As a key member of the AI Center for Enablement (C4E), provide platform, engineering, and enablement services to drive the adoption and utilization of Generative AI capabilities, fostering technological innovation and improving member experience through foundational AI capabilities.
Develop AI standards and best practices and establish processes for curating and registering AI models into Model Garden, ensuring compliance with regulatory and security standards throughout the model lifecycle.
Define, publish and socialize technology roadmaps for AI/ML enabled capabilities supporting business use cases and outcomes.
Partner with senior EDIM, technology product, and engineering leaders to shape and contribute to the strategic goals and direction needed to continuously evolve NFCU's AI Center For Enablement capabilities.
Lead and support enterprise developer productivity initiatives by leveraging AI-assisted coding assistants and creating chatbots for IT to drive efficiencies, navigating a complex environment with various tools and programming languages, and ensuring adoption and productivity gains across the organization.
Design, develop and deploy AI Engineering solutions with a focus on enabling AI governance, incorporating automated ground truth validation processes, toxicity filters, and transparency measures.
Curate, process and augment high-quality multimodal data while integrating RAG for robust model grounding and improved accuracy.
Develop AI chatbots or agents by adapting task-oriented LLM models fine-tuned to meet NFCU-specific domains and evaluate model outcomes to ensure accuracy, reduce significant hallucinations, and assure compliance.
Partner with business stakeholders to evaluate commercial AI solutions against custom-built options and deliver data-driven Build vs. Buy recommendations that balance technical capabilities, costs, reusability, and strategic business outcomes.
Build and maintain strategic partnerships with technology vendors and professional services firms specializing in advanced analytics, generative AI, and natural language processing (NLP) to drive NFCU value outcomes.
Build core engineering competencies in GPT algorithms, data ingestion for Large Language Models (LLMs), prompt engineering, and NLP/Chatbot interface construction.

Requirements

Bachelor’s degree in Computer Science, Data Science, Data Analytics, Engineering, Statistics, Mathematics or related technical field.
Experience with building and configuring a foundational GenAI platform including Model Garden, LLM model curation, prompt engineering, and setting up operational Governance controls.
Experience with creating and publishing AI Standards, Best Practices, Architecture is required.
Proven track record of driving and coordinating use of GenAI Code Assistants (GitHub Copilot, etc.) to drive Developer Productivity initiatives across the organization with clear value metrics.
Hands-on experience building production grade AI agents using industry leading platforms (Azure AI Foundry, etc.).
Experience with data platforms (Databricks, etc.) and organizing, cataloging and chunking of unstructured data for scalable Generative-AI solutions and robust knowledge management.
Hands-on experience leveraging advanced techniques including Retrieval Augmented Generation to drive model accuracy, minimize hallucinations, and ground the model in facts, specifically when building AI Chatbots.
Experience with vector stores and graph databases for managing complex relationships to use in AI applications such as recommendation systems.
Robust experience in Azure AI/Data solutions and a deep understanding of the evolving AI landscape, with proven track record in API integrations for accessing LLMs.
Strong leadership capabilities with experience collaborating with cross functional teams and leading, and engaging teams.
Working knowledge of Scaled Agile delivery approaches, Azure DevOps, and general CI/CD concepts.
Strong communication and presentation skills to explain designs and solutions to business and technical stakeholders.
Solid experience with Python and SQL required.

Benefits

Health insurance
401(k) matching
Flexible work hours
Paid time off
Remote work options

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills

Generative AIAI standardsbest practicesprompt engineeringAI governancedata ingestionNLPAI chatbotsvector storesgraph databases

Soft skills

leadershipcollaborationcommunicationpresentationcross-functional team engagement

Certifications

Bachelor’s degree in Computer ScienceBachelor’s degree in Data ScienceBachelor’s degree in Data AnalyticsBachelor’s degree in EngineeringBachelor’s degree in StatisticsBachelor’s degree in Mathematics