AI Architect, CTO Office

Grid Dynamics; Województwo mazowieckie; On-site; PLN 350,000 - 600,000; Full time

Benefits offered by this job

Competitive salary

Flexible schedule

Medical insurance

Sports

Job summary

Grid Dynamics is seeking an experienced AI Architect to join the CTO team to lead AI for Customer Experience and Agentic AI. You will drive pre-sales engagements, lead R&D initiatives, and design cutting-edge AI solutions for Fortune-1000 clients across enterprise platforms.

The role requires deep expertise in AI/ML, leadership skills, and hands-on experience with LLMs, PyTorch, and cloud platforms. Competitive salary, flexible schedule, and comprehensive benefits are offered.

Qualifications

• 5+ years of professional experience developing production-grade AI/ML and Data systems.
• Proven leadership as Staff/Principal Engineer or Software Architect.
• Proficient in Python for web, AI/ML and data engineering.
• Hands-on Deep Learning (NLP, CV) with PyTorch and Huggingface.
• Deep expertise in LLMs, prompt engineering, RAG, agentic AI, vector/hybrid search, observability.

Responsibilities

• Lead AI pre-sales activities, assessments and discovery workshops.
• Drive R&D to develop enterprise AI and generative AI solutions.
• Bootstrap new AI projects and establish technical foundations and team structure.
• Collaborate with delivery to ensure scalable AI/ML solutions across projects.
• Contribute to AI practice growth through training, mentoring, and hiring involvement.
• Develop partnerships with technology vendors (GCP, AWS, Azure, NVIDIA).

Skills

Python

Deep Learning

LLMs

Cloud platforms

MLOps

Pre-Sales

Leadership

AI/ML Engineering

Tools

PyTorch

Huggingface

Vertex AI

CI/CD

Job description

Grid Dynamics (NASDAQ:GDYN) is looking for an experienced AI Architect to join our CTO team, focusing on AI for Customer Experience and Agentic AI solutions. This strategic role combines deep technical expertise in AI/ML with leadership and communication skills to drive innovation from concept to production. You'll drive pre-sales engagements, lead R&D initiatives to develop next-generation offerings, serve as a trusted advisor to enterprise customers, and lead the design and implementation of cutting-edge AI solutions for key projects as an architect.

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. Plan AI projects of Fortune-1000 enterprises and lead teams of AI/ML engineers who work on client accounts and drive consulting engagements to success. Build hands-on POCs and prototypes to demonstrate solution capabilities during pre-sales processes.
• Technology Strategy and R&D: Create and bring to the market solutions in enterprise AI and generative AI. Drive innovation through research and development activities on industry trends, leading RnD teams, developing assets and solutions strategy across multiple industries. Build prototypes and proof-of-concepts to validate new approaches and technologies.
• Project Bootstrapping: Lead discovery phases and initial development for new AI projects/programs, helping to kickstart projects from concept to early implementation while establishing technical foundations and team structure.
• Engineering: Work with Grid Dynamics's delivery organization to ensure that the right tools, technologies, and processes are in place across the firm to transform and continuously improve the quality and efficiency of AI/ML solutions for our clients.
• Practice Development: Contribute to AI practice growth through developing training courses, defining skill trees, mentoring other engineers, and participating in hiring processes for technical leadership roles.
• 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 provide licenses for any necessary AI tools such as Anthropic Claude, Claude Code, ChatGPT, and others)

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.