Senior AI Cloud Developer

Role Overview

• hands-on development of end-to-end AI solutions to solve complex business problems
• Cloud services and infrastructure with platforms such as AWS, Microsoft Azure, or Google Cloud
• built or deployed systems powered by LLMs or generative models and understand how model behaviour effects product experience
• Proficiency in programming languages for AI development such as Python, R, or SQL, with experience in libraries/frameworks such as TensorFlow, PyTorch , Scikit-learn, Langchain , etc.
• Experience with big data technologies such as Hadoop and Spark
• implementing required security and privacy controls when developing AI-enabled prototypes, including proper data handling, masking/anonymization, and secure storage based on defined standards
• applying cloud platform security features (e.g., encryption, identity and access management, secure API integrations) to ensure AI applications adhere to enterprise and regulatory requirements
• executing security-related tasks such as integrating authentication, enforcing role-based access, and configuring secure data pipelines as part of delivering production-ready AI solutions
• identifying and addressing security or privacy considerations during development and proactively collaborating with security stakeholders to validate implementation
• documenting security-relevant design decisions, data flows, and privacy considerations to support Responsible AI practices and audit transparency
• collaborating with internal stakeholders to create AI-enabled solutions for repeatable business problems and develop functional prototypes to validate feasibility and applicability of AI technologies to practical use cases and challenges
• fostering innovation by identifying new AI technologies or methodologies that can enhance current processes or solve new challenges
• establishing best practices in AI governance principles ensuring ethical use, transparency, risk management while delivering high-quality services to clients

Requirements

• Bachelor’s degree in relevant discipline (Computer Science or related field)
• 2 + years working on designing and deploying technology projects involving advanced analytics or machine learning models
• A minimum of 1-year hands-on experience with Generative Artificial Intelligence technology experimentation, prototyping, solutioning and deployment
• Familiarity with cloud-based AI technologies and platforms is strongly preferred
• Professional Certification such as AWS Certified Solutions Architect or Azure Solutions Architect are preferred

Tech Stack

• AWS
• Azure
• Cloud
• Hadoop
• Python
• PyTorch
• Scikit-Learn
• Spark
• SQL
• Tensorflow

Benefits

• employees are eligible for medical, dental, and vision coverages
• FSA and HSA healthcare accounts
• life and accident insurance
• adoption and fertility assistance
• paid parental leave up to 10 weeks
• short/long term disability
• 401(k) savings and investment plan with an employer match of 50% on the first 6% of your contributions
• Choice Time Off (CTO) for vacation, personal needs, and sick time
• up to 20 days of CTO per calendar year
• recognizes up to 11 paid holidays each calendar year