Senior Principal, Platform Engineering
Johnson & Johnson
August 25, 2026
Remote friendly (Titusville, NJ)
United States
IT
Senior Principal Platform Engineer (AI Next Frontier (AINF) Workbench)
Location: Titusville, NJ or Horsham, PA. Travel up to 10% within NJ/PA and occasionally across North America.
Role & Responsibilities:
- Define/evolve technical architecture and engineering strategy for AINF Workbench platform.
- Build shared-service integration and full-stack requirements for adoption at scale (gateway services, runtime capabilities).
- Create foundational frameworks, SDKs, APIs, and developer platforms.
- Lead reusable agent frameworks, skills definition, and agent integration strategies.
- Establish enterprise interoperability standards (MCP, A2A, A2UI).
- Create a reusable catalog of AI services/tools/agents/business capabilities.
- Partner with AI Core to implement governed agent execution, observability, security controls, discoverability, and platform operations.
- Ensure interoperability with broader enterprise ecosystem via APIs/standardized contracts.
- Define engineering quality metrics (reuse, adoption, reliability, velocity, productivity, AI effectiveness).
- Build an engineering organization to support long-term AINF roadmap (AI channels, AI production, autonomous execution, enterprise adoption).
Required Qualifications:
- 10+ years enterprise software engineering (digital products/platforms/distributed systems)
- 7+ years lead/principal/engineering lead for platform architecture/strategy
- 2+ years developing/using AI agents and orchestration platforms
- Platform modernization + enterprise engineering standards
- Reusable platforms/frameworks/SDKs over standalone apps
- Regulated/complex enterprise experience
- Cloud-native AWS expertise (API Gateway, Lambda, EKS, EC2, SNS/SQS, EventBridge, DynamoDB, RDS, S3, CloudFront, CloudWatch, IAM, Secrets Manager)
- Modern cloud-native dev: TypeScript, NodeJS, NestJS, React, NextJS, GraphQL, REST, SSR/SSG/CSR
- Enterprise AI ecosystems: LLM integrations, multi-agent systems, orchestration, RAG, tool-calling, context engineering, AI observability/governance, A2A, MCP integrations
- Hands-on: Git, Jenkins, Terraform, Kubernetes, Docker, IaC; platform observability; deep XENA platform knowledge
Preferred Qualifications:
- Pharmaceutical/healthcare/regulated industry experience
- Enterprise agent platforms; Internal Developer Platforms (IDPs)
- Reusable enterprise SDKs/framework libraries
- Influence senior executives/stakeholders; lead organizational transformation
Required Base Pay Range (anticipated): $137,000–$236,325
Benefits (as stated): medical, dental, vision, life insurance, short-/long-term disability, business accident, group legal; retirement pension + 401(k); vacation, sick time, holidays/floating holidays, work/personal/family time, parental leave, condolence, caregiver, volunteer, military spouse time-off.
Location: Titusville, NJ or Horsham, PA. Travel up to 10% within NJ/PA and occasionally across North America.
Role & Responsibilities:
- Define/evolve technical architecture and engineering strategy for AINF Workbench platform.
- Build shared-service integration and full-stack requirements for adoption at scale (gateway services, runtime capabilities).
- Create foundational frameworks, SDKs, APIs, and developer platforms.
- Lead reusable agent frameworks, skills definition, and agent integration strategies.
- Establish enterprise interoperability standards (MCP, A2A, A2UI).
- Create a reusable catalog of AI services/tools/agents/business capabilities.
- Partner with AI Core to implement governed agent execution, observability, security controls, discoverability, and platform operations.
- Ensure interoperability with broader enterprise ecosystem via APIs/standardized contracts.
- Define engineering quality metrics (reuse, adoption, reliability, velocity, productivity, AI effectiveness).
- Build an engineering organization to support long-term AINF roadmap (AI channels, AI production, autonomous execution, enterprise adoption).
Required Qualifications:
- 10+ years enterprise software engineering (digital products/platforms/distributed systems)
- 7+ years lead/principal/engineering lead for platform architecture/strategy
- 2+ years developing/using AI agents and orchestration platforms
- Platform modernization + enterprise engineering standards
- Reusable platforms/frameworks/SDKs over standalone apps
- Regulated/complex enterprise experience
- Cloud-native AWS expertise (API Gateway, Lambda, EKS, EC2, SNS/SQS, EventBridge, DynamoDB, RDS, S3, CloudFront, CloudWatch, IAM, Secrets Manager)
- Modern cloud-native dev: TypeScript, NodeJS, NestJS, React, NextJS, GraphQL, REST, SSR/SSG/CSR
- Enterprise AI ecosystems: LLM integrations, multi-agent systems, orchestration, RAG, tool-calling, context engineering, AI observability/governance, A2A, MCP integrations
- Hands-on: Git, Jenkins, Terraform, Kubernetes, Docker, IaC; platform observability; deep XENA platform knowledge
Preferred Qualifications:
- Pharmaceutical/healthcare/regulated industry experience
- Enterprise agent platforms; Internal Developer Platforms (IDPs)
- Reusable enterprise SDKs/framework libraries
- Influence senior executives/stakeholders; lead organizational transformation
Required Base Pay Range (anticipated): $137,000–$236,325
Benefits (as stated): medical, dental, vision, life insurance, short-/long-term disability, business accident, group legal; retirement pension + 401(k); vacation, sick time, holidays/floating holidays, work/personal/family time, parental leave, condolence, caregiver, volunteer, military spouse time-off.