Platform Engineer

• Design, develop, and support enterprise-scale GenAI solutions, including AI-assisted development, documentation, testing, analytics, and workflow automation
• Lead architecture, implementation, and optimization of Retrieval-Augmented Generation (RAG) solutions, including ingestion pipelines, embeddings, vector stores, retrieval frameworks, and search capabilities
• Design, review, and approve agent-based and tool-integrated AI architectures, including multi-step LLM workflows
• Develop and oversee APIs, shared services, and reusable frameworks connecting AI models to internal systems, platforms, and approved third-party tools
• Establish prompt engineering standards, evaluation methodologies, and testing frameworks
• Drive model testing, benchmarking, evaluation, and performance analysis using approved frameworks and governance standards
• Author secure, scalable, maintainable code using Java, Python, and C#, while promoting engineering excellence
• Lead technical discussions with Product Managers, Architects, Engineers, and senior stakeholders to translate business objectives into enterprise-scale AI solutions
• Serve as a subject matter expert for Generative AI, AI platform engineering, and responsible AI practices
• Mentor and coach engineers on software engineering, AI architecture patterns, algorithms, data structures, and enterprise platform design
• Contribute to technical roadmaps balancing strategic AI initiatives, platform modernization, innovation, operational excellence, and technical debt reduction
• Define and champion architecture standards, design patterns, and implementation guidance for AI-enabled solutions
• Apply engineering, operational, and AI performance metrics to identify process improvements and platform optimization opportunities
• Lead resiliency, performance, observability, and security best practices within AI platforms and services
• Drive responsible AI, model governance, security, compliance, privacy, and risk management throughout the AI development lifecycle
• Participate in and present to enterprise architecture forums, engineering councils, and leadership committees
• Adhere to company risk and regulatory standards, policies, controls, and Risk Appetite; escalate risk-related issues
• Maintain internal control standards and implement internal/external audit and regulatory findings as applicable
• Complete other related duties as assigned

Principal AI Platform Engineer

• Contribute to the advancement of cloud strategy
• Develop, communicate, and implement robust and secure cloud CI/CD pipelines
• Work closely with stakeholders to create fully automated pipelines supporting DevSecOps best practices
• Assist with releasing candidate CI/CD pipelines to communicate release states and steps for applications and services
• Design and develop autonomous CI/CD pipelines for cloud deployments, including infrastructure, services, application builds, and deployment automation
• Ensure pipelines follow software engineering practices, including automated tests and infrastructure tests
• Build tools that reduce errors and improve customer experiences
• Assist with troubleshooting production issues
• Ensure pipeline and infrastructure produce documentation and metrics enabling Root Cause Analysis
• Develop and test Ansible Playbooks, Terraform Scripts, and Packer Scripts
• Establish immutable infrastructure
• Collaborate with Enterprise Architecture, Information Security, Software Delivery, and Quality Assurance to enable cloud adoption through automation
• Ensure compliance with risk management programs, rules, regulations, cybersecurity practices, and disciplined change management
• Work primarily from home and attend onsite meetings or events as needed

Cloud Security Platform Engineer

• Define and evolve the technical architecture for the Butterfly CXM platform
• Establish engineering strategy for shared-service integration, gateway services, and runtime capabilities
• Build foundational frameworks, SDKs, APIs, and developer platforms supporting CXM adoption
• Lead development of reusable agent frameworks, skills definitions, and agent integration strategies
• Establish enterprise 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 on governed agent execution, observability, security, discoverability, and platform operations
• Ensure Microsoft Dynamics capabilities integrate with the broader J&J enterprise ecosystem through interoperable APIs and shared services
• Define engineering quality metrics for platform reuse, service adoption, reliability, release velocity, developer productivity, and AI effectiveness
• Build an engineering organization supporting the long-term AINF roadmap and expanded enterprise adoption

• Define and evolve the technical architecture for the Butterfly CXM platform
• Establish engineering strategy for shared-service integration, gateway services, and runtime capabilities
• Build foundational frameworks, SDKs, APIs, and developer platforms supporting CXM adoption
• Lead reusable agent frameworks, skills definition, and agent integration strategies
• Establish enterprise interoperability standards for MCP, A2A, and A2UI across AI capabilities
• Create a shared catalog of reusable AI services, tools, agents, and business capabilities
• Partner with AI Core teams on governed agent execution, observability, security, discoverability, and platform operations
• Ensure Microsoft Dynamics capabilities integrate with the broader J&J enterprise technology ecosystem
• Define engineering quality metrics for platform reuse, service adoption, reliability, release velocity, developer productivity, and AI effectiveness
• Build an engineering organization supporting the long-term AINF roadmap and enterprise adoption
• Serve as global engineering leader for the MedTech Global CXM Platform and technical counterpart to product and business leadership
• Own engineering evolution of Customer Service experiences from initial release through enterprise scale

Platform Engineer – Customer Service

• Define and evolve the technical architecture for the Butterfly CXM platform
• Establish engineering strategy for shared-service integration, gateway services, and runtime capabilities
• Build foundational frameworks, SDKs, APIs, and developer platforms supporting CXM adoption
• Lead development of reusable agent frameworks, skills definitions, and agent integration strategies
• Establish enterprise standards for MCP, A2A, and A2UI interoperability across AI capabilities
• Create a shared catalog of reusable AI services, tools, agents, and business capabilities
• Partner with AI Core teams on governed agent execution, observability, security, discoverability, and platform operations
• Ensure Microsoft Dynamics capabilities integrate with the broader J&J enterprise technology ecosystem through interoperable APIs and shared services
• Define engineering quality metrics for platform reuse, service adoption, reliability, release velocity, developer productivity, and AI effectiveness
• Build an engineering organization supporting the long-term AINF roadmap and expanded enterprise adoption
• Serve as global engineering leader for the MedTech Global CXM Platform in Microsoft Dynamics
• Translate MedTech CXM vision into a scalable engineering ecosystem connecting marketing, sales, pricing, contracting, customer service, and service and repair

• Define and evolve the technical architecture for the Butterfly CXM platform
• Establish engineering strategy for shared-service integration, full-stack requirements, gateway services, and runtime capabilities
• Build foundational frameworks, SDKs, APIs, and developer platforms supporting CXM adoption
• Lead development of reusable agent frameworks, skills definitions, and agent integration strategies
• Establish enterprise standards for MCP, A2A, and A2UI interoperability across AI capabilities
• Create a shared catalog of reusable AI services, tools, agents, and business capabilities
• Partner with AI Core teams on governed agent execution, observability, security controls, discoverability, and platform operations
• Ensure Microsoft Dynamics capabilities integrate with the broader J&J enterprise technology ecosystem through APIs, shared services, and standardized platform contracts
• Define engineering quality metrics for platform reuse, service adoption, reliability, release velocity, developer productivity, and AI effectiveness
• Build an engineering organization supporting the long-term AINF roadmap and expanded enterprise adoption
• Serve as technical counterpart to product and business leadership, translating the MedTech CXM vision into a scalable engineering ecosystem

• Design, develop, configure, customize, administer, and govern the ServiceNow platform
• Configure and extend ServiceNow modules including Incident, Problem, Change, Request, Service Catalog, CMDB, and Knowledge Management
• Develop and maintain workflows, Flow Designer flows, business rules, UI policies, client scripts, and server-side JavaScript
• Design and support integrations using REST, SOAP, APIs, MID Server, and data sources
• Support CMDB and CSDM implementations, including data modeling, reconciliation, discovery, and data integrity
• Enable automation and orchestration to reduce manual effort and improve service delivery
• Support ServiceNow environments across development, test, and production instances
• Perform platform upgrades, patching, and release management aligned with organizational change controls
• Monitor system performance and availability and address risks to reduce degradation or outages
• Develop dashboards, KPIs, and reports for service performance, compliance, and risk visibility
• Translate business requirements into measurable ServiceNow outcomes
• Collaborate with product owners, architects, infrastructure teams, and business stakeholders to deliver technical solutions
• Participate in Agile/Scrum ceremonies including grooming, sprint planning, testing, and retrospectives
• Create and maintain technical documentation for configurations, integrations, and platform standards
• Develop, test, implement, maintain, and debug software solutions
• Design software solutions to address business needs
• Write code, test, and deploy software
• Prepare technical and procedural documentation required for software

Platform Engineer jobs in Alabama

Principal AI Platform Engineer

Cloud Security Platform Engineer