Lead development of a generative AI proof-of-concept and integrate AI solutions into software workflows. Mentor data engineers, design and implement Python-based generative AI applications, build scalable data pipelines, deploy models/APIs, and translate stakeholder requirements into technical solutions while staying current on AI and data engineering best practices.
Key Responsibilities:
- Lead the creation of a POC for using generative AI in software development, demonstrating its potential to improve efficiency, quality, and innovation.
- Collaborate with software development teams to integrate generative AI solutions into existing workflows.
- Lead and mentor a team of data engineers, providing technical guidance and fostering a collaborative team environment.
- Design, develop, and implement generative AI applications using Python.
- Work closely with stakeholders to understand business requirements and translate them into technical solutions.
- Drive the development and execution of data engineering strategies to support business objectives.
- Develop and maintain scalable data pipelines, API and model deployments, and workflows.
- Communicate complex analytical findings and insights to non-technical stakeholders in a clear and concise manner.
- Stay current with industry trends, best practices, and emerging technologies in data analytics, generative AI, and Python programming.
Qualifications:
- Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, or a related field.
- 5+ years of experience in data engineering and AI, with at least 2 years in a leadership or supervisory role.
- Proficiency in Python programming and its libraries (e.g. pandas, numpy, scikit-learn, matplotlib, seaborn).
- Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and their data analytics and AI services.
- Strong understanding of statistical analysis, machine learning, and data mining techniques.
- Experience with generative AI models (e.g., GPT, GANs) and their applications in software development.
- Experience with big data technologies (e.g., Hadoop, Spark) and data visualization tools (e.g., Tableau, Power BI) is a plus.
- Solid experience with SQL and database management.
- Excellent problem-solving skills and the ability to work independently and as part of a team.
- Strong communication and interpersonal skills, with the ability to effectively convey technical concepts to non-technical stakeholders.
Preferred Qualifications:
- Knowledge of data governance and data privacy regulations.
- Experience in agile development methodologies.
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Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.
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