Job Description

We are seeking an experienced AI Architect to lead the design and implementation of cutting-edge AI solutions from concept to production. This role combines deep technical expertise in AI/ML with strong leadership and communication skills to bridge business needs with engineering excellence. 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.

Responsibilities

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 Builds POCs and prototypes to validate architectural decisions Establishes best practices for engineering teams, and mentors other senior engineers and tech leads Participates in hiring process and pre-sales activities within the account Collaborates closely with cross-functional teams and stakeholders to understand strategic needs, align technical efforts Acts as the bridge between business/product stakeholders and the engineering team, communicate complex technical concepts to to non-technical stakeholders 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

Requirements

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. Vertex AI) and MLOps best practices 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. CI/CD) Experience in defining and setting up project SDLC Deep domain knowledge in at least one of the following industries: Finance, Manufacturing, Healthcare, Life Sciences, Retail. Excellent communication and leadership skills with the ability to lead discussions with clients and other teams Would be a plus: hands-on experience with Deep Learning (NLP, Computer Vision, etc.) and popular frameworks such as PyTorch and Huggingface.

We offer

Opportunity to work on bleeding-edge projects Work with a highly motivated and dedicated team Competitive salary Flexible schedule Benefits package - medical insurance, sports Corporate social events Professional development opportunities Well-equipped office

About us

Grid Dynamics (NASDAQ: 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. Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the Americas, Europe, and India.