TE Connectivity - Artificial Intelligence Solution Architect (15-18 yrs)

PRIMARY 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

ROLE SPECIFICATIONS :

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 or similar

- 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.

EDUCATION / EXPERIENCE :

- Masters or PHD in computer science, AI or equivalent experience, Minimum 10+ years of experience.

- BE in Computer Science with 15+ years of experience.

- 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 Certified Solution Architect - AWS Sage maker, or any other certification would help

- Ability to work in ambiguous, constrained fast paced environment and provide technical dept and clarity