Enterprise AI Solutions Engineer (Hybrid)

O-I; Envigado; Hybrid; COP 110,000,000 - 170,000,000; Full time

Job summary

O-I Glass in Envigado, Colombia seeks an AI Solutions Engineer to design, build, deploy and operate enterprise AI solutions across the organization. You will work with large language models, AI agents, enterprise data platforms, APIs and workflows to deliver secure, governed and measurable business outcomes.

The role partners with business, data, security and technology teams to move opportunities from concept to production, ensuring governance, privacy and responsible AI standards are applied

Qualifications

• Bachelor's degree in artificial intelligence, data science, computer science, data analytics, software engineering, information systems, business intelligence or related disciplines.
• At least three years of relevant experience in AI engineering, software engineering, data engineering, analytics engineering, automation, or a closely related discipline.
• Hands-on experience developing and deploying generative AI applications, AI agents, retrieval-augmented generation, or AI-enabled workflows and decision automation in a production environment.
• Proficiency in Python and SQL; experience with APIs, software development practices, source control, testing, and CI/CD.
• Experience with Azure and Microsoft AI technologies, such as AI Foundry, Copilot or comparable technologies; working knowledge of Microsoft Fabric or comparable Lakehouse and data-platform technologies.
• Understanding of orchestration patterns, tool use, memory, knowledge retrieval, evaluation, guardrails, observability, and human approval patterns for AI agents.
• Knowledge of enterprise data integration, data lakes, lakehouses, data warehouses, semantic models, dimensional modeling, ontologies, knowledge graphs, data mining, workflow automation, decision intelligence.
• Understanding of identity, access control, data privacy, cybersecurity, responsible AI, and audit requirements for enterprise solutions.

Responsibilities

• Turn business opportunities into production-ready AI solutions with clear use cases, requirements, business cases, success measures, and implementation plans.
• Design and build AI agents, agentic workflows, AI-enhanced applications, decision-support solutions, and feedback loops for defined business processes.
• Configure agent instructions, reasoning patterns, tools, memory, enterprise knowledge retrieval, structured outputs, and human-in-the-loop controls.
• Determine when to use a single agent, multi-agent orchestration, traditional automation, analytics, or a combination of approaches.
• Integrate AI solutions with Microsoft Fabric, enterprise data platforms, APIs, applications, documents, and business systems.
• Develop reusable platform components, including agent templates, prompt patterns, tool libraries, API and MCP connectors, authentication patterns, monitoring capabilities, and source control frameworks with automated testing and deployment.
• Ensure solutions are scalable, secure, reliable, observable, and aligned with enterprise architecture, data governance, cybersecurity, privacy, and responsible AI requirements.
• Apply authorization boundaries, auditability, approval controls, and safeguards that prevent inappropriate autonomous actions, especially for consequential business transactions.
• Elaborate data and business processes mining analysis to validate opportunities, identify root causes, and recommend practical implementation alternatives.
• Monitor solution quality, data quality, adoption, business value, and operational performance; refine solutions based on evidence and user feedback.
• Document solution designs, technical specifications, configurations, tests, controls, deployment procedures, training materials, and support requirements.
• Support change management, user education, and responsible adoption of AI across the organization.
• Manage multiple assignments, communicate effort estimates, status, and risks clearly, and provide production support during critical periods.
• Learn and maintain comprehensive understanding of business functions and processes.
• Stay current on relevant AI, agentic AI, automation, data, and software-engineering practices and recommend improvements to O-I’s capabilities

Skills

Analytical thinking

Problem solving

Communication

Team collaboration

Education

Bachelors in AI/CS

Tools

Python

SQL

APIs

CI/CD

Azure

Microsoft Fabric

Data lakes/Lakehouses

Job description

O-I Glass in Envigado, Colombia seeks an AI Solutions Engineer to design, build, deploy and operate enterprise AI solutions across the organization. You will work with large language models, AI agents, enterprise data platforms, APIs and workflows to deliver secure, governed and measurable business outcomes.

The role partners with business, data, security and technology teams to move opportunities from concept to production, ensuring governance, privacy and responsible AI standards are applied