AI Solutions Engineer

The AI Solutions Engineer designs builds deploys and operates enterprise AI solutions that improve decisions and automate business processes across O-I. The role combines large language models AI agents enterprise data APIs applications and workflows to deliver secure governed reliable and measurable business outcomes. The engineer partners with business data security and technology teams to move opportunities from concept to production and support adoption at scale.

PRINCIPAL ACCOUNTABILITIES

• The role turns business opportunities into production-ready AI solutions translating into clear AI 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-Is capabilities

Qualifications :

• Bachelors degree in artificial intelligence data science computer science data analytics software engineering information systems business intelligence business analytics 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 (i.e. Claude OpenAI Grok); 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.

Additional Information :

We are an equal opportunity employer and welcome applications from all qualified candidates including people with disabilities.

REPORTING RELATIONSHIPS

Position reports to the Reporting & Analytics Lead.

TRAVEL REQUIREMENTS

Minimal travel required for this position - less than 5%.

Hybrid Work Model: We provide a flexible work arrangement requiring employees to be on-site at our office in Centro Comercial Viva Envigado for 2 days per week with the remaining 3 days working from home.

Remote Work :

No

Employment Type :

Full-time