Principal Engineer - Conversational AI & Digital Banking Assistance at Wells Fargo

Hyderabad, Telangana, India -

Full Time

Start Date

Immediate

Expiry Date

08 Jul, 26

Salary

0.0

Posted On

09 Apr, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Java, Spring Boot, Python, Generative AI, LLMs, RAG Architectures, Vector Databases, Microservices, Distributed Systems, Cloud-native, GCP, Azure, Kafka, ReactJS, AI Governance, Banking Domain

Industry

Financial Services

Description

About this role: Wells Fargo is seeking a Principal Engineer In this role, you will: 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 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 Provide vision, direction and expertise to leadership on implementing innovative and significant business solutions Maintain knowledge of industry best practices and new technologies and recommends innovations that enhance operations or provide a competitive advantage to the organization Strategically engage with all levels of professionals and managers across the enterprise and serve as an expert advisor to leadership Required Qualifications: 7+ years of Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education Desired Qualifications: Strong hands-on expertise in Java tech stack (Spring Boot, REST APIs, microservices, concurrency, performance tuning) and Python Proven experience designing large-scale distributed systems in production 1–2 years of experience delivering GenAI systems, including hands-on work with: Applications powered by LLMs RAG architectures Embeddings and vector databases Agent frameworks and orchestration Experience integrating AI services into enterprise backend platforms Strong cloud-native experience (GCP, Azure) Ability to influence architectural decisions across complex systems Experience in Banking/Financial Services domains, experience implementing AI governance, risk, and model validation frameworks Familiarity with event-driven architectures (Kafka or similar) Experience modernizing legacy Java systems with AI augmentation Excellent communication skills with experience engaging senior stakeholders Deployment of GenAI services embedded into core Java-based banking platforms Strong alignment between AI capabilities and retail banking product strategy Production-grade GenAI applications integrated into Java-based enterprise platforms RAG pipelines, agent orchestration layers, and AI service abstractions callable from core Java systems Observability, resilience, and governance frameworks for AI-enabled services Design and implement high-performance distributed systems primarily in Java (Spring Boot, microservices architecture), ReactJS and MicroFrontends Integrate LLMs, RAG pipelines, and AI orchestration frameworks into enterprise Java systems Lead deep technical design reviews across backend, API, and AI integration layers Partner with Product and Business leaders to shape AI-enabled banking capabilities Mentor senior engineers and elevate engineering rigor across the organization You will solve hard engineering problems inside regulated, mission-critical environments You will influence AI platform direction at scale and build durable systems — not prototypes. Posting End Date: 15 Apr 2026 *Job posting may come down early due to volume of applicants. We Value Equal Opportunity Wells Fargo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic. Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit’s risk appetite and all risk and compliance program requirements. Candidates applying to job openings posted in Canada: Applications for employment are encouraged from all qualified candidates, including women, persons with disabilities, aboriginal peoples and visible minorities. Accommodation for applicants with disabilities is available upon request in connection with the recruitment process. Applicants with Disabilities To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo. Drug and Alcohol Policy Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy to learn more. Wells Fargo Recruitment and Hiring Requirements: a. Third-Party recordings are prohibited unless authorized by Wells Fargo. b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process. Wells Fargo & Company (NYSE: WFC) is a leading financial services company that has approximately $1.9 trillion in assets. We provide a diversified set of banking, investment and mortgage products and services, as well as consumer and commercial finance, through our four reportable operating segments: Consumer Banking and Lending, Commercial Banking, Corporate and Investment Banking, and Wealth & Investment Management. Wells Fargo ranked No. 34 on Fortune’s 2024 rankings of America’s largest corporations. In the communities we serve, the company focuses its social impact on building a sustainable, inclusive future for all by supporting housing affordability, small business growth, financial health, and a low-carbon economy. News, insights, and perspectives from Wells Fargo are also available at Wells Fargo Stories. Additional information may be found at www.wellsfargo.com LinkedIn: https://www.linkedin.com/company/wellsfargo For questions on how to search and apply, visit our frequently asked questions.

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Responsibilities

The Principal Engineer will lead the strategy and development of complex Conversational AI and digital banking solutions while advising leadership on technical innovation. They are responsible for designing high-performance distributed systems and integrating AI capabilities into core enterprise banking platforms.