AI / ML Engineering Dallas Associate

Goldman Sachs is a leading global investment banking, securities and investment management firm that provides a wide range of services worldwide to a substantial and diversified client base that includes corporations, financial institutions, governments and high net-worth individuals. Founded in 1869, it is one of the oldest and largest investment banking firms. The firm is headquartered in New York and maintains offices in London, Bangalore, Frankfurt, Tokyo, Hong Kong and other major financial centres around the world. We are committed to growing our distinctive Culture and holding to our core values which always place our client's interests first. These values are reflected in our Business Principles, which emphasise integrity, commitment to excellence, innovation and teamwork. Business Unit Overview Enterprise Technology Operations (ETO) is a Business Unit within Core Engineering focused on running scalable production management services with a mandate of operational excellence and operational risk reduction achieved through large scale automation, best-in-class engineering, and application of data science and machine learning. The Production Runtime Experience (PRX) team in ETO applies software engineering and machine learning to production management services, processes, and activities to streamline monitoring, alerting, automation, and workflows. Team Overview The Machine Learning and Artificial Intelligence team in PRX applies advanced ML and GenAI to reduce the risk and cost of operating the firm’s large‑scale compute infrastructure and extensive application estate. Building on strengths in statistical modelling, anomaly detection, predictive modelling, and time‑series forecasting, we leverage foundational LLM Models to orchestrate multi‑agent systems for automated production management services. By unifying classical ML with agentic AI, we deliver reliable, explainable, and cost‑efficient operations at scale. Role and Responsibilities In this role, you will be responsible for launching and implementing GenAI agentic solutions aimed at reducing the risk and cost of managing large‑scale production environments with varying complexities. You will address various production runtime challenges by developing agentic AI solutions that can diagnose, reason, and take actions in production environments to improve productivity and address issues related to production support. What you’ll do: Build agentic AI systems: Design and implement tool‑calling agents that combine retrieval, structured reasoning, and secure action execution (function calling, change orchestration, policy enforcement) following MCP protocol. Engineer robust guardrails for safety, compliance, and least‑privilege access. Productionize LLMs: Build evaluation framework for open‑source and foundational LLMs; implement retrieval pipelines, prompt synthesis, response validation, and self‑correction loops tailored to production operations. Integrate with runtime ecosystems: Connect agents to observability, incident management, and deployment systems to enable automated diagnostics, runbook execution, remediation, and post‑incident summarisation with full traceability. Collaborate directly with users: Partner with production engineers, and application teams to translate production pain points into agentic AI roadmaps; define objective functions linked to reliability, risk reduction, and cost; and deliver auditable, business‑aligned outcomes. Safety, reliability, and governance: Build validator models, adversarial prompts, and policy checks into the stack; enforce deterministic fallbacks, circuit breakers, and rollback strategies; instrument continuous evaluations for usefulness, correctness, and risk. Scale and performance: Optimize cost and latency via prompt engineering, context management, caching, model routing, and distillation; leverage batching, streaming, and parallel tool‑calls to meet stringent SLOs under real‑world load. Build a RAG pipeline: Curate domain‑knowledge; build data‑quality validation framework; establish feedback loops and milestone framework to maintain knowledge freshness. Raise the bar: Drive design reviews, experiment rigor, and high‑quality engineering practices; mentor peers on agent architectures, evaluation methodologies, and safe deployment patterns. Qualifications A Bachelor’s degree (Masters/ PhD preferred) in a computational field (Computer Science, Applied Mathematics, Engineering, or in a related quantitative discipline), with 5+ years of experience as an applied data scientist / machine learning engineer. Essential Skills 5+ years of software development in one or more languages (Python, C/C++, Go, Java); strong hands‑on experience building and maintaining large‑scale Python applications preferred. 3+ years designing, architecting, testing, and launching production ML systems, including model deployment/serving, evaluation and monitoring, data processing pipelines, and model fine‑tuning workflows. Practical experience with Large Language Models (LLMs): API integration, prompt engineering, finetuning/adaptation, and building applications using RAG and tool‑using agents (vector retrieval, function calling, secure tool execution). Understanding of different LLMs, both commercial and open source, and their capabilities (e.g., OpenAI, Gemini, Llama, Qwen, Claude). Solid grasp of applied statistics, core ML concepts, algorithms, and data structures to deliver efficient and reliable solutions. Strong analytical problem‑solving, ownership, and urgency; ability to communicate complex ideas simply and collaborate effectively across global teams with a focus on measurable business impact. Proficiency building and operating on cloud infrastructure (ideally AWS), including containerised services (ECS/EKS), serverless (Lambda), data services (S3, DynamoDB, Redshift), orchestration (Step Functions), model serving (SageMaker), and infra‑as‑code (Terraform/CloudFormation). Career Opportunities Goldman Sachs is a meritocracy where you will be given all the tools to advance your career. At Goldman Sachs, you will have access to excellent training programs designed to improve multiple facets of your skill portfolio. Our in‑house training program, “Goldman Sachs University” offers a comprehensive series of courses that you will have access to as your career progresses. Goldman Sachs University has an impressive catalogue of courses which span technical, business and leadership skills. Same Posting Description for Internal and External Candidates Job Info Job Identification 153199 Job Category Associate Posting Date 12/04/2025, 09:23 PM Locations Dallas, Texas, United States 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. We offer competitive vacation policies based on employee level and office location. We promote time off from work to recharge by providing generous vacation entitlements and a minimum of three weeks expected vacation usage each year. We assist employees in saving and planning for retirement, offer financial support for higher education, and provide a number of benefits to help employees prepare for the unexpected. We offer live financial education and content on a variety of topics to address the spectrum of employees’ priorities. We offer a medical advocacy service for employees and family members facing critical health situations, and counseling and referral services through the Employee Assistance Program (EAP). We provide Global Medical, Security and Travel Assistance and a Workplace Ergonomics Program. We also offer state‑of‑the‑art on‑site health centres in certain offices. To encourage employees to live a healthy and active lifestyle, some of our offices feature on‑site fitness centres. For eligible employees we typically reimburse fees paid for a fitness club membership or activity (up to a pre‑approved amount). We offer on‑site child care centres that provide full‑time and emergency back‑up care, as well as mother and baby rooms and homework rooms. In every office, we provide advice and counselling services, expectant parent resources and transitional programmes for parents returning from parental leave. Adoption, surrogacy, egg donation and egg retrieval stipends are also available. Read more about the full suite of class‑leading benefits our firm has to offer. Learn More #J-18808-Ljbffr Goldman Sachs Group, Inc.