AI Engineer I - Hybrid

The Applied AI Engineer will help design, develop, and deploy generative and agent-based AI solutions throughout the organization. Work centers on real-world production use cases, focusing on practical AI applications such as agentic workflows, retrieval-augmented generation (RAG), prompt engineering, and AI-driven automation. The role places a strong emphasis on moving projects from experimentation to reliable, well-governed production environments. The AI Engineer is a hands-on, builder-focused role and collaborates closely with software engineers, data engineers, product owners, and business stakeholders to integrate AI capabilities into operational workflows across Tolmar., Applied AI & Agentic Solutions

• Build and enhance AI-powered applications and agents that support real business workflows (e.g., document analysis, task delegation, knowledge retrieval, decision support).
• Implement agentic patterns such as tool-calling, multi-step reasoning, and workflow orchestration in collaboration with senior engineers.
• Develop and manage prompt strategies, prompt templates, and prompt evaluation techniques for reliability and reuse.
• Implement retrieval-augmented generation (RAG) using enterprise data sources and vector databases.

Engineering & Production Readiness

• Help transition AI solutions from prototype to production, focusing on reliability, observability, and cost awareness.
• Package AI capabilities as APIs, services, or integrations consumable by other applications.
• Contribute to CI/CD pipelines and deployment patterns for AI applications (model updates, prompt changes, configuration).
• Monitor AI solutions in production and assist with troubleshooting performance, accuracy, or usability issues.

Data, Integration & Platform Collaboration

• Work with data engineers to integrate AI solutions with governed data sources (e.g., Fabric, Dataverse, SQL).
• Collaborate with platform teams on Azure-based AI services, Copilot integrations, and Power Platform solutions.
• Support integration of AI into existing enterprise systems (ERP, content repositories, workflow tools).

Evaluation, Learning & Governance Awareness

• Participate in model and solution evaluation, including accuracy, latency, cost, and usability.
• Support testing and validation activities aligned with internal AI governance standards.
• Stay current with evolving AI tools, frameworks, and best practices and contribute ideas back to the team.
• Contribute to internal documentation, reusable patterns, and AI communities of practice.
• Perform other related duties as assigned., * Center on People: We commit to support the well-being of our patients and treat our employees and those we serve as valued partners. By placing people at the heart of our actions, we actively engage, invigorate, acquire knowledge, and grow together with an enterprise-wide mindset that lifts the whole organization.
• Are Proactive & Agile: We embody a culture of engagement and action. With a hands-on approach, we fearlessly adapt to change. We anticipate, respond swiftly and efficiently to ignite a spirit that propels us towards extraordinary outcomes.
• Act Ethically: We are committed to consistently conducting our business in an ethical, compliant, and socially aware manner, in line with our purpose of positively impacting lives. We actively cultivate diversity, equity, inclusion & sustainability in our workplace.
• Constantly Improve: We are committed to a proactive, collaborative effort to enhance our products, systems, processes, and services by reducing waste, increasing efficiency, and improving quality. We strive to be innovative, embracing calculated risk-taking that drives better ways of working.
• Are Accountable: We think, act, and communicate with honesty, transparency, and clarity in alignment with our core values. We don't compromise our values for near term gain. We take accountability & ownership of our work, actions, successes, and setbacks. We strive to deliver our best as we shape the future.

• Understanding of emerging standards for providing context to AI models, such as Model Context Protocol (MCP), and experience developing reusable "agent skills" to enhance model capabilities
• Familiarity with cloud platforms (Microsoft ecosystem (Azure/Fabric) preferred)
• Strong curiosity, learning velocity, and willingness to experiment responsibly
• Ability to communicate clearly with both technical and non-technical partners
• Proficiency in designing, implementing, and troubleshooting AI solutions within enterprise environments.
• Ability to analyze and interpret complex data sets, applying statistical and machine learning techniques to derive actionable insights.
• Experience with integrating AI models into business processes, workflow tools, and content management systems.
• Knowledge of data governance, privacy, and ethical considerations in AI development and deployment.
• Competency in testing, validating, and monitoring AI models for performance, reliability, and compliance.
• Skill in preparing technical documentation and creating reusable frameworks or patterns for AI projects.
• Ability to collaborate effectively with cross-functional teams, including data engineers, platform specialists, and business stakeholders.
• Adaptability to rapidly evolving AI technologies, frameworks, and industry best practices.
• Strong problem-solving and critical thinking skills, with a focus on continuous improvement and innovation.
• Demonstrated ability to manage multiple projects or tasks concurrently, prioritizing effectively to meet deadlines., * Bachelor's degree bachelor's business administration, science, technology, engineering, and mathematics (STEM); computer science; artificial intelligence; data science; information systems or related field; or equivalent work experience.
• Five years of IT experience, professional experience or demonstrated hands-on project work in software engineering, applied AI, Data engineering or intelligent automation.

• Working conditions are consistent with a normal office environment and/or remotely from home office.

· Some travel might be required.

Compensation and Benefits

• Annual pay range $125,000 to $135,000 depending on experience
• Bonus Eligible
• Benefits information: https://www.tolmar.com/careers/employee-benefits

Tolmar compensation programs are focused on equitable, fair pay practices including market-based base pay and a strong benefits package. The final compensation offered may vary from the posted range based on the selected candidates qualifications and experience.