Technical Architect

Your Role

We are seeking a highly experienced Gen AI / Agentic Solution Lead responsible for shaping, designing, and delivering enterprise-scale Agentic AI solutions across IFAO/ ICO/ISCO Business Services. This role blends deep technical expertise in AI/ML with strong business acumen to drive innovation, reusability, and scalable deployments across multiple platforms and industries You will be leading cutting-edge AI solutions that drive business value and operational excellence.

• Master's degree in Computer Science, Engineering, Data Science, or related field (Ph.D. preferred).
• 6+ years of experience in enterprise architecture and solution delivery with a strong focus on ML and Generative AI.
• Proven track record in designing and deploying AI-powered solutions at scale in client-facing environments.
• Deep expertise in Agentic AI frameworks (LangChain, LangGraph, Semantic Kernel) and LLM-based services.
• Hands-on experience with Azure AI, OpenAI, and multi-cloud ecosystems (AWS, Azure, GCP).
• Strong knowledge of CI/CD, Docker, Kubernetes, and microservices architecture.
• Excellent communication, stakeholder engagement, and team leadership skills.
• Exposure to industry-specific Gen AI use cases (SAP, Salesforce, Finance, Supply Chain, etc.).

Your Profile

• Lead the development and implementation of enterprise-wide ML and Gen AI/Agentic architectures, ensuring they are scalable, secure, and aligned with business goal.
• Lead the end-to-end development & deployment of Gen AI/Agentic initiatives, from ideation and PoC to deployment and scaling.
• Identify opportunities for innovation and lead the creation of reusable Gen AI/Agentic assets, accelerators, and frameworks.
• Oversee the seamless deployment of Gen AI/Agentic models across platforms, ensuring operational efficiency and compliance.
• Develop and implement strategies for continuous integration and delivery of AI solutions, optimizing for performance and maintainability.
• Establish and enforce governance policies, standards, and best practices for AI architecture and deployment, ensuring adherence to data privacy and ethical guidelines.
• Mentor and lead a technical team and architects fostering a culture of innovation and excellence.
• Collaborate with business stakeholders to translate requirements into scalable AI solutions and drive adoption.