Generative AI Engineer

Join a forward-thinking team at Bank of America as a Generative AI Engineer, where you’ll design, develop, and deploy state-of-the-art GenAI solutions using on-premises infrastructure. Collaborate with cross-functional experts to innovate in areas like chatbots, data extraction, fraud detection, and classification models. This hybrid role offers the perfect mix of technical challenge and career growth, supporting both GenAI and data engineering initiatives in a dynamic, supportive environment., Architect, build, and deploy GenAI solutions using on-prem Large Language Models (LLMs) and infrastructure

• Create advanced chatbots, prompt engineering solutions, and natural language generation tools
• Develop and optimize data extraction and classification models for real-world applications such as fraud detection and prevention
• Monitor, fine-tune, and support models in live production environments to ensure high performance
• Analyze large datasets leveraging Hadoop and SQL for actionable insights
• Partner closely with data engineering and cross-functional teams to deliver end-to-end AI/ML solutions
• Lead initiatives in model deployment, performance tracking, and iterative optimization

4+ years in AI/ML, Python, and data engineering roles

• 2+ years of hands-on production experience with GenAI, including model deployment, monitoring, and tuning
• Proficiency with Python, LangChain, LangGraph, and Streamlit
• Deep expertise in data science, AI frameworks, and vector databases
• Practical NLP knowledge for text generation and chatbot development
• Strong abilities in data preprocessing, feature engineering, and SQL data analysis
• Demonstrated experience supporting live production environments and delivering robust AI solutions
• Authorized to work in the US without current or future sponsorship needs

[Preferred Skills]

• Prior experience deploying on-premises models and infrastructure
• Background transitioning from traditional ML to advanced GenAI/LLM projects
• Exposure to Hadoop environments and ETL pipelines, Bank of AmericaGenAI EngineerNewark DE or Pennington NJ3 days onsite/2 remote12+ month contract to hire$65/hr W2 + 5 referral feeCandidates must be authorized to work in the US w/o the current need for sponsorship IV Process: 2 rounds; Final round is onsiteRequirements:* 3+ years of experience in AI a including LangChain LangGraph and Streamlit* Expertise in data science and experience with AI frameworks* Knowledge of natural language processing for text generation* Skills in data preprocessing feature engineering and vector databasesPosition SummaryWe are looking for a Generative AI Engineer to design build and deploy GenAI solutions on on-premises models and infrastructure You’ll split your time between GenAI work and data engineering and you’ll work with a cross-functional team on projects in data extraction chatbots fraud detection and prevention and classification models This role is for someone who has deployed monitored and tuned models in live production environments and wants to keep learningWhat You’ll Do* Design develop and deploy GenAI solutions using on-prem LLMs and infrastructure* Build chatbots and data extraction solutions using LLMs prompt engineering and NLP* Support traditional AI/ML work including fraud detection fraud prevention and classification models* Monitor model performance after go-live then tune and optimize models in production* Support live production environments* Analyze large datasets in a Hadoop environment using SQL* Support data processing and data engineering work alongside GenAI projects* Work with cross-functional teams Python and data engineering* 2+ years of hands-on GenAI experience in production including deploying monitoring and tuning models* Strong Python programming skills* Hands-on experience with LangChain LangGraph and Streamlit* Experience with LLMs prompt engineering and chatbot development* Knowledge of natural language processing (NLP) for text generation* Skilled in data preprocessing feature engineering and vector databases* SQL skills for data analysis* Background in data science and AI frameworks* Eager to learn and grow with new technologiesPreferred Qualifications* Experience deploying models on-premises* Experience moving from traditional ML i

• Opportunity for contract-to-hire with a global leader
• Hybrid work schedule for work-life balance
• Exposure to cutting-edge AI/ML technology and complex real-world problems
• Collaborative, innovative culture with room for continuous learning and career advancement