Hybrid Digital Architect

We are seeking an experienced AI Architect to lead the design and implementation of cutting-edge AI solutions from concept to production. The ideal candidate will have 7+ years of experience building production-grade AI & Data systems, with particular expertise in LLMs, cloud platforms, and end-to-end project delivery. You'll architect scalable AI solutions, guide technical teams through complex implementations, and balance cutting-edge innovation with practical business outcomes.

Lead software development projects from concept to production and beyond, define and design architecture of AI solutions and drive implementation Collects project requirements from the business and technical stakeholders, ensures that requirements are complete, exhaustive and not contradictory Independently defines solution design and selects appropriate cloud- or platform-agnostic solutions and technology stack for the implementation Ensures design accounts for technical (e.g. availability, performance) and business constraints Plans implementation roadmap of the project, ensures solution design can be delivered in allotted time with available resources Influences or builds SDLC processes on a project/program level Establishes best practices for engineering teams, and mentors other senior engineers and tech leads Stay up-to-date with latest AI industry trends and integrate emerging technologies to drive innovation and improve system performance, but at the same time balance innovation with operational pragmatism

Over 7 years of professional experience developing production-grade systems, particularly in AI/ML and Data Engineering Proven experience as Software Architect or Staff / Principal Engineer Proficient in Python programming and its ecosystem, particularly for web, AI/ML and data engineering Deep expertise in LLMs: open/closed-source models, advanced prompt engineering techniques, RAG, Agentic AI, document processing, vector/hybrid search, guardrails, observability & monitoring, LLM fine-tuning and evaluation metrics. Experience in delivering complex AI/ML projects or programs from POC to production with continuous improvements and support Strong expertise with at least one major cloud platform (GCP, AWS, or Azure), related ML platforms (e.g. Practical experience in modern end-to-end projects beyond AI/ML - frontend, backend, data engineering, cloud infrastructure, CI/CD, monitoring and observability. Hands-on experience in setting up and maintaining project infrastructure (e.g. Experience in defining and setting up project SDLC and popular frameworks such as PyTorch and Huggingface.

Opportunity to work on bleeding-edge projects Professional development opportunities

GDYN) is a leading provider of technology consulting, platform and product engineering, AI, and advanced analytics services. Fusing technical vision with business acumen, we solve the most pressing technical challenges and enable positive business outcomes for enterprise companies undergoing business transformation. A key differentiator for Grid Dynamics is our 8 years of experience and leadership in enterprise AI, supported by profound expertise and ongoing investment in data, analytics, cloud & DevOps, application modernization and customer experience.