James Hardie Industries plc

Sr AI Solution Engineer

James Hardie Industries plc • $106K — $133K *
Chicago, IL 60629In-Person
Enterprise Technology
5 - 7 years of experience
4 days ago
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Job Overview by Ladders

Qualifications

  • Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or related field required.
  • 6-8 years of experience in AI/ML engineering, data science, or software development.
  • Proficiency in Python and modern ML frameworks (TensorFlow, PyTorch).
  • Hands-on experience with cloud platforms (Azure, AWS, GCP) and containerization (Docker, Kubernetes).
  • Experience building LLM-based systems, RAG pipelines, or generative AI applications.
  • Understanding of data pipelines, APIs, microservices, and distributed systems.
  • Experience with ML Ops tools and practices (model registries, CI/CD, observability).

Responsibilities

  • Lead major AI capabilities throughout the end-to-end AI solution lifecycle.
  • Design and implement solutions leveraging Generative and Predictive AI.
  • Translate business requirements into scalable technical capabilities.
  • Develop APIs, microservices, and workflows for AI integration.
  • Work with data engineering teams to ensure robust data pipelines.
  • Optimize AI solutions for performance, cost, monitoring, and reliability.
  • Collaborate with business partners and engineering teams on use cases.

Benefits

  • Day-one health coverage including medical, dental, and vision insurance.
  • 401(k) with 6% match for retirement savings.
  • Employee Stock Purchase plan (ESP) opportunity.
  • Competitive salary and bonus eligibility.
  • Paid Time Off including vacation and company holidays.
  • Parental leave and wellness programs for work-life balance.
Full Job Description
Summary

The Senior Enterprise AI Solution Engineer supports the full lifecycle of AI solutions-from ideation to productionization-covering both Generative AI and Predictive AI use cases. This role focuses on implementing AI-powered solutions, integrating them into enterprise workflows, and ensuring operational reliability. This role reports directly to the Sr. Director of AI and supports AI solution engineering leader to implement enterprise AI solutions.

What You'll Do:

  • Lead major AI capabilities throughout the end-to-end AI solution lifecycle-from ideation and prototyping through deployment and operationalization.
  • Design and implement solutions leveraging Generative AI (LLMs, text generation, RAG pipelines) and Predictive AI (forecasting, anomaly detection, classification, computer vision).
  • Translate business requirements into scalable technical capabilities, ensuring alignment with enterprise patterns and standards.
  • Develop APIs, microservices, and workflows to embed AI capabilities into production systems.
  • Work with data engineering teams to ensure robust data pipelines and features for AI models.
  • Optimize AI solutions for performance, cost, monitoring, and reliability in production environments.
  • Collaborate with business partners, engineering teams, and data scientists to iterate on high value use cases.
  • Communicate technical concepts to leadership and non-technical stakeholders.
  • Participate in AI solution architecture design and contribute to cross functional architecture decisions.
  • Establish and follow best practices for model deployment, versioning, testing, and observability.
  • Contribute to ML Ops pipelines, CI/CD automation, and containerized deployments (Kubernetes, Docker).
  • Perform production support and troubleshooting for deployed AI services.
  • Mentor junior AI engineers and contribute to team knowledge sharing.
  • Support AI solution engineering leaders in establishing engineering standards and reusable patterns.


What You'll Bring:

  • Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or related field required.
  • 6-8 years of experience in AI/ML engineering, data science, or software development (between junior 4+ and principal 8+).
  • Proficiency in Python and modern ML frameworks (TensorFlow, PyTorch).
  • Hands-on experience with cloud platforms (Azure, AWS, GCP) and containerization (Docker, Kubernetes).
  • Experience building LLM based systems, RAG pipelines, or generative AI applications.
  • Understanding of data pipelines, APIs, microservices, and distributed systems.
  • Experience with ML Ops tools and practices (model registries, CI/CD, observability).
  • Strong problem solving skills with the ability to troubleshoot complex systems.
  • Excellent written and verbal communication skills.
  • Curiosity and commitment to staying current with emerging AI technologies.


What You'll Receive:

As of the date of this posting, a good faith estimate of the current pay scale for this position is $106,700K-$133,400K. Placement in the range depends on several factors such as experience, skills, geography and internal equity and may change over time. This position qualifies for benefits and you will be eligible to participate in a bonus plan.

At James Hardie, we recognize that our success depends on our people. We've worked hard to build a generous and competitive benefits program that demonstrates our commitment to our employees.
  • Compensation: competitive salary and bonus eligibility
  • Insurance: day-one health coverage medical, dental, vision, life insurance
  • Paid Time Off: vacation and company holidays
  • Retirement: 401(k) with 6% match
  • Investments: Employee Stock Purchase plan (ESP)
  • Work-Life Balance: parental leave, wellness programs
  • Purpose. Impact. Community: Sustainability Initiatives | James Hardie


#LI-DW1

The position responsibilities outlined above are in no way to be construed as all encompassing. Other duties, responsibilities, and qualifications may be required and/or assigned as necessary.

About James Hardie Industries plc

James Hardie Industries plc, together with its subsidiaries, manufactures and sells fiber cement siding and backer board products. It operates through North America Fiber Cement, International Fiber Cement, Other Businesses, and Research and Development segments. The company offers fiber cement interior linings, exterior siding products, and related accessories; fiber cement building materials for a range of applications, including external siding, internal walls, floors, ceilings, soffits, trim, fencing, decking, and facades; floor underlayments; planks, which are used in external siding; flat panels and squares for internal and external wall linings; gypsum fiber boards; and cement-bonded boards. It also provides various products, such as HardieTrim, a decorative trim; and HardieBacker, a tile backer board. The company markets its products and systems under the HardiePlank, HardiePanel, HardieTrim, HardieBacker, James Hardie, Artisan, Reveal, Cemplank, Scyon, Ritek, and Fermacell brands. James Hardie Industries plc was founded in 1888 and is headquartered in Dublin, Ireland.
Learn more about James Hardie Industries plc
Size
5,196 employees
Market Cap
$7.8 billion
Industry
Real Estate & Construction
Net Income
$148.1 million
5 Year Trend
+13.5%
Revenue
$2.6 billion
NASDAQ
JHX
* Ladders Estimates

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