Architect / Principal, AI ML Engineer

Job not on LinkedIn

🕒 May 25

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3Pillar Global

1001 - 5000 employees

☁️ SaaS

🏢 Enterprise

🤖 Artificial Intelligence

💰 Private Equity Round on 2021-10

SaaS • Enterprise • Artificial Intelligence

3Pillar Global is a modern application strategy, design, and engineering firm that specializes in delivering strategic software development initiatives for various industries. They offer a range of services, including application technology strategy, digital product engineering, data and analytics, and artificial intelligence development. 3Pillar Global focuses on helping organizations transform their bold ideas into breakthrough solutions by leveraging cutting-edge technologies such as generative and multimodal AI. They work with partners and clients across multiple sectors, including healthcare, financial services, insurance, media, and information services, to solve complex technology challenges and deliver high-performing results.

📋 Description

• Define end-to-end architecture for AI/ML solutions • Serve as a strategic advisor to clients • Architect scalable solutions using cloud-native AI tools • Lead integration of Generative AI into enterprise applications • Design retrieval-augmented generation (RAG) systems • Guide teams on MLOps frameworks • Evaluate build-vs-buy decisions for AI tools • Evaluate emerging technologies in AI space • Mentor technical teams and strengthen organizational expertise • Collaborate with leadership to align strategies with business objectives • Represent the organization at industry events • Drive cross-functional collaboration to identify opportunities

🎯 Requirements

• Master’s degree in Computer Science, Engineering, Mathematics, or a related field with 15+ years of industry experience • Strong grasp of AI architecture patterns • Deep experience with Python, ML libraries • Hands-on with Gen AI APIs • Experience designing enterprise AI systems with MLOps • Familiarity with APIs, microservices, and containerization • Experience in Data Governance, Model Risk Management, and compliance • Extensive knowledge of machine learning theory, algorithms, and methodologies • Strong leadership and communication skills • Demonstrated ability to think strategically and drive innovation

🏖️ Benefits

• flexible work environment • global team • well-being programs • career growth opportunities • equal opportunity employer

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