Join Grid Dynamics as an AI Architect, CTO Office. We are looking for an experienced AI Architect to join our CTO team, focusing on AI for Customer Experience and Agentic AI solutions.
Grid Dynamics (NASDAQ:GDYN) is a leading provider of technology consulting, platform and product engineering, AI, and advanced analytics services. This strategic role combines deep technical expertise in AI/ML with leadership and communication skills to drive innovation from concept to production.
Your focus will be on Customer Experience and Agentic AI solutions such as:
- Product Discovery & Selection: Agentic Commerce, Search & Recommendations, AI Photoshooting
- Customer Service: Conversational Agents, Agent Assist, Conversational Analytics
- Agentic AI: AI Agents for employee productivity, cloud- or platform-agnostic Agentic AI and Enterprise Search platforms
Responsibilities
- Pre-Sales: Lead and support AI pre-sales activities, assessments and discovery workshops.
- Technology Strategy and R&D: Create and bring to the market solutions in enterprise AI and generative AI.
- Project Bootstrapping: Lead discovery phases and initial development for new AI projects/programs.
- Engineering: Work with Grid Dynamics’s delivery organization to ensure that the right tools, technologies, and processes are in place.
- Practice Development: Contribute to AI practice growth through developing training courses, defining skill trees, mentoring other engineers.
- Partnership Development: Help to develop relationships with key technology partners such as GCP, AWS, Azure, or NVIDIA.
Requirements
- Over 5 years of professional experience developing production-grade AI/ML and Data systems
- Proven technical leadership experience as Staff / Principal Engineer or Software Architect
- Proficient in Python programming and its ecosystem, particularly for web, AI/ML and data engineering
- Hands-on experience with Deep Learning (NLP, Computer Vision, etc.) and popular frameworks such as PyTorch and Huggingface.
- 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.
- Strong expertise with at least one major cloud platform (GCP, AWS, or Azure), related ML platforms (e.g. Vertex AI) and MLOps best practices
- Experience in delivering complex AI/ML projects or programs from POC to production with continuous improvements and support
- Practical experience in modern end-to-end projects beyond AI/ML - frontend, backend, data engineering, cloud infrastructure, CI/CD, monitoring and observability.
- 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
- Proficiency in leveraging AI tools across all aspects of work including UX design, solution architecture, market research, coding to enhance productivity and innovation.
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