Senior Artificial Intelligence Solutions Consultant
Wells Fargo is hiring a Senior Artificial Intelligence Solutions Consultant in Bengaluru, India. Level rates it ; you can apply on Wells Fargo.
Level's read on this job
- Works on AI ●●●○ is how Level rates this AI consultant role: the daily work is on AI products, without building the model.
- Tools and skills the posting cites include Copilot, LangChain and LangGraph.
- Level classifies it as a senior role.
- Level lists 1,500+ other open roles at Wells Fargo.
- The role was posted in the last few days.
AI in this role
Lead AI initiatives, design enterprise prompts, configure AI agents, and build RAG solutions as a senior AI solutions consultant.
About this role:
Wells Fargo is seeking a Senior Artificial Intelligence Solutions Consultant
In this role, you will:
Lead cross functional teams to identify, strategize, and execute Artificial Intelligence initiatives within a line of business
Understand the strategy to recommend solutions on solving business challenges
Analyze and review cases obtaining the required resources to ensure the solution delivers the intended benefits
Leverage knowledge to evaluate technological readiness, data availability, and resources to execute the proposed solutions
Influence without authority to drive the implementation of Artificial Intelligence initiatives and programs while serving multiple stakeholders
Decision key issues which may arise during development or implementation
Collaborate and consult with peers, colleagues and managers to resolve and achieve goals
Required Qualifications:
4+ years of Artificial Intelligence experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
Experience in Artificial Intelligence, or equivalent demonstrated through one or a combination of the following: work experience, training, education
Desired Qualification:
The ideal candidate is a business-focused AI practitioner who can bridge the gap between business needs and AI capabilities. This person is equally comfortable working with stakeholders to define use cases, designing effective prompts, evaluating AI responses, and rapidly prototyping solutions using Copilot and low-code platforms.
Success in this role requires curiosity, experimentation, strong communication skills, and a passion for helping users unlock value from Generative AI technologies.
Experience with Microsoft Copilot Studio.
Experience configuring AI agents, actions, connectors, and enterprise knowledge sources.
Experience building Retrieval-Augmented Generation (RAG) solutions.
Understanding of semantic search, vector search, and embeddings.
Experience with Power Platform (Power Automate, Power Apps).
Experience with Agentic AI concepts and multi-agent architectures.
Familiarity with LangChain, LangGraph, Semantic Kernel, or similar frameworks.
Knowledge of enterprise content management, knowledge bases, and document retrieval solutions.
Experience working within highly regulated industries such as financial services.
Job Expectation:
Provide elastic AI delivery capacity focused on:
Prompt engineering
Microsoft 365 Copilot solutions
Copilot Studio solutions
AI-assisted workflow automation
Business experimentation and rapid prototyping
AI response evaluation and quality assurance
AI enablement and user adoption
As the AI program matures, responsibilities may expand into:
Advanced AI solution architecture
Agentic AI solutions
Retrieval-Augmented Generation (RAG)
Enterprise AI platforms
AI governance and operating model support
End-to-end AI product delivery
Posting End Date:
22 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.
How we rate this
Senior Artificial Intelligence Solutions Consultant at Wells Fargo rates 75 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in AI consultant jobs at this level
Pay
- Typical AI consultant job
- $154k
This posting doesn't list pay. Use the typical AI consultant figure when pay comes up. See AI consultant jobs
Questions you could be asked
- How do you structure and test a prompt to get consistent output from a language model?
- How would you design a retrieval step so the model answers from real data instead of guessing?
- How do you decide when an AI agent can act on its own versus asking for approval first?
- Tell me about a project where artificial intelligence was part of your work. What did you do?
- Tell me about a project where vector search was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: Prompt engineering, RAG, AI agents, Artificial Intelligence, and Vector Search. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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