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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 scaled capability.
- Architecture quality, production readiness, reliability, security and cost efficiency of strategically delivered AI capabilities.
- Team capability, technical depth, talent development and effectiveness across US and GCC resources.
- Innovation pipeline health, including the quality of opportunities, experiments concluded, capabilities scaled and low-value initiatives stopped early.
What you'll bring Required Qualifications - 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/Google Cloud Platform, 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.
Preferred Qualifications - Master's degree or PhD in Computer Science, Machine Learning or a related field.
- Experience in medical device, life sciences or another regulated industry, including familiarity with GxP, data privacy and validated systems.
- Experience building enterprise agent platforms, AI-enabled SDLC capabilities and reusable AI product or platform services.
- Relevant AWS, Databricks, AI architecture or cloud certifications.
- External thought leadership through conference speaking, publications, standards participation or AI community leadership.
Other - Language: English proficiency required.
- Certifications: Relevant AI or cloud architecture certifications preferred.
Required Skills:Preferred Skills:Accessible Design, Agility Jumps, Business Alignment, Cloud Computing, Cloud Migrations, Cloud Security, Collaboration, Compliance Management, Developing Others, Human-Computer Interaction (HCI), Hybrid Clouds, Inclusive Leadership, Leadership, Multi Cloud Models, Risk Management, Software Development Management, Tactical Planning, Team Management
The anticipated base pay range for this position is :$140,000.00 - $241,500.00
Additional Description for Pay Transparency:
Subject to the terms of their respective plans, employees are eligible to participate in the Company's consolidated retirement plan (pension) and savings plan (401(k)).
Subject to the terms of their respective policies and date of hire, employees are eligible for the following time off benefits:
Vacation -120 hours per calendar year
Sick time - 40 hours per calendar year; for employees who reside in the State of Colorado -48 hours per calendar year; for employees who reside in the State of Washington -56 hours per calendar year
Holiday pay, including Floating Holidays -13 days per calendar year
Work, Personal and Family Time - up to 40 hours per calendar year
Parental Leave - 480 hours within one year of the birth/adoption/foster care of a child
Bereavement Leave - 240 hours for an immediate family member: 40 hours for an extended family member per calendar year
Caregiver Leave - 80 hours in a 52-week rolling period10 days
Volunteer Leave - 32 hours per calendar year
Military Spouse Time-Off - 80 hours per calendar year
For additional general information on Company benefits, please go to:
