About the position
We are seeking a dynamic and experienced AI Development Manager to lead our team in revolutionizing our ERP product suite. You will oversee multiple ERP systems and guide the integration of cutting-edge AI capabilities using OpenAI, ChatGPT, and related technologies. This leadership role involves shaping product roadmaps, managing AI-powered feature development, and ensuring successful releases that delight our customers. We Embrace a Talent-Led Culture. We are looking for an AI Development Manager with a strong dedication to recent and upcoming technologies, and a proven track record in leading modern development methodologies. We seek those who are driven to not only guide the development of clean and sturdy implementations but also to architect, design, and innovate solutions. As a leader on the team, you will work alongside some of the best in the industry across our other practices and software teams to create the next generation enterprise-grade construction software.
Responsibilities
- Lead and manage a team of AI engineers, including hiring, mentoring, and performance management.
- Oversee the design, development, and deployment of AI solutions within our ERP products, leveraging OpenAI, ChatGPT, and other relevant AI frameworks.
- Collaborate with cross-functional teams to understand user needs and translate them into AI-driven features that enhance customer experiences.
- Drive product roadmaps and strategic planning, ensuring AI initiatives align with business objectives.
- Manage AI feature development from concept to production, overseeing the full development lifecycle and ensuring timely delivery.
- Stay up-to-date with the latest advancements in AI and continuously explore new opportunities to leverage them within our ERP ecosystem.
- Establish and maintain best practices for AI development and deployment.
Requirements
- Minimum of 7 Years of relevant experience in ML/AI-related roles with expertise in building/deploying AI solutions, including at least 3 years in a management role.
- Prompt Engineering: Understanding of prompt engineering and optimization techniques to enhance LLMs performance on specific tasks.
- Model Evaluation & Optimization: Experience in evaluating LLMs capabilities and guiding fine-tuning efforts to ensure task generalization.
- Response Quality: Ability to collaborate with ML and Integration engineers to ensure the delivery of contextually appropriate responses in a user-friendly web app.
- Proficient in Python and experience working with machine learning and NLP processing techniques and tools.
- Experience with NoSQL databases and Vector DB.
- Solid experience in developing and implementing generative AI models with a strong understanding of deep learning techniques.
- Proficient in Langchain LLM.
- Strong knowledge of data structures, algorithms, and software engineering principles.
- Required technical skills: Azure Open AI, OpenAI Studio, GPT3/4.
- Proven leadership and team management skills.
- Excellent communication and collaboration skills.
Benefits
- Medical, Dental, Vision, Life, Disability insurance
- Time off plans and retirement plans
- Tax savings plans for health, dependent care and commuter expenses
- Paid Parental Leave
- Employee Stock Purchase Plan
- Bonus Eligible
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