AI Tech Lead / AI Architect – AWS Cloud Solutions - Trivandrum - Immediate Joiner

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Roles and Responsibilities:

Architecture & Infrastructure Design

• Architect scalable, resilient, and secure AI/ML infrastructure on AWS using services like EC2, SageMaker, Bedrock, VPC, RDS, DynamoDB, CloudWatch.
• Develop Infrastructure as Code (IaC) using Terraform, and automate deployments with CI/CD pipelines.
• Optimize cost and performance of cloud resources used for AI workloads.

AI Project Leadership

• Translate business objectives into actionable AI strategies and solutions.
• Oversee the entire AI lifecycle—from data ingestion, model training, and evaluation to deployment and monitoring.
• Drive roadmap planning, delivery timelines, and project success metrics.

Model Development & Deployment

• Lead selection and development of AI/ML models, particularly for NLP, GenAI, and AIOps use cases.
• Implement frameworks for bias detection, explainability, and responsible AI.
• Enhance model performance through tuning and efficient resource utilization.

Security & Compliance

• Ensure data privacy, security best practices, and compliance with IAM policies, encryption standards, and regulatory frameworks.
• Perform regular audits and vulnerability assessments to ensure system integrity.

Team Leadership & Collaboration

• Lead and mentor a team of cloud engineers, ML practitioners, software developers, and data analysts.
• Promote cross-functional collaboration with business and technical stakeholders.
• Conduct technical reviews and ensure delivery of production-grade solutions.

Monitoring & Maintenance

• Establish robust model monitoring, ing, and feedback loops to detect drift and maintain model reliability.
• Ensure ongoing optimization of infrastructure and ML pipelines.

Must-Have Skills:

• 10+ years of experience in IT with 4+ years in AI/ML leadership roles.
• Strong hands-on experience in AWS services: EC2, SageMaker, Bedrock, RDS, VPC, DynamoDB, CloudWatch.
• Expertise in Python for ML development and automation.
• Solid understanding of Terraform, Docker, Git, and CI/CD pipelines.
• Proven track record in delivering AI/ML projects into production environments.
• Deep understanding of MLOps, model versioning, monitoring, and retraining pipelines.
• Experience in implementing Responsible AI practices – including fairness, explainability, and bias mitigation.
• Knowledge of cloud security best practices and IAM role configuration.
• Excellent leadership, communication, and stakeholder management skills.

Good-to-Have Skills:

• AWS Certifications such as AWS Certified Machine Learning – Specialty or AWS Certified Solutions Architect.
• Familiarity with data privacy laws and frameworks (GDPR, HIPAA).
• Experience with AI governance and ethical AI frameworks.
• Expertise in cost optimization and performance tuning for AI on the cloud.
• Exposure to LangChain, LLMs, Kubeflow, or GCP-based AI services.

Skills

Enterprise Architecture,Enterprise Architect,Aws,Python