Principal AI Engineer

Our challenge

We are seeking a highly experienced Lead / Principal AI Engineer to lead the design, development, and deployment of advanced AI and large language model (LLM)-powered solutions within a regulated enterprise environment. This role will be responsible for architecting and delivering scalable, secure, and production‑ready AI systems that align with enterprise technology standards, governance frameworks, and compliance requirements.

The base salary for this position will vary based on geography and other factors. In accordance with law, the base salary for this role if filled within Dallas, TX is $140k - $150k/year & benefits (see below).

• Lead the architecture, design, and implementation of enterprise‑grade AI solutions leveraging large language models and related AI technologies.
• Design and deploy LLM‑based applications using platforms such as Amazon Bedrock, Azure OpenAI, and direct model/API integrations.
• Build scalable orchestration layers for prompt execution, model routing, completion handling, response optimization, and service resiliency.
• Design and implement retrieval‑augmented generation (RAG) frameworks to support enterprise search, reasoning, and decision‑support use cases.
• Architect and develop AI‑powered document ingestion, conversion, parsing, extraction, and analysis pipelines.
• Transform large volumes of complex, unstructured enterprise and financial documents into structured data suitable for downstream AI reasoning and business process automation.
• Design and optimize data pipelines and ETL processes that enable efficient ingestion, enrichment, indexing, and retrieval of enterprise content.
• Design and develop backend services using Python, Node.js, Java, and modern enterprise integration patterns.
• Build and maintain RESTful APIs, microservices, and distributed application components supporting AI‑enabled products and services.
• Partner with user experience and frontend engineering teams to support AI‑enabled interfaces built with technologies such as React, Angular, Type Script, JavaScript, HTML5, and CSS
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• Design and implement data solutions utilizing technologies such as MongoDB, Azure Data Services, and Azure AI Search.
• Enable intelligent document indexing, metadata extraction, semantic retrieval, and enterprise‑wide search capabilities.
• Establish observability and monitoring frameworks for AI systems, including pipeline health, model performance, latency, usage, quality, and cost metrics.
• Ensure AI platforms and services comply with enterprise requirements related to security, privacy, governance, risk, and regulatory oversight.
• Build systems with strong support for auditability, traceability, explainability, and operational transparency, particularly in regulated environments.

• Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related technical discipline; advanced degree preferred.
• Extensive experience designing, developing, and deploying production‑grade AI/ML or LLM‑based systems in enterprise environments.
• Demonstrated hands‑on expertise with Amazon Bedrock, Azure OpenAI, and/or direct integration with LLM APIs and model services.
• Strong experience designing retrieval‑augmented generation (RAG) architectures, prompt engineering workflows, and LLM service orchestration layers.
• Proven experience in AI pipeline engineering, including document ingestion, transformation, structured extraction, and downstream AI consumption.
• Strong programming expertise in Python, with additional experience in Node.js and/or Java.
• Experience building and integrating REST APIs, microservices, and cloud‑native services.
• Strong knowledge of ETL processes, data engineering concepts, database design, and enterprise integration patterns.
• Hands‑on experience with MongoDB, Azure Data Services, and Azure AI Search.
• Familiarity with modern frontend technologies including React, Angular, Type Script, JavaScript, HTML5, and CSS
  3.
• Strong understanding of scalability, security, performance optimization, and enterprise software design principles.
• Experience developing solutions in regulated environments, preferably within financial services, banking, lending, or…