About this role.
This senior engineering role designs enterprise-grade generative AI solutions using AWS Bedrock, including agents, guardrails, RAG pipelines, and workflow automation. The engineer will integrate systems such as ServiceNow and SAP through secure REST APIs, BAPI, and OData while building cloud-native AWS services and React interfaces. Core work includes enterprise knowledge retrieval, document-processing workflows, identity and security controls, and GenAI CI/CD automation. The position requires strong Python, AWS, distributed-systems, and English communication skills in a remote, international delivery environment.
Role DNA
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Job Complexity
5/5Pace & Pressure
4/5Autonomy Level
5/5Communication Load
4/5Salary analysis
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Core skills
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Sample interview questions
I would explain the source-document ingestion process, chunking and metadata strategy, embedding and OpenSearch configuration, retrieval evaluation metrics, and how I used access controls and prompt grounding to reduce irrelevant or unsupported responses.
I would use Bedrock Agents with narrowly scoped action groups, API Gateway or secured service endpoints, Cognito-based authentication, least-privilege IAM roles, encrypted secrets, validation layers, audit logging, and guardrails around sensitive actions and data.
I would establish clear use-case boundaries, protect sensitive data, apply Bedrock Guardrails, log inputs and outcomes appropriately, evaluate for harmful or unreliable outputs, provide human approval for high-impact actions, and continuously monitor production behavior.
I would describe versioning application code, prompts, infrastructure, and evaluation datasets; using GitHub Actions for automated tests and deployments; running safety and quality evaluations before release; and promoting changes through controlled environments with rollback capability.
I would separate document ingestion, OCR or extraction, schema normalization, validation rules, confidence scoring, and exception handling. Low-confidence or policy-sensitive cases would be routed to human review, while accepted results would be stored with traceability and audit metadata.
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 Senior Enterprise AI Engineer to design and build enterprise-grade AI solutions that automate complex business workflows using AWS Bedrock and modern cloud technologies.
This role focuses on developing end-to-end AI-powered automation workflows that integrate enterprise systems such as ServiceNow and SAP while leveraging Retrieval-Augmented Generation (RAG), knowledge bases, and Responsible AI practices.
The ideal candidate combines strong software engineering skills with hands-on experience building AI-powered enterprise applications, integrating complex business systems, and designing scalable cloud-native architectures.
Key Responsibilities:
- Design and develop enterprise AI solutions using AWS Bedrock.
- Build AI-powered workflow automation for complex business processes.
- Develop AI agents using AWS Bedrock Agents and Guardrails.
- Integrate enterprise platforms, including ServiceNow and SAP.
- Develop secure REST API integrations across enterprise applications.
- Build Retrieval-Augmented Generation (RAG) pipelines using enterprise knowledge bases.
- Develop document-processing workflows, including PDF extraction and business-rule validation.
- Design cloud-native backend services using AWS.
- Build scalable React interfaces for AI-powered business applications.
- Develop GenAI CI/CD pipelines and automation workflows.
- Implement Responsible AI principles and governance across AI solutions.
- Collaborate with engineering and business teams to continuously improve AI capabilities.
Requirements:
- 5+ years of professional software engineering experience.
- Strong Python development experience.
- Experience building enterprise cloud applications.
- Hands-on experience with AWS cloud services.
- Experience integrating enterprise systems using REST APIs.
- Strong understanding of Generative AI application development.
- Experience working with distributed systems.
- Strong analytical and problem-solving skills.
- Strong written and verbal English communication skills.
Must Have:
- AWS Bedrock Agents
- Guardrails
- Experience integrating enterprise systems through REST APIs.
- Experience with ServiceNow integrations.
- Experience integrating SAP using:
- BAPI
- OData
- Experience designing Retrieval-Augmented Generation (RAG) solutions.
- Experience with OpenSearch.
- Experience working with:
- DynamoDB
- Amazon S3
- Experience with Amazon Cognito.
- Experience developing React applications.
- Experience building enterprise workflow automation.
- Experience implementing Prompt Engineering techniques.
- Experience building GenAI CI/CD pipelines.
- Experience with GitHub Actions.
- Strong understanding of enterprise security and identity management.
Nice to Have:
- Responsible AI implementation experience.
- AI governance experience.
- Document intelligence solutions.
- OCR and PDF extraction experience.
- Enterprise knowledge base integrations.
- SharePoint integrations.
- Event-driven architectures.
- AWS API Gateway.
- EventBridge.
- Infrastructure as Code.
- Enterprise architecture experience.
Compensation
Additional Information
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);
Oowlish Fitness with Total Pass;
Games and Competitions;
You can also apply here:
Website: https://www.oowlish.com/work-with-us/
LinkedIn: https://www.linkedin.com/company/oowlish/jobs/
Instagram: https://www.instagram.com/oowlishtechnology/
Annual salary information is not provided for this position. Explore salary ranges for similar roles in our Salary Directory ›
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