Lead Software Engineer

109562-CA-1755 Grant, Concord, United States

Wells Fargo

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About this role:

Wells Fargo is seeking a Lead Software Engineer in the Digital Technology and Innovation group which supports evolving digital platforms and enhances integration of the innovation pipeline into our customer-facing capabilities.


In this role, you will:

  • Lead complex technology initiatives including those that are companywide with broad impact
  • Act as a key participant in developing standards and companywide best practices for engineering complex and large-scale technology solutions for technology engineering disciplines
  • Design, code, test, debug, and document for projects and programs
  • Make decisions in developing standard and companywide best practices for engineering and technology solutions requiring understanding of industry best practices and new technologies, influencing and leading technology team to meet deliverables and drive new initiatives
  • Collaborate and consult with key technical experts, senior technology team, and external industry groups to resolve complex technical issues and achieve goals
  • Participate in developing Generative AI & Traditional AI Platform Capabilities on enterprise on-prem and cloud platforms.
  • Responsible for AI model delivery to on-prem infrastructure and cloud platforms (GCP-Vertex AI, Azure ML)
  • Collaborating with Data scientist to optimize the scoring pipeline.
  • Building automation capabilities to deploy ML Models and LLM Models on the enterprise on-prem platform and cloud platform.
  • Build and Deploy capabilities for automating model scoring/Inferencing of ML models and LLMs.
  • Build and Deploy capabilities for data pipeline deployment standardization and model consumption by multiple LOBs.
  • Collaborate with product owners, DevOps team, data scientists, support teams to define and drive end to end model scoring pipelines.
  • Participate in day-to-day standups for platform capability build.


Required Qualifications:

  • 5+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education

  • 5+ years of Python experience

  • 5+ years of big data experience needed (Big Query, Hadoop)

  • 3 years of experience in AIML area (MLOps)

  • 2+ years of experience in developing APIs using Python/FastAPI.


Desired Qualifications:

  • 1+year of experience in LLM, Generative  AI (developing

    capabilities or dev/ops)

  • 1+year of experience in Vector Database.

  • Experience in developing of API on GCP/Azure/API Gateways

Job Expectations:

  • Position will require onsite presence at one of the required locations listed below in a hybrid work schedule
  • This position in not eligible for Visa sponsorship
  • Relocation assistance is not available for this position

Locations:

  • 1775 Grant St., Concord, CA
  • 300 S. Brevard St., Charlotte, NC

Pay Range:

  • Charlotte, NC $111,000 - 197,000
  • Concord, CA $133,000 - 237,000

Pay Range
 

Reflected is the base pay range offered for this position. Pay may vary depending on factors including but not limited to achievements, skills, experience, or work location. The range listed is just one component of the compensation package offered to candidates.

$111,100.00 - $237,100.00

Benefits

Wells Fargo provides eligible employees with a comprehensive set of benefits, many of which are listed below. Visit Benefits - Wells Fargo Jobs for an overview of the following benefit plans and programs offered to employees.

  • 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

Posting End Date:

13 Feb 2025

*Job posting may come down early due to volume of applicants.

We Value Diversity

At Wells Fargo, we believe in diversity, equity and inclusion in the workplace; accordingly, we welcome applications for employment from all qualified candidates, regardless of race, color, gender, national origin, religion, age, sexual orientation, gender identity, gender expression, genetic information, individuals with disabilities, pregnancy, marital status, status as a protected veteran or any other status protected by applicable law.

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 US: 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.

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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Tags: APIs Azure Big Data BigQuery DevOps Engineering FastAPI GCP Generative AI Hadoop LLMs Machine Learning ML models MLOps Pipelines Python Vertex AI

Perks/benefits: Equity / stock options Health care Insurance Medical leave Parental leave Relocation support

Region: North America
Country: United States

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