AI Engineer and Project Lead

**Job Title:** AI Engineer and Project Lead **Reports to**: Chief Technology Officer **Supervises: N/A** **Position Summary:** The **AI Engineer and Project Lead** is responsible for designing, developing, implementing, and optimizing artificial intelligence solutions that support operational efficiency, automation, and data driven decision making across the organization. This role partners with engineering, and product teams to build scalable machine learning models, integrate AI tools, automate workflows, and ensure the successful delivery of production grade AI systems. The ideal candidate is innovative, detail oriented, and able to translate complex business needs into reliable technical solutions. **Key Performance Areas & Key Performance Indicators:** **AI Model Development & Deployment: (45%)** - Design, build, and deploy agentic AI systems that perform real tasks end-to-end - Implement multi-step workflows with tool usage, structured outputs, and state handling - Ensure reliability through retries, fallbacks, and guardrails - Optimize for latency, cost, and accuracy in production environments - Maintain clear system-level documentation and evaluation metrics **** **AI System Integration & Automation: (30%)** - Build and integrate AI systems into internal and external platforms (EHRs, APIs, documents) - Develop agentic workflows that execute across multiple systems reliably - Continuously improve automation coverage and reduce human dependency - Monitor system performance and proactively resolve issues - Ensure systems deliver real operational efficiency gains - Develop and train machine learning **** **Collaboration & Requirements Gathering: (25%)** - Collaborate with product, engineering, and operations to define AI solutions - Translate ambiguous business problems into concrete system designs - Take ownership of projects from concept to production - Communicate tradeoffs, risks, and outcomes clearly - Contribute to internal standards for agentic AI systems **** **Minimum Qualifications** **Education:** - Bachelor’s Degree in Computer Science, Engineering, or related field required **Required Qualifications:** - 4+ years of software engineering or AI systems experience - Strong programming skills in Python - Experience training or fine-tuning machine learning models - Experience deploying AI models into production environments - Familiarity with open-source LLM frameworks and tools - Experience with locally based LLMs and software **Preferred Qualifications:** - Experience with parameter-efficient fine-tuning (e.g., LoRA) - Experience with agent-based or workflow automation systems - Understanding of data pipelines and evaluation frameworks **Competencies** **Operations Knowledge –** Thoroughly understands the operational procedures for his/her position and how they affect or relate to other departments in the company. Serves as an expert for others. **Product Knowledge –** Has a broad knowledge of the products and services offered. Is aware of the features and pricing of the products and services they support. Is able to recommend the appropriate product or service that will meet the customer’s needs. **Compliance Knowledge –** Extensive understanding of general and department-specific regulations. Serves as a compliance resource for the team. **Sales & Service –** Guides the team to achieve goals while ensuring excellent customer service. Maintains professional communication and positive customer relationships **Teamwork –** Able to build morale and group commitments to goals and objectives; Balances team and individual responsibilities; Exhibits objectivity and openness to others’ views; Gives and welcomes feedback; Contributes to building a positive team spirit; Puts success of team above own interests; Supports everyone’s efforts to succeed. **Computer Skills** – Demonstrates a solid understanding of the technology utilized in his/her position. Consistently looks for ways to use technology to create efficiencies…