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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Forward Deployed Engineer - Model Engineering - Senior - Consulting - OPEN Location - **Company:** Ernst & Young LLP - **Location:** Jefferson City, MO, United States - **Experience:** Expert - **Salary:** $128,400 - $192,500 - **Contract:** Permanent contract - **Skills:** C (Programming Language), Java (Programming Language), JavaScript (Programming Language), Agile Methodology, Artificial Intelligence, Data Analysis, JIRA, Audio Signal Processing, Microsoft Azure, C++ (Programming Language), Software Documentation, Data Transformation, Data Structures, Cursor, DevOps, Github, R (Programming Language), Python (Programming Language), Machine Learning, Natural Language Processing, Software Maintenance, OpenAI, Software Construction, Software Engineering, SQL Databases, Cloud Platform System, Data Ingestion, Pytorch, LangChain, Large Language Models, Apache Spark, Deep Learning, Generative AI, Agentic-AI, Pandas, Dall-E, Scikit Learn, Information Technology, AgentOps, Machine Learning Operations, Claude, Data Pipelines - **Published:** November 14, 2026 - **Apply:** https://www.techcareers.com/job.asp?id=3520342373&tx=JL6963FFI&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54 ## About the Role clients. We love to think creatively, build applications efficiently, and collaborate in both the ideation of solutions and the pursuit and expansion of new opportunities. Many on our team have advanced academic degrees or equivalent experience in industry., To excel in this role, you will need a blend of deep engineering expertise, client leadership, product delivery, and interpersonal skills. Your ability to navigate complex challenges and independently shape and deliver impactful solutions in client environments will be essential. This role will work to deliver tech at speed, innovate at scale, and put humans at the center. Provide technical guidance and share knowledge with team members with diverse skills and backgrounds. Consistently deliver quality client services focusing on more complex, judgmental and/or specialized issues surrounding emerging technology. Demonstrate technical capabilities and professional knowledge. Learn about EY and its service lines and actively assess and present ways to apply knowledge and services. * Strong analytical and decision-making skills to guide project direction. * Proven experience in project management and tracking deliverable completion. * Ability to build trust and maintain relationships with clients and business stakeholders, technology stakeholders, and team members. * Excellent communication skills to convey complex ideas effectively. To qualify for the role, you must have: * A Bachelor's degree required (4-year degree). * 3-6 years of full-time working experience in AI and/or Machine Learning * Strong skills in Python * Ability to collaborate and communicate effectively with diverse, hybrid and global teams * Experience identifying, solutioning, designing, building, deploying, and maintaining high-impact, high-value production AI/ML solutions on a major cloud platform * Proficient in foundation models, generative AI, and agentic AI frameworks (e.g., OpenAI, Dall-e, Langchain, Retrieval Augmented Generation (RAG)) and experienced with ML packages like scikit-learn and PyTorch * Experience with natural language processing and deep learning * Extensive experience in AI-assisted and DevOps tools (Claude, Codex, Cursor, GitHub, Azure DevOps), Agile methodologies (Jira), and CI/CD pipelines for developing, deploying, and scaling analytical solutions * Experience with MLOps, LLMOps, and AgentOps and ML workflows, including data ingestion, transformation, and evaluation * Experience with model retraining and feedback loop methodologies * Experience with model and solution evaluation, observability, monitoring and reporting * Understanding of data structures, Responsible AI practices, and data modelling, and software engineering best practices * Strong foundation in mathematics, statistics, and operations research, with proficiency in data manipulation tools (SQL, Pandas, Spark) and deep learning techniques in mathematics, statistics, and operations research, with proficiency in data manipulation tools (SQL, Pandas, Spark) and deep learning techniques * Excellent communication skills for conveying findings and recommendations, with a willingness to travel for client engagements Ideally, you'll also have: * Master's degree Computer Science, Mathematics, Physical Sciences, or another quantitative field * Experience in hybrid collaboration and emotional agility * A track record of working with diverse teams to drive outcomes through complex problem-solving of working with diverse teams to drive outcomes through complex problem-solving * Knowledge of sustainability practices in technology * A deep understanding of and ability to teach concepts, tools, features, functions, and benefits of different approaches to apply them * Strong skills in languages beyond Python: R, JavaScript, Java, C++, C * Experience fine-tuning Generative AI models * Experience with image processing techniques and/or speech and audio processing and analysis What we look for We seek individuals who are not only technically proficient but also possess the qualities of a top performer. You should be innovative, adaptable, and purpose driven by a desire to make a significant impact in the field of artificial intelligence. Your ability to collaborate effectively and communicate with clarity will set you apart as a leader in our team. ## Description In this role, you will contribute significantly to the end-to-end delivery of innovative AI solutions, from client discovery and solutioning through production operation and value measurement. You will work with a wide variety of clients to deliver modern AI engineering, machine learning, and generative AI technologies. Your teams will design and build scalable solutions that unify, enrich, and derive insights from varied data sources across a broad technology landscape. You will help our clients navigate the complex world of modern data science, analytics, and software engineering. We'll look to you to work hands-on with clients, provide guidance and perform technical development tasks to ensure AI solutions are responsibly engineered, evaluated, deployed, and maintained to support the ongoing business needs of our clients. You will be joining a dynamic and interdisciplinary team of scientists and engineers who love to tackle the most challenging computational problems for our, * Working with client stakeholders to translate ambiguous business and process challenges into scoped opportunities, then researching and implementing scalable machine learning, generative AI, and agentic systems that meet business requirements. * Designing AI-native applications, agentic workflows, reusable tools, connectors, and integrations while enhancing data pipelines and storage for optimal data accuracy and cleanliness. * Deploying, evaluating, monitoring, and optimizing learning processes to improve high-performance models. * Demonstrating solution value through measurable outcomes, identifying logical next use cases, and traveling as needed to engage with external clients regularly. * Using AI-native development tools such as Claude, Codex, Cursor, and GitHub to accelerate delivery while maintaining software engineering, testing, security, and documentation standards. * Creating evaluations, observability, feedback loops, access controls, and human-in-the-loop safeguards to manage quality, safety, reliability, performance, and cost.