AI Solutions Architect
Intelex Technologies ULC · United States
- Hybrid
- Full-time
- CA$155,000 / year
- United States
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Job highlights
- Lead AI solutions development and integration.
- Define AI strategy and architecture.
- Engage business for AI use cases.
- Provide technical leadership and governance.
- Utilize expertise in LLMs, RAG, and cloud.
About the role
About Intelex Technologies ULC
Since 1992, Intelex Technologies, ULC. has been a global leader in developing and supporting software solutions for Environment, Health, Safety, and Quality (EHSQ) programs. Our scalable, web-based software provides clients with unprecedented flexibility in managing, tracking, and reporting on essential corporate information. Intelex software integrates seamlessly with common ERP systems like SAP and PeopleSoft, creating a unified solution for enterprise-wide information management. Our dedicated staff ensures our nearly 1400 clients and over 3.5 million users worldwide maximize the benefits of our groundbreaking, user-friendly software solutions. Visit www.intelex.com to learn more. Intelex is an equal opportunity employer and values diversity. 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 provide reasonable accommodation for individuals with disabilities in the job application and interview process. Contact us to request accommodation.About Fortive Corporation
Fortive's essential technology makes the world safer and more productive. We accelerate transformation in high-impact fields like workplace safety, build environments, and healthcare. We are a global industrial technology innovator with a startup spirit. Our forward-looking companies lead the way in healthcare sterilization, industrial safety, predictive maintenance, and other mission-critical solutions. We're a force for progress, working alongside our customers and partners to solve challenges on a global scale, from workplace safety in the most demanding conditions to advanced technologies that help providers focus on exceptional patient care. We are a diverse team 10,000 strong, united by a dynamic, inclusive culture and energized by limitless learning and growth. We use the proven Fortive Business System (FBS) to accelerate our positive impact.AI Solutions Architect Role Overview
Intelex is seeking an AI Solutions Architect to join our AI team. You will work on innovative and transformative solutions driving our company's strategic direction in AI technology and new initiatives. This role provides technical leadership in the design and implementation of Intelex AI features throughout the customer lifecycle, collaborating closely with engineering, product, and services teams to ensure scalable, sustainable, and best-practice aligned technology solutions. A deep understanding of our platform's design and configuration, coupled with excellent communication and planning skills, is essential.Responsibilities And Deliverables
AI Solution Development & Integration (50%)
- Design and implement robust AI solutions, including LLMs, RAG, and orchestration frameworks like LangGraph, integrating with existing systems 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 following MLOps principles.
- Design and deliver agentic systems, including tool orchestration, agentic workflows, agents in the SDLC, and the Model Context Protocol (MCP).
AI Strategy & Architecture Development (20%)
- Develop and maintain an AI architecture strategy aligned with business goals.
- Define AI integration patterns within enterprise applications using cloud-based AI services and APIs.
- Establish AI governance frameworks, ensuring compliance with security, privacy, and ethical AI standards.
- Research emerging AI trends to keep the organization at the forefront of AI adoption.
Business Engagement & Use Case Identification (20%)
- Collaborate with business units, partners, and stakeholders to identify AI opportunities.
- 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 for AI projects.
- Mentor engineers, software developers, and QAs for high-quality AI implementation.
- Ensure AI models comply with data security, privacy, and regulatory policies.
Qualifications
Skills & Work Traits
- Inspiring attitude and work ethic.
- Team builder adept at developing skills within the software engineering team.
- Strong collaborator across product management, customer support, sales, and information assurance.
- Disciplined in achieving objectives like roadmap execution and budget management.
- Highly motivated, proactive, creative, and self-directed.
- Exceptional analysis, troubleshooting, and problem-solving persistence.
- Exceptional research skills for technology and architectural decision-making.
- Ability to balance big-picture thinking with detailed execution.
- Comfort with ambiguity and driving change from abstract concepts to structured solutions.
- Leader embracing the Fortive Business System (FBS) to drive growth.
Technical Competencies
- Expertise in large-scale web application development and common architecture choices.
- Experience with LLMs (e.g., GPT, BERT, OpenAI, Anthropic, Hugging Face, Gemini, LLAMA).
- Knowledge of modern ML toolkits and frameworks (PyTorch, TensorFlow, Hugging Face, LangChain).
- Hands-on experience training AI/ML models (foundation, fine-tuned, specialized).
- Experience in Vector Databases and Retrieval-Augmented Generation (RAG).
- Cloud & Data Architecture expertise.
- Hands-on expertise with Azure AI Services or AWS AI/ML.
- Full-stack development experience (JavaScript/ReactJS/Webpack, .net, .net core).
- Solid understanding of object-oriented programming and microservices.
- Experience using AI pair programming tools and coaching others on their responsible use.
- Working knowledge of cloud infrastructure (API Gateway, Lambda, IAM, networking) for architectural defense and customer interactions.
Experience
- Required: 3+ years leading the AI/ML development lifecycle from conception to delivery.
- Required: 3+ years in a leadership role guiding AI strategy and implementation.
- Required: Strong understanding of Software Development Lifecycle (SDLC) and Agile Scrum methodology, including leading Agile Scrum teams.
- Preferred: Five or more years of professional experience.
- Preferred: Professional experience in a software product or SaaS organization.
Education
- Required: Bachelor's degree in Computer Engineering, Computer Science, Information Systems, AI, Machine Learning, Data Science, or related field.
- Preferred: Master’s Degree and/or relevant vendor certifications (e.g., Microsoft Certified Professional).
Other Requirements
- Satisfactory Criminal Background Check and Public Safety Verification required.
Compensation & Perks
- Eligible for bonus as part of the total compensation package.
- Salary Range: 128,700.00 - 181,400.00 (in local currency).
Key skills/competency
- AI Solutions Architect
- LLMs
- RAG
- LangGraph
- MLOps
- Cloud Architecture
- Azure AI
- AWS AI/ML
- Vector Databases
- AI Strategy
Skills & topics
- AI Solutions Architect
- Artificial Intelligence
- Machine Learning
- LLM
- RAG
- Cloud Architecture
- MLOps
- Azure AI
- AWS AI/ML
- Vector Databases
- AI Strategy
- Technical Leadership
- Software Development
- SaaS
How to get hired
- Tailor your resume: Highlight your experience with LLMs, RAG, LangGraph, and cloud AI services, emphasizing leadership in AI development lifecycles.
- Showcase technical skills: Detail your hands-on experience with AI/ML model training, vector databases, and specific cloud platforms like Azure AI or AWS AI/ML.
- Demonstrate leadership: Provide examples of guiding AI strategy, implementing MLOps principles, and mentoring engineering teams.
- Prepare for interviews: Be ready to discuss AI architecture, ethical AI considerations, and how you translate business needs into technical AI solutions.
- Understand the company: Research Intelex's EHSQ software solutions and Fortive's mission to understand how AI drives their business forward.
Technical preparation
Master LLMs, RAG, and orchestration frameworks.,Gain hands-on experience with Azure/AWS AI services.,Practice designing scalable AI/ML architectures.,Understand MLOps principles and vector databases.
Behavioral questions
Describe a complex AI problem you solved.,How do you mentor junior engineers?,How do you balance strategy with implementation details?,How do you handle ambiguity and drive change?
Frequently asked questions
- What is the salary range for an AI Solutions Architect at Intelex Technologies ULC?
- The salary range for the AI Solutions Architect position at Intelex Technologies ULC is approximately 128,700.00 to 181,400.00 in local currency, with eligibility for bonus compensation.
- What are the key technical skills required for the AI Solutions Architect role at Intelex?
- Key technical skills include expertise in LLMs (GPT, BERT, etc.), RAG, orchestration frameworks like LangGraph, MLOps, cloud AI services (Azure, AWS), vector databases, and full-stack development.
- Does Intelex Technologies ULC offer remote work for AI Solutions Architects?
- The job description does not explicitly state the work arrangement. Based on typical roles of this nature and the emphasis on technical leadership and collaboration, it is likely a hybrid or on-site position. Please confirm with the hiring manager.
- What kind of AI solutions will I be working on as an AI Solutions Architect at Intelex?
- You will be designing and implementing robust AI solutions such as LLMs, RAG, and orchestration frameworks like LangGraph, as well as agentic systems, integrating them with existing enterprise applications.
- What is the educational requirement for an AI Solutions Architect at Intelex?
- A Bachelor's degree in a related field like Computer Engineering, Computer Science, AI, Machine Learning, or Data Science is required. A Master's degree or relevant vendor certifications are preferred.
- How does Intelex use AI in its recruitment process for the AI Solutions Architect position?
- Intelex uses an AI-powered tool from Eightfold AI to help match relevant jobs to your skills and assists recruiters in assessing applications. However, hiring decisions are not solely based on this AI tool.
- What experience is necessary to be considered for the AI Solutions Architect role at Intelex?
- A minimum of 3 years of experience leading the AI/ML development lifecycle and 3 years in a leadership role guiding AI strategy and implementation are required. Five or more years of professional experience is preferred.
- What are the opportunities for growth as an AI Solutions Architect at Intelex?
- The role offers opportunities to drive strategic direction in AI, mentor engineers, research emerging trends, and contribute to innovative solutions. The company culture emphasizes learning and growth, supported by the Fortive Business System.