Principal Engineer - Gen AI
Wells Fargo
Principal Engineer - Gen AI
Job Description
About this role:Wells Fargo is seeking a Principal Engineer - Gen AI.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 groupsLead 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 thinkingTranslate 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 solutionsProvide vision, direction and expertise to leadership on implementing innovative and significant business solutionsMaintain knowledge of industry best practices and new technologies and recommends innovations that enhance operations or provide a competitive advantage to the organizationStrategically engage with all levels of professionals and managers across the enterprise and serve as an expert advisor to leadershipRequired Qualifications:7+ years of Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, educationDesired Qualifications:Deep end-to-end GenAI stack expertise, including LLMs, RAG, vector databases, prompt engineering, fine-tuning, LLMOps, observability, and production deployment.Strong expertise in Agentic AI platforms and multi-agent architectures, including planning, reasoning, memory management, tool orchestration, workflow automation, and autonomous execution frameworks.Demonstrated leadership in AI evaluations, benchmarking, and model quality assurance, with experience in red teaming, safety testing, performance measurement, and continuous evaluation frameworks.Expert knowledge of AI guardrails, Responsible AI, and GenAI governance, covering model lifecycle management, compliance, auditability, policy enforcement, risk controls, and enterprise governance frameworks.Deep understanding of GenAI cybersecurity risks and mitigations, including prompt injection, jailbreaks, data leakage, model abuse, supply chain risks, OWASP LLM Top 10, MITRE ATLAS, and AI security best practices.Posting End Date: 29 Nov 2026*Job posting may come down early due to volume of applicants.We Value Equal OpportunityWells 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 DisabilitiesTo 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.
Locations
- India, Bengaluru
Skills Required
- Agentic AI platformsintermediate
- red teamingintermediate
- AI guardrailsintermediate
Required Qualifications
- 7+ years of Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education (experience, 7 years)
- 7+ years of Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education (experience, 7 years)
- Deep end-to-end GenAI stack expertise, including LLMs, RAG, vector databases, prompt engineering, fine-tuning, LLMOps, observability, and production deployment.Strong expertise in Agentic AI platforms and multi-agent architectures, including planning, reasoning, memory management, tool orchestration, workflow automation, and autonomous execution frameworks. (experience)
- Demonstrated leadership in AI evaluations, benchmarking, and model quality assurance, with experience in red teaming, safety testing, performance measurement, and continuous evaluation frameworks. (experience)
- Expert knowledge of AI guardrails, Responsible AI, and GenAI governance, covering model lifecycle management, compliance, auditability, policy enforcement, risk controls, and enterprise governance frameworks. (experience)
- Deep understanding of GenAI cybersecurity risks and mitigations, including prompt injection, jailbreaks, data leakage, model abuse, supply chain risks, OWASP LLM Top 10, MITRE ATLAS, and AI security best practices. (experience)
- Deep end-to-end GenAI stack expertise, including LLMs, RAG, vector databases, prompt engineering, fine-tuning, LLMOps, observability, and production deployment. (experience)
- Strong expertise in Agentic AI platforms and multi-agent architectures, including planning, reasoning, memory management, tool orchestration, workflow automation, and autonomous execution frameworks. (experience)
- Demonstrated leadership in AI evaluations, benchmarking, and model quality assurance, with experience in red teaming, safety testing, performance measurement, and continuous evaluation frameworks. (experience)
- Expert knowledge of AI guardrails, Responsible AI, and GenAI governance, covering model lifecycle management, compliance, auditability, policy enforcement, risk controls, and enterprise governance frameworks. (experience)
- Deep understanding of GenAI cybersecurity risks and mitigations, including prompt injection, jailbreaks, data leakage, model abuse, supply chain risks, OWASP LLM Top 10, MITRE ATLAS, and AI security best practices. (experience)
- a. Third-Party recordings are prohibited unless authorized by Wells Fargo. (experience)
- b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process. (experience)
Responsibilities
- 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
- 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
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