Senior AI Architect

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Overview

LABUR is partnering with a client to identify a Sr. AI Architect who will lead the design and delivery of enterprise-scale AI solutions, including LLM-powered assistants, RAG workflows, and agent-based systems. This individual will play a central role in shaping system design, governance, and best practices across the AI portfolio while balancing speed, quality, and scalability.

Responsibilities

* Lead design and delivery of enterprise AI solutions, including LLM assistants, RAG workflows, and agent-based systems, balancing speed, quality, and scalability.

* Define and enforce reference architectures, reusable components, and internal best-practice artifacts for AI projects to ensure consistency and maintainability.

* Provide architectural reviews and guidance to project teams, ensuring alignment with enterprise standards, security, compliance, and validation requirements.

* Develop LLM-powered assistants and copilots that execute real-world workflows such as customer support automation, knowledge summarization, and enterprise search using Agentic AI frameworks (Lang Chain Agents, Bedrock Agents).

* Build, maintain, and optimize semantic search and vector pipelines, including ingestion, embeddings, and indexing, for performance and relevance.

* Establish and drive LLMOps approaches covering prompt and model versioning, agent lifecycle management, feedback loops, and continuous evaluation.

* Mentor engineering teams on generative AI techniques, fine-tuning, prompt engineering, ethics, and explainability.

* Ensure AI solutions adhere to regulatory and validation standards (e.g., FDA validation for AI software used in manufacturing), internal governance, and secure operations.

* Rapidly prototype new AI methods and components, including multimodal and agentic workflows, to validate feasibility and incorporate into enterprise systems.

Qualifications

* 10+ years of overall professional experience, including 7+ years in software engineering and AI/ML with 3+ years specializing in Generative AI and LLMs.

* Proven track record designing, deploying, and scaling enterprise AI/LLM solutions across real-world use cases.

* Strong hands-on expertise with GenAI tool chains, including Lang Chain, Llama Index, Amazon Bedrock, and multi-agent workflows.

* Deep knowledge of vector search, embeddings, retrieval pipelines, and RAG architectures, including chunking, indexing, and orchestration strategies.

* Proficiency in MLOps/LLMOps practices, including CI/CD, model and version management, observability, and monitoring production AI systems (Datadog, MLflow).

* Solid understanding of enterprise security, compliance, and data governance for AI systems, including risk, bias, and drift management.

* Knowledge of AI ethics, explainability, fairness, and bias mitigation, with the ability to embed responsible AI practices into solution design.

* Proficiency in Python, FastAPI, Web Sockets, and AWS services (Lambda, S3, ECS, Sage Maker).

* Excellent communication skills with the ability to translate business needs into scalable AI solutions and services.

Compensation

$150,000-$200,000 per year - Dependent on fit and experience.