{"id":52319,"date":"2026-08-03T14:37:26","date_gmt":"2026-08-03T14:37:26","guid":{"rendered":"https:\/\/www.monmouth.edu\/career-development\/job\/applied-ai-researcher\/"},"modified":"2026-08-03T20:25:09","modified_gmt":"2026-08-04T00:25:09","slug":"applied-ai-researcher","status":"publish","type":"ch_job","link":"https:\/\/www.monmouth.edu\/career-development\/job\/applied-ai-researcher\/","title":{"rendered":"Applied AI Researcher"},"content":{"rendered":"<p><strong>Position 3: Applied AI Researcher _ Jersey City, NJ<\/strong><\/p>\n<p><strong>GenAI \/ NLP \/ Agentic AI \/ Applied Machine Learning<\/strong><\/p>\n<ul>\n<li><strong>Must be willing to be onsite 4 days per week (Jersey City, NJ)<\/strong><\/li>\n<li><strong>Must be willing to attend onsite client intw.<\/strong><\/li>\n<\/ul>\n<p>Bridge advanced AI research and practical enterprise use cases by validating models, methods, and prototypes that can become production-grade AIRP solutions. The role focuses on measurable business value, rigorous experimentation, model behavior, and safe translation of research into banking-relevant applications.<\/p>\n<p>Research must be grounded in enterprise business use cases, not generic AI experimentation.<\/p>\n<p>Candidates should understand how model, retrieval, data, evaluation, latency, cost, and safety decisions affect production delivery on AIRP.<\/p>\n<p>Cloud\/AWS awareness is valuable because successful research outputs must be handed off to engineering teams building on AWS-hosted AIRP.<\/p>\n<p><strong>Primary ownership<\/strong><\/p>\n<p>Applied research agenda for LLMs, NLP, RAG, evaluation, multimodal AI, and agentic workflows relevant to enterprise use cases.<\/p>\n<p>Prototypes, experiments, benchmark design, model-selection recommendations, and production-readiness evidence.<\/p>\n<p>Research-to-production handoff with AI engineering, AIRP platform, product, risk, and governance teams.<\/p>\n<p><strong>Key responsibilities<\/strong><\/p>\n<p>Conduct applied research in LLMs, GenAI, NLP, information retrieval, multimodal AI, synthetic data, and agentic AI.<\/p>\n<p>Design experiments to evaluate model performance, robustness, safety, scalability, interpretability, enterprise usefulness, and production feasibility.<\/p>\n<p>Prototype AI solutions for KYC, credit underwriting, governance tracking, pitch book generation, Banker 360, Customer 360, deal library intelligence, financial crime quality, and sanctions screening.<\/p>\n<p>Develop evaluation methodologies using golden datasets, adversarial testing, offline benchmarks, human review, business outcome metrics, and risk-specific acceptance criteria.<\/p>\n<p>Assess prompt optimization, RAG, fine-tuning, instruction tuning, synthetic data generation, distillation, and model adaptation techniques.<\/p>\n<p>Document model limitations, data assumptions, hallucination patterns, bias risks, performance boundaries, and control recommendations for regulated deployment.<\/p>\n<p>Collaborate with engineers to convert prototypes into production-ready AIRP requirements, including latency, cost, observability, security, and AWS\/cloud deployment considerations.<\/p>\n<p>Track emerging AI research and translate relevant advances into practical recommendations for the enterprise.<\/p>\n<p><strong>Must-have\u00a0<\/strong><\/p>\n<p>Advanced degree preferred, usually MS or PhD in AI, ML, computer science, statistics, computational linguistics, mathematics, or related field.<\/p>\n<p>Strong foundation in machine learning, deep learning, NLP, transformers, information retrieval, and generative AI.<\/p>\n<p>Hands-on experience with LLMs, embeddings, RAG, model evaluation, and applied GenAI experimentation.<\/p>\n<p>Python skills with PyTorch, TensorFlow, Hugging Face, scikit-learn, or equivalent research frameworks.<\/p>\n<p>Ability to design rigorous experiments and communicate findings to technical, product, business, risk, and governance stakeholders.<\/p>\n<p>Ability to translate research results into production requirements suitable for an AWS-hosted enterprise platform.<\/p>\n<p><strong>Preferred experience<\/strong><\/p>\n<p>Research or applied science experience in banking, finance, compliance, risk, legal, operations, financial crime, sanctions, or enterprise knowledge systems.<\/p>\n<p>Experience with AWS Bedrock, SageMaker, vector search, MLflow, Databricks, model evaluation tooling, or cloud-based experimentation environments.<\/p>\n<p>Publications, patents, internal research contributions, open-source AI contributions, or prior research-to-production handoffs.<\/p>\n<p>Familiarity with Responsible AI, model validation, privacy constraints, audit documentation, and regulated deployment environments.<\/p>\n<p>\u00a0<\/p>\n","protected":false},"featured_media":0,"template":"","meta":{"_ch_employer_id":"52313","_ch_external_id":"11265506","_ch_location_state":"","_ch_location_city":"","_ch_is_ocr_job":"","_ch_expiration_date":"2026-09-02","_ch_apply_link":"https:\/\/monmouth.joinhandshake.com\/jobs\/11265506\/share_preview"},"ch_stakeholder":[],"ch_class_year":[],"ch_job_category":[86],"ch_career_skill":[],"ch_industry":[65],"class_list":["post-52319","ch_job","type-ch_job","status-publish","hentry","ch_job_category-full-time","ch_industry-science-technology-innovation"],"_links":{"self":[{"href":"https:\/\/www.monmouth.edu\/career-development\/wp-json\/wp\/v2\/ch_job\/52319","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.monmouth.edu\/career-development\/wp-json\/wp\/v2\/ch_job"}],"about":[{"href":"https:\/\/www.monmouth.edu\/career-development\/wp-json\/wp\/v2\/types\/ch_job"}],"wp:attachment":[{"href":"https:\/\/www.monmouth.edu\/career-development\/wp-json\/wp\/v2\/media?parent=52319"}],"wp:term":[{"taxonomy":"ch_stakeholder","embeddable":true,"href":"https:\/\/www.monmouth.edu\/career-development\/wp-json\/wp\/v2\/ch_stakeholder?post=52319"},{"taxonomy":"ch_class_year","embeddable":true,"href":"https:\/\/www.monmouth.edu\/career-development\/wp-json\/wp\/v2\/ch_class_year?post=52319"},{"taxonomy":"ch_job_category","embeddable":true,"href":"https:\/\/www.monmouth.edu\/career-development\/wp-json\/wp\/v2\/ch_job_category?post=52319"},{"taxonomy":"ch_career_skill","embeddable":true,"href":"https:\/\/www.monmouth.edu\/career-development\/wp-json\/wp\/v2\/ch_career_skill?post=52319"},{"taxonomy":"ch_industry","embeddable":true,"href":"https:\/\/www.monmouth.edu\/career-development\/wp-json\/wp\/v2\/ch_industry?post=52319"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}