Ai Solutions Architect - Cloud Platforms

About the RoleOur client is at the forefront of AI innovation and is seeking a visionary AI Solutions Architect to join their fully remote team.
This role is crucial for designing and implementing scalable, robust, and efficient AI solutions on leading cloud platforms.
As an AI Solutions Architect, you will translate complex business requirements into practical, deployable AI architectures, guiding development teams and ensuring alignment with strategic goals.
You will work with a diverse range of clients and internal stakeholders, leveraging your expertise to architect solutions that harness the power of machine learning and artificial intelligence.
This is an exceptional opportunity for a motivated professional to shape the future of AI adoption and impact numerous industries from a remote setting.
The ideal candidate is a strategic thinker with a deep technical understanding of AI/ML, cloud infrastructure, and solution design, possessing excellent communication skills to articulate technical strategies to both technical and non-technical audiences.Key ResponsibilitiesDesign and architect end-to-end AI/ML solutions leveraging cloud services (AWS, Azure, GCP).
Collaborate with clients and internal teams to understand business needs and translate them into technical requirements and architectural blueprints.Provide technical leadership and guidance on AI/ML best practices, patterns, and technologies.Develop reference architectures and proof-of-concepts for various AI use cases.Evaluate and recommend appropriate AI/ML tools, platforms, and services.Ensure the scalability, security, and cost-effectiveness of proposed AI solutions.Stay updated with the latest advancements in AI, machine learning, and cloud technologies.Document architectural designs, technical specifications, and deployment guides.Facilitate knowledge sharing and best practices across engineering and data science teams.RequirementsBachelor's or Master's degree in Computer Science, Engineering, or a related technical field.Extensive experience (7+ years) in solution architecture, with a significant focus on AI/ML and cloud platforms.Deep understanding of cloud computing principles and services from at least one major provider (AWS, Azure, GCP).
Proven experience designing and implementing scalable AI/ML solutions in production environments.Familiarity with various AI/ML techniques, including supervised/unsupervised learning, deep learning, NLP, and computer vision.Strong understanding of data engineering, MLOps, and CI/CD principles.Excellent analytical, problem-solving, and strategic thinking abilities.Exceptional communication, presentation, and interpersonal skills.Ability to work autonomously and manage multiple projects simultaneously in a remote setting.Relevant cloud certifications (e.g., AWS Certified Machine Learning – Specialty, Azure AI Engineer Associate) are highly desirable.BenefitsCompetitive salary and comprehensive benefits package.Full remote work flexibility.Generous annual leave and paid time off.Professional development opportunities, including certifications and training.Access to cutting-edge AI and cloud technologies.Opportunity to work on impactful projects with leading organizations.A collaborative and innovative virtual work environment.Performance bonuses and potential for equity.
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