Senior Principal, Platform Engineering

Scorpion Therapeutics; Horsham (PA); On-site; USD 137,000 - 236,000; Full time

Benefits offered by this job

Medical, dental, vision, life insurers

401(k) and pension plans

Job summary

Scorpion Therapeutics is seeking a Senior Principal Platform Engineer to shape the AINF Workbench and drive platform modernization across enterprise-scale digital products. You will define architecture, establish standards, and lead developer ecosystems including agents and tools.

Deep experience with AWS, distributed systems, and AI integrations is required, along with hands-on infrastructure tooling and observability. This role is based in Horsham, PA.

Qualifications

• 10+ years software engineering for enterprise-scale digital products/platforms/distributed systems.
• 7+ years as lead architect/principal engineer/engineering lead for platform strategy.
• 2+ years developing/using AI agents and orchestration.
• Platform modernization + enterprise engineering standards.
• Reusable platforms/frameworks/SDKs/developer ecosystems (not standalone apps).
• Regulated/complex enterprise experience.
• Cloud-native AWS + modern cloud app development (TypeScript, NodeJS, NestJS, React/NextJS, GraphQL, REST, SSR/SSG/CSR).
• AWS services: API Gateway, Lambda, EKS, EC2, SNS/SQS, EventBridge, DynamoDB, RDS, S3, CloudFront, CloudWatch, IAM, Secrets Manager.
• Enterprise AI ecosystems: LLM integrations, multi-agent systems, orchestration, RAG, tool-calling, context engineering, AI observability/governance, A2A workflows, MCP.
• Hands-on Git/Jenkins/Terraform/Kubernetes/Docker/IaC + platform observability.
• Deep XENA platform knowledge.

Responsibilities

• Define and evolve the AINF Workbench technical architecture.
• Set engineering strategy for shared services, gateway services, and runtime capabilities to scale adoption.
• Build foundational frameworks, SDKs, APIs, and developer platforms for Workbench adoption.
• Lead reusable agent frameworks, skills definition, and agent integration strategies.
• Establish standards for MCP, A2A, and A2UI interoperability.
• Create a shared catalog of reusable AI services, tools, agents, and business capabilities.
• Partner with AI Core teams to implement governed agent execution, observability, security, discoverability, and platform operations.
• Ensure interoperability with the broader J&J enterprise ecosystem via APIs and standardized platform contracts.
• Define quality metrics (reuse, adoption, reliability, release velocity, productivity, AI effectiveness).
• Build the organization to support the long-term roadmap (AI channels, AI production, autonomous execution, enterprise expansion).

Skills

Software engineering

Platform architecture leadership

AI agents/orchestration

Cloud-native development

Observability

Tools

Git

Jenkins

Terraform

Kubernetes

Docker

IaC

CloudWatch

Job description

Senior Principal Platform Engineer (AI Next Frontier (AINF) Workbench)

Responsibilities

• Define and evolve the AINF Workbench technical architecture.
• Set engineering strategy for shared services, gateway services, and runtime capabilities to scale adoption.
• Build foundational frameworks, SDKs, APIs, and developer platforms for Workbench adoption.
• Lead reusable agent frameworks, skills definition, and agent integration strategies.
• Establish standards for MCP, A2A, and A2UI interoperability.
• Create a shared catalog of reusable AI services, tools, agents, and business capabilities.
• Partner with AI Core teams to implement governed agent execution, observability, security, discoverability, and platform operations.
• Ensure interoperability with the broader J&J enterprise ecosystem via APIs and standardized platform contracts.
• Define quality metrics (reuse, adoption, reliability, release velocity, productivity, AI effectiveness).
• Build the organization to support the long-term roadmap (AI channels, AI production, autonomous execution, enterprise expansion).

Required Qualifications

• 10+ years software engineering for enterprise-scale digital products/platforms/distributed systems.
• 7+ years as lead architect/principal engineer/engineering lead for platform strategy.
• 2+ years developing/using AI agents and orchestration.
• Platform modernization + enterprise engineering standards.
• Reusable platforms/frameworks/SDKs/developer ecosystems (not standalone apps).
• Regulated/complex enterprise experience.
• Cloud-native AWS + modern cloud app development (TypeScript, NodeJS, NestJS, React/NextJS, GraphQL, REST, SSR/SSG/CSR).
• AWS services: API Gateway, Lambda, EKS, EC2, SNS/SQS, EventBridge, DynamoDB, RDS, S3, CloudFront, CloudWatch, IAM, Secrets Manager.
• Enterprise AI ecosystems: LLM integrations, multi-agent systems, orchestration, RAG, tool-calling, context engineering, AI observability/governance, A2A workflows, MCP.
• 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.
• Influencing senior executives; leading organizational transformation.

Benefits (as listed)

• Medical, dental, vision, life insurance, short/long-term disability, business accident, group legal; 401(k) and pension; vacation, sick time, holiday pay, parental leave, condolence, caregiver, volunteer, military spouse time off.

Base Pay Range

$137,000–$236,325.