Principal Engineer - Gen AI and Data Engineering
- Wells Fargo
- 7 - 12 years
- Hyderabad
- 6 days ago
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Job Description
About this role:
Wells Fargo is seeking a highly motivated Principal Engineer to design, architect, and lead Generative AI and Data Engineering initiatives within the HR Information Technology organization. This role requires a handson technologist who can anchor critical initiatives to drive operational excellence and enhance employee and customer experience.
The Principal Engineer will provide technical leadership across the design, development, and operationalization of Generative AI solutions, while shaping the enterprise HR data strategy. This role will oversee the architecture and delivery of scalable, secure, and resilient data engineering solutions across the HR data ecosystem, enabling advanced analytics, AIdriven insights, and nextgeneration HR capabilities. The Principal Engineer will also act as a trusted advisor to senior leadership, influencing architecture decisions, solution design, and implementation strategies to ensure alignment with business objectives, enterprise standards, and longterm technology strategy.
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:
- 7+ years of progressive engineering experience with sustained handson expertise in architecture, system design, and endtoend solution development.
- 3+ years of handson experience building AI/GenAI solutions, including LLM integration, prompt engineering, RAG patterns, model orchestration, AI pipelines, and responsible AI practices (governance, privacy, security, guardrails)
- Demonstrated technical authority across application, data, and AI domains, influencing architecture decisions and engineering standards at enterprise scale; ability to define reference architectures and guide teams through implementation.
- Proven experience leading the architecture and delivery of Agentic AI platforms, leveraging LLMs, RAG pipelines, vector databases, orchestration frameworks, and agenttoagent communication to enable autonomous/semiautonomous HR workflows, integrated with enterprise platforms such as Workday and ServiceNow.
- Experience designing productiongrade AI architectures that support multistep reasoning, tool invocation, workflow orchestration, and humanintheloop controls, with strong focus on reliability, observability, and performance.
- Proven experience modernizing data platforms, including migration from legacy ecosystems to cloudnative, lakehousebased architectures.
- Handson experience building data platforms on GCP, using services such as BigQuery, Dataflow/Apache Beam, Pub/Sub, Dataproc/Spark, Cloud Storage, Cloud Composer/Airflow, Dataplex, and Data Catalog.
- Handson experience delivering modern applications using microservices architecture, including API design, integration patterns, and secure service-to-service communication.
- Strong background in cloudnative engineering (containerization, orchestration, CI/CD, DevSecOps) and experience operating systems at enterprise scale.
- Experience defining longterm technology strategy and roadmaps, aligning architecture decisions and engineering execution to measurable business outcomes (productivity, cycle time reduction, risk/control improvements
Job Expectations:
- Enterprise Technical Stewardship
- Act as a Principal Engineer and strategic advisor to senior leadership, shaping technology decisions that impact multiple lines of business and the broader enterprise.
- Define and evolve enterprisescale architectures for AI/GenAI solutions and Data modernization ensuring alignment with security, risk, and regulatory requirements.
- HandsOn Leadership
- Remain deeply handsondesigning, reviewing, and occasionally coding critical components to set a high engineering bar.
- Lead by example in applying engineering rigor, automation, testing, performance optimization, and secure coding practices.
- AI / GenAI Enablement
- Drive the strategy, adoption, and governance of AI and GenAI capabilities across HR initiatives.
- Partner with product, data, risk, and security teams to ensure responsible, explainable, and scalable AI solutions.
- Identify highvalue use cases and guide teams from proofofconcept to production at scale.
- Influence Thought Leadership
- Serve as a visible technical spokesperson internally and externally, presenting ideas, architectures, and innovation narratives with clarity and conviction.
- Mentor senior engineers and architects, raising the overall technical maturity of the organization.
- Foster a culture of engineering excellence, curiosity, and continuous learning.
- OutsideIn Innovation
- Continuously scan the external ecosystem to bring new ideas, technologies, and patterns into the enterprise in a pragmatic, valuedriven manner.
- Challenge legacy thinking and advocate for simplification, modernization, and platform thinking.
- Balance innovation with operational stability, risk management, and longterm sustainability.
- OutcomeDriven Execution
- Measure success through business impact, not just technical deliveryimproved timetomarket, developer productivity, system resilience, and customer outcomes.
- Partner closely with stakeholders to ensure technology investments deliver durable, enterprisewide value.
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
Keyskills: ai spark gcp data catalog use cases airflow microservices architecture bigquery llm data engineering microservices
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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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