GenAI Solution Architect

We are seeking an experienced GenAI Agentic Solution Architect to analyze business use cases and design end-to-end AI-driven solution architectures. This role requires close collaboration with business and technical stakeholders to translate requirements into scalable, secure, and actionable AI architectures. The ideal candidate will produce clear architectural designs and implementation guidance that enable development teams to successfully deliver agent-based AI solutions.

Key Responsibilities

• Collaborate with business and technical stakeholders to review, analyze, and understand AI use cases and functional requirements.
• Evaluate use cases to identify AI/ML opportunities, technical constraints, and implementation risks.
• Design scalable, secure, and efficient AI solution architectures aligned with business objectives.
• Create detailed architecture diagrams and documentation, including solution components, data flows, system integrations, and deployment models.
• Deliver clear, actionable architectural artifacts and technical guidance to support development and implementation teams.
• Recommend and evaluate appropriate AI platforms, frameworks, and agent development kits, including but not limited to:
  • Google ADK
  • CrewAI
  • LangGraph
  • OpenAI ADK
  • OCI ADK and OCI Agents
• Ensure solution designs adhere to Responsible AI principles, including explainability, fairness, and compliance.
• Incorporate role-based access control (RBAC), data privacy, and security best practices into all architectures.
• Stay current with emerging AI technologies, tools, and industry best practices to continuously enhance solution designs.
• Provide technical guidance, mentorship, and training related to AI architecture and agentic solution design as required.

Preferred Qualifications

• Experience working in financial services or SOX-compliant / sensitive data environments.
• Proven experience with enterprise-scale AI deployments and AI governance frameworks.
• Certifications in AI architecture, cloud platforms, or related technologies (AWS, Azure, Google Cloud Platform, OCI, etc.).
• Strong understanding of cloud-native architectures and secure enterprise integrations.
• Excellent communication and stakeholder management skills.