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.

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

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.