Lead Software Engineer - Machine Learning Operations Virtual Agent Assist

Location: Wilmington, DE, United States

Job Family: Software Engineering

About the Role

At JPMorgan Chase, we are at the forefront of transforming financial services through innovative technology. As a Lead Software Engineer - Machine Learning Operations Virtual Agent Assist, you will play a pivotal role in enhancing our AI-powered customer service platforms. Based in Wilmington, DE, this position offers the chance to lead cutting-edge MLOps initiatives that power virtual agents assisting clients with everything from account management to investment advice. You will drive the integration of machine learning models into our robust banking ecosystem, ensuring seamless, secure, and efficient operations that comply with stringent financial regulations. This role is ideal for a seasoned engineer passionate about AI's impact on global finance, providing opportunities to collaborate with top talent and push the boundaries of what's possible in fintech. Your primary focus will be on architecting scalable MLOps pipelines that support the deployment and monitoring of ML models for virtual agents. You will work closely with cross-functional teams to develop NLP-driven solutions that handle complex financial interactions, such as fraud detection alerts or personalized wealth advisory. Responsibilities include optimizing model performance for real-time responsiveness, ensuring data lineage and auditability to meet JPMorgan's compliance standards, and innovating with emerging technologies like generative AI. In this leadership position, you will mentor engineers, conduct technical deep dives, and contribute to strategic roadmaps that align with our commitment to client-centric innovation in retail banking and beyond. JPMorgan Chase values a diverse and inclusive workplace, offering not just professional growth but also a supportive environment to thrive. This role provides exposure to high-impact projects that influence millions of customers worldwide, with ample opportunities for career advancement within our technology organization. If you are excited about leveraging machine learning to revolutionize financial services, join us in Wilmington and be part of a team that's redefining the future of banking.

Key Responsibilities

• Lead the design, development, and deployment of machine learning models for the Virtual Agent Assist platform, enhancing customer service in JPMorgan Chase's financial products
• Collaborate with data scientists, product managers, and compliance teams to ensure ML solutions align with regulatory requirements in the banking sector
• Implement MLOps pipelines for continuous integration, testing, and monitoring of AI models to maintain high availability and performance
• Optimize virtual agent capabilities using advanced NLP and machine learning techniques to handle complex financial queries and transactions
• Mentor junior engineers and foster a culture of innovation in AI-driven solutions for wealth management and retail banking
• Conduct code reviews, troubleshoot production issues, and drive scalability improvements for global user bases
• Integrate ML models with JPMorgan's core banking systems, ensuring secure data handling and real-time processing
• Stay abreast of emerging AI trends and financial technologies to recommend enhancements to the Virtual Agent Assist ecosystem
• Participate in agile ceremonies, including sprint planning and retrospectives, to deliver iterative improvements

Required Qualifications

• Bachelor's degree in Computer Science, Engineering, or a related field; advanced degree preferred
• 7+ years of experience in software engineering with a focus on machine learning operations (MLOps)
• Proven experience in designing and deploying ML models in production environments, particularly for virtual agents or AI assistants
• Strong understanding of financial services regulations and data privacy standards (e.g., GDPR, SOX)
• Experience leading cross-functional teams in agile environments within large-scale financial institutions
• Proficiency in cloud platforms such as AWS, Azure, or Google Cloud for ML workflows

Preferred Qualifications

• Master's or PhD in Machine Learning, AI, or Data Science
• Experience with natural language processing (NLP) and conversational AI technologies like Dialogflow or Rasa
• Prior work at a major financial institution, such as JPMorgan Chase or similar, on AI-driven customer service solutions
• Certifications in MLOps tools (e.g., Kubeflow, MLflow) or cloud ML services

Required Skills

• Machine Learning frameworks (TensorFlow, PyTorch)
• MLOps tools (Kubeflow, MLflow, Airflow)
• Natural Language Processing (NLP) and conversational AI
• Python, Java, or Scala programming
• Cloud computing (AWS SageMaker, Azure ML)
• CI/CD pipelines and containerization (Docker, Kubernetes)
• Data privacy and compliance in financial services
• Agile methodologies and team leadership
• Problem-solving and debugging in production environments
• SQL and big data technologies (Spark, Hadoop)
• Version control (Git) and collaborative development
• Communication and stakeholder management
• Analytical thinking for model optimization
• Adaptability to fast-paced financial tech environments

Benefits

• Competitive base salary and performance-based annual bonuses
• Comprehensive health, dental, and vision insurance plans
• 401(k) retirement savings plan with generous company matching
• Paid time off, including vacation, sick days, and parental leave
• Professional development opportunities, such as tuition reimbursement and access to JPMorgan's internal training programs
• Employee stock purchase plan and financial wellness resources
• Flexible work arrangements, including hybrid options in Wilmington, DE
• On-site fitness centers, wellness programs, and employee assistance services

JP Morgan Chase is an equal opportunity employer.