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8 results for Aiml Engineer in San Francisco, CA

AML Investigator

San Ramon, CA
onsite
Temporary / Contract
23.75 - 27.5 USD / Hourly
We are looking for a detail-oriented AML Investigator to support compliance operations for a long-term contract opportunity based in San Ramon, California. This onsite position requires working from the office five days per week and is well suited for professionals with early-career investigative experience in anti-money laundering and customer due diligence. The individual in this role will review potentially suspicious activity, document findings clearly, and help uphold regulatory standards across AML and KYC processes. A monthly performance-based bonus is available based on productivity. Responsibilities: • Conduct investigations into alerts, transactions, and customer activity to identify unusual patterns and potential financial crime risks. • Review account records and supporting documentation to assess whether activity aligns with AML, KYC, and BSA expectations. • Prepare clear, accurate case summaries that document research steps, findings, and recommended actions for compliance review. • Analyze data in Excel, including the use of formulas, to organize information and support investigative decisions. • Escalate high-risk matters when warranted and coordinate with internal compliance stakeholders to ensure timely resolution. • Maintain thorough and audit-ready records while following established procedures, regulatory guidelines, and internal controls. • Monitor productivity and case quality targets while managing an active investigation pipeline in a fast-paced environment.
2026-09-11T00:00:00Z

Machine Learning Engineer

Menlo Park, CA
onsite
Permanent / Full Time
200000 - 300000 USD / Yearly
Machine Learning Engineer Company OverviewBased in Los Angeles, California, the company specializes in transforming complex, multi-source data into actionable insights through machine learning, knowledge graph technologies, and advanced analytics. This is an opportunity to work on mission-critical applications in a highly collaborative environment focused on innovation, scalability, and operational excellence. Role SummaryThe Machine Learning Engineer will play a critical role in designing, training, deploying, and optimizing machine learning models that operate on large-scale temporal, geospatial, relational, and unstructured datasets. This position requires an experienced engineer who can independently own the full machine learning lifecycle, from dataset development and model architecture selection to deployment, monitoring, and continuous improvement. The ideal candidate brings broad expertise across computer vision, natural language processing (NLP), geospatial analytics, MLOps, and large-scale production machine learning environments. Key Responsibilities<ul><li>Design, train, evaluate, deploy, and optimize machine learning models across multiple production use cases.</li><li>Build predictive solutions for anomaly detection, forecasting, entity resolution, relationship prediction, risk assessment, and operational decision support.</li><li>Partner with data engineering teams to develop high-quality training datasets from structured, unstructured, temporal, relational, and geospatial data sources.</li><li>Design model architectures and select appropriate algorithms based on business objectives, data characteristics, and operational requirements.</li><li>Develop and maintain machine learning pipelines spanning data preparation, feature engineering, training, evaluation, deployment, and monitoring.</li><li>Build scalable solutions that leverage graph-based and knowledge graph-driven data architectures.</li><li>Develop models utilizing computer vision, NLP, geospatial analytics, and predictive modeling techniques.</li><li>Establish rigorous evaluation frameworks, baselines, performance metrics, and validation methodologies.</li><li>Design experiments that mitigate data leakage, model drift, bias, and changing data distributions.</li><li>Implement monitoring, observability, alerting, retraining, rollback, and model governance processes.</li><li>Maintain reproducible datasets, model artifacts, evaluation results, and deployment workflows.</li><li>Collaborate with distributed engineering teams to deliver reliable and scalable machine learning capabilities.</li><li>Improve model calibration, confidence scoring, uncertainty estimation, and explainability.</li><li>Contribute to technical architecture, machine learning standards, and long-term platform strategy.</li></ul>Additional Details<ul><li>Fully onsite 5 days a week</li><li>Highly collaborative environment with strong emphasis on machine learning, knowledge graphs, and data-driven decision support</li><li>Opportunity to influence technical direction, machine learning standards, and model lifecycle practices across multiple initiatives</li><li>Candidates must be authorized to work in the United States and satisfy applicable regulatory employment requirements</li></ul>
2026-08-19T00:00:00Z

AI Engineer (AI Data Privacy, Security & Governance)

San Ramon, CA
remote
Permanent / Full Time
85000 - 124000 USD / Yearly
obert Half is seeking a Software Engineer II – AI Engineer to analyze, design, program, debug, test, implement, and support the privacy, security, and governance controls that protect generative AI technologies. This role safeguards GenAI-enabled applications, including LLM-powered workflows, RAG pipelines, plugins, skills, and autonomous agents, by embedding data protection, security guardrails, and responsible AI governance across the development lifecycle. This role supports SDLC documentation across all phases, with a focus on data privacy, security guardrails, governance, compliance, and risk management. It also works with users to define requirements and support applications in production. What You’ll Do <ul><li>Design and implement data privacy controls, including PII/PHI detection, redaction, and data minimization. </li><li>Build security guardrails, including prompt-injection defense, jailbreak prevention, and output filtering. </li><li>Establish governance for plugins, skills, and agents, including registration, approval, and lifecycle management. </li><li>Review and vet third-party plugins, skills, and agent tools for security, privacy, and compliance risks. </li><li>Define and enforce access controls, authentication, and least-privilege permissions for AI components. </li><li>Implement guardrails for autonomous agents, including action scoping, tool-use restrictions, and human-in-the-loop approval. </li><li>Apply data classification, retention, and residency policies across GenAI data flows. </li><li>Monitor AI systems for policy violations, data leakage, and anomalous plugin, skill, or agent behavior. </li><li>Maintain audit trails and logging for plugin, skill, and agent activity. </li><li>Support compliance with regulations and frameworks, including GDPR, CCPA, and the EU AI Act. </li><li>Provide Level II production support for security, privacy, and governance incidents. </li><li>Support incident response, including containment, escalation, and remediation. </li></ul>
2026-08-18T00:00:00Z

Agent Platform Engineer

Menlo Park, CA
onsite
Permanent / Full Time
200000 - 300000 USD / Yearly
Agent Platform Engineer Company OverviewA leading artificial intelligence and advanced analytics organization is seeking an Agent Platform Engineer to help develop next-generation AI orchestration and decision-support platforms. Based in Los Angeles, California, the company specializes in integrating complex data sources into scalable intelligence solutions that support mission-critical operations, advanced analytics, and organizational workflows. This is an opportunity to work on cutting-edge AI technologies within a highly collaborative and innovative engineering environment. Role SummaryThe Agent Platform Engineer will design, build, and optimize enterprise-grade AI platforms that connect structured and unstructured data, knowledge graphs, retrieval systems, and intelligent workflows. This hands-on role focuses on developing production-ready AI applications, agent frameworks, workflow orchestration systems, retrieval pipelines, and model-serving infrastructure. The ideal candidate combines strong software engineering fundamentals with expertise in AI systems, distributed architectures, and scalable platform development. Key Responsibilities<ul><li>Design and implement intelligent workflow systems for research, analysis, automation, and decision-support use cases.</li><li>Develop scalable retrieval, search, and knowledge management capabilities across structured and unstructured datasets.</li><li>Build backend services, APIs, and platform capabilities supporting AI-driven applications.</li><li>Create resilient workflow orchestration patterns for long-running, distributed, and fault-tolerant processes.</li><li>Develop authorization, permission management, auditing, and governance mechanisms within AI platforms.</li><li>Optimize retrieval, inference, and execution performance across diverse deployment environments.</li><li>Fine-tune, evaluate, and integrate open-source AI models to support specialized business workflows.</li><li>Implement model routing, inference optimization, caching, and fallback strategies.</li><li>Build evaluation frameworks that measure system accuracy, reliability, performance, and operational effectiveness.</li><li>Develop observability, monitoring, alerting, and troubleshooting capabilities across platform components.</li><li>Partner with product, data, machine learning, infrastructure, security, and customer-facing teams to deliver scalable solutions.</li><li>Contribute to technical architecture, engineering standards, and long-term platform strategy.</li></ul>Additional Details<ul><li>Fully onsite 5 days per week</li><li>Individual contributor role with substantial technical ownership</li><li>Opportunity to work on advanced AI, automation, retrieval, and knowledge graph technologies</li><li>Staff-level candidates may provide technical leadership, mentorship, and architecture guidance</li><li>Candidates must be authorized to work in the United States and satisfy applicable regulatory employment requirements</li></ul>
2026-08-19T00:00:00Z

QA Automation Engineer IV

San Ramon, CA
remote
Permanent / Full Time
109000 - 165000 USD / Yearly
Robert Half, one of FORTUNE's World's Most Admired Companies and a Fortune 100 Best Companies to Work For, is seeking a QA Automation Engineer IV to join our ATI Salesforce Competency Center. This is a highly visible, architect-level role focused on driving automation strategy, modernizing test frameworks, and enabling quality across enterprise Salesforce initiatives. If you enjoy solving complex quality challenges, mentoring engineers, building scalable automation solutions, and working with emerging AI technologies, we'd love to hear from you. What You'll DoDesign, develop, and maintain automated testing solutions for Salesforce applications, APIs, integrations, and enterprise business processes.Lead automation strategy across multiple Agile teams, supporting 5-6 Scrum teams simultaneously.Build scalable, reusable automation frameworks using Robot Framework, Selenium, Python, and related technologies.Conduct proof-of-concepts, framework evaluations, and automation architecture reviews.Perform code reviews and establish automation best practices across teams.Develop automated tests for UI, API, integration, regression, and end-to-end scenarios.Create and manage automated test data strategies across Salesforce and integrated platforms.Validate Salesforce Lightning applications, workflows, APIs, and MuleSoft integrations.Collaborate with developers and product teams to identify automation opportunities early in the development lifecycle.Leverage AI-powered testing tools and generative AI solutions to improve test creation, maintenance, execution efficiency, and defect analysis.Mentor and train engineers on automation frameworks, quality engineering practices, and emerging technologies.
2026-08-28T00:00:00Z

Software Engineer II – AI Engineer (w/ skills in Deployment)

San Ramon, CA
remote
Permanent / Full Time
85000 - 124000 USD / Yearly
Robert Half is seeking a Software Engineer II – AI Engineer who will analyze, design, program, debug, test, implement, deploy, and support software enhancements and new applications using Generative AI technologies. This role contributes to the development and production deployment of GenAI-enabled applications, including LLM-powered workflows, RAG pipelines, and AI-driven user experiences. This role supports SDLC documentation across all phases, with a focus on deployment, evaluation, observability, safety, and monitoring. It also interacts with users to define requirements and support applications in production. What You’ll Do <ul><li>Develop and modify application modules, including GenAI components. </li><li>Build prompt workflows, retrieval layers, APIs, and cloud services. </li><li>Troubleshoot production issues, including latency, hallucinations, and errors. </li><li>Provide Level II production support for deployed systems. </li><li>Design components, including LLM integrations and RAG pipelines. </li><li>Implement CI/CD pipelines, containerization, and release processes. </li><li>Develop RAG pipelines with embeddings, chunking, and vector search. </li><li>Apply prompt engineering techniques, including few-shot prompting and structured outputs. </li><li>Evaluate models for accuracy, relevance, and hallucination risk. </li><li>Implement safety guardrails, including PII protection and prompt-injection defense. </li><li>Execute testing, including unit, integration, and GenAI evaluation testing. </li><li>Monitor production systems for latency, cost, usage, and errors. </li><li>Support incident management with fallback and recovery strategies. </li></ul>
2026-08-18T00:00:00Z

AML QC Analyst

San Ramon, CA
onsite
Temporary / Contract
30 - 35 USD / Hourly
We are seeking an experienced Senior Investigator / QC Analyst to support AML and financial crimes compliance initiatives. This role is responsible for reviewing alerts and investigations for quality, accuracy, and regulatory adherence. The ideal candidate will have experience in AML, risk, compliance, or financial crimes and bring strong analytical, documentation, and decision-making skills.The Senior Investigator / QC Analyst will assess investigative findings, determine whether cases should be escalated, and help identify situations where Suspicious Activity Reports (SARs) may be warranted. This position requires a strong understanding of BSA/AML regulations and the ability to work independently in a fast-paced compliance environment.Key Responsibilities:<ul><li>Review alerts and case investigations for quality, completeness, and accuracy</li><li>Evaluate activity to determine whether escalation is needed for further review</li><li>Assess investigative findings and identify cases that may warrant SAR recommendations</li><li>Document findings in a clear, concise, and well-supported manner</li><li>Ensure compliance with AML/BSA regulations, internal policies, and quality standards</li><li>Conduct research and analysis using available systems, reports, and data tools</li><li>Support quality control efforts across AML and financial crimes investigations</li></ul>If interested, please contact Xayvion at 925-267-8552.
2026-09-03T00:00:00Z

Software Engineer III (Platform Engineering)

San Ramon, CA
remote
Permanent / Full Time
104000 - 153000 USD / Yearly
Robert Half is seeking a Software Engineer III (Platform Engineering) to support the infrastructure, platforms, and services that power our applications and data processing environments. This role is ideal for someone who enjoys building cloud infrastructure, automating processes, improving platform reliability, and troubleshooting production issues in a fast-paced environment. What You'll DoSpend approximately 70% of your time building and deploying infrastructure and platform enhancements, with 30% focused on operational support and troubleshooting.Design, build, and maintain scalable, secure, and reliable cloud-based infrastructure supporting applications, ETL/ELT processes, and platform services.Develop and maintain infrastructure automation, monitoring solutions, CI/CD pipelines, and operational tooling.Build and manage AWS resources, including EC2 instances and related cloud services.Support platform services in production environments, troubleshoot outages, and drive root-cause analysis and resolution efforts.Manage critical incidents, including coordinating with external vendors such as Microsoft to resolve high-priority production issues.Implement Infrastructure-as-Code (IaC) solutions and improve platform reliability, scalability, and performance.Collaborate with development, security, and operations teams to support application delivery and platform stability.Conduct code reviews, mentor junior engineers, and promote engineering best practices.Participate in an on-call rotation (approximately every three weeks).
2026-08-15T00:00:00Z