AI LLM Architecture Senior Analyst

About the role

As a hands‑on AI Engineer, you will design and develop core components that power advanced AI systems for enterprise clients. The role focuses on turning detailed architectures into production‑ready software across generative AI, agentic systems, and traditional machine learning.

Key responsibilities

• Design, develop, and configure individual AI agents, including prompts, tools, and skills, and integrate them into multi‑agent workflows.
• Implement agent orchestration, memory components, and prompt assembly logic for context‑aware interactions.
• Integrate foundation models, design fine‑tuning pipelines, and apply Transformer‑based architectures to specific business domains.
• Build Retrieval‑Augmented Generation pipelines: ingest, chunk, embed, index enterprise content, and connect to vector databases.
• Implement security, governance, and compliance guardrails such as content filtering, PII redaction, and audit logging.
• Instrument components with logging and tracing, contribute to monitoring, alerting, and cost‑management in production.
• Continuously evaluate emerging AI frameworks and collaborate with multidisciplinary teams to meet stakeholder expectations.

Required profile

• Bachelor’s degree in Computer Science, Computer Engineering, Data Science or a related engineering discipline.
• Professional or academic experience designing and deploying advanced AI solutions that combine Agentic AI, Generative AI, and traditional Machine Learning on at least one cloud platform.
• Hands‑on experience with Python development and building LLM‑based application architectures.

Required skills

• Python programming
• Cloud platform experience (e.g., AWS, Azure, GCP)
• Agentic AI, Large Language Models (LLMs) and Generative AI
• Machine Learning, Deep Learning and Natural Language Processing (NLP)
• Vector storage, model serving and retrieval‑augmented generation pipelines