Principal Engineer - Data Engineering - GEN AI
- Wells Fargo
- 7 - 12 years
- Hyderabad
- 1 month ago
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Job Description
About this role:
Wells Fargo is seeking a visionary Principal Engineer to shape the future of Credit Risk Technology at Wells Fargo. As a senior technical authority within the Credit Risk Technology organization, you will define and drive the architecture for diverse applications ensuring security, resilience, and scalability at global scale.
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:
- In this high-impact global role, you will serve as the Principal Engineer for a Credit Risk Technology product family, providing architectural leadership, deep technical oversight, and strategic direction across multiple platforms and vendors. You will bridge gaps between engineering teams, product management, and operationstranslating complex challenges into elegant, scalable solutions.
- Endtoend data platform architecture
- AI/LLM solution design (RAG, agents, finetuning)
- Cloud-scale engineering + distributed systems
- High coding proficiency in Python/Scala/SQL
- Security, governance, and enterprise AI controls
- Ability to drive technical vision, architecture, and execution.
- Define and own end-to-end architectural blueprints, reference designs, and standards across software, hardware, and cloud platforms along with applications modernization and rationalization.
- Act as a torchbearer for AI-driven development, including experience with AI, Gen AI, Agentic automation solutions design and development.
- Experience building and maintaining microservices using Spring Boot, with well-defined APIs and service contracts.
- Ability to define and enforce engineering standards, reference architectures, and best practices across teams.
- Translate near-term technical issues into long-term architectural improvements.
- Partner closely with Product Management to understand end-user needs, behaviors, and pain points, translating feedback into engineering requirements.
- Mentor and coach engineers across the organization, raising the bar for technical excellence
- Oversee development of applications, automations, and integrations that enhance productivity.
- Establish and enforce best practices for SDLC, code quality, API design, and system integration.
- Accelerate engineering velocity through improved tooling, processes, and architectural patterns.
Job Expectations:
- Software Development Automation: Proficiency in modern scripting or programming languages for automation and integration.
- Drive AI-driven development working with engineering teams, including experience with AI, Gen AI, Agentic automation solutions design and development.
- Cloud Security: Strong understanding of cloud-first architectures, identity, access management, and enterprise security principles.
- Strong skills in articulating complex technical concepts to non-technical stakeholders, as well as mentoring developers.
- Ability to see the "big picture" and make long-term technical decisions that align with business goals.
- Ability to negotiate and manage trade-offs between stakeholders and development teams.
- Recording and communicating architectural decisions and requirements.
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Engineering - Software & QARole Category: Software DevelopmentRole: Data EngineerEmployement Type: Full timeContact Details:
Company: Wells FargoLocation(s): Hyderabad+ View Contact
Keyskills: Ai Cloud Security Product Management Automation Data Engineering Api Design Architecture Scala Programming Spring Boot Llm Microservices Sdlc Sql Operating Systems Software Development Credit Risk System Integration Python
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Wells Fargo
Wells Fargo & Company (NYSE: WFC) is a diversified, community- based financial services company with $1. 9 trillion in assets. Founded in 1852 and headquartered in San Francisco, Wells Fargo provides banking, insurance, investments, mortgage, and consumer and commercial finance through more ...
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