Senior AI Architect – Enterprise CX & Agentic AI

Grid Dynamics

Województwo mazowieckie

On-site

PLN 350,000 - 600,000

Full time

2 days ago
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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 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.

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