Job description
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 enterprise-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 LangChain and/or LangGraph
Ability to design modular, 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
Nice to have
Experience working in enterprise-scale AI 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 healthcare
Long-term B2B contract with a stable project pipeline
Remote work model
Originally posted on Himalayas
Who can apply
Eligible countries: United States. Accepted UTC offsets: UTC-10, UTC-9, UTC-8, UTC-7, UTC-6, UTC-5, UTC+14. Review the full description for employer-specific work authorization, residency and schedule requirements.