Senior Manager, AI Architecture

Job 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 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: Platform/Cloud Engineering Job Category: People Leader All Job Posting Locations: Raritan, New Jersey, United States of America Job Description: "Johnson & Johnson announced plans to separate our Orthopaedics business to establish a standalone orthopaedics company, operating as DePuy Synthes. The process of the planned separation is anticipated to be completed within 18 to 24 months, subject to legal requirements, including consultation with works councils and other employee representative bodies, as may be required, regulatory approvals and other customary conditions and approvals. Should you accept this position, it is anticipated that, following conclusion of the transaction, you would be an employee of DePuy Synthes and your employment would be governed by DePuy Synthes employment processes, programs, policies, and benefit plans. In that case, details of any planned changes would be provided to you by DePuy Synthes at an appropriate time and subject to any necessary consultation processes." Why this matters This role represents a rare opportunity to define and build the AI capabilities of a newly standalone company. You will shape how generative and agentic AI is designed, governed, reused and scaled at DePuy Synthes, while leading a team that turns emerging technologies and priority business needs into enterprise platforms, accelerators and strategic applications. What you'll do DePuy Synthes is seeking a Senior Manager, AI Architecture & Innovation to join the Architecture & Platforms team, reporting to the Sr. Director, Architecture & Platforms. You will lead the enterprise AI strategy and architecture, the AI Innovation Lab, and a distributed team of AI architects and engineers, including the GCC Innovation Squad in Bengaluru. Your primary focus will be strategy, architecture and innovation: defining the AI technology roadmap, establishing reference architectures and engineering patterns, evaluating emerging capabilities, and translating priority opportunities into practical enterprise solutions. You may also lead the design and delivery of strategic AI platforms, accelerators and applications, particularly where architectural continuity and technical depth are critical from concept through production. You will serve as the senior technical counterpart to portfolio, product, platform and business leaders, helping determine what should be built, how it should be architected, and when capabilities are ready for enterprise adoption and scale. You will build a technically strong team that can move from exploration and architecture through prototype, pilot and production, with clear transition points to long-term platform, product or application owners. How you'll make an impact AI Strategy & Architecture Define and evolve the enterprise AI strategy, architecture and roadmap across Databricks Mosaic AI, Amazon Bedrock, AgentCore, the enterprise model gateway and related services. Architect the agentic runtime, including agent orchestration and mesh, MCP tool and skill registries, Agent-to-Agent interoperability, agent identity, entitlements and secure tool execution. Design reusable context and knowledge services, including RAG and Graph RAG, vector stores, knowledge graphs such as Amazon Neptune, shared memory and context assembly. Establish patterns for LLMOps and MLOps, observability, evaluation, Responsible AI, security and AI cost management in partnership with platform and governance teams. Create a discoverable catalog of AI services, models, agents, tools, skills and reference patterns that teams can reuse across the enterprise. Guide architecture decisions across strategic AI applications, balancing speed, reuse, interoperability, regulatory requirements and long-term operability. Innovation & Strategic Delivery Lead the AI Innovation Lab and maintain an actionable innovation portfolio aligned to business strategy across Commercial, R&D, Supply Chain and Global Functions. Scout, evaluate and prototype emerging models, agent frameworks, protocols and development approaches, separating durable enterprise capabilities from short-lived technology trends. Lead capabilities through clear stage gates: explore, prototype, pilot and scale, with explicit criteria for investment, production readiness, adoption or termination. Own or direct delivery of selected strategic AI platforms, accelerators and applications when architectural continuity, innovation risk or cross-platform integration requires sustained technical leadership. Graduate successful prototypes into reusable platform capabilities or supported applications, with clear ownership, service expectations, documentation and operational handoff. Drive AI-enabled software development lifecycle automation, including coding assistants such as Claude, Microsoft Copilot and Codex, and persona-based agent workflows. Demonstrate working capabilities to senior leadership and translate technical outcomes into measurable business value and informed investment decisions. People & Technical Leadership Build, lead and develop a high-performing team of AI architects and engineers across US and GCC locations. Set priorities, technical direction, engineering standards and quality expectations for the AI Innovation Lab and GCC Innovation Squad. Remain sufficiently close to the technology to challenge architecture and engineering decisions, review critical designs and guide teams through complex implementation trade-offs. Develop talent through coaching, mentoring, technical reviews and challenging assignments, while building succession and critical skill depth. Align capacity to the highest-value strategic priorities and establish the appropriate balance among research, architecture, prototyping and production delivery. Lead distributed teams and influence partner organizations, vendors and stakeholders without relying solely on direct authority. Architecture Leadership & Governance Serve as a core member of the Architecture Review Board and ensure AI solutions follow enterprise architecture standards, cybersecurity requirements and Responsible AI guardrails. Partner with Architecture Standards & Responsible AI, Data & AI Platforms, Cybersecurity, Product and domain architecture teams to convert priority use cases into reusable solutions. Define decision rights and transition points among innovation, platform and product teams to avoid unclear ownership or unsupported production solutions. Contribute to vendor strategy, technical due diligence and partnerships with AI providers, startups, academia and the broader technology ecosystem. Measures of Impact Business value and adoption generated by AI platforms, accelerators and strategic applications. Priority capabilities progressed from idea to prototype, pilot and production with clear evidence-based decisions at each stage. Reuse of common services, reference patterns, agents, tools and accelerators across business domains. Reduction in time from opportunity identification to working prototype and from validated pilot to sc