Embedding intelligent agents into the very fabric of ABS Wavesight's product strategy to drive innovation across safety, sustainability, and performance portfolios.
Requirements
- At least 6 to 8 years of experience in data science, computer science, information systems, engineering, or other relevant fields, including a proven track record in applied AI and machine learning.
- 1+ years of experience specifically in agentic AI or similar emerging agent frameworks
- Azure AI Fundamentals or equivalent
- Azure Data Scientist Associate or equivalent
- Azure AI Engineer Associate or equivalent
- Credentials or training in generative AI, agent-based modeling, and multi-agent systems
- Demonstrated mastery in developing and deploying agentic AI solutions and a proven track record of integrating AI-driven agents into large-scale products.
Responsibilities
- Lead the vision, strategy, and execution of enterprise-scale data science and AI initiatives, with emphasis on agentic AI solutions that deliver measurable business value.
- Architect, develop, and deploy advanced AI/ML models and intelligent agent systems, ensuring scalability, interpretability, and alignment with organizational priorities.
- Drive cross-functional adoption of AI capabilities by influencing product roadmaps, setting technical standards, and ensuring consistent integration across portfolios.
- Serve as a principal technical authority and mentor for senior data scientists, fostering a culture of innovation, ethical AI use, and technical excellence.
- Lead design and implementation of enterprise-grade data architectures, pipelines, and platforms that enable rapid experimentation and deployment.
- Oversee the development and governance of AI/ML model lifecycle management, from prototyping through monitoring and continuous improvement.
- Direct the evaluation and integration of emerging AI tools, frameworks, and methodologies, including generative AI and large language models.
Other
- The preferred candidate for this position should be located in the Greater Houston area and open to work a hybrid schedule with three (3) days in the ABS Headquarters Office located in Spring, Texas, and two (2) days of remote work.
- Translate complex AI concepts into actionable strategies for non-technical stakeholders, enabling informed decision-making at all levels.
- Partner with executive leadership to identify and prioritize high-impact AI opportunities that align with corporate goals in safety, sustainability, and performance.
- Display an entrepreneurial mindset and the ability to devise practical, out-of-the-box solutions to complex business challenges.
- Shape the external perception of the organization’s AI leadership through keynote speaking, industry working group participation, and thought leadership publications.
