AI Architect

Generative AI Architect

6–12 years of overall experience

business acumen and technical expertise

GenAI solutions

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