AI Solutions Architect

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Fortive

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Enterprise • Healthcare Insurance

Fortive is a global industrial technology company that specializes in delivering advanced healthcare solutions, intelligent operating solutions, and precision technologies. With a team of 18,000 employees, Fortive works on solving tough technical challenges, empowering safer, smarter, and more efficient industrial operations. The company emphasizes sustainability, integrity, and continuous improvement, striving for a future that's stronger, safer, and smarter. Fortive has been recognized as one of America's Most Responsible Companies, demonstrating its commitment to positive social and environmental impact.

10,000+ employees

Founded 2016

🏢 Enterprise

⚕️ Healthcare Insurance

💰 Post-IPO Equity on 2020-03

📋 Description

• 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. • 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.

🎯 Requirements

• 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. • 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). • 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.

🏖️ Benefits

• Health insurance • 401(k) matching • Flexible work hours • Professional development • Remote work options