Senior Software Engineer-Tech Ex AI Assets Foundry Team

West Monroe•Los Angeles, NY

3d•Hybrid

About The Position

West Monroe is seeking a Senior Software Engineer to join the Tech Ex AI Assets Foundry Team. This role involves working with the internal Labs product team to develop proprietary software assets and AI capabilities that enhance consultant effectiveness and efficiency. The position focuses on building reusable, scalable, and secure AI-enabled applications and platform components in collaboration with product owners, designers, architects, governance, and engineering teammates.

Requirements

Bachelor's degree in a relevant field preferred, or equivalent experience.
5+ years of experience in full-stack software development with demonstrated ability to deliver production-quality software.
Strong working knowledge of object-oriented concepts, software design principles, algorithms, data structures, and design patterns.
Hands-on experience with modern application development using cloud services, APIs, databases, and CI/CD delivery practices.
Practical experience building or integrating AI, machine learning, Generative AI, or data-driven capabilities into software products.
Comfortable working within a fast-paced, collaborative Agile/Scrum product environment.
Able to follow architecture direction, contribute engineering design input, and make sound technical tradeoffs.
Strong problem-solving, debugging, communication, and documentation skills.
Excellent communication skills with internal product, business, and engineering stakeholders.
Smart, versatile, and passionate about delivering high-quality code and learning new technologies and languages.
Experience coaching and mentoring junior developers.

Nice To Haves

Direct experience with Azure OpenAI, Databricks, LLM APIs, RAG, embeddings, or model evaluation is strongly preferred.

Responsibilities

Design, develop, test, deploy, and support full-stack software applications and reusable asset components for the Tech Ex AI Assets portfolio.
Build and integrate Generative AI capabilities into software products, including APIs, prompt workflows, retrieval-augmented generation, model integration, and evaluation patterns.
Translate product requirements, user stories, and acceptance criteria into maintainable, reliable, and secure code.
Participate in Agile ceremonies and contribute to iterative delivery, estimation, backlog refinement, sprint planning, demos, and retrospectives.
Partner with architects and senior technical leaders to implement established architecture patterns and provide engineering recommendations.
Contribute to engineering quality through code reviews, unit and integration testing, CI/CD practices, documentation, observability, and production support.
Apply responsible AI, data privacy, security, and compliance considerations when building AI-enabled features and internal software assets.
Mentor junior developers, share engineering best practices, and help raise the overall quality and consistency of the asset development team.
Troubleshoot defects, performance issues, and integration challenges across front-end, back-end, data, cloud, and AI service layers.