Asset & Wealth Management AI Solutions Engineer Associate Dallas

Goldman Sachs

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profile Job Location:

Dallas, IA - USA

profile Monthly Salary: Not Disclosed
Posted on: 7 days ago
Vacancies: 1 Vacancy

Job Summary

Description

What We Do

At Goldman Sachs our Engineers dont just make things we make things possible. The WM Data Engineering team within Asset & Wealth Management builds the cloud-native data platform that underpins Wealth Management globally spanning Lakehouse architecture on AWS ETL/ELT pipelines data governance and AI-powered tooling that accelerates how we build and operate at scale.

Our AI Solutions Engineering function designs and delivers intelligent agent-based workflows and LLM-powered applications that transform how engineers and business teams work across the WM Data ecosystem.

Who We Look For

We are seeking a motivated AI Solutions Engineer to contribute to the design and delivery of production AI systems within a data engineering organization. You are intellectually curious write clean tested code and are excited about building AI applications at the intersection of large language models and real-world data infrastructure.

Responsibilities

  • Build and maintain AI-powered data engineering tools LLM agents for pipeline generation schema mapping data quality analysis and migration integrated with the WM data platform (S3 Databricks Snowflake Glue Athena MWAA)
  • Build and iterate on evaluation frameworks (LangSmith RAGAS PromptFoo) to measure and improve AI output quality across data engineering workloads
  • Write well-tested production-quality code with comprehensive unit and integration tests for AI components
  • Implement responsible AI practices in every system: output guardrails prompt injection defenses PII handling and audit logging especially critical when operating on sensitive financial data
  • Implement and maintain backend services and APIs that expose AI-driven data tooling platform engineers and internal stakeholders
  • Collaborate with senior engineers data architects and business stakeholders to scope requirements prototype solutions and ship iteratively
  • Actively seek feedback grow technical breadth across AI and data engineering and contribute to team knowledge-sharing

Basic Qualifications

  • 3 years of software engineering experience including hands-on work with machine learning models or AI application development
  • Proficiency in Java Python and SQL; hands-on experience with LLM APIs or agentic frameworks (OpenAI Anthropic LangChain or similar)
  • Familiarity with agentic patterns: tool use multi-step reasoning and structured output generation
  • Understanding data engineering concepts ETL/ELT pipelines data warehousing data lake architectures or cloud data services (S3 Glue Databricks Snowflake Athena)
  • Awareness of responsible AI concerns prompt injection hallucination risk output guardrails data leakage
  • Strong analytical and problem-solving skills; effective written and verbal communication

Preferred Qualifications

  • Experience with AI evaluation frameworks (LangSmith RAGAS PromptFoo or equivalent)
  • Familiarity with AWS AI/ML services (Bedrock SageMaker Lambda)
  • Familiarity with Model Context Protocol (MCP) or similar standards for tool integration with LLM agents
  • Exposure to pipeline orchestration tools (Airflow/MWAA Step Functions) or Lakehouse patterns (Iceberg Databricks Snowflake)
  • Experience in financial services or regulated data environments

ABOUT GOLDMAN SACHS

At Goldman Sachs we commit our people capital and ideas to help our clients shareholders and the communities we serve to grow. Founded in 1869 we are a leading global investment banking securities and investment management firm. Headquartered in New York we maintain offices around the world. We believe who you are makes you better at what you do. Were committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally from our training and development opportunities and firmwide networks to benefits wellness and personal finance offerings and mindfulness programs. Learn more about our culture benefits and people at committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: Goldman Sachs Group Inc. 2023. All rights reserved.

Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race color religion sex national origin age veterans status disability or any other characteristic protected by applicable law.




Required Experience:

IC

DescriptionWhat We DoAt Goldman Sachs our Engineers dont just make things we make things possible. The WM Data Engineering team within Asset & Wealth Management builds the cloud-native data platform that underpins Wealth Management globally spanning Lakehouse architecture on AWS ETL/ELT pipelines ...
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About Company

The Goldman Sachs Group, Inc. is a leading global investment banking, securities, and asset and wealth management firm that provides a wide range of financial services.

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