GenAI Architect-1

Job Type: Contract

Job Category: IT

Job Description

Architect and design the GenAI framework for risk scoring and audit planning systems.
Lead the development of AI models, pipelines, and solution components using LLMs and advanced ML techniques.
Develop system architecture including data ingestion, vectorization, embedding pipelines, RAG, and model orchestration.
Implement model evaluation techniques focusing on accuracy, reliability, and explainability for risk-based systems.
Collaborate with risk, audit, and engineering teams to gather requirements and translate them into scalable architectures.
Define integration strategies with existing enterprise applications, APIs, and data platforms.
Ensure security, compliance, and governance best practices for AI systems.
Optimize model performance and operationalize solutions using MLOps/LLMOps frameworks.
Provide technical leadership, documentation, and architectural guidance across the project lifecycle.

10+ years of overall technology experience with strong expertise in AI/ML and Generative AI architecture.
Hands-on experience with LLMs, RAG, embeddings, vector databases, prompt engineering, and AI pipeline development.
Strong experience with cloud platforms (AWS/Azure/GCP) for AI workloads.
Proficiency with Python, ML frameworks (PyTorch/TensorFlow), and orchestration tools (LangChain, LlamaIndex, or similar).
Experience building AI-driven decision engines or scoring systems (Risk/Compliance/Audit preferred).
Strong understanding of data engineering, data governance, and scalable solution design.
Excellent communication, stakeholder management, and documentation skills.

Required Skills

PERFORMANCE ARCHITECT