Ai Tech Lead - Ai Architect - Aws Cloud Solutions
- UST
- 15 - 24 years
- Kochi
- 7 months ago
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Job Description
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 lifecyclefrom 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, alerting, 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.
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Engineering - Software & QARole Category: Software DevelopmentRole: Solution ArchitectEmployement Type: Full timeContact Details:
Company: USTLocation(s): Kochi
Keyskills: Aws Bedrock Amazon Cloudwatch Aws Sagemaker Aiml Python RDS GenAI Data Ingestion Amazon Ec2 Vpc AI Governance Kubeflow Dynamo Db Kubernetes
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