Solution Architect

About Our Client:The organization operates in the AI and data science software industry, addressing the challenge of enabling large, AI-driven companies to build and manage advanced data science and AI solutions efficiently at scale. By providing a platform that integrates model development, MLOps capabilities, and features for collaboration and reproducibility, the program helps data science teams increase productivity, accelerate time to value, and maintain compliance. Its software supports organizations tackling critical challenges in sectors such as healthcare, finance, and defense. About the Opportunity:The SOLUTION ARCHITECT leads technical implementation for strategic deployments across multi-cloud, on-premises, and hybrid environments, ensuring enterprise AI/ML solutions operate at scale. This role designs comprehensive reference architectures suited for regulated environments and creates integrations within the AI/ML ecosystem. The architect collaborates closely with sales and engineering teams to tailor solutions to real customer use cases and influences product development by providing field insights. Responsibilities:Lead technical execution of strategic enterprise AI/ML deployments.Design end-to-end reference architectures addressing data, identity, security, and infrastructure in regulated settings.Develop and document system integrations across AI/ML tools and platforms.Collaborate with account and sales engineering teams on scoping, demonstrations, and proofs of concept.Translate field experience into actionable product and engineering roadmap input. Requirements:Minimum 5 years of hands-on Kubernetes experience in production environments, including upgrades, migrations, and multi-region disaster recovery.Proven enterprise Kubernetes implementations in cloud or on-premises environments; PoCs and Terraform-only projects are insufficient.Experience managing strategic customer relationships at the CTO or platform-lead level.Practical knowledge of at least one major cloud provider (AWS, Azure, or GCP), with Azure experience preferred.Ability to design architectures meeting security and compliance requirements in audited environments.Hands-on experience with AI/ML or data platforms, especially MLOps tools in regulated contexts, is a strong plus. Pay Range and Compensation Package:The annual US base salary range for this role is $200,000 to $250,000 USD.Additional benefits may include equity, company bonuses or sales commissions, 401(k) plan, medical, dental, and vision benefits, and wellness stipends. Benefits & Perks:Medical insuranceVision insuranceDental insurance401(k) plan Equal Opportunity Statement: Our client is an equal opportunity employer. They celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, or national origin. Note:RemoteHunter is a recruitment partner of this role. Please note that all employment decisions, including candidate assessment, interviews, hiring, compensation, and employment terms, are made exclusively by the hiring employer.