Kaygen, Inc.

AI Architect

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an AI Architect with a contract length of "Unknown," offering a pay rate of "Unknown," and is remote. Key skills include expertise in AI/ML, cloud platforms, and programming languages. Experience in enterprise AI solutions is required.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
920
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πŸ—“οΈ - Date
May 5, 2026
πŸ•’ - Duration
Unknown
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🏝️ - Location
Unknown
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πŸ“„ - Contract
Unknown
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πŸ”’ - Security
Unknown
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πŸ“ - Location detailed
Irvine, CA
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🧠 - Skills detailed
#Microsoft Azure #AI (Artificial Intelligence) #Deployment #Compliance #Cloud #Azure #Project Management #Data Science #TensorFlow #Libraries #Spark (Apache Spark) #Data Pipeline #Apache Kafka #Databases #Statistics #Data Analysis #Data Governance #Apache Spark #Hadoop #Python #Scala #R #Programming #Web Services #Data Privacy #ML (Machine Learning) #Deep Learning #Security #AWS (Amazon Web Services) #PyTorch #Java #Data Modeling #Big Data #Leadership #Data Processing #Visualization #Kafka (Apache Kafka) #Consulting
Role description
KAYGEN is an emerging leader in providing top talent for technology-based staffing services. We specialize in providing high-volume contingent staffing, direct hire staffing and project-based solutions to companies worldwide ranging from startups to Fortune 500 and Managed Service Providers (MSP) across a wide variety of industries. Job Title: AI Architect Job Summary We are seeking an experienced AI Architect to lead the design, development, and deployment of scalable AI/ML solutions. This role requires a blend of deep technical expertise and leadership capability to architect enterprise-grade AI systems, guide cross-functional teams, and ensure alignment with business objectives. Key Responsibilities Technical Responsibilities β€’ Architectural Design: Design end-to-end AI/ML architectures, including data pipelines, model training frameworks, deployment strategies, and system integration. β€’ Technology Evaluation & Selection: Assess and recommend appropriate tools, platforms, and frameworks based on scalability, performance, cost, and enterprise compatibility. β€’ Model Development Oversight: Lead and oversee the development, training, validation, and optimization of machine learning and deep learning models to meet business KPIs. β€’ System Integration: Ensure seamless integration of AI solutions with existing enterprise systems, applications, and databases. Managerial Responsibilities β€’ Team Leadership: Lead, mentor, and develop a team of data scientists, ML engineers, and AI specialists to drive innovation and delivery excellence. β€’ Project Management: Manage AI initiatives end-to-end, ensuring delivery within scope, timeline, and budget. β€’ Stakeholder Communication: Translate complex AI concepts into business-friendly insights for stakeholders, ensuring alignment and informed decision-making. β€’ Compliance & Ethics: Ensure AI systems comply with regulatory requirements and ethical standards, including data privacy, fairness, and bias mitigation. Required Skills & Qualifications Technical Skills β€’ Machine Learning & Deep Learning: Strong expertise in ML algorithms and deep learning frameworks such as TensorFlow and PyTorch. β€’ Data Science & Analytics: Solid foundation in statistics, data modeling, data analysis, and visualization techniques. β€’ Programming Languages: Proficiency in Python, R, and/or Java, with experience using AI/ML libraries and toolkits. β€’ Cloud Computing: Hands-on experience with cloud platforms such as Amazon Web Services (AWS), Microsoft Azure, and Google Cloud, including their AI/ML services. β€’ Big Data Technologies: Experience with distributed data processing tools like Apache Hadoop, Apache Spark, and Apache Kafka. Preferred Qualifications β€’ Experience designing AI solutions in enterprise environments β€’ Familiarity with MLOps practices, CI/CD pipelines, and model lifecycle management β€’ Strong understanding of data governance and security best practices β€’ Prior experience in stakeholder-facing or consulting roles Soft Skills β€’ Strong leadership and mentoring abilities β€’ Excellent communication and stakeholder management skills β€’ Strategic thinking and problem-solving mindset β€’ Ability to work in a fast-paced, cross-functional environment. At KAYGEN, we are always looking for dynamic, talented and experienced individuals. We invite you to join our team of talented IT professionals, consulting at client locations across the globe. Our culture is team-orientated; we strive to stand by our core values of respect, honesty and integrity. Our team of experienced staffing experts will work with you to find you the best opportunity. For more information, please visit us at www.kaygen.com. Benefits: β€’ Free Healthcare Insurance β€’ Vision and Dental Insurance β€’ 401(k) Retirement Plan β€’ Free Life Insurance β€’ Sick Time Off Achieve your Kaizen by clicking here. A unique and exclusive talent community supported by Kaygen, that includes programs like: β€’ Certifications β€’ Mentorship Program β€’ Referrals β€’ Family and Wellness benefits β€’ Continuous Growth and Career DevelopmentΒ