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Oowlish

Bogotá / Global

Senior AI Solutions Engineer (Python & AWS Bedrock)

  • Remote

Job Description

Join Our Team Oowlish, one of Latin America's rapidly expanding software development companies, is seeking experienced technology professionals to enhance our diverse and vibrant team. As a valued member of Oowlish, you will collaborate with premier clients from the United States and Europe, contributing to pioneering digital solutions. Our commitment to creating a nurturing work environment is recognized by our certification as a Great Place to Work, where you will have opportunities for professional development, growth, and a chance to make a significant international impact. We offer the convenience of remote work, allowing you to craft a work-life balance that suits your personal and professional needs. We're looking for candidates who are passionate about technology, proficient in English, and excited to engage in remote collaboration for a worldwide presence.

About The Role We are looking for an experienced AI Solutions Engineer to help build an AI-powered IT Help Desk Automation platform using AWS Bedrock and modern serverless technologies. This role focuses on designing intelligent automation workflows that leverage AI agents to streamline IT operations, including ticket triage, request routing, and identity/access management automation across enterprise systems. The ideal candidate combines strong Python development skills with hands-on experience building AI-powered applications using AWS Bedrock and modern AWS serverless services.

Key Responsibilities Design and develop AI-powered automation solutions using AWS Bedrock

Build and orchestrate AI agents capable of handling IT help desk workflows

Develop integrations with enterprise platforms using REST APIs

Implement automation for ticket triage, routing, and access request workflows

Build serverless applications using AWS Lambda and Step Functions

Integrate AI workflows with KACE, Okta, Azure AD, and similar enterprise platforms

Design secure, scalable, and maintainable cloud-native solutions

Collaborate with engineering teams to continuously improve AI agent performance

Participate in architecture discussions and technical decision-making

Requirements 5+ years of software engineering experience

Strong Python development experience

Hands-on experience with AWS cloud services

Experience building cloud-native applications

Experience integrating enterprise systems using REST APIs

Strong problem-solving skills

Experience working in Agile environments

Strong English communication skills

Must Have Strong Python development experience

Hands-on experience with AWS Bedrock

Experience building AI Agents

Experience with: Bedrock Agents

Action Groups

Guardrails

Experience developing serverless applications using: AWS Lambda

AWS Step Functions

Experience integrating enterprise systems through REST APIs

Experience with identity and access management integrations

Experience designing scalable cloud-native architectures

Strong understanding of Generative AI application development

Nice to Have Experience integrating with: Okta

Azure Active Directory (Azure AD)

KACE

Experience with enterprise ITSM platforms

Experience with authentication and identity management

Experience with Amazon API Gateway

Experience with EventBridge or SQS

Experience with Infrastructure as Code

Experience with prompt engineering

Experience optimizing AI agent workflows

Benefits & Perks Home office;

Competitive compensation based on experience;

Career plans to allow for extensive growth in the company;

International Projects;

Oowlish English Program (Technical and Conversational);

Games and Competitions;

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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