Top Tech Jobs & Startup Jobs in Los Angeles, CA

Lead architecture and delivery of complex cloud, data, and AI/ML systems. Define technical strategy, design scalable multi-cloud platforms, data pipelines, MLOps and LLM applications, and establish infrastructure, DevOps, security, governance, and observability standards. Partner with clients and leadership, resolve high-stakes integration challenges, mentor senior engineers, guide technology decisions, and lead cloud modernization initiatives.

Lead design, implementation, testing, and maintenance of mobile and web software. Build APIs and web applications, author documentation, create prototypes, perform code reviews, collaborate with designers and QA, support releases and post-release maintenance, mentor peers, and provide technical input for project estimates and sales.

Lead design and delivery of enterprise generative and agentic AI systems on AWS. Architect Bedrock-based RAG and multi-agent platforms, prototype in Python, ensure security, observability, IaC, and guide clients from discovery to production.

Lead design and delivery of enterprise generative and agentic AI systems on AWS. Architect scalable, secure Bedrock- and SageMaker-based platforms, validate via Python prototypes, enforce AWS Well-Architected and security best practices, mentor delivery teams, and drive business-aligned production deployments and reusable accelerators.

Design and deploy scalable data science and generative AI solutions: acquire and ETL data from S3/RedShift/Spark, analyze data quality, build/validate models (ML, NLP, networks), deploy models to production, and mentor teams while collaborating with stakeholders and engineering.

Own product delivery for Higher Education engagements: manage backlog, write requirements and user stories, run sprint execution, coordinate with engineering/design, liaise with clients, and apply AI tools to accelerate documentation and analysis to ship production-ready AI quickly.

Lead AI strategy engagements, manage complex client relationships, drive discovery, and deliver actionable plans to increase business effectiveness with AI solutions.

Lead end-to-end GenAI and agentic AI product initiatives for enterprise clients: define strategy and roadmap, run discovery and experiments, prototype and productionize agents, establish evaluation metrics and guardrails, manage deliveries, and partner with stakeholders and AWS to ensure scalable, secure deployments.