Lead Business Execution Consultant AI & Data Engineering Specialist

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Bengaluru, Bengaluru Urban, Karnataka, IND
Hybrid
Fintech • Financial Services
Wells Fargo: Tech-powered. Innovation-led. We're transforming financial services.
The Role
Job Description
About this role:
Wells Fargo is seeking a Lead Business Execution Consultant
In this role, you will:
  • Lead cross functional teams to strategize, plan, and execute a variety of programs, services and initiatives
  • Drive accountability for assigned initiatives, limit risk exposure, and create efficiencies as appropriate
  • Review strategic approaches and effectiveness of support function and business performance
  • Perform assessments through fact finding and data requiring creative approaches to solving complex issues, and develop appropriate solutions or recommendations
  • Make decisions in highly complex and multifaceted situations requiring solid understanding of business group's functional area or products, facilitate decision making and issue resolution, and support implementation of developed solutions and plans
  • Collaborate and consult with members of the Business Execution team and team leaders to drive strategic initiatives
  • Influence, guide and lead less experienced Strategy and Execution staff within the group
Required Qualifications:
  • 5+ years of Business Execution, Implementation, or Strategic Planning experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
Desired Qualifications:
  • Bachelor's or Master's degree in Computer Science, Data Engineering, AI/ML, or related field.
  • Hands on experience in AI/ML engineering, with hands-on model evaluation and deployment.
  • Strong programming skills in Python and familiarity with frameworks like TensorFlow, PyTorch, Hugging Face.
  • Experience with cloud platforms (AWS, GCP, Azure) and data pipeline tools (Spark, Kafka).
  • Proficiency in MLOps tools (MLflow, Kubeflow) and containerization (Docker, Kubernetes).
Preferred Experience:
  • Hands-on experience with Generative AI and LLM fine-tuning.
  • Knowledge of AI governance and ethical frameworks.
  • Familiarity with vector databases (e.g., Pinecone, Weaviate) and RAG pipelines.
  • Certifications in AI/ML engineering or cloud AI services.
Job Expectation:
  • Model Evaluation & Benchmarking:
    • Assess AI models (LLMs, vision models, predictive ML) for accuracy, fairness, scalability, and cost-effectiveness.
    • Design evaluation frameworks and metrics for performance comparison across different architectures.
  • Experimentation & Prototyping:
    • Rapidly prototype new AI models and techniques, including fine-tuning and hyperparameter optimization.
    • Implement Retrieval-Augmented Generation (RAG) and vector-based search for LLMs where applicable.
  • Data Engineering & Pipeline Development:
    • Build and maintain scalable ETL pipelines to feed high-quality data into AI models.
    • Ensure data integrity, preprocessing, and feature engineering for optimal model performance.
  • Deployment & MLOps:
    • Deploy models into production using containerization (Docker) and orchestration tools.
    • Utilize MLOps frameworks (e.g., MLflow, Kubeflow) for lifecycle management and monitoring.
  • Performance Monitoring & Continuous Improvement:
    • Implement drift detection, bias monitoring, and automated retraining workflows.
    • Stay current with emerging AI technologies and integrate best practices into evaluation processes.
  • Collaboration & Documentation:
    • Work with data scientists, software engineers, and product teams to align AI solutions with business objectives.
    • Maintain comprehensive documentation of evaluation methodologies, findings, and deployment strategies.
Required Skills:
  • Deep understanding of AI model architectures, including LLMs, transformers, and classical ML algorithms.
  • Ability to compare models across multiple dimensions (accuracy, latency, cost, interpretability).
  • Expertise in data engineering for AI workflows, including ETL and feature engineering.
  • Strong analytical and problem-solving skills with experience in statistical evaluation metrics.
  • Excellent communication skills for cross-functional collaboration.
Preferred Experience:
  • Hands-on experience with Generative AI and LLM fine-tuning.
  • Knowledge of AI governance and ethical frameworks.
  • Familiarity with vector databases (e.g., Pinecone, Weaviate) and RAG pipelines.
  • Certifications in AI/ML engineering or cloud AI services.
Posting End Date:
12 Mar 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.

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Fintech • Financial Services
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205,000 Employees
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Wells Fargo & Company (NYSE: WFC) is a leading financial services company that has approximately $2.1 trillion in assets. We provide a diversified set of banking, investment and mortgage products and services, as well as consumer and commercial finance, through our four reportable operating segments: Consumer Banking and Lending, Commercial Banking, Corporate and Investment Banking, and Wealth & Investment Management. Wells Fargo ranked No. 33 on Fortune’s 2025 rankings of America’s largest corporations. Our technology professionals drive innovation, information security, and big data analytics while maintaining a network that handles more than 12 billion customer interactions a year. Join us! Are you looking for more? Find it here. At Wells Fargo, we're more than a financial services leader – we’re a global trailblazer committed to driving innovation, empowering communities, and helping our customers succeed. We believe that a meaningful career is much more than just a job – it’s about finding all of the elements to help you thrive, in one place. Living the Well Life means you’re supported in life, not just work. It means having robust benefits, competitive compensation, and programs designed to help you find work-life balance and well-being. You’ll be rewarded for investing in your community, celebrated for being your authentic self, and empowered to grow. And we’re recognized for it – Wells Fargo once again ranked in the top three – making us the #1 financial services employer – on the 2025 LinkedIn Top Companies list of best workplaces “to grow your career” in the U.S. 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. © 2026 Wells Fargo Bank, N.A. All rights reserved. Member FDIC.

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We're known for our “Well Life” approach to supporting employees’ career aspirations, work-life balance, and mental and physical health. We ranked in the top 3 on the 2025 LinkedIn Top Companies list – and #1 among financial services companies – as the best workplace “to grow your career” in the U.S.

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