Job Details
RESPONSIBILITIES:
Kforces client located in Chicago IL is seeking an experienced Project Manager to lead their Generative AI Center of Excellence (COE) projects. This role involves overseeing the intake and delivery of AI solutions managing complex data and aligning engineering efforts with business outcomes. This is a remote position with a preference for candidates in Central or Eastern time zones.
Generative AI Use Case Intake and Solution Delivery:
* Manage the endtoend intake and assessment of Generative AI use cases using standardized templates and frameworks
* Oversee project timelines budget and risk management strategies to ensure ontime highquality delivery
Lead RAG and Model FineTuning Projects:
* Manage the implementation of RetrievalAugmented Generation (RAG) solutions and the finetuning of pretrained models (e.g. GPT BERT)
* Collaborate with data scientists and engineers to build test and deploy solutions using NLP large language models (LLMs) and APIs
Performance Monitoring and Optimization:
* Define and track project KPIs (e.g. precision recall latency) and business metrics (e.g. ROI customer satisfaction)
* Develop continuous feedback loops to monitor AI model drift bias and performance retraining models as needed
Stakeholder Management and Communication:
* Bridge communication between business stakeholders and technical teams to align AI project goals with business priorities
* Provide consultative guidance on data architecture AI models and application development in collaboration with engineering teams
Risk Mitigation:
* Identify common AI project risks (e.g. data quality model bias) and implement mitigation strategies using Agile practices
* Maintain transparency with stakeholders through effective reporting dashboards and communication
REQUIREMENTS:
* 5 years of experience managing engineering or software development projects preferably in Agile environments
* Handson experience with Generative AI technologies including NLP LLMs and machine learning models
* Conceptual understanding of RAG architecture API development and experience with tools like LangChain Hugging Face or vector databases
* Experience managing AI solutions within a business context including the ability to assess ROI/NPV and align with business KPIs
* Strong understanding of risk management in AI projects including model drift bias mitigation and performance monitoring
* Technical acumen with the ability to engage in discussions about data pipelines cloud platforms (e.g. AWS Azure Google Cloud Platform) and software development workflows
* Excellent communication and stakeholder management skills with the ability to present complex topics to nontechnical stakeholders
* Strong leadership skills with experience managing crossfunctional teams including business analysts data scientists software engineers and consultants
* Strong background in Agile project management experience with AI/ML technologies and the ability to work collaboratively with technical and business teams
Preferred Skills:
* Certifications in Agile Scrum or AIrelated fields are a plus
* Experience working with RAG solutions finetuning models and data integration tools
* Familiarity with APIs conversational AI platforms and vector databases
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