Top Tech Jobs & Startup Jobs in Los Angeles, CA

Supports consulting clients in identifying, prioritizing, and implementing Generative AI solutions. Responsibilities include facilitating workshops, analyzing requirements and processes, supporting proof-of-concepts, exploring data, developing documentation, testing solutions, tracking project plans, translating business needs into technical specifications, and delivering GenAI training. The role emphasizes Microsoft AI technologies, prompt engineering, Agile and SDLC practices, continuous AI learning, and client collaboration.

Lead post-go-live optimization for Microsoft Dynamics 365 Finance clients. Assess production environments, identify configuration and adoption gaps, prioritize enhancement roadmaps, manage backlogs, and guide design, testing, and releases. Advise finance and operations leaders, improve data integrity and user experience, identify Copilot and agentic AI opportunities, review engagement quality, mentor consultants, and contribute to consulting methodologies and practice growth.

Lead HCM/payroll implementations for public sector clients: gather requirements, run workshops, design/configure systems, write user stories, support testing/reconciliation, mentor analysts, deliver documentation and presentations, and support proposals and client relationships using Agile methods.

Consultants analyze business, risk, compliance, audit, security, and technology processes; support IT audits and cybersecurity assessments; document requirements; configure and test GRC, fraud, sanctions, and risk platforms; develop test plans and automation; analyze data for control testing and reporting; prepare client-facing documentation; and collaborate to deliver technology-enabled risk and compliance solutions.

Lead and grow R&D and energy tax credit engagements (R&D credits, ITC/PTC, PWA), manage projects and teams, perform tax technical analysis and quality review, drive business development, produce documentation and client reporting, mentor staff, and use advanced data tools (Excel, Power BI, Alteryx).

Summer data science internship working on ML projects (anomaly detection, numerical optimization, PII/PHI NLP). Interns will develop models, write high-quality Python, use Linux and development tools, work with git, Docker, CI/CD and Kubernetes, participate in code reviews and agile rituals, and present results to technical and non-technical audiences.

Support risk and internal audit engagements by analyzing processes, testing controls, organizing documentation, preparing workpapers, using data analytics, and assisting with regulatory, model, credit, and financial crime reviews. Participate in client meetings and produce client-ready reports and recommendations while learning tools and contributing to team delivery.

Develop and productionize AI features from PoC to scalable deployments. Write production-ready Python code, implement testing and debugging, refine user stories, participate in ethical and security reviews, and collaborate with stakeholders to align AI solutions with business needs.

Support IT audits, cybersecurity assessments, compliance reviews, and risk-technology implementations. Assist with GRC system configuration, testing, data analysis, automation, documentation, and client-facing deliverables while learning cloud, analytics, and AI-enabled tools.

Develop reusable ML tooling and libraries, collaborate with data scientists to productionize models, build services and APIs (Docker/Linux), follow engineering best practices, and support project lifecycle from intake to maintenance.