AI Solutions Architect at Fortive

, , United States -

Full Time

Start Date

Immediate

Expiry Date

04 Mar, 26

Salary

0.0

Posted On

04 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AI Solutions Architecture, MLOps, AI Governance, Model Deployment, Scalability, Bias Mitigation, Cloud Architecture, Full Stack Development, JavaScript, ReactJS, Azure AI Services, AWS AI/ML, Object-Oriented Programming, Microservices, Machine Learning, Data Security, Agile Scrum

Industry

electrical;Appliances;and Electronics Manufacturing

Description

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. Develop and maintain an AI architecture strategy, ensuring alignment with business goals. Establish AI governance frameworks, ensuring compliance with security, privacy, and ethical AI standards. 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. 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). 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 framework, .net core), and cloud (AWS, Azure) or equivalent experience. A solid understanding of object-oriented programming and microservices. Required: 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. Required: Bachelor's degree in Computer Engineering, Computer Science, Information Systems, AI, Machine Learning, Data Science, or a related field. Master's 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.

Responsibilities

Design and implement robust AI solutions while ensuring scalability and integration with existing systems. Guide teams in model selection, deployment, and optimization, while establishing AI governance frameworks.