Goldman Sachs · 2 days ago
AI/ML Engineer – Vice President (Seattle, WA)
Seattle, WA
Full-time
Onsite
Mid, Senior Level
$150K/yr - $250K/yr
7+ years expGoldman Sachs is a leading global investment banking firm that provides a wide range of services to a diverse client base. The role involves launching and implementing GenAI agentic solutions aimed at improving the management of large-scale production environments, focusing on safety, reliability, and operational excellence.
BankingFinanceFinancial ServicesVenture Capital
Responsibilities
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 summarization 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 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
Qualification
Required
A Bachelor's degree (Masters/ PhD preferred) in a computational field (Computer Science, Applied Mathematics, Engineering, or in a related quantitative discipline)
7+ years of experience as an applied data scientist / machine learning engineer
7+ years of software development in one or more languages (Python, C/C++, Go, Java)
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
Preferred
Proficiency building and operating on cloud infrastructure (ideally AWS), including containerized services (ECS/EKS), serverless (Lambda), data services (S3, DynamoDB, Redshift), orchestration (Step Functions), model serving (SageMaker), and infra-as-code (Terraform/CloudFormation)
Benefits
Discretionary bonus
Excellent training programs
Goldman Sachs University
Company
Goldman Sachs
Goldman Sachs is a multinational financial services firm providing securities, investment banking, and management services.
10001+ employees
H1B Sponsorship
Goldman Sachs has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (1954)
2024 (1685)
2023 (2060)
2022 (2326)
2021 (2258)
2020 (1572)
Funding
Current Stage
Public CompanyTotal Funding
$6B2025-04-23Post Ipo Debt· $6B
2012-06-05Post Ipo Equity
1999-05-14IPO
Leadership Team
David M. Solomon
Chair and Chief Executive Officer
John Waldron
President and Chief Operating Officer
Recent News
2026-01-05
2026-01-03
2026-01-03
Company data provided by crunchbase