๐ง๐ต๐ถ๐ ๐ฟ๐ผ๐น๐ฒ ๐ถ๐ ๐ณ๐ผ๐ฟ ๐ผ๐ป๐ฒ ๐ผ๐ณ ๐๐ต๐ฒ ๐ช๐ฒ๐ฒ๐ธ๐ฑ๐ฎ๐'๐ ๐ฐ๐น๐ถ๐ฒ๐ป๐๐
๐ฆ๐ฎ๐น๐ฎ๐ฟ๐ ๐ฟ๐ฎ๐ป๐ด๐ฒ: ๐ฅ๐ ๐ฎ๐ฑ๐ฌ๐ฌ๐ฌ๐ฌ๐ฌ - ๐ฅ๐ ๐ฒ๐ฑ๐ฌ๐ฌ๐ฌ๐ฌ๐ฌ (๐ถ๐ฒ ๐๐ก๐ฅ ๐ฎ๐ฑ-๐ฒ๐ฑ ๐๐ฃ๐)
Experience: 14+ yrs
Location: Chennai, Hyderabad
As a AI Architect, you will lead the design and implementation of advanced artificial intelligence solutions that drive business value while ensuring compliance with regulatory standards such as HIPAA. You will collaborate with crossโfunctional teams to translate complex data science challenges into scalable, cloudโnative architectures on Google Cloud Platform. You will guide the endโtoโend lifecycle of AI projects, from data ingestion and model training to deployment, monitoring and continuous improvement, leveraging GCP services such as Vertex AI, BigQuery, and AI Platform Pipelines. You will act as a technical evangelist, promoting best practices in AI ethics, data privacy and security, and working closely with product, engineering and compliance teams to maintain robust governance frameworks.
Requirements
๐๐ฒ๐ ๐ฅ๐ฒ๐๐ฝ๐ผ๐ป๐๐ถ๐ฏ๐ถ๐น๐ถ๐๐ถ๐ฒ๐
โข Design and architect AI/ML solutions on Google Cloud Platform that meet business and regulatory requirements.
โข Lead the development of data pipelines, feature stores, and model deployment workflows using GCP services such as BigQuery, Dataflow, Cloud Composer, and Vertex AI.
โข Ensure data privacy, security, and compliance with HIPAA regulations through proper access controls, encryption, and audit logging.
โข Collaborate with data scientists to translate research prototypes into productionโgrade models, optimizing for performance, scalability, and cost.
โข Develop and maintain infrastructure-as-code using Terraform or Cloud Deployment Manager for reproducible, versioned deployments.
โข Monitor model performance, drift, and resource utilization, and implement automated retraining and rollback mechanisms.
โข Mentor and coach engineering and data science teams on AI architecture patterns, best practices, and emerging technologies.
โข Conduct threat modeling and risk assessments to identify and mitigate potential security vulnerabilities in AI workflows.
โข Develop documentation, design reviews, and knowledge transfer materials for internal stakeholders and external partners.
โข Stay abreast of industry trends, new GCP features, and AI research advancements to continuously improve solution design.
๐ช๐ต๐ฎ๐ ๐ ๐ฎ๐ธ๐ฒ๐ ๐ฌ๐ผ๐ ๐ฎ ๐๐ฟ๐ฒ๐ฎ๐ ๐๐ถ๐
โข 14+ years of professional experience designing and deploying largeโscale AI/ML systems in cloud environments.
โข Deep expertise in Google Cloud Platform services, including Vertex AI, BigQuery, Dataflow, and Cloud AI Platform.
โข Proven track record of implementing HIPAAโcompliant data solutions, with handsโon experience in encryption, access controls, and audit logging.
โข Strong background in data science, machine learning algorithms, model evaluation, and statistical analysis.
โข Extensive experience with DevOps practices, CI/CD pipelines, containerization (Docker, Kubernetes), and infrastructure-as-code.
โข Ability to translate complex business requirements into technical specifications and architecture diagrams.
โข Excellent communication skills, capable of presenting technical concepts to both technical and nonโtechnical audiences.
โข Demonstrated leadership in guiding crossโfunctional teams, managing project timelines, and delivering highโimpact outcomes.
โข Familiarity with AI ethics, responsible AI principles, and bias mitigation techniques.
โข Passion for continuous learning and staying current with emerging AI technologies and cloud innovations.