Job Type: Contract

Job Category: IT

Job Description

Job Title: GenAI Architect

Location: North Quincy, MA – Onsite
Duration: 6 Months Contract

Job Description

We are looking for an experienced GenAI Architect to design and implement the AI/GenAI framework powering our Risk Scoring Engine and Audit Planning Engine. The ideal candidate will have strong expertise in building scalable AI systems, integrating LLMs, and architecting end-to-end intelligent solutions that drive automation, decision-support, and predictive insights.

Key Responsibilities

• 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.

Required Skills & Experience

• 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