AI Solution Architect

2 months ago

Singapur, Singapore TE Connectivity Full time
About the Role

We are seeking a highly skilled AI Solution Architect to join our team at TE Connectivity. As a key member of our Data and AI team, you will play a critical role in designing and implementing cutting-edge AI solutions that drive business growth and innovation.

Key Responsibilities
  • Define and oversee the AI/ML/GenAI technical direction and architectural vision, ensuring alignment with strategic goals and digital transformation efforts.
  • Data Analysis, Tool and Framework selection, Model Development, Testing and Deployment.
  • Key contributor in architecting a comprehensive AI Engineering framework that supports the deployment, evaluation, and management of ML models & GenAI solutions.
  • Select appropriate technologies from a pool of open-source and commercial offerings, considering deployment models and integration with existing tools.
  • Understand and contribute to MLOps and LLMOps focusing on operational capabilities and infrastructure to deploy and manage machine learning models and large language models.
  • Collaborate with Enterprise, Application, Data & DevOps Architects, Data scientists, Machine Learning & GenAI Engineers, and Business teams to pilot use cases and discuss architectural design.
  • Develop and maintain contact with top decision makers, lead proposal development, and contribute to pricing strategies.
  • Audit AI tools and practices across data, models and software engineering focusing on continuous improvement and feedback mechanisms.
  • Help AI product managers and business stakeholders understand the potential and limitations of AI when planning new products.
  • Own all communication and collaboration channels pertaining to assigned projects, including regular stakeholder review meetings and cross team alignments.
  • Work closely with the business, segment analytics, IT teams and partners to deliver the outcome and help drive adoption.
  • Hands-on prototyping of new technology solutions by working with cross teams
Requirements
  • 5+ Years of Experience operating on AWS Cloud or other cloud hyperscalers with building Data and AI Solutions
  • 5+ Years of Experience Data Warehouses, Data Lakes and Data Modelling techniques
  • 5 + years of experience in Data Science, Statistics, and Machine Learning
  • 5+ years of experience in machine learning model development, natural language processing, and data analysis; Experienced in Supervised and Unsupervised learning, feature engineering, model training, and deployment.
  • 5+ years of experience in implementing cloud-based AI/ML workloads on any cloud hyperscalers (AWS, Google or Azure).
  • Good understanding and implementation experience on GenAI models available with Cloud hyperscalers. AWS Bedrock experience is a plus but not required.
  • 5+ Years of coding experience with Python, R, SQL etc.
  • Hands on experience working with LLM/RAG/Finetuning
  • Experience working on Agile projects and Agile methodology in general.
  • Experience in configuration management tools and defining configuration management schema
  • Excellent problem solving, communications, and teamwork skills.
  • Exceptional presentation, visualization, and analysis skills
We Value
  • Experience in architecting Data and AI Project deployments leveraging Cloud and On-premises.
  • Robust problem-solving skills and a focus on achieving results.
  • Decision-making based on factual evidence and logical reasoning.
  • Strong communication skills – ability to interact with business users and executives.
  • Certifications in AI/ML technologies and Cloud platforms, such as AWS Certified Machine Learning – AWS Sage maker, or any other certification would help
  • Ability to work in ambiguous, constrained fast paced environment and provide technical dept and clarity

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