AI Platform Engineer - AWS Platform
First seen by Alion on Oct 14, 2026.
Role Overview :
We are seeking a seasoned AI Platform Engineer to join our high-impact engineering team in Bangalore for a 12-month extendable contract.
In this role, you will be the architect behind our scalable AI infrastructure, bridging the gap between cutting-edge research and production-grade deployments.
You will work closely with Data Scientists, ML Engineers, and cross-functional product stakeholders to build robust pipelines that power our next-generation AI services.
Key Responsibilities :
- Architect and maintain scalable AI/ML platforms on AWS to ensure high availability and performance for production-grade machine learning models.
- Automate infrastructure provisioning using Terraform to create reproducible, secure, and compliant environments for data science teams.
- Integrate Amazon SageMaker and Amazon Bedrock into existing workflows to accelerate the lifecycle of LLMs and custom predictive models.
- Design and implement end-to-end CI/CD pipelines that enable seamless code integration, automated testing, and rapid deployment of AI services.
- Collaborate with engineering leadership to optimize cloud resource utilization, ensuring cost-efficiency without compromising system latency or throughput.
Required Skillset:
- Demonstrated expertise in building and managing enterprise-grade AI platforms on AWS, with a deep understanding of cloud-native architecture.
- Proficient in Python for developing automation scripts, custom tooling, and integrating complex ML workflows.
- Proven ability to manage infrastructure as code using Terraform, ensuring consistency across development, staging, and production environments.
- Hands-on experience deploying and scaling models using Amazon SageMaker and leveraging Amazon Bedrock for generative AI applications.
- Strong communication skills with the ability to translate complex technical requirements into actionable engineering tasks for diverse stakeholders.
- Exceptional problem-solving capabilities, with a track record of thriving in fast-paced, collaborative environments requiring high levels of autonomy.
- A minimum of 7 - 14 years of relevant industry experience, ideally backed by a degree in Computer Science or a related quantitative field.
- Ability to work effectively in a hybrid setup in Bangalore, maintaining high standards of documentation and collaborative excellence.
Skills
AIOps, MLOps, AWS, LLM, IT Infrastructure Automation, CI/CD Pipeline, Native Cloud, Python, Terraform, Machine Learning