The Digital Workplace Data AI/ML Automation Platform with GENAI capabilities aims to bring together data from various platforms to provide real-time, meaningful insights in areas such as user experience, health scoring, productivity, and overall IT visibility. The Engineering Director will lead the technical development and enhancement of this platform to provide personalization capabilities, analytics, and predictive analysis using AI/ML and GENAI, ultimately aiming to deliver the best Colleague digital experience and simplify work by empowering Colleagues with the best digital tools and services.
Requirements
- Experience writing software in Java, Python, Scala or similar.
- Experience with data structures, algorithms, and software design.
- Exposure to Data Science including Predictive Modelling.
- Develop Algorithms in multilingual conversational systems.
- Solve real-world scenarios for user commands and requests by identifying the right LLM models, tooling and frameworks.
- Strong foundation in machine learning concepts and techniques, including deep learning architectures, natural language processing, and text generation.
- Demonstrated ability to design, train, fine-tune, and optimize large language models for specific tasks.
Responsibilities
- Create and manage a complex distributed data engineering pipeline at scale and manage its availability, throughputs, and security.
- Lead engineering teams and partner with Product Management to enhance the quality and outcomes of the data products including data analytics & visualization
- Lead the solutioning of Software and AI/ML models on the data to build meaningful insights & predictive analysis
- Work & collaborate with Product Management and Digital Workplace teams to influence key decisions on architecture and implementation of scalable, reliable, and cost-effective AI/ML and Software platform
- Bring thought leadership to advance the overall state of technology and customer focus for the platform
- Introduce Engineering and AI/ML enterprise architectural paradigms and solutions into the portfolio.
- Drive both high level and detailed design and conduct design reviews
Other
- Strong stakeholder management skills, influencing skills to talk to business and technical stakeholders.
- Communicate to senior leaders regarding strategy direction and changes.
- Mentor engineers and solution architects to ensure technology complexities are understood very clearly to implement solutions expeditiously with high quality
- Manage delivery milestones, deployment cycles & delivery of the overall AI/ML Platform’s roadmap
- Enthusiasm for staying up-to-date with the latest advancements in AI, NLP, and large language models.
