AI Agent Developer & Integration Specialist
About The Position
Ceres Environmental Services is seeking an AI Agent Developer & Integration Specialist within its Information Technology organization. The role leads the design, development, deployment, support, and continuous improvement of enterprise AI agents and intelligent automation solutions. It bridges business stakeholders and technology teams, partnering with subject matter experts to identify opportunities, gather requirements, build solutions, and encourage user adoption. The position owns AI initiatives from concept through production, with a focus on security, scalability, reliability, governance, and alignment with business objectives. It has no direct people-management responsibilities but requires cross-functional leadership and collaboration. During the first 12 months, success will be demonstrated by deploying multiple business AI solutions, delivering measurable efficiency gains, achieving strong stakeholder adoption, and establishing scalable AI governance and best practices. The work combines software development, AI innovation, business process improvement, and stakeholder engagement. The specialist will manage multiple projects, balance technical development with business partnership, and adapt to changing priorities. Projects may range from rapid prototyping to structured development, governance reviews, and enterprise deployment planning. Periodic travel to company locations throughout the United States may be required for collaboration, implementations, workshops, or training. The role is based in Sarasota, Florida, or Houston, Texas, and reports to the CIO. Ceres describes itself as a crisis management, rapid response, and disaster recovery organization focused on helping communities recover and rebuild. It offers a collaborative, mission-driven culture, professional growth opportunities, and the opportunity to help shape AI capabilities across a national organization.
Requirements
- Bachelor's degree in Computer Science, Information Systems, Data Science, Software Engineering, or a related technical field; equivalent experience may be considered.
- At least three years of experience developing AI-enabled applications, enterprise automation solutions, or workflow systems.
- Experience building and deploying AI agents, large language model applications, or intelligent automation solutions.
- Proficiency in Python and/or TypeScript/Node.js, including API integration and automation development.
- Experience with AI development platforms or frameworks such as Microsoft Copilot Studio, Semantic Kernel, LangChain, LlamaIndex, CrewAI, OpenAI, Anthropic Claude, Google Gemini, or similar technologies.
- Ability to translate complex business requirements into scalable technical solutions and communicate effectively with technical and non-technical stakeholders.
- Ability to sit, stand, and work at a computer for extended periods; communicate in person, virtually, and by telephone; and lift and carry up to 20 pounds, with or without reasonable accommodation.
- Ability to travel periodically to company offices, operational locations, and training events.
- Commitment to following company safety standards, information security requirements, and operational protocols.
Nice To Haves
- Experience with enterprise cloud platforms such as Microsoft Azure, Amazon Web Services (AWS), or Google Cloud Platform (GCP).
- Familiarity with retrieval-augmented generation (RAG), vector databases, prompt engineering, and AI evaluation methodologies.
- Experience with MLOps or LLMOps tools for monitoring, testing, and optimizing AI applications.
- Knowledge of enterprise business systems, including ERP, CRM, finance, operations, or project management platforms.
Responsibilities
- Lead the design, development, testing, deployment, and support of enterprise AI agents and intelligent automation solutions.
- Partner with business leaders and subject matter experts to identify process-improvement and automation opportunities.
- Facilitate requirements-gathering sessions and document business, technical, and operational needs.
- Build AI agents using approved enterprise AI platforms, frameworks, and development tools.
- Integrate AI solutions with enterprise applications, databases, APIs, and data sources.
- Develop prompts, workflows, orchestration logic, retrieval systems, and business process automations.
- Conduct functional, integration, performance, and user acceptance testing.
- Ensure solutions comply with organizational security, privacy, governance, and Responsible AI standards.
- Monitor deployed AI agents, analyze performance metrics, and implement continuous improvements.
- Manage the AI agent portfolio, including demand intake, prioritization, lifecycle management, adoption tracking, and ROI measurement.
- Collaborate across departments and periodically travel to support implementations, workshops, and training.
Benefits
- Comprehensive benefits package including medical, dental, vision, 401(k) with company match, paid time off, and travel opportunities.
- Professional growth and advancement opportunities.
- Collaborative, mission-driven culture.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
