AI Solutions Architect

Job not on LinkedIn

2 hours ago

🌾 Iowa – Remote

Although this job is listed in Iowa, this company may be open to hiring remote in other states.

⏰ Full Time

🟠 Senior

🔴 Lead

🏛️ Architect

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LGI Healthcare Solutions

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For over 40 years, LGI Healthcare Solutions has distinguished itself through a rich and diversified solutions portfolio. We help improve the performance of healthcare facilities and the experience of their staff and patients. We serve thousands of facilities across Canada, the United States, Australia, the United Kingdom, and France.

201 - 500 employees

📋 Description

• Develop and lead the AI architecture strategy, aligned with business objectives and the company’s innovation priorities • Design and oversee the implementation of AI and generative AI solutions (RAG, integrations, orchestrations) • Serve as the convergence point between architects, data engineers, developers, RPA teams, security and business partners to ensure smooth and coherent AI initiatives • Actively participate in the implementation of initial AI solutions (prototypes, RAG integrations, orchestrations) to validate approaches and accelerate adoption across teams • Mentor and guide technical teams in designing and deploying new AI architectures while supporting internal upskilling on these technologies • Establish governance, ethics and security principles to ensure responsible and transparent use of artificial intelligence • Maintain continuous technology watch to advise leadership on emerging trends and opportunities

🎯 Requirements

• University degree in Computer Science, Software Engineering, Data Science or equivalent • Significant experience (8+ years) in software architecture or AI/ML solutions • Strategic vision, technical leadership and excellent communication skills • Hands-on experience integrating or deploying AI solutions, ideally in complex or highly regulated environments • Strong understanding of AI architecture principles and patterns, including language models (LLMs), RAG approaches, indexing, embeddings and text data processing • Practical knowledge of AI tools and frameworks, cloud environments and CI/CD and MLOps practices • Understanding of core data fundamentals (quality, governance, ingestion, security) • Collaborative mindset and ability to work effectively in interdisciplinary environments • Strong ethical sense and understanding of privacy and compliance issues related to AI • Ability to evaluate and recommend emerging AI technologies, considering performance, longevity and security • Bilingualism

🏖️ Benefits

• Remote, on-site or hybrid work options, with flexible scheduling to support work-life balance and performance • Group insurance plan and group RRSP with employer contribution effective from day one • Minimum of 3 weeks' vacation plus 5 personal days per year • Access to telemedicine services and a comprehensive employee and family assistance program • Access to a recognized learning platform and allocated hours for training and professional development • Projects using Agile methodology • Employee discount program • An organizational culture rooted in the values of courage, determination, excellence and collaboration