Only submit candidates who are interested in and eligible for conversion to Client FTE.
Position Overview
We are seeking an experienced AWS Cloud & AI Platform Engineer II to enable and advance enterprise AI and Machine Learning capabilities within a secure, scalable, and governed cloud environment.
The engineer will design, implement, and support AWS-based AI/ML and Generative AI platforms, enabling experimentation, proof of concepts, model development, and enterprise adoption of AI solutions.
This role will work closely with engineering, infrastructure, security, risk, data, and business teams to build reusable AI platform capabilities aligned with enterprise technology, security, regulatory, and operational standards.
Required Qualifications
Education & Experience
- Bachelor’s degree in Computer Science, Information Technology, Engineering, Data Science, Mathematics, or related technical field.
- 9+ years of experience in cloud platform engineering, AI/ML enablement, platform architecture, or enterprise technology delivery.
- Hands-on experience with AWS cloud platforms and AI/ML technologies.
- Experience supporting or operationalizing Generative AI and AI/ML platforms.
- Strong experience with cloud infrastructure automation, DevOps, and IaC.
- Experience working with enterprise engineering, security, risk, infrastructure, data, and business teams.
Must-Have Technical Skills
- AWS Cloud
- AI Risk Management
- Generative AI / AI/ML
- Amazon Bedrock
- Amazon SageMaker
- S3, Lambda, API Gateway
- IAM & CloudWatch
- Terraform / CloudFormation
- CI/CD & DevOps
- Python
- SQL
- REST APIs / Cloud Integrations
- RAG
- Prompt Engineering
- AI/ML Model Evaluation
- LangChain / LlamaIndex
- Vector Databases
- Agentic AI
- MCP
- AI governance, security, risk, and compliance
Ideal Candidate Profile
The ideal candidate should be a senior AWS Cloud/Platform Engineer with strong hands-on Generative AI experience, rather than a pure Data Scientist or ML Researcher.
Look for candidates with a combination of:
AWS Cloud + Platform Engineering + GenAI/LLM + IaC/DevOps + AI Governance/Risk
