As an AI Engineer, you will play a critical role in building and scaling AI-powered capabilities that directly influence Epsilon's products, platforms, and client outcomes. Within Epsilon's Corporate Intelligence Platform (CIP) in Enterprise Business Systems, you will be responsible for operationalizing AI-driven capabilities that make enterprise data more intuitive, intelligent, and accessible. You will design and build AI-powered experiences that enable business users to interact with data using natural language while ensuring outputs are accurate, governed, and aligned with approved business definitions and metrics. This role offers the opportunity to work on high-impact initiatives involving generative AI, large language models (LLMs), agentic workflows, intelligent automation, retrieval-augmented generation (RAG), and enterprise analytics. Your work will help transform how Epsilon teams explore data, generate insights, and make better business decisions while advancing the company's broader goals of innovation, operational excellence, and data-driven decision making. Engineers in this position gain deep experience across applied AI, enterprise analytics, software engineering, large-scale data platforms, and production AI systems while contributing directly to Epsilon's long-term AI strategy and the evolution of the Corporate Intelligence Platform. Responsibilities AI-Powered Data Experiences 3 Design, develop, and deploy AI-powered solutions that are scalable, reliable, secure, and production-ready. 3 Build AI-driven interfaces that enable users to query CIP data through natural language prompts and receive structured, business-aligned responses. 3 Develop conversational AI and Genie-style experiences integrated with curated datasets, metrics layers, and business semantic models. 3 Collaborate with cross-functional partners to embed AI capabilities into internal platforms. Generative AI & LLM Engineering 3 Contribute to the development of generative AI and LLM-based solutions using prompt engineering, retrieval-augmented generation (RAG), vector search, orchestration frameworks, and model fine-tuning techniques. 3 Design and implement prompt frameworks, templates, and reusable patterns optimized for enterprise analytics, financial metrics, resource planning, and product intelligence use cases. AI Governance & Responsible AI 3 Implement guardrails to ensure safe, accurate, compliant, and trustworthy AI responses. 3 Enforce enterprise data access controls and security requirements within AI workflows. AI Adoption & Enablement 3 Partner with product, analytics, and engineering teams to create intuitive AI-powered user experiences. 3 Enable business users to safely self-serve insights through AI-driven workflows and conversational interfaces. 3 Support training, documentation, and adoption initiatives that drive enterprise-wide usage of AI capabilities. Qualifications What You'll Bring With You 3 4+ years of experience building machine learning, AI-driven, or generative AI solutions in production environments. 3 Strong foundation in machine learning, software engineering, statistics, and data structures. 3 Proficiency in Python and experience applying production-grade software engineering practices. 3 Experience designing and optimizing prompts for reliable, repeatable AI outcomes. 3 Familiarity with large language models, retrieval-augmented generation (RAG), vector search, agent-based architectures, and conversational AI experiences. 3 Experience working with cloud platforms such as AWS, Azure, GCP, or Databricks. 3 Strong understanding of data models, metrics, semantic layers, and data governance concepts. 3 Experience implementing AI guardrails, validation frameworks, security controls, and compliance practices. 3 Ability to work across the full AI lifecycle, from data exploration and modeling through deployment, monitoring, and continuous improvement. 3 Proven ability to collaborate effectively with product managers, analysts, engineers, and business partners. 3 Strong problem-solving skills and comfort operating in ambiguous or evolving problem spaces. Why You Might Stand Out From Other Talent 3 Experience building enterprise AI solutions using Databricks ML/GenAI, or similar platforms. 3 Deep expertise in prompt engineering, evaluation frameworks, and AI quality measurement. 3 Experience developing natural language interfaces for analytics, reporting, and business intelligence platforms. 3 Familiarity with enterprise semantic layers, governed metrics repositories, or modern data platforms. 3 Experience collaborating closely with product and platform teams on customer-facing and enterprise AI features. 3 MS degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related field (or equivalent practical experience). Click here to view how Epsilon transforms marketing with 1 View, 1 Vision, 1 Voice. Additional Information Compensation Range: USD $73,500.00 - USD $136,500.00/Annually. This is the pay range the Company believes it will pay for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on the skills, qualifications, and experience of the applicant along with the requirements of the position, and the Company reserves the right to modify this pay range at any time. Temporary roles may be eligible to participate in our freelancer/temporary employee medical plan through a third-party benefits administration system once certain criteria have been met. Temporary roles may also qualify for participation in our 401(k) plan after eligibility criteria have been met. For regular roles, the Company will offer medical coverage, dental, vision, disability, 401k, and paid time off. The Company anticipates the application deadline for this job posting will be 9/3/2026.