AI Platform Engineer

Johnson Controls; Dallas (TX); In loco; USD 125.000 - 145.000; Tempo pieno

Descrizione del lavoro

Johnson Controls seeks an AI Platform Engineer to design and operate enterprise AI landing zones and shared services across Azure and AWS. You will build reusable modules, govern deployments, and enable self-service for AI, data science, and product teams.

The role emphasizes automation, CI/CD, security, and collaboration with Cybersecurity, Cloud Engineering, and Enterprise Architecture to scale AI capabilities responsibly.

Competenze

• Bachelor's degree or equivalent practical experience in a relevant field.
• 5+ years in cloud, DevOps, platform, SRE, or MLOps roles.
• Hands-on Azure production experience using Terraform and Azure DevOps.
• Strong knowledge of cloud networking, identity, and secure connectivity.
• Proficiency in Python, PowerShell, or Bash and strong documentation skills.

Mansioni

• Build and operate secure, scalable AI landing zones and platform services on Azure and AWS.
• Develop reusable infrastructure modules and deployment patterns.
• Design and implement governance, security, and reliability controls.
• Develop CI/CD pipelines and automated testing for Terraform modules and platform services.
• Collaborate with AI engineers and product teams to enable self-service capabilities.

Conoscenze

Cloud experience

DevOps

Platform engineering

SRE

MLOps

Python

PowerShell

Bash

Formazione

Bachelor's degree in Computer Science, Engineering, Information Technology, or related

Equivalent practical experience

Strumenti

Terraform

Terragrunt

Azure DevOps

Azure AI Foundry

Azure OpenAI

Azure Machine Learning

Azure AI Search

Document Intelligence

Container Apps

App Services

Functions

Key Vault

Azure Container Registry

Cosmos DB

Redis

Docker

Kubernetes

SageMaker

Bedrock

API Gateway

Lambda

S3

VPC / Networking

Descrizione del lavoro

About Us Johnson Controls, a global leader in thermal management, mission-critical building systems, energy efficiency, and decarbonization, helps customers use energy more productively, reduce carbon emissions, and operate with the precision and resilience required in rapidly expanding industries such as data centers, healthcare, pharmaceuticals, advanced manufacturing, and higher education. For more than 140 years, Johnson Controls has delivered performance where it really matters. Backed by advanced technology, lifecycle services and an industry-leading field organization, we elevate customer performance, turn goals into real-world results and help move society forward.

Johnson Controls International (JCI) is looking for an AI Platform Engineer to join the AI Engineering & Platforms team. This role focuses on building, automating, securing, and operating the enterprise landing zones and shared services that enable AI, machine learning, generative AI, and agent-based solutions across JCI. You will work across cloud platform engineering, infrastructure as code, DevOps, networking, security, observability, and service operations. The role is platform-first: creating reusable capabilities, governed deployment patterns, and reliable self-service experiences for AI engineering, data science, product, and business teams.

How you will do it

Enterprise AI Landing Zones & Cloud Platform Engineering

Build and operate secure, scalable AI landing zones and shared platform services, primarily on Azure and increasingly across AWS. Develop reusable infrastructure modules and deployment patterns using Terraform and Terragrunt, with consistent configuration across development, test, and production environments. Provision and support Azure AI Foundry, Azure Machine Learning, Azure OpenAI, AI Search, Document Intelligence, Container Apps, App Services, Function Apps, Key Vault, Azure Container Registry, Storage, Cosmos DB, Redis, Application Insights, Log Analytics, and supporting services. Contribute to AWS AI/ML platform capabilities using services such as Amazon Bedrock, SageMaker, API Gateway, Lambda, S3, IAM, and associated networking and security services. Design platform services so new capabilities can be onboarded through repeatable modules, documented standards, and approved deployment patterns.

AI Gateways, Model Access & Runtime Services

Build and operate governed access to foundation models and AI services through Azure API Management and equivalent cloud gateway patterns. Implement authentication, authorization, secrets management, rate limiting, quotas, routing, retries, circuit breakers, usage tracking, and cost controls for model and API consumption. Support pay-as-you-go and provisioned-throughput model deployments, model upgrades, endpoint lifecycle management, capacity planning, and controlled access for consuming teams. Enable secure hosting patterns for APIs, agents, containerized workloads, scheduled jobs, and event-driven services using managed cloud platforms.

Automation, CI/CD & Developer Enablement

Create and maintain Azure DevOps pipelines for infrastructure deployment, validation, policy checks, application hosting, and controlled releases. Build automated testing for Terraform modules, platform services, networking, security controls, and deployment smoke tests. Create sample projects, templates, reference implementations, runbooks, and onboarding documentation that help teams adopt the platform safely and quickly. Work with consuming teams to troubleshoot platform access, networking, identity, certificates, private endpoints, deployment, and runtime issues.

Security, Governance, Reliability & Operations

Implement private networking, managed identities, Entra ID integration, RBAC, least-privilege access, secrets management, logging, auditability, and secure-by-default configurations. Partner with Cybersecurity, Cloud Engineering, Networking, Enterprise Architecture, AI Governance, and service owners to move solutions from development into supported production environments. Build dashboards, alerts, health checks, monitoring, and operational metrics for platform availability, model usage, cost, capacity, and service quality. Participate in incident response, root-cause analysis, problem management, platform maintenance, change management, and continuous improvement. Support platform request, approval, provisioning, documentation, and handover processes, ensuring solutions remain supportable and compliant.

Collaboration & Engineering Standards

Collaborate with AI engineers, data scientists, solution architects, product teams, and cloud specialists to translate use cases into reusable platform capabilities. Contribute to architecture reviews, technical design decisions, backlog refinement, sprint delivery, code reviews, and platform roadmap planning. Promote engineering practices focused on automation, reliability, security, maintainability, cost awareness, and clear technical documentation.

Qualifications & Skills

Required Bachelor's degree in Computer Science, Engineering, Information Technology, or a related discipline, or equivalent practical experience. 5+ years of experience in cloud, DevOps, platform, SRE, infrastructure, or MLOps engineering roles. Hands-on experience building production Azure solutions using Terraform and Azure DevOps. Strong knowledge of cloud networking, private endpoints, DNS, identity, RBAC, managed identities, secrets, and secure service-to-service connectivity. Experience with containerized and managed application platforms such as Azure Container Apps, App Services, Functions, Docker, or Kubernetes. Experience implementing CI/CD, automated testing, deployment controls, monitoring, alerting, and operational support for production services. Proficiency in at least one scripting or programming language such as Python, PowerShell, or Bash. Ability to diagnose complex infrastructure, networking, authentication, certificate, deployment, and runtime issues. Clear communication and documentation skills, with the ability to work across engineering, architecture, security, governance, and product teams.

Preferred Hands-on experience with Azure AI Foundry, Azure OpenAI, Azure Machine Learning, Azure AI Search, Document Intelligence, or similar managed AI services. Experience designing or operating API gateways using Azure API Management, including policies for authentication, routing, throttling, retries, observability, and usage controls. Experience developing reusable Terraform modules and working with Terragrunt, remote state, module versioning, and environment promotion patterns. Experience with enterprise landing zones, hub-and-spoke networking, private cloud services, policy enforcement, and multi-subscription or multi-account environments. Experience operating AI or ML platforms, including model endpoints, capacity, quotas, evaluation services, vector search, RAG infrastructure, or agent runtimes. Working knowledge of cloud cost management, service reliability, incident management, and platform product thinking. Nice to have Experience with AWS platform engineering, including Bedrock, SageMaker, API Gateway, IAM, Lambda, S3, VPC networking, Terraform, or Terragrunt. Experience with multi-cloud AI gateway, model-routing, or centralized model-access patterns. Knowledge of LLMOps, agent orchestration, MCP, RAG, embeddings, vector databases, model evaluation, safety, or observability patterns. Experience with OpenTelemetry, SIEM integration, dashboards, load testing, resilience testing, or performance engineering. Exposure to ServiceNow-based request and fulfilment processes, CMDB, application onboarding, or enterprise architecture approval processes. Relevant certifications such as Azure Administrator, Azure Solutions Architect, Azure DevOps Engineer, Azure AI Engineer, AWS Solutions Architect, or Terraform Associate. Experience supporting global teams and services across multiple regions, time zones, and regulatory environments. Mindset Platform-first engineer who looks for reusable solutions rather than one-off deployments. Security-conscious and comfortable balancing delivery speed with enterprise controls. Operationally minded, with a focus on reliability, supportability, automation, and continuous improvement. Pragmatic problem solver who can work through ambiguity and evolving cloud and AI technologies.

SALARY RANGE

SALARY RANGE: $125,000 - $145,000 (Salary to be determined by the education, experience, knowledge, skills, and abilities of the applicant, internal equity, and alignment with market data.) This position includes a competitive benefits package. The posted salary range reflects the target compensation for this role. However, we recognize that exceptional candidates may bring unique skills and experiences that exceed the typical profile.

Johnson Controls International plc. is an equal employment opportunity and affirmative action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, protected veteran status, genetic information, sexual orientation, gender identity, status as a qualified individual with a disability or any other characteristic protected by law.

To view more information about your equal opportunity and non-discrimination rights as a candidate, visit EEO is the Law.

If you are an individual with a disability and you require an accommodation during the application process, please visit here.

Johnson Controls: Enhancing the Intelligence of Buildings Your buildings have a purpose. They are places for people to live or work. Facilities for learning or healing. Venues for entertainment and shopping. Sites for the specialized storage of tangible goods or mission-critical data. Your buildings have a huge variety of functions; they are central to your mission. This is where Johnson Controls comes in, helping drive the outcomes that matter most. Through a full range of systems and digital solutions, we make your buildings smarter. A smarter building is safer, more comfortable, more efficient, and, ultimately, more sustainable. Most important, smarter buildings let you focus more intensely on your unique mission. Better for your people. Better for your bottom line. Better for the planet. At Johnson Controls, we’ve been making buildings smarter since 1885, and our capabilities, depth of innovation experience, and global reach have been growing ever since. Today, we offer the world’s largest portfolio of building products, technologies, software, and services; we put that portfolio to work to transform the environments where people live, work, learn and play.