Top Engineering Jobs in Los Angeles, CA

Designs and delivers Google Cloud, data modernization, and generative AI solutions for clients. Builds agentic workflows, retrieval-augmented generation systems, prompt engineering approaches, LLM integrations, vector database solutions, and AI-powered conversational applications. Develops Python components, applies LLM evaluation and LLMOps practices, translates business requirements into technical designs, manages workstreams, collaborates with stakeholders, and mentors junior team members.

Leads Google Cloud-native engineering programs, overseeing application architecture, development, testing, modernization, and deployment. Directs multiple workstreams, shapes client roadmaps, advises on technical decisions, and develops generative AI solutions using Vertex AI, LLM APIs, LangChain, LangGraph, and retrieval-augmented generation. Builds executive client relationships, identifies business opportunities, governs LLMOps and quality practices, and coaches engineering, testing, and AI delivery teams.

Develop and lead martech software development workstreams using Adobe Experience Manager as a Cloud Service. Design, code, test, maintain, integrate, and troubleshoot applications across web, mobile, and platform tools. Translate business requirements into technical solutions, apply APIs, microservices, CI/CD, testing, and automation practices, manage delivery plans and budgets, and coach engineering teams. Support content enablement, personalization, analytics, consent, and broader marketing technology initiatives while identifying process improvements and leveraging AI-enabled development tools.

Leads software and product innovation for insurance advisory solutions, including strategic design of insurance data models, business growth, project execution, client satisfaction, innovation, and team development. The Director mentors leaders, manages global collaboration, identifies market opportunities, ensures professional standards, and drives technology-enabled business transformation.

Develop and deploy data solutions using Palantir Foundry and AIP for client engagements. Lead technical teams, coach team members, analyze system interactions, build applications with large datasets, and apply data engineering and analytics to deliver client outcomes. The role also includes managing client relationships, planning and executing projects, encouraging technology adoption, resolving stakeholder conflicts, and driving continuous improvement.

Leads custom application development, architecture, testing, modernization, and delivery across cloud-native and on-premise environments. Translates business requirements into scalable technical solutions, coordinates software planning and releases, reviews code, applies CI/CD and automated testing, advises clients on technology decisions, coaches engineers, and advances AI-enabled engineering practices.

Designs, develops, tests, modernizes, and maintains custom applications across cloud-native and on-premise environments. Translates business requirements into technical solutions, builds APIs and integrations, applies AI-native engineering practices, supports CI/CD and release activities, and performs debugging and code reviews. Collaborates with clients, contributes to architecture and project planning, estimates complex workstreams, and mentors junior engineers while ensuring high-quality software delivery.

Leads custom application development and testing across cloud-native and on-premise environments. Manages engineering teams, project delivery, architecture, coding, testing, deployment, CI/CD, and client collaboration. Mentors junior engineers, improves performance and workflows, and applies modern frameworks, low-code platforms, and AI-enabled engineering techniques. Requires a bachelor’s degree and at least four years of experience, with preferred experience in Java, Python, React Native, or Mendix.

Leads platform support operations across cloud and on-premises environments. Manages support teams, incident response, deployments, releases, configuration, vulnerability remediation, monitoring, root cause analysis, and service improvements. Oversees DevSecOps workstreams, vendor governance, automation, operational planning, budgets, timelines, performance metrics, and stakeholder communications while mentoring team members and improving infrastructure reliability and security.

Design and implement Pega-based integration solutions and platform architectures for clients. Lead cloud and network architecture projects, analyze system interactions, manage project planning and execution, and ensure data integrity, security, and compliance. Manage client relationships, coach and mentor team members, resolve issues, and promote innovative technology practices across platform engineering teams.