Gen AI Lead Consultant

client solicitations, clearly articulating technical and business value.

Required Qualifications:

• Bachelor's degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education.
• Candidate must live within commuting distance of Charlotte**, NC,** or be willing to relocate. This position may require travel in the US.
• At least 7 years of experience in Information Technology
• All applicants authorized to work in the United States are encouraged to apply.
• At least 4 years of experience in Information Technology in Data Science, Analytics and Machine Learning.
• Proven expertise in generative AI technologies (e.g., GPT, BERT, Stable Diffusion) and their application in financial services.
• At least 4 years of pre-sales experience, including responding to RFPs/RFIs, proactive client engagement, delivering client demos, and preparing presentations.
• Proficiency in Python, R, or Scala and ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn, Hugging Face, LangChain).
• Expertise in cloud platforms (AWS, Azure, GCP) and MLOps tools (e.g., Kubeflow, MLflow, SageMaker).
• Experience with big data technologies (e.g., Hadoop, Spark, Snowflake) and databases (SQL, NoSQL).
• Knowledge of financial modeling, time-series analysis, and risk analytics.
• Strong experience in drafting and responding to RFPs, RFIs, and other proposal documents with a focus on technical and business alignment.
• Deep knowledge of financial services domains, including risk management, fraud detection, customer analytics, and regulatory compliance.
• Ability to communicate complex technical concepts to non-technical stakeholders effectively.

Preferred Qualifications

• Master's or Ph.D. in Computer Science, Data Science, Statistics, Mathematics, or a related field.
• At least 10 years of experience in data science and machine learning, with at least 5 years in the financial services industry.
• Demonstrated success in crafting high-quality slide decks and pitch presentations for C-suite audiences using PowerPoint or similar tools.
• Experience working with financial services clients in banking, insurance, wealth management, or fintech.
• Familiarity with financial regulations (e.g., AML, KYC, IFRS 9, Basel III).
• Certifications in cloud platforms (e.g., AWS Certified Machine Learning, Azure AI Engineer) or data science (e.g., TensorFlow Developer Certificate).
• Published research, patents, or contributions to open-source AI/ML projects
• Proven ability to deliver engaging client demos and POCs that demonstrate solution feasibility and value.
• Exceptional presentation skills, with advanced proficiency in creating visually compelling PowerPoint decks and executive-level materials.
• Ability to proactively engage clients, identify opportunities, and build strategic relationships.

The job may entail extensive travel. The job may also entail sitting as well as working at a computer for extended periods of time. Candidates should be able to effectively communicate by telephone, email, and face to face.