First Vice President, Application Development - Document Processing

PENNYMACPennymac (NYSE: PFSI) is a specialty financial services firm with a comprehensive mortgage platform and integrated business focused on the production and servicing of U.S. mortgage loans and the management of investments related to the U.S. mortgage market. At Pennymac, our people are the foundation of our success and at the heart of our dynamic work culture. Together, we work towards a unified goal of helping millions of Americans achieve aspirations of homeownership through the complete mortgage journey.A Typical DayWe are seeking a highly experienced and motivated AI/ML Team Lead to spearhead the design, development, and deployment of cutting-edge AI/ML solutions within our Intelligent Document Processing (IDP) service. You will lead a team of engineers responsible for leveraging AWS Bedrock to build and optimize models that automatically classify, extract information, and process various types of documents. This role requires a deep understanding of machine learning algorithms, natural language processing (NLP), computer vision, AWS cloud technologies, and MLOps practices, along with strong leadership and communication skills to effectively guide and mentor your team.Responsibilities:Team Leadership:Lead and mentor a team of AI/ML engineers, fostering a culture of collaboration, innovation, and technical excellence.Delegate tasks effectively, provide technical guidance, and support the professional development of team members.Build and maintain high performing team with strong engineering principles and best practices.IDP Solution Architecture:Lead the design and implementation of AI/ML solutions for IDP on AWS Bedrock, including model selection, training, optimization, and deployment.Focus on models that accurately classify document types, extract key information (e.g., names, dates, amounts), and understand document structure.Ensure alignment of technical decisions with overall architecture standards and strategies.AWS Bedrock Expertise:Demonstrate deep understanding and proficiency in utilizing AWS Bedrock services (e.g., Titan FMs, foundation models) for various IDP tasks.This includes document classification, named entity recognition, optical character recognition (OCR), and information extraction.Model Development and Optimization:Develop and optimize high-performance machine learning models using Python and relevant libraries (e.g., TensorFlow, PyTorch, spaCy) for NLP and computer vision tasks specific to document processing.Identify and resolve performance and scalability issues in models and infrastructure.MLOps Implementation:Implement and manage MLOps practices to ensure efficient model development, deployment, monitoring, and retraining within the IDP pipeline.Work with DevOps team to ensure continuous delivery of the product using agile methodology.Cloud Infrastructure Management:Utilize AWS services (e.g., EC2, S3, Lambda, SageMaker) to build and manage scalable and cost-effective cloud infrastructure for IDP workloads.Data Engineering:Collaborate with data engineers to design and implement robust data pipelines for efficient document ingestion, preprocessing, and feature engineering.Technical Guidance:Provide technical guidance to peers on best practices, recommend appropriate technologies, and provide coverage on the latest technology trends.Lead and participate in code reviews.Performance Optimization:Continuously evaluate and optimize model performance, identifying and addressing bottlenecks to improve accuracy and efficiency of the IDP service.Research and Innovation:Stay abreast of the latest advancements in AI/ML, NLP, computer vision, and cloud technologies.Explore and evaluate new techniques and tools to enhance our IDP solutions.Collaboration:Work effectively with cross-functional teams (e.g., product management, data science, software engineering) to deliver impactful IDP solutions that meet business requirements.Communicate and collaborate with product managers and technology teams to design and build secure, large-scale distributed event-based systems.Build and maintain effective relationships with product managers, architects, technical leads, and business stakeholders.What You’ll BringRequired Skills:Experience with Microservices built using AWS Native Serverless stack (API Gateway, Kinesis, EventBridge, SQS, SNS, Step Functions, Lambda, AppSync, DynamoDB, and S3).Experience with AWS Bedrock, OCR, Document ClassificationExperience building out modern CI/CD pipelines using AWS CDK and GitLab CI.Experience developing and reviewing code written in modern programming languages.Hands-on experience in using Data Structures and algorithms, programming languages like JavaScript, TypeScript, Python etc.Ability to troubleshoot, research, and work through complex problems.Ability to communicate technical issues clearly and to present data concisely.Must be attentive to detail, flexible, and able to work concurrently on multiple initiatives.Preferred Skills:FinTech or Mortgage Domain knowledge.Experience in Agile/SCRUM using Jira.Experience with feature flagging and service/api semantic versioning.Experience:10+ years of experience in developing and architecting enterprise-class, distributed software solutions.5+ years of AWS experience.5+ years of hands-on experience in designing, developing, and deploying AI/ML solutions, with a focus on NLP and/or computer vision.2+ years of experience working with AWS cloud services, including experience with AWS Bedrock.Experience in building and deploying IDP solutions or similar document processing systems.Proven track record of leading and mentoring technical teams.Qualifications:Bachelor’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field, or relevant work experience.Soft Skills:Excellent communication and interpersonal skills.Strong problem-solving and analytical abilities.Ability to work independently and as part of a team.Passion for innovation and continuous learning.Why You Should JoinAs one of the top mortgage lenders in the country, Pennymac has helped over 4 million lifetime homeowners achieve and sustain their aspirations of home. Our vision is to be the most trusted partner for home. Together, 4,000 Pennymac team members across the country are guided by our core values: to be Accountable, Reliable and Ethical in all that we do. Pennymac is committed to conducting a business that makes positive contributions and promotes long-term sustainable growth and to fostering an equitable and inclusive environment, where all employees and customers feel valued, respected and supported. Benefits That Bring It Home: Whether you're looking for flexible benefits for today, setting up short-term goals for tomorrow, or planning for long-term success and retirement, Pennymac's benefits have you covered. Some key benefits include: Comprehensive Medical, Dental, and VisionPaid Time Off Programs including vacation, holidays, illness, and parental leave Wellness Programs, Employee Recognition Programs, and onsite gyms and cafe style dining (select locations)Retirement benefits, life insurance, 401k match, and tuition reimbursement Philanthropy Programs including matching gifts, volunteer grants, charitable grants and corporate sponsorshipsTo learn more about our benefits visit: Compensation: Individual salary may vary based on multiple factors including specific role, geographic location / market data, and skills and experience as defined below:Lower in range - Building skills and experience in the roleMid-range - Experience and skills align with proficiency in the role Higher in range - Experience and skills add value above typical requirements of the role Some roles may be eligible for performance-based compensation and/or stock-based incentives awarded to employees based on company and individual performance. Salary$140,000 - $175,000 Work ModelOFFICE