AI/ML Solutions Architect

Job Summary Seeking an experienced AI/ML Solutions Architect with extensive expertise in software engineering, solution architecture, enterprise architecture, cloud platforms, and AI/ML solutions. The ideal candidate will have strong experience architecting and implementing AI/ML and Generative AI solutions, leading complex cloud environments, and designing scalable, secure, highly available, and cost-effective enterprise systems. Key Responsibilities Lead technical architecture and solution design activities for complex software and technology implementation projects. Architect, design, and implement AI/ML use cases and Generative AI solutions. Develop end-to-end cloud architecture solutions across AWS, Azure, and/or Google Cloud Platform environments. Lead architecture initiatives involving multi-tier applications, enterprise integrations, migrations, and complex cloud environments. Design highly available and fault-tolerant systems across SaaS, PaaS, and IaaS environments. Develop cloud cost optimization strategies and support FinOps initiatives. Design and implement AI infrastructure, agentic workflows, and orchestration solutions. Apply Generative AI design patterns and AI architecture best practices. Design hybrid and multi-cloud architectures aligned with business and technical requirements. Incorporate security, compliance, and AI Governance requirements into solution architectures. Design microservices, distributed systems, event-driven architectures, and API-based solutions. Collaborate closely with IT divisions, business stakeholders, development teams, and other technical teams. Ensure solutions follow applicable SDLC methodologies, implementation standards, processes, procedures, and best practices. Provide technical leadership and guidance throughout solution implementation and delivery. Required Qualifications 15+ years of experience in the Information Technology field, including roles such as Technical Developer/Lead, Software Engineer, Application Architect, Enterprise Architect, or related positions. 10+ years of experience working with open and non-proprietary SDLC methodologies and leading technical aspects of software or solution implementation projects. 7+ years of experience architecting, designing, and implementing AI/ML use cases or Generative AI solutions. 5+ years of experience leading cloud architecture initiatives using AWS, Azure, and/or Google Cloud Platform in large or complex environments. Proven experience delivering end-to-end cloud solutions across multi-tier applications, enterprise integrations, or migrations. 3+ years of experience designing high-availability and fault-tolerant systems. 3+ years of experience developing cost optimization strategies across SaaS, PaaS, and IaaS environments. 2+ years of experience working with AI infrastructure, agentic workflows, and orchestration. 2+ years of experience with Generative AI architecture and design patterns. 2+ years of experience with cloud strategy, FinOps, hybrid cloud, and multi-cloud environments. 2+ years of experience with security, compliance, and AI Governance. 2+ years of experience designing microservices, distributed systems, event-driven architectures, and API-based solutions. Strong collaboration, communication, technical leadership, and problem-solving skills. Education: Bachelors Degree