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 GCP 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 GCP 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.