Sr Administrator (Support & Operations)

Job Summary

Experience: 5-10 years of overall experience, including at least 1 year of production Generative AI implementation using Amazon Bedrock, Bedrock Knowledge Bases, Bedrock Guardrails, and Bedrock AgentCore Runtime, Gateway, Memory, Identity, Evaluations, and Observability.

Job Summary: We are looking for an experienced Senior Developer - AWS Generative AI and Agentic AI to design, build, and deliver secure, scalable, production-grade AI solutions using Amazon Bedrock, Bedrock Knowledge Bases, Bedrock Guardrails, and Bedrock AgentCore Runtime, Gateway, Memory, Identity, Evaluations, and Observability. The candidate will translate business requirements into measurable technical outcomes and apply strong engineering, observability, security, governance, and Responsible AI practices.

Key Responsibilities

Preferred Skills:

• Working knowledge of Deployment, LLMOps and Observability, including Amazon CloudWatch, AWS X-Ray, AWS CloudTrail, Amazon ECR.
• Working knowledge of Data and Multimodal AI, including Amazon S3, AWS Glue, AWS Lake Formation, Amazon Athena.

Skill Requirements

• Preferred Skills:

  • Working knowledge of Deployment, LLMOps and Observability, including Amazon CloudWatch, AWS X-Ray, AWS CloudTrail, Amazon ECR.
  • Working knowledge of Data and Multimodal AI, including Amazon S3, AWS Glue, AWS Lake Formation, Amazon Athena.
  Bachelor’s or master’s degree in computer science, Engineering, Information Technology, or a related field.
• 5-10 years of overall experience, including at least 1 year of production Generative AI implementation.
• Strong understanding of LLMs, RAG, agentic automation, prompt engineering, evaluation, and production AI operations.
• Ability to design secure and reliable APIs, tool integrations, data flows, identity controls, and failure-handling mechanisms.
• Experience implementing automated testing, version control, deployment pipelines, monitoring, and rollback practices.
• Good understanding of Responsible AI, privacy, safety, compliance, and enterprise security standards.
• Strong problem-solving skills and the ability to work effectively in a fast-paced, cross-functional environment.
• Strong written and verbal communication skills, including the ability to explain technical concepts to non-technical stakeholders.

Other Requirements

• Bachelor’s or master’s degree in computer science, Engineering, Information Technology, or a related field.
• 5-10 years of overall experience, including at least 1 year of production Generative AI implementation.
• Strong understanding of LLMs, RAG, agentic automation, prompt engineering, evaluation, and production AI operations.
• Ability to design secure and reliable APIs, tool integrations, data flows, identity controls, and failure-handling mechanisms.
• Experience implementing automated testing, version control, deployment pipelines, monitoring, and rollback practices.
• Good understanding of Responsible AI, privacy, safety, compliance, and enterprise security standards.
• Strong problem-solving skills and the ability to work effectively in a fast-paced, cross-functional environment.
• Strong written and verbal communication skills, including the ability to explain technical concepts to non-technical stakeholders.