Sr Software Eng - Gen AI Innovation

Burtch Works; Overland Park (KS); Hybrid; USD 140,000 - 190,000; Full time

Job summary

Burtch Works is seeking a Senior Software Engineer in Overland Park, KS, to lead Generative AI innovation for an institutional banking client. The role blends hands-on software engineering with applied AI research, building prototypes and guiding them through governance to production.

You will collaborate with stakeholders, evaluate AI platforms, and deliver scalable AI-enabled workflows using modern cloud services and APIs. Strong communication and ownership are essential.

Qualifications

• 5+ years of professional software engineering experience.
• Experience with Java or Python, APIs, and cloud services.
• Hands-on Generative AI experience with LLMs.
• Strong problem-solving and ability to navigate ambiguity.
• Excellent written and verbal communication skills.
• Ownership of complex problems from concept through implementation.

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 for Institutional Banking use cases.
• Develop AI-enabled applications and workflows using LLMs, RAG, agentic AI frameworks, document intelligence, workflow automation, APIs, and cloud services.
• Transform business ideas into working software by rapidly prototyping and conducting technical experiments.
• Collaborate with stakeholders to identify high-value opportunities where AI improves productivity and decision-making.
• Provide technical input for governance, risk, and compliance processes related to AI initiatives.

Skills

Generative AI

Java

Python

Cloud services

LLMs

Prototyping

Technical leadership

Documentation

Education

Bachelor's Degree

Tools

APIs

Job description

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 (Java, Python), 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.