Job Location: 11501 Outlook Street Suite 300, Overland Park, KS
\nContract Role
\nWe are not able to provide visa processing now or in the future for this role.
\nPay Rate: $60.00
\nOur client is seeking a Senior Software Engineer who will serve as a technical driver for Generative AI initiatives within Institutional Banking. This position blends hands-on engineering, applied AI experimentation, and emerging technology evaluation. The engineer will turn early‑stage concepts into functional prototypes, assess new AI capabilities, and help guide viable solutions through governance and into production.

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This role requires someone who is highly autonomous, curious, and comfortable navigating both technical and business conversations. The engineer will act as a trusted advisor on modern AI tools, industry trends, and practical enterprise applications of Generative AI.

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Primary Responsibilities

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Build and deliver prototypes and production-grade AI solutions using modern engineering practices and cloud-native architectures.
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Investigate new GenAI tools, platforms, and vendor offerings to determine their relevance for Institutional Banking use cases.
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Develop AI-powered applications and workflows leveraging LLMs, RAG patterns, agent-based systems, document intelligence, automation platforms, APIs, and cloud services.
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Convert business opportunities into functional software by rapidly experimenting, validating concepts, and demonstrating feasibility.
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Partner with Institutional Banking stakeholders to identify areas where AI can enhance productivity, decision-making, client experience, operational efficiency, or risk mitigation.
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Contribute technical details, documentation, and risk considerations for governance, compliance, and model review processes.
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Support teams preparing governance submissions by articulating solution design, risks, controls, and implementation strategies.
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Monitor industry developments and communicate insights, opportunities, and recommendations to leadership.
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Build integrations between AI platforms, enterprise systems, and cloud environments.
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Establish engineering patterns, reusable components, and best practices for AI solution development.
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Write clean, secure, maintainable, and testable code independently.
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Produce technical documentation, reference architectures, implementation guides, presentations, and demo materials.
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Present prototypes, findings, and solution roadmaps to business and technology leaders.
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Assist with production deployments, troubleshooting, and continuous improvement of GenAI-enabled solutions.
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Stay current on regulatory, governance, security, and risk considerations related to AI and incorporate appropriate safeguards into designs.
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Perform additional duties as needed and adhere to all client policies and professional standards.
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Required Qualifications

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5+ years of professional experience building distributed or web-based software applications.
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Proven experience developing solutions using modern languages, frameworks, APIs, and cloud services.
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Hands-on experience with Generative AI technologies, LLMs, or AI-enabled applications.
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Strong analytical and problem-solving skills with the ability to learn new technologies quickly and operate independently.
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Excellent communication skills, including the ability to translate technical concepts for non-technical audiences.
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Demonstrated ownership of complex technical challenges from concept through delivery.
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Preferred Qualifications

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Experience with GCP and/or Microsoft Azure.
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Background implementing or evaluating RAG architectures, agentic AI workflows, document intelligence tools, or workflow automation platforms.
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Experience working in regulated industries and collaborating with governance, risk, compliance, security, or legal teams.
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Experience assessing vendor technologies and providing recommendations to leadership.
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Prior involvement in innovation programs, proof-of-concept development, or technical experimentation.
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","recruiterSignatureHtml","Anna Karoutsos
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\nThank you for your interest in our client opportunities.
\nPlease complete the following information to ensure we are able to
\nprocess your information correctly.
\n
\nThank you
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