Senior Software Engineer - AI

Envestnet•Berwyn, IL

47d•Hybrid

About The Position

Envestnet is seeking a Senior Software Engineer - AI to join our Technology team. This is a hybrid role, with in-office work required at our Berwyn, PA office location. Envestnet is transforming the way financial advice is delivered through its connected technology, advanced insights, and asset management solutions - backed by industry-leading service and support. Since 1999, Envestnet has served the wealth management industry and today supports trillions in platform assets, serving over a hundred thousand financial advisors. The vast majority of the nation's leading banks, the largest wealth management and brokerage firms, and over 500 of the largest RIAs rely on Envestnet's wealth management platform and solutions to drive business growth, boost productivity, and deliver better financial outcomes for their clients. Envestnet's Strategy: Deliver the industry-leading wealth management platform, powered by advanced data and insights Leverage our scale and efficiencies to serve our clients' needs comprehensively Enable financial advisors to deliver more holistic advice - reflecting a more complete view of their clients' financial lives, and in a more connected environment For more information, please visit www.envestnet.com. Job Summary: We are seeking a hands-on Software Engineer with applied AI experience to develop robust frameworks and workflows that support model calibration, evaluation, and reliable deployment of AI-driven features. This role bridges engineering and machine learning, requiring strong coding skills, a deep understanding of model lifecycle needs, and cross-functional collaboration to deliver production-ready solutions.

Requirements

Proven software engineering experience in production environments.
Proficiency in Python and/or Node.js; .NET experience is a plus.
Hands-on experience with model calibration, evaluation workflows, or similar ML enhancement processes.
Ability to convert ML/DS concepts into reliable, testable, and CI/CD-compatible code.
Experience with AI agent workflows including prompt engineering and orchestration.
Strong testing discipline and documentation skills.
Effective cross-functional communication and delivery coordination.

Nice To Haves

Familiarity with agent/orchestration frameworks (e.g., LangChain, LangGraph, Semantic Kernel).
Experience with vector databases (e.g., Pinecone, FAISS, RedisVector).
Knowledge of Snowflake or similar cloud data platforms.
Experience with Docker and CI/CD pipelines.

Responsibilities

Design and implement calibration frameworks and automated evaluation pipelines for custom models.
Build reusable libraries and CI/CD-friendly tools to ensure model validation is repeatable and auditable.
Translate Data Science requirements into robust engineering deliverables including tests, automation, and monitoring.
Develop agent-based workflows for model-driven applications (e.g., prompt orchestration, tool integration).
Collaborate with Product, Engineering, QA, and Data Science teams to define requirements, coordinate delivery, and validate outcomes.
Maintain high code quality through reviews, testing, and reproducible experiment setups.
Analyze structured and unstructured data to inform engineering decisions.
Adherence to and application of Envestnet legal, compliance, risk, business continuity and administrative policy within the role and department(s) including the timely completion of training & awareness, affirmations and testing as requested.
As part of the responsibilities for this role, you will understand and readily support Envestnet's established corporate business practices, policies, internal controls and procedures designed to create value or minimize risk