Sr. Engineering Manager, Platform AI

Advisor360•Needham, MA

20d•$215,000 - $240,000

About The Position

We’re looking for a Sr. Engineering Manager to lead a high-caliber team building the reusable AI capabilities that accelerate innovation across our platform. You’ll combine hands-on technical leadership with people management to deliver systems that are scalable, compliant, and production ready. You’ll work closely with architecture, data science, product, and security to: Define and deliver the AI platform roadmap. Build services and frameworks that make AI integration fast, safe, and consistent. Maintain the operational excellence of critical AI systems. Why This Role Matters: Everything we build at Advisor360° — from advisor tools to client-facing apps — will depend on the services your team creates. You won’t just be leading a team; you’ll be shaping the foundation that enables AI to deliver real business value, at scale and with confidence. Why You’ll Love Working Here: It’s not just about work—it’s about building a career and enjoying the ride! We believe in recognizing and rewarding performance. Our compensation package includes competitive base salaries, annual performance-based bonuses, and the chance to share in the equity value you and your colleagues create during your time with the company. We offer comprehensive health benefits, including dental, life and disability insurance. We also trust our employees to manage their time effectively, which is why we offer an unlimited paid time off program to help you perform at your best every day. Join us on this journey. Advisor360° is an equal opportunity employer committed to a diverse workforce. We believe diversity drives innovation and are therefore building a company where people of all backgrounds are truly welcome and included. Everyone is encouraged to bring their unique, authentic selves to work each and every day. The way we see it, we are here to learn from each other. The estimated base salary range for this position is $215,000 – $240,000 + bonus & equity. Advisor360° provides an estimate of the compensation for roles that may be hired as required by state regulations. Compensation may vary based on factors including, but not limited to, individual candidate experience, skills, and qualifications. Additionally, Advisor360° leverages current market data to determine compensation, therefore posted compensation figures are subject to change as new market data becomes available. The salary, other forms of compensation, and benefits information is accurate as of the date of this posting. Advisor360° reserves the right to modify this information at any time, subject to applicable law. While we are interested in qualified applicants who are permanently eligible to work for any employer in the United States, we are unable to sponsor or transfer sponsorship for employment visas at this time. To all recruitment agencies: We do not accept unsolicited agency resumes and are not responsible for any fees related to unsolicited resumes. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Requirements

8+ years in software engineering, including 3+ years in technical leadership or management.
Experience running distributed systems, APIs, and production services at scale.
Strong knowledge of AI/ML architecture, including LLM integration, vector databases, and RAG pipelines.
Proficiency in at least one backend language (C#, Java, Python) and cloud-native development (Azure preferred).
Track record of delivering in structured engineering environments with quality gates.

Nice To Haves

Experience in fintech or regulated industries.
Familiarity with MLOps, experiment tracking, and evaluation tooling.

Responsibilities

Lead, mentor, and grow engineers building the AI backbone of the platform.
Own the technical design and delivery of high-availability AI services.
Set engineering standards for model deployment, orchestration, and evaluation.
Partner with stakeholders to turn business needs into scalable technical solutions.
Stay ahead of AI infrastructure trends and bring the right ones into production.