Principal Engineer – Data Engineering, AI & Distributed Systems

Wells Fargo · Banking & Financial Services

Bengaluru, India
On-site
Posted today
Apply by 29 Oct
Data & AI

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About the job

About this role:

Wells Fargo is seeking a highly experienced Principal Engineer to provide technical leadership across enterprise data platforms, distributed systems, AI solutions, and cloud-native application architectures. This role will drive the strategic direction for data engineering, real-time analytics, AI-enabled solutions, and microservices platforms that power critical business capabilities 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:

The ideal candidate is a recognized technical leader with deep expertise in Data Engineering , Java/Spring Boot Microservices , and Generative AI , capable of influencing architecture decisions, mentoring senior engineers, and shaping long-term technology strategy.This role requires balancing innovation with operational excellence, ensuring platforms are secure, scalable, resilient, cost-efficient, and aligned with business outcomes.

7+ years of software engineering experience with significant leadership responsibilities.

7+ years designing and delivering large-scale data engineering solutions.

7+ years leading cloud-native architectures.

3+ years of hands-on Generative AI implementation experience.

Experience building mission-critical platforms supporting finance, treasury, risk, or regulatory functions.

Experience training, fine-tuning, and deploying LLMs in enterprise environments.

Experience implementing enterprise-wide AI governance and responsible AI frameworks.

Experience leading large modernization programs involving legacy-to-cloud migration.

Proven track record influencing CIO, CTO, and senior executive stakeholders.

Data Engineering Leadership

Own the strategic direction and modernization of enterprise data platforms.

Responsibilities

Design and evolve scalable data architectures including: - Batch processing

Streaming pipelines

Real-time event processing

Lakehouse architectures

Data Mesh and Domain-Oriented Data Products

Lead architectural decisions involving: - Apache Spark

Kafka

Iceberg / Delta Lake

Snowflake

Databricks

Flink

Cloud-native data platforms

Define standards for: - Data quality

Data lineage

Metadata management

Observability

Governance

Data Security and Compliance

Drive modernization initiatives from legacy data platforms toward scalable cloud-native architectures.

Software Engineering Leadership

Provide technical leadership across enterprise application platforms and distributed systems.

Responsibilities

Design and govern enterprise software architecture using: - Java

Spring Boot

REST APIs

Event-Driven Architectures

Kafka

Distributed Systems Patterns

Define standards for: - Secure coding

API design

CI/CD

Test automation

Observability

Documentation

Lead architecture reviews and ensure solutions meet: - Scalability targets

Availability requirements

Security standards

Performance SLAs

Operability objectives

Drive adoption of cloud-native engineering practices and modern software delivery models.

AI & Generative AI Leadership

Lead enterprise adoption of AI and GenAI technologies to transform business processes and engineering productivity.

Responsibilities

Architect and deliver enterprise-scale GenAI solutions leveraging: - Retrieval-Augmented Generation (RAG)

Agentic AI frameworks

Multi-Agent Orchestration

LLM-powered business applications

Design end-to-end RAG pipelines including: - Document ingestion

Chunking strategies

Embedding generation

Vector databases

Retrieval optimization

Context augmentation

Response orchestration

Define enterprise AI architecture and governance standards covering: - Responsible AI

Model observability

Security

Compliance

Evaluation frameworks

Lead implementation of role-based autonomous agent systems using frameworks such as: - LangChain

LangGraph

CrewAI

AutoGen

Google ADK

Partner with Data Science and ML teams to operationalize AI solutions at scale.

Cloud & Platform Engineering

Responsibilities

Lead cloud strategy and architecture across: - Azure

GCP

Design scalable platform solutions using: - Docker

Kubernetes

Infrastructure as Code

Cloud-native services

Optimize cloud reliability, scalability, performance, and operational cost.

Establish resiliency and disaster recovery standards for mission-critical platforms.

Strategic Influence

Responsibilities

Align engineering roadmaps with enterprise business and technology strategy.

Shape long-term architecture direction across data, AI, and application platforms.

Evaluate emerging technologies and industry trends including: - Generative AI

Agentic AI

Data Mesh

Real-Time Analytics

Autonomous Engineering Platforms

Influence senior leadership and stakeholders on strategic technology investments.

Evaluate build-versus-buy decisions, vendor solutions, and platform partnerships.

Cross-Functional Collaboration

Responsibilities

Partner with: - Product Management

Architecture

Data Science

Infrastructure Engineering

Security Engineering

Platform Engineering

Business Stakeholders

Drive alignment between business objectives and technical execution.

Enable access to trusted, reliable, and governed enterprise data assets.

Technical Skills

Data Engineering: - Spark, PySpark, Kafka, Flink, Snowflake, Databricks, Iceberg, Delta Lake

Data Lake/Lakehouse architectures

Real-Time Streaming Platforms

Data Governance and Lineage

Software Engineering - Java, Spring Boot, Microservices, REST APIs

Event-Driven Architectures

Distributed Systems

AI / GenAI - understanding of LLMs

RAG Architectures

Vector Databases

Prompt Engineering

Agentic AI

Multi-Agent Orchestration

Experience with one or more: - LangChain

LangGraph

Google ADK

Programming - Python, Java

Cloud & DevOps - Azure / GCP

Docker

Kubernetes

CI/CD platforms

Infrastructure as Code

Job Expectations:

Strong risk‑aware mindset aligned with Wells Fargo’s culture and values

Ability to explain complex technical and data concepts to senior business and risk leaders

Proven ability to influence and lead in a large, matrixed organization

High standards for engineering discipline, documentation, and operational stability

Effective leadership during ambiguity, regulatory focus, or high‑visibility initiatives

Be Humble: You're smart yet always interested in learning from others.

Work Transparently: You always deal in an honest, direct, and transparent way.

Take Ownership: You embrace responsibility and find joy in having the answers.

Learn More: You regularly self-educate and improve your skill set.

Show Gratitude: You show appreciation and respect to those you work with.

Posting End Date:

29 Oct 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.

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