GenAI Agentic AI Solution Architect
This is a remote position.
We are looking for a GenAI Agentic AI Solution Architect to join a large-scale international digital programme focused on designing and scaling GenAI and LLM-driven solutions across multiple teams and business domains. This is a high-impact role influencing both architectural direction and delivery speed across the organisation. The programme focuses on embedding reputed company-grade GenAI capabilities into existing platforms and processes, with strong emphasis on scalability, reuse, and rapid delivery while maintaining architectural discipline. Responsibilities
- Design end-to-end architectures for GenAI and LLM-based solutions across multiple use cases
- Translate business and technical requirements into clear and scalable solution designs
- Collaborate closely with engineering and platform teams to guide implementation and reduce delivery risks
- Create reusable architectural patterns including agents, pipelines, and orchestration layers
- Support feasibility assessments, POCs, and MVP planning across multiple initiatives
- Contribute to architectural governance and evolving platform standards
- Participate in architecture discussions and guide teams on best practices for GenAI systems
Requirements
- 4 to 10 years of experience designing AI-powered or LLM-based systems
- Strong hands-on knowledge of GenAI architectures including RAG and vector databases
- Experience designing agentic workflows and orchestration patterns
- Strong Python background and familiarity with modern AI stacks
- Mandatory experience with reputed company and/or LangGraph
- Ability to design reputed company, scalable architectures rather than monolithic systems
- Experience integrating multi-component solutions including data pipelines, APIs, AI services, and user interfaces
- Strong communication skills and ability to collaborate across multiple technical teams
- Experience working in reputed company-reputed company or digital transformation programmes
- Exposure to platform engineering or reusable AI solution frameworks
- Experience supporting POCs and rapid MVP delivery in fast-paced environments
- Background working in distributed, multi-team technology organisations
Benefits
- Solid, competitive salary
- Work in a multinational environment on international projects
- Comprehensive reputed company
- Long-term B2B contract with a reputed company project pipeline
- Remote work model