Software Engineer developing scalable applications in a collaborative environment using Microsoft tech stack. Focus on B2B SaaS with innovative solutions for enterprise customers.
About the role
- Principal Engineer driving design and implementation of AI technology solutions for fraud prevention at Wells Fargo. Engaging with cross-functional teams to enhance customer trust and regulatory compliance.
Responsibilities
- Design, prototype, and analyze novel technology solutions (leveraging ML, AI, GenAI, and Agentic AI) to improve fraud detection and prevention capabilities, including capabilities that will be applied across product and operational channels as well as in investigation, analytic, and remediation workflows and environments
- Act as an advisor to leadership to develop or influence applications, network, information security, database, operating systems, or web technologies for highly complex business and technical needs across multiple groups.
- Strategically engage with all levels of professionals and managers across the enterprise and serve as an expert advisor to leadership
- Lead the strategy and resolution of highly complex and unique challenges requiring in-depth evaluation across multiple areas or the enterprise, delivering solutions that are long-term, large-scale and require vision, creativity, innovation, advanced analytical and inductive thinking
- Translate advanced technology experience, an in-depth knowledge of the organizations tactical and strategic business objectives, the enterprise technological environment, the organization structure, and strategic technological opportunities and requirements into technical engineering solutions
- Design, develop and optimize Gen AI applications using agentic frameworks and tools
- Accelerate end-to-end solution delivery timelines by developing automated data, prompting and evaluation pipelines
- Streamline the enablement of Agentic AI solutions by building solution blueprints, re-usable patterns and identifying process improvements
- Develop automated AI model monitoring frameworks, enabling continuous model updates, explainability, and performance tracking.
- Drive cross-functional collaboration to define AI roadmaps, infrastructure strategies, and product enhancements, ensuring AI capabilities align with business AI strategies.
- Provide vision, direction and expertise to leadership on implementing innovative and significant business solutions
- Stay current with advancements in AI and NLP, incorporating new techniques into prompt engineering.
- Maintain knowledge of industry best practices and new technologies and recommend innovations that enhance operations or provide a competitive advantage to the organization
- Promote best practices in software development, architecture, and deployment across environments.
- Drive creative improvements to enhance performance, scalability, and maintainability.
- Lead projects, teams, and serve as a peer mentor.
Requirements
- 7+ years of Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
- 7+ years of experience on at least one of the programming language Java/Python/Go Lang
- 5+ Years of experience in building and maintaining complex technology solutions/data platforms, preferably in financial services or e-commerce
- Excellent collaboration, communication, and problem-solving skills.
- Passion for designing and building solutions incorporating AI, machine learning, data science, graph, and/or novel technologies, that deliver a seamless, end-user-focused experience.
- Direct experience working within fraud, payments, or online/in-game abuse detection environments is preferred.
- Strong expertise in AI model development and deployment with a strong background in LLMs, generative AI, and AI-engineering.
- Experience working with agentic technologies and frameworks.
- Working knowledge of AI infrastructure, Generative AI Operations, and enterprise-scale AI adoption strategies.
- Experience building solutions and driving development from prototype to production.
- Expertise in test or eval driven development, ensuring robust and scalable AI software.
- Solid grasp of data and error analysis, identifying issues and patterns throughout the AI pipeline
- Deep experience with generative AI models, including model prompting, tuning, and safety best practices.
- Experience in enterprise AI model lifecycle management, AI compliance, and risk mitigation strategies.
- Expertise in solution architecture (including front-end, middleware, and backend layers) and applying modular design techniques to workflow automation (including agentic workflow),
- Familiarity with enterprise-scale software systems and their integration within large organizations.
- Experience in backend application software development, with ability to quickly adapt to C#, and Python code bases.
- Excellent collaboration, communication, and problem-solving skills.
- Demonstrated success working in dynamic, cross-functional organizations and leading teams and programs via demonstrating technical excellence, coaching, and mentoring.
Benefits
- Health benefits
- 401(k) Plan
- Paid time off
- Disability benefits
- Life insurance, critical illness insurance, and accident insurance
- Parental leave
- Critical caregiving leave
- Discounts and savings
- Commuter benefits
- Tuition reimbursement
- Scholarships for dependent children
- Adoption reimbursement
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