AI Engineer

• Design and build agentic AI systems that connect multiple LLMs (e.g., OpenAI GPT, Anthropic Claude, Salesforce Agentforce) into cohesive, goal-oriented workflows supporting enterprise use cases.
• Lead the end-to-end development lifecycle of AI workflows, from prototyping and experimentation to production deployment, monitoring, and continuous improvement.
• Integrate AI models with enterprise data and platforms including Salesforce, Workday, and internal APIs to deliver context-aware, compliant, and secure automation.
• Architect orchestration frameworks that enable dynamic task routing, decision reasoning, and multi-agent collaboration across systems and teams.
• Establish best practices for AI safety, observability, and governance in collaboration with Security, GRC, and Compliance teams to ensure responsible AI development aligned with emerging standards such as ISO 42001.
• Drive technical alignment between AI experimentation and enterprise production systems, ensuring scalability, reliability, and performance of deployed AI agents.
• Partner with Product and Engineering leadership to identify high-impact automation opportunities that improve productivity, insight generation, and decision quality across the organization.
• Mentor and guide cross-functional teams on AI design patterns, prompt engineering, and system integration, fostering a culture of innovation and technical excellence.
• Stay ahead of industry trends in LLMs, retrieval-augmented generation (RAG), and agentic architectures to continuously evolve BetterUp’s Enterprise AI strategy.

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