Principal Platform Engineer – Sales

This person will serve as the global engineering leader for the MedTech Global CXM Platform in Microsoft Dynamics, creating a connecting ecosystem of platform, data, and intelligence across MSD, Teams, Outlook, Co-Pilot, and additional interconnected global commercial platforms. This role focuses specifically on Sales platform experiences and will be responsible for defining and executing the technical strategy, architecture, engineering standards, and platform capabilities that power the future of AI-driven commercialization experiences across MedTech.

Role

The role will own the evolution of the CXM Platform for Sales experiences from initial release through enterprise scale, ensuring that each new capability strengthens the platform through reusable services, common frameworks, and governed engineering patterns. A critical objective of this role is creating a durable platform where investments compound over time through shared services, standardized interfaces, reusable agents, and connected AI workflows. This individual will serve as the technical counterpart to product and business leadership, translating the MedTech CXM vision into a scalable engineering ecosystem capable of supporting future-state workflows that connect marketing, sales, pricing, contracting, customer service, and service and repair.

Strategic Core Responsibilities

• Define and evolve the technical architecture for the Butterfly CXM platform.
• Establish the engineering strategy for shared service integration, full stack requirements to support adoption at scale including establishing gateway services, and runtime capabilities.
• Build the foundational frameworks, SDKs, APIs, and developer platforms supporting CXM adoption across all pods and future use cases.
• Lead development of reusable agent frameworks, skills definition, and agent integration strategies.
• Establish enterprise standards for MCP, A2A, and A2UI interoperability across all AI capabilities.
• Create a shared catalog of AI services, tools, agents, and business capabilities that can be reused across the Workbench ecosystem.
• Partner closely with AI Core teams to implement governed agent execution, observability, security controls, discoverability, and platform operations.
• Ensure Microsoft Dynamics capabilities consume and contribute to the broader J&J enterprise technology ecosystem through interoperable APIs, shared services, and standardized platform contracts.
• Define engineering quality metrics that measure platform reuse, service adoption, reliability, release velocity, developer productivity, and AI solution effectiveness.
• Build an engineering organization capable of supporting the long-term AINF roadmap, including future releases supporting AI channels, AI production, autonomous execution capabilities, and expanded enterprise adoption.

Required Qualifications

• 7+ years of software engineering experience delivering enterprise-scale digital products, platforms, and distributed systems.
• 4+ years serving as a lead architect, principal engineer, or engineering lead responsible for platform architecture and technical strategy.
• 2+ years developing and using AI agents and orchestration platforms.
• Demonstrated experience leading large-scale platform modernization initiatives and establishing enterprise engineering standards.
• Proven track record building reusable platforms, frameworks, SDKs, and developer ecosystems rather than standalone applications.
• Experience operating within highly regulated or complex enterprise environments.
• Expert in applicable domain/products and in the tech stack used within the J&J MedTech CxM domain, principally with Microsoft Dynamics, Azure, Co-Pilot and Co-Pilot Studio.
• Expert in Platform Development and Commercial business processes including the application of software solutions to solve business problems and accelerate new product introduction.
• Demonstrable experience leading teams of employees and/or contractors, including goal setting and career development.
• API Gateway, MSD Connectors, Lambda, EKS, EC2, SNS, SQS, EventBridge.
• DynamoDB, RDS, S3, CloudFront, CloudWatch, IAM, Secrets Manager.
• Demonstrated experience designing and implementing enterprise AI ecosystems including: Large Language Model (LLM) integrations, Agent-based systems, Multi-agent architectures, Agent orchestration, Retrieval-Augmented Generation (RAG), Tool-calling frameworks, Skills-based architectures, Context engineering, AI observability, AI governance, Agent-to-Agent (A2A) workflows, Model Context Protocol (MCP) integrations.
• Hands-on expertise with: Git, Jenkins, Terraform, Kubernetes, Docker, Infrastructure-as-Code.
• Platform observability.
• Candidate must possess deep working knowledge of the XENA platform including: XENA engineering principles and standards, engineering accelerators, AI-enabled SDLC capabilities, coding workflows, PR workflows, Enterprise architecture standards, JPM deployment framework and pipeline standards, Enterprise CI/CD governance, Approved engineering tooling and delivery patterns, AI-enabled SDLC acceleration capabilities.

Preferred Qualifications

• Experience in medtech, pharmaceutical, healthcare, or regulated industries.
• Experience building enterprise agent platforms.
• Experience building Internal Developer Platforms (IDPs).
• Experience building reusable enterprise SDKs and framework libraries.
• Demonstrated ability to influence senior executives and enterprise architecture stakeholders.
• Experience leading through organizational transformation.