About this role:
The COO Technology group provides technology services for the Chief Operating Office. This includes operations, control executives, strategic execution, business continuity and resiliency, data solutions and services, regulatory relations, customer experience, enterprise shared services, supply chain management, and the corporate properties group. COO Technology provides technology solutions and manages application portfolios for these groups to support modernization and optimization.
Within COO Technology we are seeking a highly skilled and motivated Lead Specialty Software Engineer to develop and implement cutting-edge Generative AI solutions. This role will focus on building Agentic AI Automation to build intelligent, innovative, and impactful applications. The ideal candidate will possess a strong background in AI/ML, a deep understanding of generative models, experience in fine tuning LLM models, and proven experience in leading technical projects. You will be responsible for guiding a team of engineers, driving technical direction, and ensuring the successful delivery of high-quality AI solutions.
In this role, you will:
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.
$159,000.00 - $305,000.00
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.
14 Nov 2025
* 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.
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.
The COO Technology group provides technology services for the Chief Operating Office. This includes operations, control executives, strategic execution, business continuity and resiliency, data solutions and services, regulatory relations, customer experience, enterprise shared services, supply chain management, and the corporate properties group. COO Technology provides technology solutions and manages application portfolios for these groups to support modernization and optimization.
Within COO Technology we are seeking a highly skilled and motivated Lead Specialty Software Engineer to develop and implement cutting-edge Generative AI solutions. This role will focus on building Agentic AI Automation to build intelligent, innovative, and impactful applications. The ideal candidate will possess a strong background in AI/ML, a deep understanding of generative models, experience in fine tuning LLM models, and proven experience in leading technical projects. You will be responsible for guiding a team of engineers, driving technical direction, and ensuring the successful delivery of high-quality AI solutions.
In this role, you will:
- Design and build state-of-art Agentic AI systems that can autonomously perform complex tasks, learn from experience, and adapt to changing environments
- Train, fine tune, and evaluate the performance of the LLM-based models to enhance the agentic AI systems
- Develop and maintain robust testing and validation procedures to ensure the quality, reliability, and security of AI solutions
- Architect and implement context engineering services that effectively retrieve, process, structure, and integrate relevant information from diverse data sources to enhance the performance of generative models
- Lead team to ensure compliance and risk management requirements for supported area are met and work with other stakeholders to implement key risk initiatives
- Mentor less experienced software engineers
- Collaborate and influence all levels of professionals including managers
- Partner with production support and platform engineering teams effectively
- 5+ years of Specialty Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
- 5+ years of experience in Agile AI/ML system development
- 2+ years of experience in context engineering and LLM technologies, including crafting and optimizing information retrieval from large knowledge base
- 2+ years of experience using or developing automated LLM or Agentic AI evaluation frameworks on a large scale
- 1+ years experience with Agentic AI Automation using tools and frameworks such as Lang Graph, Google ADK or similar
- Bachelor's or Masters degree in Computer Science, Information Systems, or related field
- Proficiency in programming languages such as Python, with experience in relevant libraries and frameworks (e.g., TensorFlow, PyTorch, Transformers)
- Expertise inbuilding data recipes and training pipelines for SFT or RL model training for SLMs or LLMs
- Experience in fine tuning SLM or LLM models at scale
- Experience in evaluation and scoring LLM Chain-of-Thought and agent trajectories
- Experience in leveraging MLOps and LLMOps frameworks for observability, evaluation, and human-in-the-look interactions
- Experience with GCP cloud computing platform
- Experience with knowledge graphs and semantic search
- Experience in AI risk assessment, AI safety, and ethical considerations
- Experience deploying AI models using containerization technologies (e.g., Docker, Kubernetes)
- Excellent communication and presentation skills across technical and non-technical audiences
- Knowledge offraud management tools and techniques
- Proven ability to influence and build trust across organizational boundaries
- This position is not eligible for work visa sponsorship.
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.
$159,000.00 - $305,000.00
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
14 Nov 2025
* 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.
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.
Top Skills
Docker
GCP
Google Adk
Kubernetes
Lang Graph
Python
PyTorch
TensorFlow
Transformers
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