Senior Ai Platform Engineer
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Role details
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Job description
We’re partnering with a major international financial organisation to recruit a Senior AI Platform Engineer to build an enterprise platform supporting AI agents, tools and integrations.This is a hands?on consulting opportunity combining AWS engineering, Python development and technical leadership.You’ll translate architecture into production?ready services, guide implementation decisions and help establish a secure, reliable foundation for enterprise AI adoption.What you’ll be doing Leading the implementation of an AI Skills Registry, including service APIs, metadata management, publishing and approval workflows.Building integrations with Amazon Bedrock AgentCore and/or Amazon Q and enterprise systems.Developing Python services and REST APIs using AWS technologies, including Lambda and EventBridge.Building infrastructure as code, CI/CD pipelines and deployment automation.Establishing automated testing, monitoring and operational tooling.Reviewing designs, identifying implementation risks and mentoring developers while working closely with the Solution Architect.What you’ll bring 7+ years of software engineering experience, with strong hands?on AWS and Python skills.Experience designing APIs, enterprise integrations and reliable production services.Infrastructure?as?code experience using Terraform, AWS CDK or CloudFormation.Strong CI/CD, automated testing and DevOps practices.Knowledge of IAM, OAuth2, OIDC and cloud security.Practical experience with Amazon Bedrock, AgentCore, MCP and AI agent or tool orchestration.The ability to lead technical implementation while remaining actively involved in development.Working arrangements Remote working is available for consultants based within the EU, EEA or UK.Contract until the end of **, offering up to €70 per hour, depending on relevant experience.#J-***-Ljbffr
Requirements
You’ll translate architecture into production?ready services, guide implementation decisions and help establish a secure, reliable foundation for enterprise AI adoption.What you’ll be doing Leading the implementation of an AI Skills Registry, including service APIs, metadata management, publishing and approval workflows.Building integrations with Amazon Bedrock AgentCore and/or Amazon Q and enterprise systems.Developing Python services and REST APIs using AWS technologies, including Lambda and EventBridge.Building infrastructure as code, CI/CD pipelines and deployment automation.Establishing automated testing, monitoring and operational tooling.Reviewing designs, identifying implementation risks and mentoring developers while working closely with the Solution Architect.What you’ll bring 7+ years of software engineering experience, with strong hands?on AWS and Python skills.Experience designing APIs, enterprise integrations and reliable production services.Infrastructure?as?code experience using Terraform, AWS CDK or CloudFormation.Strong CI/CD, automated testing and DevOps practices.Knowledge of IAM, OAuth2, OIDC and cloud security.Practical experience with Amazon Bedrock, AgentCore, MCP and AI agent or tool orchestration.The ability to lead technical implementation while remaining actively involved in development.Working arrangements Remote working is available for consultants based within the EU, EEA or UK.Contract until the end of **, offering up to €70 per hour, depending on relevant experience. #J-***-Ljbffr
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