9 Results for Ai Engineer Jobs in Los Angeles, CA

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Design Project Engineer

Simi Valley, CA
onsite
Permanent / Full Time
160000 - 185000 USD / Yearly
We are looking for a Design Project Engineer to drive product development initiatives from early concept through release in Simi Valley, California. This position partners with engineering, research, and commercial teams to shape new solutions, refine existing products, and support successful handoff into manufacturing. The ideal candidate combines technical design capability with strong project coordination skills and a practical approach to balancing performance, quality, and cost. Responsibilities: • Lead product development efforts by reviewing opportunities, defining technical direction, and moving projects from concept to production readiness. • Partner with cross-functional stakeholders to assess new ideas, determine feasibility, and align engineering work with business and market needs. • Investigate competitive products, current technologies, material options, and manufacturing methods to inform design decisions. • Create project roadmaps, engineering specifications, and design proposals, then communicate recommendations clearly to key stakeholders. • Direct prototype builds and validation activities, analyze test results, and implement improvements to address functional or durability concerns. • Guide updates to existing products to enhance usability, performance, manufacturability, or overall cost effectiveness. • Oversee design control documentation and coordinate the transition of finalized designs into production environments. • Manage schedules, priorities, and scope changes across internal contributors and external engineering partners to keep programs on track. • Make sound engineering decisions that support product quality while meeting cost and performance objectives.
2026-09-28T00:00:00Z

IAM Architect

Los Angeles, CA
onsite
Permanent / Full Time
180000 - 220000 USD / Yearly
IAM Architect Company OverviewA global consumer products organization is seeking an IAM Architect to help advance enterprise identity security across a complex, rapidly evolving technology environment. Based in Los Angeles, California, the organization supports global operations spanning cloud platforms, enterprise applications, infrastructure, and digital customer experiences. This is an opportunity to provide technical leadership while remaining hands-on with the architecture and implementation of modern identity solutions. Role SummaryThe IAM Architect will own and shape identity architecture across workforce IAM, customer identity, privileged access, identity governance, non-human identities, and third-party access. This role translates business, security, and operational requirements into scalable identity solutions while remaining directly involved in design, integration, testing, implementation, and complex troubleshooting. The ideal candidate combines deep IAM expertise with strong technical leadership and a vendor-agnostic approach to solving identity challenges. Key Responsibilities<ul><li>Own end-to-end architecture for workforce IAM, customer identity, privileged access, identity governance, and non-human identities.</li><li>Lead technical design reviews and provide architecture guidance to application, infrastructure, cloud, security, and engineering teams.</li><li>Design, integrate, test, and troubleshoot enterprise IAM solutions from proof of concept through production implementation.</li><li>Architect identity lifecycle and access controls for employees, contractors, third parties, applications, workloads, and service accounts.</li><li>Advance access governance through role and entitlement design, certifications, approvals, segregation of duties, and policy enforcement.</li><li>Design modern authentication and authorization solutions using Zero Trust, least privilege, adaptive access, and phishing-resistant authentication principles.</li><li>Identify and reduce identity-related risks involving credentials, tokens, sessions, federation, privileged access, and machine identities.</li><li>Develop vendor-neutral integration patterns across identity providers, cloud IAM, privileged access, governance, security, and service management platforms.</li><li>Partner with security operations teams to improve identity telemetry, detection capabilities, investigation workflows, and incident response.</li><li>Automate IAM processes using APIs, scripting, workflow automation, and modern software engineering practices.</li></ul>Additional Details<ul><li>Work model: Hybrid three onsite days</li><li>Hands-on architecture role with significant technical ownership and enterprise-wide influence</li><li>Opportunity to shape modern identity security capabilities across human, privileged, customer, workload, and machine identities</li><li>High-visibility position partnering across cybersecurity, infrastructure, cloud, application, and business teams</li></ul>
2026-09-17T00:00:00Z

Agent Platform Engineer

Los Angeles, CA
onsite
Permanent / Full Time
200000 - 300000 USD / Yearly
Software Engineer Company OverviewA leading artificial intelligence and advanced analytics organization is seeking an Software 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 Software 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>
2026-09-24T00:00:00Z

Machine Learning Engineer

Los Angeles, 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>
2026-09-24T00:00:00Z

Network Engineer

Los Angeles, CA
onsite
Permanent / Full Time
145000 - 175000 USD / Yearly
Principal Network Engineer Company OverviewA global enterprise organization is seeking a Principal Network Engineer to help drive the design, modernization, and operational excellence of a large-scale network infrastructure environment. Based in Los Angeles, California, the company operates across multiple regions and relies on highly available, secure, and scalable networking platforms to support business-critical operations. This is an opportunity to join a high-impact technology team focused on innovation, cloud transformation, automation, and enterprise architecture. Role SummaryThe Principal Network Engineer will serve as a senior technical leader responsible for defining network architecture, engineering standards, and strategic networking initiatives across a global enterprise environment. This role will lead the design, implementation, optimization, and governance of enterprise networking solutions spanning data centers, cloud platforms, SD-WAN, and hybrid infrastructure. The ideal candidate combines deep technical expertise with strong leadership skills and the ability to influence technology strategy across multiple teams and stakeholders. Key Responsibilities<ul><li>Lead the design, implementation, and governance of enterprise network architecture across global environments.</li><li>Establish networking standards, best practices, and operational processes that support long-term business objectives.</li><li>Drive cloud networking, SD-WAN, and hybrid infrastructure modernization initiatives.</li><li>Evaluate network performance, capacity, utilization, and reliability while recommending improvements.</li><li>Lead troubleshooting and resolution of complex network, infrastructure, and connectivity issues.</li><li>Oversee network maintenance, upgrades, enhancements, and lifecycle management activities.</li><li>Design and support large-scale routing, switching, WAN, LAN, wireless, and data center networking solutions.</li><li>Partner with infrastructure, cloud, security, and business teams on strategic technology initiatives.</li><li>Develop project plans, technical documentation, operational procedures, and architecture standards.</li><li>Lead vendor relationships, technology evaluations, and solution implementations.</li><li>Drive automation and orchestration initiatives that improve operational efficiency and service delivery.</li><li>Serve as an escalation point for major incidents and critical operational challenges.</li><li>Contribute to network transformation efforts involving cloud adoption, automation, and infrastructure modernization.</li></ul>Additional Details<ul><li>Work model: hybrid 3 days onsite</li><li>Participation in an on-call rotation supporting global operations</li><li>Opportunity to lead high-visibility network transformation and modernization initiatives</li><li>Collaborate with global technology teams supporting critical business operations</li><li>Significant ownership over enterprise networking strategy, standards, and innovation</li></ul>
2026-09-08T00:00:00Z

Network Engineer

Los Angeles, CA
onsite
Permanent / Full Time
189000 - 225000 USD / Yearly
Network Engineer Company OverviewA manufacturing and technology organization is seeking a Network Engineer to help build and scale the infrastructure that powers mission-critical operations. Based in Los Angeles, California, the company combines automation, software, and cutting-edge manufacturing technologies to support highly regulated, high-availability environments. This is an opportunity to play a key role in designing and advancing the network architecture behind a fast-growing, multi-site enterprise. Role SummaryThe Network Engineer will serve as a senior technical leader responsible for the design, architecture, automation, and reliability of enterprise network infrastructure across data center, campus, cloud, and multi-site environments. This role will lead network strategy, new site deployments, cloud connectivity, infrastructure automation, and operational standards while partnering closely with infrastructure, security, and operations teams. The ideal candidate brings deep enterprise networking expertise, strong architectural judgment, and experience supporting highly regulated, large-scale environments. Key Responsibilities<ul><li>Design and own enterprise network architecture across data center, campus, cloud, and multi-site environments.</li><li>Lead network design and deployment efforts for new facilities, office expansions, and manufacturing locations.</li><li>Architect scalable routing, switching, segmentation, and high-availability solutions.</li><li>Design and support SD-WAN, VPN, cloud connectivity, and hybrid network architectures.</li><li>Implement and optimize BGP, OSPF, routing policies, failover strategies, and traffic engineering solutions.</li><li>Design and maintain scalable network fabrics, data center infrastructure, and multi-site connectivity solutions.</li><li>Build Infrastructure-as-Code (IaC) solutions for network provisioning, automation, and change management.</li><li>Support AWS and Azure networking environments, including hybrid connectivity and cloud routing.</li><li>Develop standards for monitoring, observability, documentation, and operational excellence.</li><li>Lead root-cause analysis and resolution of complex network, wireless, routing, and performance issues.</li><li>Partner with telecommunications providers and vendors on circuit provisioning, redundancy, and infrastructure projects.</li><li>Support facility technologies including Wi-Fi, security systems, access control, and IoT connectivity.</li><li>Mentor engineers and technical team members on architecture, operational standards, and best practices.</li><li>Participate in incident response, on-call support rotations, maintenance activities, and network modernization initiatives.</li></ul>Additional Details<ul><li>Work model: 4-5 days onsite</li><li>10-20% travel required for infrastructure deployments and site expansion projects</li><li>Participation in on-call rotations and occasional after-hours maintenance windows</li><li>Opportunity to lead greenfield network deployments and support large-scale organizational expansion</li><li>Candidates must be authorized to work in the United States and satisfy applicable regulatory employment requirements</li></ul>
2026-09-03T00:00:00Z

Network Engineer

Los Angeles, CA
onsite
Permanent / Full Time
160000 - 220000 USD / Yearly
A rapidly growing, technology-driven organization is looking for a Senior Network Engineer to own the design, architecture, reliability, and scalability of network infrastructure across a complex, multi-site environment. This is a high-impact opportunity for a senior networking professional who enjoys solving challenging infrastructure problems, building highly available environments, and introducing automation into network operations. You’ll have significant ownership over network architecture while partnering closely with infrastructure, security, IT, and operations teams. What You’ll Do<ul><li>Own network architecture across data center, campus, multi-site, WAN, and cloud environments</li><li>Design scalable routing and switching architectures, including BGP, OSPF, segmentation, and route policy</li><li>Build and support VXLAN/EVPN spine-leaf fabrics, including VTEPs, VNIs, VRFs, and DCI</li><li>Lead new site deployments from topology design and capacity planning through production</li><li>Architect highly available connectivity, VPNs, firewall infrastructure, and redundant network paths</li><li>Drive network automation using Infrastructure-as-Code, GitOps, Terraform, Ansible, Python, and CI/CD</li><li>Contribute to Kubernetes and container networking</li></ul> Compensation & Benefits<ul><li>Incentive Stock Options (ISO)</li><li>100% employee coverage for medical, dental, vision, and life insurance</li><li>50% dependent insurance coverage</li><li>401(k)</li><li>Flexible/unlimited vacation policy</li><li>Relocation stipend available for qualified candidates relocating to the Los Angeles area</li><li>Significant opportunity to influence network architecture and infrastructure strategy</li></ul>Location & Travel<ul><li>Torrance, CA</li><li>Hybrid schedule with 3–4 days onsite per week</li><li>Candidates will be expected to work onsite during their first three weeks of onboarding</li><li>Approximately 10–20% travel for site deployments</li></ul> Work AuthorizationDue to applicable U.S. government export-control requirements, candidates must meet applicable ITAR eligibility requirements, including being a U.S. citizen, lawful permanent resident, protected individual, or otherwise eligible to obtain the required authorizations. If you’re a senior network engineer who wants genuine ownership of architecture, automation, and large-scale infrastructure—and wants to build networks that will support a rapidly scaling organization—this could be an excellent opportunity Apply now for immediate consideration and direct message Reid Gormly on LinkedIN.
2026-09-28T00:00:00Z

Sr. Software Engineer

Los Angeles, CA
onsite
Permanent / Full Time
180000 - 240000 USD / Yearly
Senior Software Engineer Company OverviewA leading firm based in Los Angeles, California is seeking a Senior Software Engineer to join its technology organization. The firm manages a significant portfolio of institutional assets across credit, private investments, and other alternative strategies. Technology and AI are central to its ongoing innovation strategy, with continued investment in intelligent applications, automation, and data-driven solutions. Role SummaryThe Senior Software Engineer will be a hands-on full-stack developer responsible for building and supporting internal applications, AI-enabled solutions, enterprise integrations, and the Salesforce platform. This role will work closely with investment, operations, compliance, investor relations, accounting, and data teams to turn complex business processes into scalable technology solutions. Key Responsibilities<ul><li>Design and develop applications that automate workflows across investment management, compliance, operations, accounting, and investor relations.</li><li>Build full-stack solutions using C#, .NET, SQL, Python, JavaScript/TypeScript, APIs, and modern development frameworks.</li><li>Develop and support AI-enabled applications, agent workflows, document processing, and intelligent automation solutions.</li><li>Configure and enhance Salesforce, including objects, fields, flows, validation rules, security, integrations, and light custom development.</li><li>Build integrations between Salesforce, internal applications, data platforms, and third-party systems using APIs, ETL, messaging, and automation.</li><li>Develop data and document processing workflows that extract, validate, transform, and load information into enterprise systems.</li><li>Partner directly with investment and business teams to translate domain expertise into repeatable, automated workflows.</li><li>Support reporting and analytics initiatives while maintaining data quality and consistency across connected systems.</li><li>Troubleshoot production applications and integrations, perform root-cause analysis, and implement long-term solutions.</li><li>Apply AI-assisted engineering practices to accelerate development, testing, documentation, and process automation.</li></ul>Additional Details<ul><li>Work model: Hybrid, three days onsite per week</li><li>Quarterly travel may be required</li><li>Opportunity to join an organization with an established investment in AI and help build the next generation of internal AI capabilities</li><li>Direct collaboration with senior technology leadership and investment professionals</li></ul>
2026-09-29T00:00:00Z

Data Engineer

Los Angeles, CA
onsite
Permanent / Full Time
150000 - 220000 USD / Yearly
We are looking for a Data Engineer to build and enhance reporting and data solutions that help teams make informed business decisions across the organization. This role partners with groups such as asset management, acquisitions, accounting, and HR to translate business needs into scalable dashboards, reliable data pipelines, and actionable insights. Based in Los Angeles, California, the position is ideal for someone who combines strong technical depth with the ability to explain findings clearly to a range of stakeholders. Responsibilities:• Create and refine dashboards, reports, and automated data outputs using tools such as Python, Excel, and Power BI to support operational and strategic reporting needs.• Examine large and varied datasets to uncover meaningful trends, performance indicators, and opportunities for improvement.• Guide and support entry-level BI team members by reviewing work, sharing best practices, and contributing to their career growth.• Partner with stakeholders across multiple business functions to define reporting goals, gather technical requirements, and deliver effective data solutions.• Translate technical concepts and analytical results into clear recommendations for non-technical audiences.• Contribute to cross-department initiatives that improve data availability, reporting consistency, and overall usability of business information.• Develop and maintain queries, procedures, and data workflows to support extraction, transformation, and loading activities across reporting environments.• Monitor data quality through validation checks, issue resolution, and routine audits to maintain accuracy and reliability.• Administer BI platforms with attention to performance, access control, and system stability while assisting users with adoption and training. For immediate consideration, apply now and direct message Reid Gormly on LinkedIn
2026-09-09T00:00:00Z

9 results for Ai Engineer in Los Angeles, CA