Carrier Global
HVAC, refrigeration, and fire and security solutions
AI & Data Engineer
About the job
- A Bachelor's degree in Computer Science, Data Science, Information Systems, Engineering, or a related field is required.
- Seven to ten years of relevant technology experience in cloud engineering, AI/ML platforms, data platforms, automation, enterprise application development, or platform architecture is required.
- Four to five years of hands-on experience in Google Cloud Platform, AI engineering, MLOps, LLMOps, AgentOps, and production AI platform delivery is required.
- Strong hands-on experience with Google Cloud Platform, including secure architecture, cloud-native services, identity, networking, monitoring, cost optimization, governance, and production operations.
- Strong hands-on experience with Python, TypeScript, JavaScript, APIs, automation scripts, backend services, and integration patterns.
- Strong understanding of generative AI, the machine-learning lifecycle, prompts, embeddings, retrieval-augmented generation, model evaluation, responsible AI, AI governance, usage monitoring, and production reliability.
- Strong understanding of model deployment, prompt lifecycle management, model and agent evaluation, tool orchestration, agent monitoring, guardrails, observability, incident management, and production support for AI systems.
- Strong understanding of identity and access management, access control, data privacy, compliance, encryption, secrets management, audit logging, responsible AI, and cloud governance principles.
- Proven ability to lead junior resources, mentor engineers, review code and designs, define technical standards, assign technical work, remove blockers, and drive high-quality delivery across multiple initiatives.
- Design and implement scalable AI, data, and automation platforms on Google Cloud Platform, including secure landing zones, environment strategy, identity and access management, networking, monitoring, deployment patterns, shared services, and enterprise governance controls.
- Build and operationalize cloud-native AI and machine-learning solutions using Vertex AI, BigQuery, Cloud Storage, Cloud Run, Cloud Functions, Pub/Sub, Cloud Logging, Cloud Monitoring, service accounts, APIs, and related managed services.
- Architect secure integration patterns across APIs, enterprise data sources, event-driven workflows, databases, data pipelines, model endpoints, agent workflows, and third-party systems.
- Design and implement automation workflows using Python, TypeScript, APIs, serverless services, continuous integration and continuous delivery pipelines, event-driven design, infrastructure automation, and cloud-native orchestration patterns.
- Lead the development and operational governance of AI agents and multi-agent workflows, including tool calling, human-in-the-loop controls, agent monitoring, evaluation, safety guardrails, access controls, incident response, and production support processes.
- Define and enforce security controls across Google Cloud Platform, including least-privilege access, network security, encryption, secrets management, audit logging, policy controls, data protection, and responsible AI governance standards.
- Establish monitoring, alerting, logging, tracing, incident response, performance tuning, release readiness, operational runbooks, and support practices for AI, data, and cloud platform services.
- Lead usage analytics, budget controls, cost allocation, model and API usage optimization, resource right-sizing, and executive-level reporting to improve cloud and AI platform cost efficiency.
- Lead and mentor junior engineers by providing hands-on technical direction, reviewing architecture designs and code, defining reusable engineering patterns, conducting knowledge-sharing sessions, assigning technical tasks, removing blockers, and ensuring consistent delivery quality.
- Operationalize machine-learning, generative AI, and agentic AI solutions across enterprise platforms, including model deployment, lifecycle management, monitoring, retraining support, release governance, prompt and version management, model evaluation, retrieval-augmented-generation quality, safety controls, usage tracking, responsible AI oversight, agent workflow observability, tool usage governance, guardrails, incident management, and production support.
- A master's degree is preferred.
- Working knowledge of AWS services such as SageMaker, Bedrock, Lambda, S3, IAM, CloudWatch, API Gateway, and Step Functions.
- Exposure to Microsoft Copilot, Copilot Studio, Dataiku, GitHub Copilot, Cursor, Codex, Claude, or other enterprise AI and coding assistant tools.
About the company
Carrier Global provides intelligent climate and energy solutions for residential, commercial, and industrial sectors, including HVAC, refrigeration, and fire and security systems. It sells equipment and offers services such as installation, maintenance, and remote monitoring. The company is transitioning from a focus on equipment manufacturing to digital building solutions that use automation and energy management to optimize performance. Its global footprint, diversified portfolio, and strategy of digital transformation and selective acquisitions differentiate it from competitors, with the goal of helping customers improve efficiency, reliability, and safety in their buildings.
Company Size
10,001+
Company Stage
IPO
Headquarters
Palm Beach Gardens, Florida
Founded
2003
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Simplify's Take
What believers are saying
- Carrier raised 2026 data-center sales guidance to about $2 billion after 300% order growth.
- Second-quarter 2026 orders rose about 40%, while backlog exceeded $8 billion.
- Abound's February 2026 Tell Me More feature and 75F strengthen recurring software adoption.
What critics are saying
- Carrier faces 2026 HVAC antitrust lawsuits naming it in Eastern Michigan federal court.
- NORESCO exit and Riello divestiture create 2026 revenue headwinds and execution disruption.
- Carrier's data-center growth depends on capacity expansion; missed 2027 deliveries damage credibility.
What makes Carrier Global unique
- Carrier's 2024 Viessmann deal gave it European residential distribution and renewables depth.
- Carrier's July 2026 75F acquisition adds cloud-native building automation and agentic-AI controls.
- Carrier's WebCTRL, Abound, and Nlyte create a differentiated end-to-end building software stack.
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Benefits
Hybrid Work Options
Professional Development Budget
Growth & Insights and Company News
6 month growth
↑ 0%1 year growth
↑ 0%2 year growth
↑ 0%Trane and Carrier, two of the world's largest HVAC companies, are experiencing surging orders from data centres as AI infrastructure demands increase. As AI clusters generate more heat with newer chip generations, hyperscalers have turned to established HVAC leaders to meet their cooling needs. Trane's data centre business accounts for approximately 10% of its total revenue. Its backlog grew 70% year over year to $12.1 billion in Q2 2026, equivalent to 57% of its 2025 revenue. From 2021 to 2025, Trane's revenue and earnings per share grew at compound annual growth rates of 11% and 21%, respectively. Carrier's data centre sales represent about 5% of its 2025 revenue. The company expects this segment to grow 50% in 2026, reaching 7% to 9% of revenue. Its backlog increased 40% year over year to $8 billion in Q2 2026.
Wall Street analysts have set ambitious price targets for three stocks, but StockStory's independent analysis suggests caution on two of them. Carrier Global trades at $62.64 per share, with analysts targeting $77.82. However, the company has shown no organic revenue growth over the past two years, whilst earnings per share have contracted by 8.4% annually. Diminishing returns on capital further suggest earlier profit pools are drying up. Elanco Animal Health, trading at $23.57 against a $31.21 target, has posted muted 2% annual revenue growth over five years. Its adjusted operating margin fell by 3.5 percentage points, and negative returns on capital indicate management lost money during expansion attempts. In contrast, Ulta Beauty appears to justify Wall Street's optimism. Same-store sales have averaged 3.5% growth over two years, whilst the company's 32.6% return on capital demonstrates strong management execution.
PALM BEACH GARDENS, Fla., Jan. 2, 2024 – Carrier Global Corporation (NYSE: CARR) announced today that it has completed its acquisition of Viessmann Climate Solutions from the Viessmann Group. The transaction marks another meaningful step forward in Carrier’s portfolio transformation, further strengthening the company’s global leadership position in intelligent climate and energy solutions.
Carrier Global has acquired 75F, a Minneapolis-based maker of cloud-native, AI-enabled building-automation systems. The climate-equipment company disclosed no financial terms for the deal, which closed on 23 July 2026. Carrier had previously invested in 75F through its venture arm, participating in the company's $45 million Series B round in February 2025 alongside Breakthrough Energy Ventures and Next47. Founded in 2012, 75F had raised roughly $80 million in venture funding. The acquisition gives Carrier ownership of 75F's cloud software and machine-learning layer that automates building systems. Carrier plans to integrate 75F's technology with its WebCTRL building controls, Abound predictive-analytics service, and Nlyte data-centre management software. Carrier specifically cited data centres as a key application, planning to incorporate 75F's AI capabilities into its QuantumLeap thermal-management suite.
Curtiss-Wright has emerged as a strong cash-producing industrial stock, according to StockStory analysis. The aerospace and maritime products provider demonstrated 11% annual revenue growth over the past two years alongside 18.9% earnings per share growth, boosted by share repurchases. The company's free cash flow margin expanded by 6.3 percentage points over five years, reaching 16.4%. Meanwhile, two industrial stocks face challenges. Trex Company's revenue declined 2.1% annually over two years, with its free cash flow margin shrinking by 8 percentage points over five years. Carrier Global saw earnings per share fall 6% annually despite revenue growth, suggesting declining profitability on incremental sales. Both companies showed shrinking returns on capital, indicating increasing competitive pressure.