DescriptionIntelex is on the lookout for an AI solution Architect to join our AI team working on innovative and transformative solutions that will drive our companys strategic direction in the ever-evolving realm of AI technology & New Initiatives. The AI Solution Architect is responsible for providing technical leadership in the solution and implementation design of Intelex AI features during the entire customer cycle. The position works closely with various stakeholders including engineering product and services teams to ensure that our technology solutions are scalable sustainable and aligned with industry best practices. The position requires a deep understanding of design and configuration in our platform; as well as excellent communication and planning skills.
Responsibilities and Deliverables
AI Solution Development & Integration (50%)
- Design and implement robust AI solutions such as LLMs RAG and orchestration frameworks like LangGraph that integrates with existing systems and infrastructure while allowing for future scalability.
- Define AI/ML solution architecture guiding teams in model selection deployment and optimization.
- Ensure AI models are scalable explainable and robust addressing bias drift and model governance.
- Guide the development and deployment of robust scalable AI systems by following established MLOps principles.
AI Strategy & Architecture Development (20%)
- Develop and maintain an AI architecture strategy ensuring alignment with business goals.
- Define AI integration patterns within enterprise applications leveraging cloud-based AI services and APIs.
- Establish AI governance frameworks ensuring compliance with security privacy and ethical AI standards.
- Research emerging AI trends and ensure the organization stays ahead in AI adoption.
Business Engagement & Use Case Identification (20%)
- Work closely with business units partners and stakeholders to identify AI opportunities.
- Collaborate actively with teams to translate business needs into actionable AI development plans across multiple development groups.
- Facilitate AI discovery workshops and proof-of-concept (PoC) initiatives.
Technical Leadership & Governance (10%)
- Establish and enforce architectural principles standards and governance to ensure consistency and quality across all AI projects.
- Mentor engineers software developers and QAs to ensure high-quality AI implementation.
- Ensure AI models comply with data security privacy and regulatory policies.
Reports to the VP of Data Analytics Architecture and AI
- Great attitude and work ethic that inspires others in the organization.
- Team builder identify and develop the skills competencies & behaviours within the software engineering team to support continued rapid growth of the business.
- Great teammate - develop strong collaboration with peers across the organization including product management customer support sales and information assurance.
- Disciplined work closely with peer functions to ensure predictable and reliable achievement of objectives (e.g. roadmap execution budgets etc.).
- Highly motivated proactive creative and self-directed with a commitment to excellence.
- Exceptional analysis and troubleshooting skills and persistence in solving problems.
- Exceptional research skills combined with the ability to generate options to make technology and architectural decisions.
- Able to switch context between the big picture and the details to identify and evangelize the creation of effective user experiences.
- Ability to lead change and turn something that is ambiguous into something that is structured (comfort with ambiguity and change in general).
- Leader that will embrace Fortive Business System and tools to drive growth.
- Expertise developing large scale web applications and a thorough understanding of common architecture choices for them.
- Experience with LLMs such as GPT BERT OpenAI Hugging Face Gemini LLAMA etc.
- Knowledge of modern ML toolkits and frameworks (PyTorch TensorFlow Hugging Face LangChain etc.).
- Hands-on experience training AI/ML models including foundation models fine-tuned models or specialized domain models.
- Experience in Vector Databases and Retrieval-Augmented Generation (RAG).
Cloud & Data Architecture.
- Hands-on expertise with Azure AI Services or AWS AI/ML
- Previous experience in full stack development across different technical stacks including JavaScript (ReactJS / Webpack) server (.net core) and cloud (AWS Azure) or equivalent experience.
- A solid understanding of object-oriented programming and microservices.
- 5 years of experience leading the AI/Machine Learning development lifecycle from conception to delivery.
- 3 years of experience a leadership role guiding AI strategy and implementation.
- Strong understanding of Software Development Lifecycle and Agile Scrum development methodology and in leading Agile Scrum development teams.
- Five or more years professional experience preferred.
- Professional experience within a software product or SaaS organization preferred.
- Bachelors degree in Computer Engineering Computer Science Information Systems AI Machine Learning Data Science or a related field.
- Masters Degree and/or vendor certifications (such as Microsoft Certified Professional) valued.
- Please note that this role requires a satisfactory Criminal Background Check and Public Safety Verification.
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race religion color national origin sex gender gender expression sexual orientation age marital status veteran status or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process to perform essential job functions and to receive other benefits and privileges of employment. Please contact us to request accommodation.
With more than 1300 clients and 1.6 million users Intelex Technologies ULC is a global leader in environmental health safety and quality (EHSQ) management software. Since 1992 its scalable web-based platform and applications have helped clients across all industries improve business performance mitigate organization-wide risk and ensure sustained compliance with internationally accepted standards (e.g. ISO 9001 ISO 14001 ISO 45001 and OHSAS 18001) and regulatory requirements. Intelex is one of North Americas fastest-growing tech companies who has recently been recognized as a Great Place to Work for over 7 years Best Workplace in Technology Best Workplace for Millennials and Canadian HR Team for fewer than 500 employees and has been recipient of Waterstones Most Admired Corporate Cultures award and Deloittes Best Managed Companies award. For more information visit see what our employees are saying by following our #ProudIntelexian hashtag.
DescriptionDescriptionIntelex is on the lookout for an AI solution Architect to join our AI team working on innovative and transformative solutions that will drive our companys strategic direction in the ever-evolving realm of AI technology & New Initiatives. The AI Solution Architect is responsible...
DescriptionIntelex is on the lookout for an AI solution Architect to join our AI team working on innovative and transformative solutions that will drive our companys strategic direction in the ever-evolving realm of AI technology & New Initiatives. The AI Solution Architect is responsible for providing technical leadership in the solution and implementation design of Intelex AI features during the entire customer cycle. The position works closely with various stakeholders including engineering product and services teams to ensure that our technology solutions are scalable sustainable and aligned with industry best practices. The position requires a deep understanding of design and configuration in our platform; as well as excellent communication and planning skills.
Responsibilities and Deliverables
AI Solution Development & Integration (50%)
- Design and implement robust AI solutions such as LLMs RAG and orchestration frameworks like LangGraph that integrates with existing systems and infrastructure while allowing for future scalability.
- Define AI/ML solution architecture guiding teams in model selection deployment and optimization.
- Ensure AI models are scalable explainable and robust addressing bias drift and model governance.
- Guide the development and deployment of robust scalable AI systems by following established MLOps principles.
AI Strategy & Architecture Development (20%)
- Develop and maintain an AI architecture strategy ensuring alignment with business goals.
- Define AI integration patterns within enterprise applications leveraging cloud-based AI services and APIs.
- Establish AI governance frameworks ensuring compliance with security privacy and ethical AI standards.
- Research emerging AI trends and ensure the organization stays ahead in AI adoption.
Business Engagement & Use Case Identification (20%)
- Work closely with business units partners and stakeholders to identify AI opportunities.
- Collaborate actively with teams to translate business needs into actionable AI development plans across multiple development groups.
- Facilitate AI discovery workshops and proof-of-concept (PoC) initiatives.
Technical Leadership & Governance (10%)
- Establish and enforce architectural principles standards and governance to ensure consistency and quality across all AI projects.
- Mentor engineers software developers and QAs to ensure high-quality AI implementation.
- Ensure AI models comply with data security privacy and regulatory policies.
Reports to the VP of Data Analytics Architecture and AI
- Great attitude and work ethic that inspires others in the organization.
- Team builder identify and develop the skills competencies & behaviours within the software engineering team to support continued rapid growth of the business.
- Great teammate - develop strong collaboration with peers across the organization including product management customer support sales and information assurance.
- Disciplined work closely with peer functions to ensure predictable and reliable achievement of objectives (e.g. roadmap execution budgets etc.).
- Highly motivated proactive creative and self-directed with a commitment to excellence.
- Exceptional analysis and troubleshooting skills and persistence in solving problems.
- Exceptional research skills combined with the ability to generate options to make technology and architectural decisions.
- Able to switch context between the big picture and the details to identify and evangelize the creation of effective user experiences.
- Ability to lead change and turn something that is ambiguous into something that is structured (comfort with ambiguity and change in general).
- Leader that will embrace Fortive Business System and tools to drive growth.
- Expertise developing large scale web applications and a thorough understanding of common architecture choices for them.
- Experience with LLMs such as GPT BERT OpenAI Hugging Face Gemini LLAMA etc.
- Knowledge of modern ML toolkits and frameworks (PyTorch TensorFlow Hugging Face LangChain etc.).
- Hands-on experience training AI/ML models including foundation models fine-tuned models or specialized domain models.
- Experience in Vector Databases and Retrieval-Augmented Generation (RAG).
Cloud & Data Architecture.
- Hands-on expertise with Azure AI Services or AWS AI/ML
- Previous experience in full stack development across different technical stacks including JavaScript (ReactJS / Webpack) server (.net core) and cloud (AWS Azure) or equivalent experience.
- A solid understanding of object-oriented programming and microservices.
- 5 years of experience leading the AI/Machine Learning development lifecycle from conception to delivery.
- 3 years of experience a leadership role guiding AI strategy and implementation.
- Strong understanding of Software Development Lifecycle and Agile Scrum development methodology and in leading Agile Scrum development teams.
- Five or more years professional experience preferred.
- Professional experience within a software product or SaaS organization preferred.
- Bachelors degree in Computer Engineering Computer Science Information Systems AI Machine Learning Data Science or a related field.
- Masters Degree and/or vendor certifications (such as Microsoft Certified Professional) valued.
- Please note that this role requires a satisfactory Criminal Background Check and Public Safety Verification.
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race religion color national origin sex gender gender expression sexual orientation age marital status veteran status or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process to perform essential job functions and to receive other benefits and privileges of employment. Please contact us to request accommodation.
With more than 1300 clients and 1.6 million users Intelex Technologies ULC is a global leader in environmental health safety and quality (EHSQ) management software. Since 1992 its scalable web-based platform and applications have helped clients across all industries improve business performance mitigate organization-wide risk and ensure sustained compliance with internationally accepted standards (e.g. ISO 9001 ISO 14001 ISO 45001 and OHSAS 18001) and regulatory requirements. Intelex is one of North Americas fastest-growing tech companies who has recently been recognized as a Great Place to Work for over 7 years Best Workplace in Technology Best Workplace for Millennials and Canadian HR Team for fewer than 500 employees and has been recipient of Waterstones Most Admired Corporate Cultures award and Deloittes Best Managed Companies award. For more information visit see what our employees are saying by following our #ProudIntelexian hashtag.
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