Senior Applied AI Engineer II

Saint--gobain; Northborough (MA); On-site; USD 102,000 - 158,000; Full time

Benefits offered by this job

Health Insurance

401(k) with company match

Paid Time Off

Volunteer Day

Job summary

Saint-Gobain Innovation North America is seeking an experienced AI Engineer II to translate complex business and scientific problems into production AI and digital solutions. You will work hands-on with scientists, engineers, IT, security, and stakeholders to define success criteria and drive adoption.

This role emphasizes end-to-end delivery, from discovery and workflow mapping to deployment, monitoring, and continuous improvement.

Qualifications

• Hands-on delivery of production software, data, AI/ML, or generative-AI solutions in industrial, enterprise, R&D or customer-facing environments.
• Ability to translate ambiguous stakeholder needs into technical requirements, roadmaps, prototypes, and adoption plans.
• Experience deploying production AI/ML systems and communicating tradeoffs clearly to technical and non-technical audiences.

Responsibilities

• Own end-to-end delivery of forward-deployed AI and digital solutions for R&D, industrial and business teams from discovery through production deployment and adoption.
• Bridge between business/domain teams and IT, data, MLOps, cybersecurity, and platform teams to align architecture with governance.
• Build, test, and support production-grade AI/software components with CI/CD, observability, and documentation; create reusable references for scaling beyond prototypes.
• Manage project communications and leadership-ready updates, demos, roadmaps, and user guides across technical and non-technical audiences.

Skills

Python

APIs

Data pipelines

CI/CD

MLOps

Generative AI

LLM

Communication

Stakeholder management

Security & governance

Cloud platforms

Education

Bachelor's Degree

Master's Degree

PhD

Tools

Job description

Saint-Gobain Innovation North America is seeking an experience AI Engineer II to accelerate Saint-Gobain R&D and industrial innovation by translating high-value business, scientific, and operational problems into production-ready AI and digital solutions. The role is intended for a hands-on builder who has deployed software, data, machine-learning, and/or generative-AI systems in real industrial or enterprise environments, and who can work directly with scientists, engineers, IT, cyber/security, and business stakeholders to identify the right opportunities, define success criteria, build usable solutions, and drive adoption.
The incumbent should be deeply curious about scientific and industrial workflows, but the differentiator is the ability to communicate effectively, operate in ambiguity, own end-to-end delivery, and convert prototypes into reliable, maintainable tools that create measurable value for Saint-Gobain innovation teams and businesses. The role strengthens the Data & AI team by connecting domain experts and enterprise platforms, capturing reusable deployment patterns, and feeding practical learnings back into future AI product roadmaps.

The role will:

• own end-to-end delivery of forward-deployed AI and digital solutions for R&D, industrial and business teams from discovery and workflow mapping through prototype, production deployment, adoption, and continuous improvement.
• serve as the technical bridge between business/domain teams and central IT, data, MLOps, cybersecurity, and platform teams. Embeds with stakeholders to understand workflows and constraints; communicates tradeoffs clearly; aligns solution architecture with data governance and deployment requirements; and drives stakeholder adoption through relationship management.
• Build, integrate, test, and support production-grade AI/software components using strong engineering practices, CI/CD, observability, reliability checks, and documentation. Create reusable reference architectures, templates, and deployment playbooks so solutions can be scaled beyond one-off prototypes.
• Manage project communication, documentation, and knowledge transfer. Prepare clear written updates, technical memos, demos, roadmaps, user guides, and leadership presentations that explain value, limitations, risks, adoption status, and next steps to technical and non-technical audiences.

Project goals are often defined at a business or workflow level and require the incumbent to refine scope, identify leverage points, select appropriate technical approaches, and adjust plans based on data availability, security constraints, adoption barriers, ROI, and platform readiness.

Is this job for you ?

Experience Requirements:

• Bachelor's Degree + 12 years of experience, Master's Degree + 7 years of experience or PhD with 3 years of experience in Software Engineering, Data Science, Industrial Engineering, Mechanical Engineering, or related technical Discipline is required
• BS+ 12 years, MS + 7 years or PhD + 3 years experience deploying production software, data, AI/ML, or generative-AI solutions in industrial, enterprise, R&D or customer-facing environments. Must include hands‑on solution delivery beyond notebooks or proofs of concept, with demonstrated ability to work directly with stakeholders and communicate technical tradeoffs clearly is required.
• Hands‑on experience designing, building, deploying, and supporting production‑grade AI, ML, analytics, automation, or software systems in enterprise or industrial settings is required
• Strong Python and software engineering skills, including APIs, data pipelines, testing, Git‑based development, documentation, and maintainable code practices is required
• Experience with generative AI and LLM systems such as RAG, vector search, prompt/orchestration patterns, agentic workflows, model/prompt evaluation, guardrails, and reliability monitoring is required
• Ability to build strong relationships, earn trust with teams and translate ambiguous stakeholder needs into technical requirements, roadmaps, prototypes, production releases, success metrics, and adoption plans in an effort to influence stakeholders is required
• Experience integrating solutions with enterprise data sources, cloud or on‑prem infrastructure, databases, dashboards, web applications, and security/governance constraints is required
• Excellent written and verbal communication skills, with the ability to explain architecture, risks, tradeoffs, limitations, and business value to scientists, engineers, plant teams, IT, cybersecurity, and leadership is required
• Ability to facilitate discovery workshops, translate workflow pain points into requirements, present demos, and drive alignment on scope, risks, success metrics, and adoption plans is required
• Technical leadership as a forward‑deployed AI/software SME; able to guide solution architecture and implementation choices across ambiguous projects is required
• Demonstrated deployment mindset: prioritizes usable, reliable, maintainable systems over one‑off demos; measures adoption, quality, and impact is required
• Capable of mentoring junior data scientists, engineers, interns, or project contributors on good engineering, documentation, evaluation, and deployment practices is required

The following are preferred:

• Experience with cloud platforms, containers, CI/CD, MLOps/LLMOps, observability, or regulated/high-confidentiality data environments
• Experience in manufacturing, industrial R&D, scientific R&D, process engineering, or technical consulting environments
• Familiarity with computer vision, optimization, simulation workflows, IoT/lab/plant data, knowledge graphs, or enterprise search
• Ability to learn new scientific, manufacturing, or business domains quickly; a materials science background is helpful but not required

A little more about us

At Saint‑Gobain/CertainTeed, our employees have pride in belonging to an organization whose culture is made up of these core values: Trust, Empowerment, & Collaboration. Our company encourages diversity and inclusion in all its forms while our products make the world a more beautiful, safer, and sustainable home.

Being a worldwide leader in light and sustainable construction, Saint‑Gobain/CertainTeed designs, manufactures, and distributes materials and services for the construction and industrial markets. Its integrated solutions for the renovation of public and private buildings, light construction, and the decarbonization of construction and industry are developed through a continuous innovation process and provide sustainability and performance. The Group’s commitment is guided by its purpose, “Making the World a Better Home.”

Legal Statement

Saint‑Gobain provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, gender, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, marital status, amnesty, or status as a covered veteran in accordance with applicable federal, state and local laws. Saint‑Gobain is an equal opportunity employer of individuals with disabilities and supports the hiring of veterans.

This position is subject to export controls under the International Traffic in Arms Regulations (ITAR). Qualified applicants for the position must meet the ITAR definition of “U.S. Person” at 22 C.F.R. 120.15 as a: U.S. citizen, U.S. national, lawful permanent resident, or otherwise a protected individual (including for example refugees and asylees).

Applicants for roles based in Washington state or remote roles that would be worked from Washington state are encouraged to direct any concerns regarding the state’s Pay Transparency laws to the SGNA HR Compliance team at [email protected].

Benefits in joining us

Certain locations require pay information be provided in job postings. Saint‑Gobain aims to deliver a comprehensive Total Rewards package to support our employees’ wellbeing and help improve daily life for themselves and their families. We believe in the importance of pay transparency in what we offer potential candidates. Provided is the national pay range for this position which is $102,000 to $158,000 per year. However, the base pay offered may vary depending on geographic region, internal equity, job-related knowledge, skills, and experience among other factors.

In addition to base salary, this position is eligible for an annual bonus. The targeted bonus amount is 13% of base salary based on company and individual performance measures. The Total Target Cash range (base pay and annual bonus) for this position, is $115,260 to $178,540. Bonus payments are part of variable compensation and by nature can vary based on company and individual performance and is not a guarantee. Saint‑Gobain is committed to helping you and your family be well in all aspects of your life.

Be Well, Be You brings together inclusive programs and meaningful resources to support all aspects of your physical, emotional, financial, and social well-being. Employees have the flexibility to choose the benefits that best fit their individual needs.

Health and Wellbeing - Supporting your wellbeing, to thrive in life and work.

• Medical, Prescription Drug, Vision, and Dental Insurance
• Healthcare Saving Account and Flexible Spending Account options
• LiveWell Wellness Program
• Employee Assistance Program (EAP)
• Paid Time Off and Paid Parental Leave

Retirement and Protection - Helping to make the future life you want a reality.

• 401(k) with Company Match, Retirement Accumulation Plan (RAP) Cash Balance Pension Plan
• Company-provided Life Insurance, AD&D, Short-Term Disability
• Voluntary employee and dependent life insurance, Long-Term Disability, Critical Illness and Accident Insurance

Additional Benefits - Helping shape the experience and impact you want:

• Group Legal
• Identity Theft Protection
• Auto and Home Insurance
• Pet Insurance and Discounts
• Back-up Child and Elder Care
• PerkSpot Employee Discount Program
• Volunteer Day

Germany, North Rhine-Westphalia, HERZOGENRATH