Senior Artificial Intelligence Consultant- AI
Wells Fargo · Hyderabad · onsite · Posted 24d ago
Undisclosed4–9 yrsfulltimeSourced from
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About this role
Job Summary
Wells Fargo is seeking a Senior Artificial Intelligence 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
- 4+ years of Artificial Intelligence experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
- 3+ years of Artificial Intelligence Solutions, data science, advanced analytics, or related consulting experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
- Experience delivering assigned components of moderately complex projects, working within defined objectives, and coordinating effectively with cross-functional team members
- Hands-on experience applying Generative AI or large language models to data, analytics, modeling, or decision science workflows
- Proficiency in Python and SQL, including data processing, API integration, testing, debugging, and workflow automation
- Experience with at least one of the following: prompt engineering, retrieval-augmented generation, agentic workflows, semantic retrieval, structured outputs, or LLM evaluation methods
- Experience working with analytical data platforms and frameworks such as Pandas, Spark, Databricks, cloud-based AI/ML services, or equivalent technologies
- Experience translating defined business and analytical problems into technical requirements, prototypes, test results, and implementation recommendations
- Strong communication and collaboration skills, including requirements clarification, technical documentation, working-session participation, and the ability to explain technical concepts to immediate team members and business partners
- Foundational understanding of responsible AI, model and data governance, information security, privacy, quality, testing, and human oversight considerations relevant to enterprise AI solutions
- Generative AI implementation for data, analytics, and decision science use cases
- Python, SQL, data processing, testing, and analytics workflow automation
- Hands-on experience in one or more of the following: prompt engineering, RAG, agentic workflows, semantic retrieval, structured outputs, or LLM evaluation
- Technical collaboration, requirements clarification, and clear communication with project teams and business partners
- Prototyping, component-level solution design, and use of established implementation patterns
- Foundational awareness of responsible AI, data governance, quality assurance, security, and risk-aware execution
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Skills
AutomationCampaignCopilot Studioai assistantsapiscloud aiAutomatingcopilotAnalyticsCampaign AnalyticscloudAdvanced AnalyticscomplianceCustomer RelationshipsAi SolutionsAPI IntegrationArtificial Intelligence
About Wells Fargo
Wells Fargo
Financial Services
20k+
employees
1852
174 years old
Bengaluru/Bangalore, Karnataka
India
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Wells Fargo works to create positive social impact in the communities it serves by supporting housing affordability, small business growth, financial health, and a low-carbon economy.
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