, and solution designs.\nEstablish reusable and modular engineering patterns that enable AI capabilities to scale across use cases ensuring quality, maintainability, and speed of delivery.\nDrive technical solution evaluation and selection, balancing business requirements, architecture standards, scalability, security, cost, performance, and long-term strategic fit.\nEstablish and promote leading engineering practices across development, testing, CI/CD, observability, performance, reliability, and operational support.\nProduct Partnership & Technical Leadership\nPartner closely with Product Management and HR stakeholders to translate the Digital Front Door vision and business priorities into technical capabilities\nGuide technical discovery, solution design, experimentation, backlog priorities, architectural decisions, and engineering trade-offs.\nPartner with architects, enterprise platform teams, Product Owners, Lead Engineers, and other engineering teams to ensure alignment across products and platforms.\nHelp prioritize technical backlogs, address technical debt, and balance near-term product needs with long-term architecture and engineering objectives.\nIdentify and manage technical risks, impediments, and cross-product or cross-platform dependencies.\nEvaluate emerging AI technologies and conduct rapid experiments or technical spikes to determine their applicability to Digital Front Door use cases.\nTechnology Lifecycle, Governance & Responsible AI\nOwn technical lifecycle considerations for Digital Front Door AI capabilities, including architecture evolution, integrations, APIs, technical debt, performance, and sustainability.\nEnsure AI solutions meet applicable enterprise architecture, cybersecurity, privacy, quality, compliance, and Responsible AI requirements.\nBuild appropriate evaluation, testing, monitoring, observability, and quality controls into AI solutions throughout their lifecycle.\nPartner with relevant architecture, security, privacy, compliance, enterprise platform, and vendor teams to resolve technical requirements and risks.\nSkills\nExperience in software engineering, AI engineering, solution architecture, and enterprise digital product delivery.\nDemonstrated experience designing and delivering enterprise AI applications, AI agents, copilots, intelligent automation, or related AI-enabled solutions.\nStrong hands-on software engineering capability and the ability to actively engage with engineers on architecture, design, code, and technical trade-offs.\nDeep knowledge of modern AI engineering concepts, including large language models (LLMs), agentic AI, orchestration, prompt engineering, retrieval-augmented generation (RAG), APIs, integrations, evaluation, and monitoring.\nExperience designing scalable integrations and services using APIs, cloud-native technologies, data platforms, and modern software engineering practices.\nExperience translating complex or evolving business requirements into scalable architecture, engineering strategy, and technical roadmaps.\nStrong understanding of SDLC practices, including CI/CD, automated testing, security, observability, and deployment practices.\nExperience working within Agile product development environments and managing technical priorities and dependencies across teams.\nPassion for applying AI to simplify HR services and create intuitive, scalable employee experiences.\nRequired Skills:\nPreferred Skills:\nAgile Product Development, AI Judgement Integration, Analytical Reasoning, Coaching, Collaboration, Competitive Landscape, Critical Thinking, Customer Alignment, Demand Forecasting, Human-Computer Interaction (HCI), Organizing, Product Development, Product Improvements, Product Strategies, Requirements Analysis, Research and Development, Software Development Life Cycle (SDLC), Software Development Management, Stakeholder Management, Technical Credibility, Technical Writing, Technologically 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