Top Tech Jobs & Startup Jobs in Los Angeles, CA

Lead design and execution of test strategies for generative AI systems (LLMs, RAG, agents). Validate accuracy, factuality, fairness, bias, consistency, and security of AI outputs. Create API and model-endpoint tests, automate test suites, perform adversarial and exploratory testing, detect hallucinations, validate data quality and performance metrics, and collaborate with cross-functional Agile/DevOps teams to ensure safe, reliable GenAI deployments.

Senior hands-on Cloud Data Architect responsible for designing scalable, secure Snowflake-based data platforms and lakehouse solutions, enabling enterprise analytics and AI-native applications. Lead architecture, create design artifacts and blueprints, define scope and sizing, translate business requirements into technical solutions, collaborate with security and data teams, mentor junior staff, and guide implementation.

Develop, test, and maintain applications using Java, Python, or Node.js. Write clean, efficient code, debug and optimize, collaborate with cross-functional teams, use data structures/algorithms, work with SQL/NoSQL databases, participate in code reviews, and stay current on AI/ML concepts, agents, and automation tools.

Design, build, and optimize end-to-end ETL/ELT pipelines using Python and PySpark for large structured and unstructured datasets. Ensure data quality through validation and reconciliation, troubleshoot performance issues, implement CI/CD and code review practices, and collaborate with IT and business stakeholders to translate requirements into scalable data solutions.

Support and maintain enterprise Certificate Authority infrastructure including certificate issuance, renewal, revocation, and PKI operations. Troubleshoot certificate-related issues, ensure PKI security and compliance, collaborate with infrastructure and security teams, and contribute to documentation and process improvements.

Lead design and implementation of data ingestion, data lake, and ETL solutions using Big Data technologies. Build performant cloud data pipelines, integrate multiple data sources, optimize query performance, enable analytics and data science teams, and lead offshore engineering teams.

Manage client project plans and budgets, ensuring alignment with client requirements, while leading Agile ceremonies and promoting best practices. Requires technical knowledge and project management skills to address challenges and enhance collaboration.

Document and reverse-engineer the client's ServiceNow data model and ITSM/CMDB processes. Design API-based incremental extraction into a Bronze layer and specify Bronze->Silver->Gold mappings. Define DNA crosswalk keys, data-quality gates and KPI confidence scoring, and support pipeline development, observability, and automated testing for ServiceNow as a source system.

The Java Architect will design AI-augmented SDLC pipelines, manage multi-agent systems, integrate AI with quality tools, and develop automated testing processes.

Reverse-engineer Procore data model and REST APIs; map Bronze→Silver→Gold datasets with transformation rules and data-quality defects; define crosswalk keys (global Project ID) reconciling Procore, P6, and Yardi; define data-quality gates and confidence scoring; support pipeline development and automated testing; validate Gold datasets against sources and document a reusable template.