AI Solutions Architect
2 days ago
Company Overview
TE Connectivity is a global leader in connectivity and sensing solutions. We believe that data and AI are strategic drivers for future success, enabling us to create a safer, sustainable, and more connected world.
Job Summary
We are seeking an experienced AI Solutions Architect to join our team. As a key member of our Data and Analytics practice, you will be responsible for architecting AI solutions that drive organic growth and operational efficiencies across our business units.
About the Role
The AI Solutions Architect will oversee the architecture for AI solution teams, focusing on modifying existing products and creating new ones. You will work closely with cross-functional teams to design, build, implement, and maintain AI/ML/Generative AI applications. Leadership skills are essential to implement the latest AI techniques and architectures and to continuously improve the AI/ML development, delivery, and operations process.
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
We are looking for a highly skilled and experienced individual with a strong background in AI/ML, cloud computing, and software engineering. The ideal candidate should have:
- 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
Salary Information
We offer a competitive salary range of $150,000 - $200,000 per year, depending on experience and qualifications.
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