Senior AI Engineer

• Design, build, and deploy end to end, multi step agentic AI systems that replace or reimagine DBS business workflows.
• Architect agent pipelines using tool calling, memory, retrieval augmented generation, and orchestration patterns appropriate to workflow risk and complexity.
• Implement human in the loop and escalation mechanisms for high risk or low confidence decisions.
• Integrate agentic systems with enterprise data sources, internal APIs, and third party tools in compliance with security and data governance policies.
• Ensure strong data grounding, output quality, reliability, and graceful failure behavior in production systems.
• Select appropriate GenAI frameworks and manage LLM integrations, prompts, and model versions.
• Own delivery end to end from rapid prototype through pilot and production deployment.
• Work closely with process owners, domain experts, and governance partners to deliver trusted, usable solutions.

5+ years in software or related domain, featuring 2+ years specialized in AI/ML, LLM solutions, and hands-on development of agentic systems.

Strong proficiency in Python, REST APIs, prompt engineering, RAG pipelines, and agent orchestration, with experience using LangGraph (or similar) for stateful, tool-driven execution.

Experience deploying and operating LLM/agent workflows in production, including monitoring and evaluation.

Working knowledge of Azure based cloud environments, including Azure AI Foundry and Databricks, in enterprise settings. Self-directed learner with strong problem-solving skills and practical business judgment.

Benefit packages for this role will start on the 1st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.