Role Description DreamWorks is seeking a highly collaborative AI Architect who will be a hands-on technical leader assistive across multiple teams aimed to provide results to both technical and creative departments. This role involves identifying, designing, and delivering AI-powered agentic architecture that eliminates the repetitive, manual, low-creativity tasks that pull artists and production management away from their craft, while maintaining high operational availability to ensure production systems run reliably. An ideal candidate should be an adventurous, growth-minded problem solver who thrives in collaborative environments, values transparency and trust, and possesses a deep passion for leveraging technology to empower artists and storytellers. If you believe the best technology disappears into the pipeline and lets artists focus on what only humans can do, join us in #livingthedream and #doingyourdreamwork! - Collaborate and advise on next-generation AI-assisted agentic workflows strategy alongside product owners, developers and creatives. - Design and own the architecture for AI-powered frameworks and automation across the entire Studio pipeline and platforms. - Define the end-to-end architecture for ingestion, processing, and routing of operational telemetry (metrics, logs, traces). - Integrate solutions with popular industry DCC tools. - Prototype solutions for high-friction tasks: asset tagging, scene prep, render queue management, shot setup, and versioning. - Define technical standards and integration patterns for AI tooling across departments and shows. - Evaluate and select AI frameworks, foundation models, and automation technologies for creative production and operational stability. - Build and maintain a library of reusable AI components and automation patterns. - Partner with platform, systems and security teams to monitor model drift, system latency, and system security. - Write, test, and deploy production-ready tools that run reliably inside active show pipelines. - Develop reference implementations that set the canonical pattern for future pipeline AI work. - Partner with engineers and TDs to fold automation into existing artist-facing toolsets. - Maintain and iterate on deployed tools based on artist feedback and production data. - Drive adoption across both technical and creative departments so tools are understood, trusted, and used. - Create lightweight training and documentation for artists and engineers. - Establish metrics for automation impact and report results to studio leadership on a regular cadence. - Champion a culture of continuous improvement and surface new automation opportunities as workflows evolve. Qualifications - Bachelor’s degree in Computer Science, Engineering, or a related technical field. - 10+ years building production systems, with 2+ years building AI/ML systems for real workflows. - Hands-on experience deploying enterprise software in AI, data, or integration environments. - Expertise with containerization, orchestration, Python, TypeScript, React, and AI frameworks such as LangGraph, Spring AI and MCP. - Deep understanding of LLM model integration and tuning. - Experience with designing automation that reduces manual work in complex, multi-stakeholder environments. - Proven ability to influence senior engineers without authority and to be the person others learn from. - History of building and supporting durable artifacts: frameworks, templates, training, open source that extend to other projects. - Excellent communication skills and the ability to translate fluently between artists, production management, and engineers. - Genuine passion for animation, storytelling, or creative production. - Fully Remote: This position has been designated as fully remote, meaning that the position is expected to contribute from a non-NBCUniversal worksite, most commonly an employee’s residence. Requirements - 2+ years in a Principal, Staff, or Lead role responsible for AI or pipeline automation, ideally in a creative studio. - Strong understanding of the animation production pipeline, departmental workflows, and industry-standard digital content creation (DCC) software. - Familiarity with animation frameworks and standards such as USD, Autodesk Flow Production Tracking and Jira. - Experience measuring and reporting the productivity impact of engineering tooling investments. - Stays current with AI trends and emerging technologies. - Fully Remote: This position has been designated as fully remote, meaning that the position is expected to contribute from a non-DreamWorks worksite, most commonly an employee’s residence. Benefits - Salary Range: $190,000 - $230,000 yearly

• Develop and maintain quantitative trading strategies. • Build backtesting, optimization, and portfolio construction frameworks. • Implement walk-forward analysis, Monte Carlo testing, and robustness validation. • Work with market data including equities, futures, forex, and crypto. • Integrate machine learning models into trading workflows. • Collaborate with Java execution and platform engineering teams. • Deploy research into production trading environments. • Monitor strategy performance and improve risk-adjusted returns.

• Own AI features end-to-end from designing agentic workflows and RAG pipelines to the infrastructure that runs them in production at scale • Work on genuinely hard problems financial data is structured, high-stakes and unforgiving, making it one of the more interesting domains to apply LLMs to • Build the evaluation frameworks and experimentation loops that turn good models into reliable, production-grade systems • Partner directly with product and domain experts to push the frontier of what AI can do inside an ERP, not just what's been done before

• Design, build, and maintain production-grade Generative AI, Agentic AI, and machine learning applications. • Develop evaluation and testing approaches to measure model performance, identify regressions, and improve solution quality. • Apply LLMs, multimodal models, retrieval-augmented generation (RAG), structured extraction, and tool calling to solve real-world healthcare workflows. • Partner with Engineering, Product, Data, and Operations teams to integrate AI capabilities into client’s systems. • Improve the reliability, observability, guardrails, and monitoring of production AI applications. • Stay current with advancements in AI technologies and apply them pragmatically to deliver business value.