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Position Summary
The Senior AI Engineer will design and deliver enterprise-grade AI agent solutions that automate document ingestion, orchestrate workflows, and augment decision-making across risk, finance, and governance domains. This role focuses on leveraging and integrating existing LLM platforms to build scalable, production-ready agent systems-embedding AI into engineering and product delivery workflows without developing foundational models. The role requires strong system design, agent orchestration, and pragmatic application of AI to drive measurable operational efficiency.
Required Qualifications
5-8+ years of experience in software engineering, AI solution engineering, or applied data workflows
Proven experience building AI agents or agentic workflows using existing LLMs (task orchestration, tool use, memory, workflow chaining)
Hands-on experience with AI-assisted development tooling (e.g., GitHub Copilot, Copilot Studio, or equivalent) to accelerate engineering productivity and solution design
Strong understanding of RAG patterns, document ingestion, and unstructured data processing
Experience designing end-to-end AI workflows (prompting, retrieval, tool integration, output validation)
Proficiency in prompt engineering, grounding, and guardrails to ensure reliability and control
Strong Python engineering skills and experience building production-grade services and APIs
Experience with cloud-native architectures and integration into enterprise environments and tooling
Ability to define and measure outcomes (efficiency gains, cost reduction, adoption metrics)
Strong stakeholder engagement skills and ability to translate business problems into pragmatic AI solutions
Desired Qualifications
Experience designing multi-agent or orchestrated agent systems for enterprise workflows
Experience building interactive copilots or embedded AI assistants within engineering or operational tools
Familiarity with agent evaluation techniques, human-in-the-loop validation, and iterative improvement loops
Experience applying AI to workflow automation, operational efficiency, or service delivery transformation
Knowledge of Responsible AI, governance, and enterprise risk considerations
Track record of driving AI adoption across engineering or product organizations
Experience operating in product-centric, outcome-driven delivery models
Dexian stands at the forefront of Talent + Technology solutions with a presence spanning more than 70 locations worldwide and a team exceeding 10,000 professionals. As one of the largest technology and professional staffing companies and one of the largest minority-owned staffing companies in the United States, Dexian combines over 30 years of industry expertise with cutting-edge technologies to deliver comprehensive global services and support.
Dexian connects the right talent and the right technology with the right organizations to deliver trajectory-changing results that help everyone achieve their ambitions and goals. To learn more, please visit .
Dexian is an Equal Opportunity Employer that recruits and hires qualified candidates without regard to race, religion, sex, sexual orientation, gender identity, age, national origin, ancestry, citizenship, disability, or veteran status.
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