Coach Jobs

About The Position

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