We are seeking a highly skilled
Generative AI Architect with
612 years of overall experience and a strong balance of
business acumen and technical expertise. The ideal candidate will have proven expertise in building, deploying, and scaling enterprise-grade
GenAI solutions, with hands-on experience across advanced LLMOps, Agentic AI, and fine-tuning techniques.
Responsibilities
- Define AI use case architecture (predictive alerts, error models, assignment engine, RAG setup agent, low-cognitive UI).
- Design the Data Platform for telemetry/log ingestion and transformation.
- Define real-time and batch data pipelines for model training and retraining.
- Design model serving and lifecycle management (validation, versioning, drift detection).
- Architect RAG pipelines (indexing, chunking, retrieval, knowledge base).
- Collaborate with Java Architect to expose required events and APIs.
- Collaborate with Platform Architect to ensure infra supports AI workloads (GPU/CPU, memory, scaling).
- Work with DevOps to implement MLOps workflows and automated model deployment.
- Define governance of AI components (auditability, safety, explainability).
Requirements
- Strong experience in ML/AI architecture (production systems scale, not just notebooks)
- Python + ML frameworks (PyTorch/TensorFlow/scikit-learn)
- Understanding of event streaming systems (Kafka or equivalent)
- Experience designing data pipelines and feature stores
- Experience with model lifecycle management (MLflow, Kubeflow, SageMaker, or similar)
Nice to have
- Experience building RAG systems (vector databases, embedding pipelines)
- Time-series anomaly detection background
- Experience deploying AI workloads on Kubernetes
- Familiarity with industrial or telemetry-heavy domains
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.
