We are seeking an AI Engineer to design, build, and scale AI-powered solutions across the enterprise. This role sits within the AI Engineering function and is responsible for translating business needs into production-grade AI systems, with a primary focus on LLM-based solutions (e.g., ChatGPT/OpenAI) while maintaining flexibility to integrate emerging AI platforms.

You will work closely with AI Enablement, IT, and business stakeholders to deliver secure, scalable, and high-impact AI capabilities that improve productivity and drive measurable business outcomes.

• Design and implement AI-powered workflows and applications using LLMs (ChatGPT/OpenAI, and future platforms) 
• Build and maintain agent-based systems, orchestration layers, and prompt frameworks 
• Develop APIs and services to integrate AI into enterprise systems (e.g., ServiceNow, internal tools, data platforms) 
• Implement RAG (Retrieval-Augmented Generation) architectures using enterprise data sources 
• Ensure solutions are modular, reusable, and scalable 
• Define and implement AI system architecture, including model selection, routing, and orchestration 
• Integrate AI capabilities into existing enterprise ecosystems 
• Partner with security and data teams to enforce: 
• Data boundaries 
• Access controls 
• Compliance requirements 
• Critical Principle: AI architecture, data boundaries, and model control remain internal and are never outsourced.
• Develop and maintain enterprise prompt libraries and reusable frameworks 
• Optimize prompts and agent flows for: 
• Accuracy 
• Consistency 
• Cost efficiency 
• Collaborate with AI Enablement to standardize prompt patterns across teams 
• Design and execute evaluation frameworks (e.g., OpenAI Evals, DeepEval) 
• Build automated pipelines to test: 
• Accuracy 
• Reliability 
• Edge-case handling 
• Continuously monitor and improve model performance in production 
• Partner with business stakeholders to: 
• Identify high-value AI use cases 
• Translate requirements into technical solutions 
• Rapidly prototype and iterate on AI solutions 

• Bachelor’s degree in Computer Science, Computer Engineering, or related field 
• 3-4 years of experience in software engineering or AI/ML engineering (flexible based on capability) 
• Hands-on experience building AI/LLM-based applications 
• Programming: Python (required), JavaScript/TypeScript (preferred) 
• Frameworks & Tools: 
• LLM tooling: OpenAI APIs, LangChain/LangGraph, Flowise (or similar) 
• Backend: FastAPI, Node.js 
• Frontend (nice to have): React 
• Data & AI: 
• Pandas, NumPy, basic ML concepts 
• Experience with RAG pipelines and vector databases 
• DevOps & Engineering: 
• Git/GitHub 
• API design and integration 
• Containerization (Docker preferred) 
• Experience building AI agents, chatflows, or automation workflows 
• Familiarity with evaluation frameworks and testing methodologies 
• Understanding of prompt engineering and LLM behavior 
• Experience integrating AI into enterprise environments 
• Exposure to ServiceNow, ITSM workflows, or enterprise support systems 
• Knowledge of data pipelines and knowledge management systems 
• Familiarity with AI governance, security, and compliance considerations 
• Experience working in Agile/Scrum environments