AI Solutions Architect

Fortive

20h

About The Position

Intelex is seeking an AI Solutions Architect to join our AI team, focusing on innovative and transformative solutions that will drive the 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. The position collaborates with engineering, product, and services teams to ensure scalable, sustainable technology solutions aligned with industry best practices. A deep understanding of platform design and configuration, along with excellent communication and planning skills, is essential.

Requirements

• 3+ years of experience leading the AI/Machine Learning development lifecycle from conception to delivery.
• 3+ years of experience in 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.
• Expertise developing large scale web applications and a thorough understanding of common architecture choices for them.
• Experience with LLMs such as GPT, BERT, OpenAI, Anthropic, 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 framework, .net core), and cloud (AWS, Azure) or equivalent experience.
• A solid understanding of object-oriented programming and microservices.
• Experience using AI pair programming tools (e.g., Claude Code), with a clear point of view on when to use them vs. when not to, and the ability to coach other engineers on effective and responsible use.
• Working knowledge of cloud infrastructure (e.g., API Gateway, Lambda functions, IAM, networking) sufficient to produce and defend architecture diagrams for customer-facing AI review boards, and comfort representing Intelex AI externally in customer conversations.
• Bachelor's degree in Computer Engineering, Computer Science, Information Systems, AI, Machine Learning, Data Science, or a related field.
• 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.

Nice To Haves

• Five or more years professional experience preferred.
• Professional experience within a software product or SaaS organization preferred.
• Master’s Degree and/or vendor certifications (such as Microsoft Certified Professional) valued.

Responsibilities

• Design and implement robust AI solutions such as LLMs, RAG, and orchestration frameworks like LangGraph that integrate 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.
• Design and deliver agentic systems, including tool orchestration, agentic workflows, agents embedded in the SDLC, and the Model Context Protocol (MCP).
• 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.
• 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.
• 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.

Benefits

• Criminal Background Check and Public Safety Verification

What This Job Offers

• Job Type: Full-time
• Career Level: Senior