Sr AI Solution Engineer

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., * 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.

Do you have experience in Machine learning frameworks?, * 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.

Pulled from the full job description

• Employee stock purchase plan
• Parental leave
• Health insurance
• 401(k) matching
• Paid time off
• Vision insurance
• Dental insurance, 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

James Hardie is the industry leader in exterior home and outdoor living solutions, with a portfolio that includes fiber cement, fiber gypsum, composite and PVC decking and railing products. Our family of trusted brands includes Hardie®, TimberTech®, AZEK® Exteriors, Versatex®, fermacell®, and StruXure®. With over 8,000 employees and our U.S. operating entities headquartered in Chicago, we boast 31 operating sites, 6 recycling facilities, and 6 research and development centers globally. Powered by a dynamic workforce, we're united by our purpose of Building a Better Future for All through sustainable innovation, a Zero Harm culture, and a commitment to empowering our people and communities., James Hardie will comply with any applicable state and local laws regarding employee leave benefits, including, but not limited to providing time off pursuant to the Colorado Healthy Families and Workplaces Act, in accordance with its plans and policies.