Назад
Company hidden
15 часов назад

Principal AI Engineer

137 400 - 233 600$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior/lead
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Principal AI Engineer (Azure AI Foundry/LLM): Building and owning production-grade generative AI systems and data integration pipelines for regulated financial use cases with an accent on secure architecture, semantic data engineering, and responsible AI. Focus on designing RAG and agentic systems, integrating structured and unstructured banking data, and ensuring compliance, lineage, reliability, and cost efficiency across hybrid cloud environments.

Location: Chicago, IL, United States

Salary: $137,400–$233,600 USD annually

Company

hirify.global is a financial services corporation providing wealth management, asset servicing, asset management, and banking services to global institutional and private clients.

What you will do

  • Lead the design, development, deployment, and ownership of production-grade generative AI capabilities on Azure AI Foundry.
  • Build secure, scalable AI applications using LLMs from Anthropic, OpenAI, and other providers, including RAG, agents, tool use, orchestration, and NLP-to-SQL patterns.
  • Architect structured and unstructured data pipelines from banking systems, vendor platforms, external feeds, APIs, and cloud environments for AI and ML use cases.
  • Establish semantic architecture, metadata management, data lineage, audit trails, governance, and enterprise data integration standards.
  • Lead delivery priorities, vendor and procurement coordination, regulatory reviews, and collaboration with data scientists, model risk, cybersecurity, compliance, and business teams.
  • Mentor engineers, product managers, and architects while scaling the AI and AI data integration practice.

Requirements

  • Must be authorized to work in the United States without current or future employment-based visa sponsorship.
  • 10+ years of experience in data engineering or data integration, preferably in financial services or banking.
  • Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field.
  • Strong proficiency in Python, SQL, PostgreSQL, data integration tools, cloud platforms, and container architecture.
  • Hands-on experience building production-grade LLM or generative AI applications and using Anthropic or OpenAI APIs.
  • Knowledge of financial data, asset management, data governance, regulatory compliance, risk management, REST APIs, and vector databases.

Nice to have

  • Experience with PGVector, Pinecone, Neo4j, Bloomberg, Refinitiv, FactSet, Aladdin, Eagle, or iCapital.
  • Experience with Oracle, Exadata, Snowflake, Databricks, .NET/C#, React, Java, Unix/BASH, Windows, or Linux.

Culture & Benefits

  • Flexible and collaborative work culture with opportunities for internal mobility and access to senior leaders.
  • Retirement benefits including a 401(k) and pension.
  • Medical, dental, vision, spending account, disability, life, and accident insurance benefits.
  • Paid time off, parental and caregiver leave, and other well-being benefits.
  • Discretionary bonus program that may include an equity component.

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