What are the responsibilities and job description for the Gen AI Engineer (contract) position at Wells Fargo?
Title: Gen AI Engineer
Location: 11625 N Community House Rd Charlotte, NC
Duration: 6 months
Work Engagement: W2
Work Schedule: 3 days in office/2 days remote
Benefits on offer for this contract position: Health Insurance, Life insurance, 401K and Voluntary Benefits
Summary:
In this contingent resource assignment, you may: Consult on complex initiatives with broad impact and large-scale planning for Business Execution. Review and analyze complex multi-faceted, larger scale, or longer-term Business Execution challenges that require in-depth evaluation of multiple factors including intangibles or unprecedented factors. Contribute to the resolution of complex and multi-faceted situations requiring solid understanding of the function, policies, procedures, and compliance requirements that meet deliverables. Strategically collaborate and consult with client personnel.
Responsibilities:
Location: 11625 N Community House Rd Charlotte, NC
Duration: 6 months
Work Engagement: W2
Work Schedule: 3 days in office/2 days remote
Benefits on offer for this contract position: Health Insurance, Life insurance, 401K and Voluntary Benefits
Summary:
In this contingent resource assignment, you may: Consult on complex initiatives with broad impact and large-scale planning for Business Execution. Review and analyze complex multi-faceted, larger scale, or longer-term Business Execution challenges that require in-depth evaluation of multiple factors including intangibles or unprecedented factors. Contribute to the resolution of complex and multi-faceted situations requiring solid understanding of the function, policies, procedures, and compliance requirements that meet deliverables. Strategically collaborate and consult with client personnel.
Responsibilities:
- Lead complex initiatives including creation, implementation, documentation, validation, articulation, and defense of highly advanced AI and Generative AI solutions.
- Deliver solutions for short and long-term objectives and provide analytical support for a wide array of business initiatives.
- Utilize neural network architectures, including transformer-based models such as GPT, BERT, and others for driving operational efficiencies.
- Familiarity with using diffusion models or multimodal AI depending on the use cases.
- Hands-on experience with fine-tuning, training, and deploying large language models (LLMs) in on-premises, cloud, or hybrid environments.
- Strong hold on tokenization, embeddings, and model evaluation metrics.
- Present results of analysis, solution recommendations and AI-driven strategies for variety of business initiatives.
- Establish a consistent and collaborative framework with the business and act as a primary point of contact in delivering the solutions.
- Review and validate models and help improve the performance of the model under the preview of regulatory requirements.
- Work closely with technology teams to deploy the models to production.
- Prepare detailed documentations for projects for both internal and external use that comply with regulatory and internal audit requirements.
- Applicants must be authorized to work for ANY employer in the U.S. This position is not eligible for visa sponsorship.
- Expertise in Python and key/major frameworks like TensorFlow, PyTorch, and HuggingFace.
- Proficiency in LangChain and LangGraph in building LLM powered applications using LangChain for integrating external data and tools, and LangGraph for designing stateful, workflows (leveraging GraphDB) to automate complex processes
- Experience in using ML Ops tools (e.g., MLflow, Kubeflow) for scaling and deploying models in production.
- Experience working with on Google Cloud Platform and expertise in using the GCP services.
- Expertise in Scala for processing large-scale data sets for use cases.
- Proficiency in Java, JavaScript (Node.js) for back-end integrations and for building interactive AI-based web applications or APIs.
- Experience with SQL and NoSQL languages for managing structured, unstructured, and semi-structured data for AI and Generative AI applications.
- Critical thinking and strong problem-solving skills.
- Ability to learn the latest technologies and keep up with the trends in the Gen-AI space and apply to the business problems quickly.
- Ability to multi-task and prioritize between projects and able to work independently and as part of a team.
- Required to work individually or as part of a team on multiple AI and Generative AI projects and work closely with business partners across the organization.
- Provide analytical support for developing, evaluating, implementing, monitoring, and executing models across business verticals using emerging technologies.
- Expert knowledge on working on large datasets using SQL or NoSQL and present conclusions to key stakeholders.
- Experience in building quick prototypes to check feasibility and value to business.
- Expert in developing and maintaining modular codebase for reusability.
- Strong understanding of Agile methodologies and enterprise software development.
- Excellent communication and stakeholder management skills.