Sr Software Eng - GenAI

Job Title: Senior Software Engineer – Generative AI Innovation Location: Overland Park, KS (Hybrid – 2 Days In Office) Contract Duration: 08/10/2026 – 02/10/2027 Job Summary The Senior Software Engineer – Generative AI Innovation serves as a hands‑on technical leader responsible for identifying, evaluating, prototyping, and delivering Generative AI solutions that create business value for an Institutional Banking organization. This role combines software engineering, applied AI research, solution prototyping, and emerging technology evaluation to accelerate the adoption of AI‑driven capabilities. The successful candidate will work closely with business stakeholders, technology partners, and governance teams to transform ideas into working proofs of concept, guide solutions through governance processes, and help transition validated solutions into production. This individual is expected to operate with a high degree of autonomy, technical curiosity, and initiative while serving as a trusted advisor on emerging AI technologies and practical applications of Generative AI. Key Responsibilities Design, build, and deploy proof‑of‑concept and production‑ready Generative AI solutions using modern software engineering practices and cloud‑native technologies. Evaluate, prototype, and validate emerging Generative AI capabilities, platforms, tools, and vendors to determine their applicability and value for Institutional Banking use cases. Develop AI‑enabled applications and workflows using LLMs, RAG, agentic AI frameworks, document intelligence solutions, workflow automation platforms, APIs, and cloud services. Transform business ideas into working software solutions by rapidly building prototypes, conducting technical experiments, and demonstrating viability. Collaborate with business stakeholders to identify high‑value opportunities where AI can improve productivity, decision‑making, client service, operational efficiency, or risk management. Provide technical input and supporting documentation for governance, risk, compliance, model review, and technology approval processes related to AI initiatives. Research industry trends, vendor capabilities, and emerging developments in Generative AI and communicate findings and recommendations to technology and business leadership. Design and implement integrations between AI platforms, enterprise systems, and cloud services. Establish and promote engineering standards, reusable patterns, and best practices for AI solution development. Independently develop clean, maintainable, secure, and testable code. Create technical documentation, reference architectures, implementation guidance, and demonstration materials to support solution adoption and knowledge sharing. Present prototypes, findings, recommendations, and solution roadmaps to business stakeholders and senior managers. Support production deployments, troubleshooting, and continuous improvement efforts for GenAI‑enabled solutions. Maintain awareness of evolving GenAI‑related regulatory, governance, security, and risk management considerations and incorporate appropriate controls into solution designs. Requirements Education: Bachelor’s Degree or equivalent experience preferred. 5+ years of professional software engineering experience developing web‑based or distributed applications. Demonstrated experience building software solutions using modern programming languages, frameworks, APIs, and cloud services. Demonstrated hands‑on experience working with Generative AI technologies, large language models, AI‑enabled applications, or related emerging technologies. Strong problem‑solving skills and ability to independently navigate ambiguity and rapidly learn new technologies. Excellent written and verbal communication skills with the ability to explain technical concepts to non‑technical audiences. Proven ability to take ownership of complex problems and drive solutions from concept through implementation. Preferred Qualifications Experience with cloud platforms such as Google Cloud Platform (GCP) and/or Microsoft Azure. Experience implementing or evaluating RAG, agentic AI workflows, document intelligence solutions, or workflow automation platforms. Experience operating within regulated industries and partnering with governance, risk, compliance, security, or legal functions. Experience evaluating vendor technologies and making technical recommendations to business and technology leadership. Experience supporting proof‑of‑concept development, experimentation, and innovation initiatives. #J-18808-Ljbffr Burtch Works