AI Architecture & Innovation Lead

Biopharma Asia; Raritan (NJ); Presencial; USD 140.000 - 242.000; Jornada completa

Descripción de la vacante

Johnson & Johnson seeks a Senior Manager, AI Architecture & Innovation to lead the enterprise AI strategy and architecture across major platforms. You will guide a distributed team of AI architects and engineers, shaping reference architectures, patterns and production-grade solutions.

You will collaborate with business leaders to translate opportunities into practical enterprise AI capabilities, ensuring governance, security and cost efficiency.

Formación

• Bachelor's degree in Computer Science, Engineering or a related technical field.
• 15+ years of experience across software, data and AI engineering, including enterprise-scale platforms and distributed systems.
• 5+ years in architecture or senior technical leadership roles responsible for platform strategy, target-state architecture and major technology decisions.
• 3+ years of people leadership or direct accountability for leading multidisciplinary architecture and engineering teams.
• 2+ years designing, building or leading generative and agentic AI capabilities in production.
• Hands-on technical foundation in LLM integration, multi-agent orchestration, RAG and Graph RAG, tool calling, MCP/A2A, AI gateways, evaluation and vector databases.
• Strong data platform background, including Databricks, lakehouse architectures, Spark, Kafka or streaming, data products and governed data access.
• Cloud architecture experience on AWS preferred, or Azure/GCP, together with Kubernetes, containers, CI/CD and Infrastructure-as-Code.
• Working proficiency in Python, SQL and APIs, with the technical depth to inspect code, evaluate prototypes and guide architecture and engineering decisions.
• A track record of taking AI platforms, accelerators or strategic applications from 0 to 1 and establishing a path to enterprise scale with measurable outcomes.
• Experience managing distributed or offshore teams and influencing across architecture, product, platform, security and business organizations.

Responsabilidades

• Define and evolve the enterprise AI strategy, architecture and roadmap across multiple AI platforms.
• Architect the agentic runtime, including agent orchestration and mesh, MCP tool and skill registries.
• Design reusable context and knowledge services, including RAG and Graph RAG.
• Establish patterns for LLMOps and MLOps, observability, evaluation and Responsible AI.
• Create a discoverable catalog of AI services, models, agents, tools and reference patterns.
• Guide architecture decisions across strategic AI applications for enterprise adoption and scale.
• Lead the AI Innovation Lab and maintain an actionable innovation portfolio aligned to business strategy.
• Scout, evaluate and prototype emerging models, agent frameworks and development approaches.
• Lead capabilities through stages: explore, prototype, pilot and scale with clear criteria.
• Own or direct delivery of strategic AI platforms, accelerators and applications when needed.
• Graduate prototypes into reusable platform capabilities with ownership and handoff.
• Drive AI-enabled SDLC automation including tools like Claude Copilot Codex.
• Demonstrate capabilities to senior leadership and translate technical outcomes into business value.
• Build and develop a high-performing team of AI architects and engineers across locations.

Conocimientos

Bachelor's degree in Computer Science,

15+ years experience

5+ years architecture/leadership

3+ years people leadership

2+ years generative AI experience

LLM integration & multi-agent

Databricks/Lakehouse

Cloud AWS/Azure/GCP

Python/SQL/APIs

AI platforms from 0 to 1

Distributed/offshore teams

Educación

Master's or PhD in CS/ML

Herramientas

Databricks

Mosaic AI

AWS/Azure/GCP

Descripción del empleo

Johnson & Johnson seeks a Senior Manager, AI Architecture & Innovation to lead the enterprise AI strategy and architecture across major platforms. You will guide a distributed team of AI architects and engineers, shaping reference architectures, patterns and production-grade solutions.

You will collaborate with business leaders to translate opportunities into practical enterprise AI capabilities, ensuring governance, security and cost efficiency.