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RSM is seeking an Applied AI Solutions Architect who will design and implement AI-driven solutions to align with business strategies, ensuring ethical and high-performing systems. The role requires technical expertise in AI/ML and the ability to collaborate with cross-functional teams, while also advocating for innovative practices.
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Job Summary
The Applied AI Solutions Architect is a strategic role responsible for designing, implementing, and managing AI-driven solutions that align with business objectives.
This position bridges technical expertise in artificial intelligence (AI) and machine learning (ML) with business strategy, ensuring scalable, ethical, and high-performing AI systems.
RSM offers a competitive benefits and compensation package for all our people, with flexibility in your schedule.
Matching Summary
Match Score: 75
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RSM is seeking an Applied AI Solutions Architect who will design and implement AI-driven solutions to align with business strategies, ensuring ethical and high-performing systems. The role requires technical expertise in AI/ML and the ability to collaborate with cross-functional teams, while also advocating for innovative practices.
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Skills & Requirements
Must-have
AI/ML pipelines
Generative AI
Retrieval-Augmented Generation (RAG)
Python, R, or Julia
TensorFlow, PyTorch, Hugging Face, or Scikit-learn
Cloud platforms (AWS, Azure, Google Cloud)
MLOps tools and CI/CD pipelines
Nice-to-have
Thought leadership
Mentorship
Cross-functional collaboration
Responsible AI practices
Key Requirements
8+ years of experience in ML engineering, data science, or software architecture
3+ years in AI/ML solution design
Proven track record of deploying AI solutions in production environments
Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field