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Job Description
The Head of Engineering for Data, ML, and AI Tools will lead multiple teams developing AI-powered solutions, voice interfaces, and analytics products to support utility clients and internal operations, focusing on delivering innovative machine learning models and tools for the energy, water, and broadband sectors.
Key Responsibilities
- Lead multiple high-impact teams building AI-powered tools, voice interfaces, analytics products, and machine learning models for utility clients and internal teams.
- Manage Engineering Leads and collaborate with cross-functional teams to define technical strategy.
- Oversee the delivery of production-grade systems across LLM, data, and ML domains.
- Drive innovation in AI, data, and machine learning applications for utility use cases such as water leakage detection and customer churn prediction.
- Ensure the development of agent-assist tools like AnswerBots and customer-facing VoiceBots.
- Develop client dashboards that convert data into actionable insights.
Requirements
- Proven experience leading multiple high-impact engineering teams building AI-powered tools, voice interfaces, analytics products, and machine learning models that support utility clients and internal teams.
- Experience managing a group of Engineering Leads and collaborating closely with cross-functional teams to define technical strategy, deliver production-grade systems, and drive innovation across LLM, data, and ML domains.
- Ability to deliver agent-assist tools such as AnswerBots and customer-facing VoiceBots, as well as predictive models for utility use cases including water leakage detection and churn prediction.
- Experience developing client dashboards that turn data into actionable insights.
- Strong technical expertise in AI, machine learning, data management, and large language models (LLMs).
- Experience in designing and delivering scalable, reliable, and production-grade systems in a fast-paced environment.
- Demonstrated ability to lead teams in building AI-driven solutions for utility industries, specifically water and broadband sectors.
- Excellent collaboration skills to work with cross-functional teams including product, data science, and operations.
- Educational background in a relevant field such as Computer Science, Engineering, or related technical discipline (implied, as leadership roles typically require this).
Benefits & Perks
Competitive salary and compensation package (implied by the seniority and scope of the role)
Work environment that is certified as a Great Place to Work in multiple countries (France, Germany, Spain, Japan, Australia)
Recognition as one of the Best Workplaces on Glassdoor in the UK with a score of 4.7
Inclusive and accommodating interview process for candidates with specific needs
Equal opportunity employer with a commitment to diversity and non-discrimination
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