Senior AI Data Engineer at TWG Global AI

Santa Monica, California, United States -

Full Time

Start Date

Immediate

Expiry Date

25 Dec, 25

Salary

190000.0

Posted On

26 Sep, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, AI, ML Pipelines, Python, Data Quality, Data Governance, Cloud Infrastructure, Vector Databases, Graph-Based Data, Collaboration, Data Integration, Data Processing, Model Training, Data Lifecycle Management, Pipeline Orchestration, AI Solutions

Industry

Holding Companies

Description

At TWG Group Holdings, LLC (“TWG Global”), we drive innovation and business transformation across a range of industries—including financial services, insurance, technology, media, and sports—by leveraging data and AI as core assets. Our AI-first, cloud-native approach delivers real-time intelligence and interactive business applications, empowering informed decision-making for both customers and employees. We prioritize responsible data and AI practices, ensuring ethical standards and regulatory compliance. Our decentralized structure enables each business unit to operate autonomously, supported by a central AI Solutions Group, while strategic partnerships with leading data and AI vendors fuel game-changing efforts in marketing, operations, and product development. You will collaborate with management to advance our data and analytics transformation, enhance productivity, and enable agile, data-driven decisions. By leveraging relationships with top tech startups and universities, you will help create competitive advantages and drive enterprise innovation. At TWG Global, your contributions will support our goal of sustained growth and superior returns, as we deliver rare value and impact across our businesses. The Role: We’re looking for a Senior AI Data Engineer to join our Data Integration & Engineering team. In this role, you’ll design, build, and optimize the data infrastructure that powers AI capabilities across the organization. You’ll be responsible for building robust, production-grade pipelines to support vectorized and graph-based data workflows, LLM/RAG applications, and supervised learning models. This is a hands-on, collaborative role where you’ll partner with AI engineers, data scientists, and business stakeholders to deliver scalable, high-impact data systems fueling AI-powered business applications. What you'll work on: Designing and implementing scalable, reliable data pipelines and integrations to support LLM/RAG use cases. Developing end-to-end workflows for vectorized and graph-based data, embedding generation, and retrieval systems. Building and curating training datasets for supervised learning and model fine-tuning. Processing structured and unstructured data into vectorized and training-ready formats. Writing clean, scalable Python scripts to automate AI/ML data processing and pipeline orchestration. Partnering with AI researchers, product managers, and business teams to deploy data infrastructure supporting real-world AI solutions. Maintaining high standards for data quality, governance, and system reliability. Participating in ongoing efforts to improve tools, infrastructure, and processes to meet evolving AI program needs. Work within the Palantir Foundry platform to operationalize end-to-end data solutions. Evaluating and integrating new AI-native data tools and infrastructure enhancements. 3–5+ years’ experience in data engineering with a focus on AI/ML pipelines, scalable infrastructure, or data products in production environments. Bachelor’s degree in Computer Science, Data Science, Engineering, or equivalent experience. Proven success building end-to-end, production-grade pipelines for AI/LLM or machine learning workflows. Strong hands-on experience with Python for AI/ML data processing, vectorized data workflows, and model training pipelines. Experience working with vector databases, embeddings, or graph-based data infrastructure. Solid understanding of data lifecycle management, pipeline orchestration, and cloud-based infrastructure. Demonstrated ability to collaborate across AI, engineering, and product teams in a fast-paced environment. Preferred: Familiarity with modern AI-native data tools. Experience with cloud data platforms and orchestration tools. Experience leading or contributing to large-scale AI/ML data infrastructure projects. Strong problem-solving skills and a drive to stay ahead in AI. Why work with us: Work at the forefront of AI/ML innovation in life insurance, annuities, and financial services. Drive AI transformation for some of the most sophisticated financial entities. Be part of a high-growth AI startup. Competitive compensation, benefits, future equity options, and leadership opportunities. Compensation: The expected annual salary range for this role is $120,000-190,000. A discretionary bonus may be provided as part of the compensation package. Position Location: This position will work out of the TWG office on a hybrid schedule in Santa Monica, CA. Consideration for a different working location will be considered on a case-by-case basis. TWG is an equal opportunity employer. All applicants will be considered for employment without attention to age, race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.

Responsibilities

Design, build, and optimize data infrastructure for AI capabilities. Collaborate with AI engineers, data scientists, and business stakeholders to deliver scalable data systems.