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Open nowPosted 3 hours agoWe saw it 105 min after it went up

AI Architect

Weekday AI

Where
Chennai, TN, India
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Your applicationOpen nowAI ArchitectWeekday AI · Chennai, TN, India

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The clock on this job

Early applications get read.

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Share of postings closed within
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  3. 13.9%7 days
  4. 22.4%14 days
  5. 38.1%30 days
  6. 59.0%60 days
This job: posted 3 hours ago

The posting

𝗧𝗵𝗶𝘀 𝗿𝗼𝗹𝗲 𝗶𝘀 𝗳𝗼𝗿 𝗼𝗻𝗲 𝗼𝗳 𝘁𝗵𝗲 𝗪𝗲𝗲𝗸𝗱𝗮𝘆'𝘀 𝗰𝗹𝗶𝗲𝗻𝘁𝘀

𝗦𝗮𝗹𝗮𝗿𝘆 𝗿𝗮𝗻𝗴𝗲: 𝗥𝘀 𝟮𝟱𝟬𝟬𝟬𝟬𝟬 - 𝗥𝘀 𝟲𝟱𝟬𝟬𝟬𝟬𝟬 (𝗶𝗲 𝗜𝗡𝗥 𝟮𝟱-𝟲𝟱 𝗟𝗣𝗔)

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 cross‑functional teams to translate complex data science challenges into scalable, cloud‑native architectures on Google Cloud Platform. You will guide the end‑to‑end 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

𝗞𝗲𝘆 𝗥𝗲𝘀𝗽𝗼𝗻𝘀𝗶𝗯𝗶𝗹𝗶𝘁𝗶𝗲𝘀

• Design and architect AI/ML solutions on Google Cloud Platform that meet business and regulatory requirements.

• Lead the development of data pipelines, feature stores, and model deployment workflows using GCP services such as BigQuery, Dataflow, Cloud Composer, and Vertex AI.

• Ensure data privacy, security, and compliance with HIPAA regulations through proper access controls, encryption, and audit logging.

• Collaborate with data scientists to translate research prototypes into production‑grade models, optimizing for performance, scalability, and cost.

• Develop and maintain infrastructure-as-code using Terraform or Cloud Deployment Manager for reproducible, versioned deployments.

• Monitor model performance, drift, and resource utilization, and implement automated retraining and rollback mechanisms.

• Mentor and coach engineering and data science teams on AI architecture patterns, best practices, and emerging technologies.

• Conduct threat modeling and risk assessments to identify and mitigate potential security vulnerabilities in AI workflows.

• Develop documentation, design reviews, and knowledge transfer materials for internal stakeholders and external partners.

• Stay abreast of industry trends, new GCP features, and AI research advancements to continuously improve solution design.

𝗪𝗵𝗮𝘁 𝗠𝗮𝗸𝗲𝘀 𝗬𝗼𝘂 𝗮 𝗚𝗿𝗲𝗮𝘁 𝗙𝗶𝘁

• 14+ years of professional experience designing and deploying large‑scale AI/ML systems in cloud environments.

• Deep expertise in Google Cloud Platform services, including Vertex AI, BigQuery, Dataflow, and Cloud AI Platform.

• Proven track record of implementing HIPAA‑compliant data solutions, with hands‑on experience in encryption, access controls, and audit logging.

• Strong background in data science, machine learning algorithms, model evaluation, and statistical analysis.

• Extensive experience with DevOps practices, CI/CD pipelines, containerization (Docker, Kubernetes), and infrastructure-as-code.

• Ability to translate complex business requirements into technical specifications and architecture diagrams.

• Excellent communication skills, capable of presenting technical concepts to both technical and non‑technical audiences.

• Demonstrated leadership in guiding cross‑functional teams, managing project timelines, and delivering high‑impact outcomes.

• Familiarity with AI ethics, responsible AI principles, and bias mitigation techniques.

• Passion for continuous learning and staying current with emerging AI technologies and cloud innovations.

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