Applied AI Engineer
Listed on 2026-08-03
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Software Development
AI Engineer (Applied/Software)
Description
What is the Opportunity?At Ovivo, we are advancing water and wastewater treatment through innovation, digital transformation, and intelligent automation. We are seeking an Applied AI Engineer to help identify, design, and deploy practical artificial intelligence solutions that improve how we work across the organization. This is a highly visible, impact-driven role where you will partner with teams across Engineering, Business Development, Manufacturing, Field Service, Finance, and IT to deliver real-world AI use cases with measurable outcomes.
You will focus on high-value opportunities such as document intelligence, workflow automation, and data-driven insights-helping accelerate decision-making, improve productivity, and enhance customer outcomes.
If you are passionate about applying AI to solve real business problems-not just building models but delivering adoption and results-this is an opportunity to shape Ovivo's AI journey from the ground up. Your work will focus on practical solutions that improve how Ovivo designs, sells, builds, delivers, and services water and wastewater treatment systems. Through intelligent automation, knowledge management, and data-driven decision making, you will help our teams work more effectively so we can better fulfill our mission of bringing water to life and delivering exceptional outcomes for our customers.
PositionSummary
The Applied AI Engineer is responsible for identifying, developing, and deploying AI-enabled solutions based on identified business needs that drive measurable business value across the organization. This role emphasizes rapid prototyping, practical implementation, and strong collaboration with business stakeholders to improve efficiency, decision-making, and operational performance. The successful candidate will focus on document intelligence, workflow automation, and enterprise data integration-delivering scalable solutions with high adoption and impact.
Thisposition is located in Round Rock, Texas.
Key Responsibilities
- Design and deliver AI solutions, including LLM-based applications, enterprise search, and document intelligence workflows
- Act as an internal AI consultant by facilitating discovery workshops, identifying opportunities across business functions, building stakeholder alignment, and leading change management efforts that drive adoption and measurable business outcomes
- Build proof-of-value prototypes that demonstrate quick wins and measurable business impact
- Develop and maintain AI systems across data ingestion, data processing, model integration, evaluation, deployment, APIs, and user-facing interfaces where applicable
- Integrate AI solutions with enterprise systems, data platforms, and APIs
- Ensure solutions are grounded in trusted, governed enterprise data
- Partner with IT and security to align with architecture, access controls, and cybersecurity standards
- Apply responsible AI practices, including testing, monitoring, data privacy, and human oversight
- Communicate AI capabilities, limitations, and business value to both technical and non-technical stakeholders
- Support adoption by helping stakeholders understand how AI fits into existing business processes
- Bachelor's degree in Computer Science, Software Engineering, Data Science, or a related technical field (or equivalent practical experience)
- 3+ years of experience in software engineering, data engineering, AI/ML engineering, or a related role
- Hands-on experience building, testing, and deploying AI or machine learning solutions
- Experience translating business problems into technical solutions and working with cross-functional stakeholders
- Experience leading discovery sessions, stakeholder engagement, change management initiatives, or technology adoption efforts in a business environment
- Proficiency in using tools such as Python or similar technologies and API-based software development
- Experience with generative AI, including large language models, prompt engineering, and embeddings
- Strong understanding of SQL, enterprise data platforms, and data governance
- Experience building AI applications, document…
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