Asset & Wealth Management - AI Solutions Engineer - Associate - Dallas

What We DoAt Goldman Sachs, our Engineers don't 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 ForWe 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.ResponsibilitiesBuild 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 workloadsWrite well-tested, production-quality code with comprehensive unit and integration tests for AI componentsImplement responsible AI practices in every system: output guardrails, prompt injection defenses, PII handling, and audit logging — especially critical when operating on sensitive financial dataImplement and maintain backend services and APIs that expose AI-driven data tooling platform engineers and internal stakeholdersCollaborate with senior engineers, data architects, and business stakeholders to scope requirements, prototype solutions, and ship iterativelyActively seek feedback, grow technical breadth across AI and data engineering, and contribute to team knowledge-sharingBasic Qualifications3+ years of software engineering experience, including hands-on work with machine learning models or AI application developmentProficiency 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 generationUnderstanding 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 leakageStrong analytical and problem-solving skills; effective written and verbal communicationPreferred QualificationsExperience 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 agentsExposure to pipeline orchestration tools (Airflow/MWAA, Step Functions) or Lakehouse patterns (Iceberg, Databricks, Snowflake)Experience in financial services or regulated data environmentsABOUT GOLDMAN SACHSAt 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. We're 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 GS.com/careers. We’re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: The 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.Posting Date: 2026-04-20