Opportunity ML Platform & Ops work from LinkedIn, X, Reddit and Upwork, in one list. Find me work
aimlroles

Sr. Software Engineer - AI Platform

Addepar addepar.com Open · verified Nov 1, 2026
New York Senior ML Platform & Ops

At a glance

Senior ML Platform & Ops role at Addepar. New York · $188,000–$235,000 base.

SalaryStated by Addepar
$188,000 – $235,000
Base salary for this role, in USD per year, as published in the posting.
This role, from AddeparOur estimate for the market: $172,063–$244,650Median $211,500
The range includes the market median of $211,500 for senior ML platform & ops roles in New York.
Worked out from 16 postings that stated pay, median $211,500. Last updated Oct 27, 2026.
RoleML Platform & Ops
SenioritySenior
LocationNew York
Base pay$188,000–$235,000
PostedOct 27, 2026 · 5d ago
Role brief

aimlroles summary, based on the employer's posting.

What you'll do

  • Take AI products from early prototypes through launch as scalable production services
  • Build platform components for LLMs, agent frameworks, and agents that use tools across platforms
  • Set technical standards and operational practices for AI products, then improve them using metrics and user feedback
  • Assess emerging AI technologies and work with product and engineering partners to turn goals into technical plans

What you bring

  • At least three years of backend engineering experience, including work with technologies such as Python, Go, gRPC, AWS or Kubernetes
  • A record of delivering complex production systems and shipping or maintaining AI features, or substantial personal AI projects
  • A computer science, statistics, mathematics or other quantitative degree, or equivalent experience

Who this fits

This suits a senior engineer who takes products from build through production and prefers quick delivery with ongoing iteration. You must be authorized to work in the United States for any employer without current or future visa sponsorship, and able to start work there on your first day.

From the employer

Who We Are

Addepar is a global data and AI platform empowering investment professionals to turn complex financial information into actionable intelligence. Addepar unifies portfolio, market and client data in a total portfolio view and delivers AI-powered insights within investment and client workflows. More than 1,500 firms in 60 countries use Addepar to manage and advise on nearly $10 trillion in assets. Its open platform integrates with 650 software, data and consulting partners to power end-to-end investment operations across firms of all sizes and levels of complexity. Addepar supports clients worldwide with offices in New York City, Salt Lake City, São Paulo, London, Edinburgh, Geneva, Warsaw, Dubai, Pune and Singapore.

The Role

We are seeking a Senior AI Engineer to join our AI Platform team. The AI Platform team is focused on enabling and building disruptive, innovative solutions to transform the wealth technology landscape with AI across our product suite and is growing quickly.

As a Senior AI Engineer, you will be responsible for architecting, leading, and driving the execution of the core AI capabilities that power our platform. This is a high-impact role for an engineer who thrives on the frontier of applied AI and maintains a relentless focus on shipping. You will not just work with LLMs and agentic frameworks; you will own the end-to-end delivery of AI-native products, ensuring that cutting-edge AI systems are hardened into robust, scalable, and high-performance production systems.

Applicants must be legally authorized to work in the United States for any employer without requiring current or future visa sponsorship (for example, employment-based visas such as H-1B, F-1/OPT, or similar), and must be authorized to begin work in the U.S. on their first day of employment.

What You’ll Do

  • Drive the end-to-end execution and delivery of AI-native products, moving from initial prototype to scalable production services with high velocity
  • Architect, build, and productionize core components of our AI platform – including:
    • LLMs and the surrounding ecosystem (e.g., vector DBs, prompt tuning, etc.)
    • Agentic frameworks
    • Core agent capabilities like MCP/ cross-platform tool use, web browsing, computer use
  • Enforce technical discipline and operational excellence for all of our AI products
  • Rapidly iterate on AI products based on performance metrics and user feedback to drive continuous improvement
  • Lead the evaluation and adoption of new AI technologies and frameworks to keep Addepar on the frontier of the industry
  • Partner with product managers and other engineering teams to translate strategic goals into technical realities, abstracting AI complexity so they can iterate quickly

Who You Are

  • 3-6+ years of professional experience in backend software engineering, with expertise in programming languages/technologies like Python, Golang, gRPC, AWS, and Kubernetes
  • Proven track record of owning and shipping complex, production-grade systems.
  • Proven experience shipping and maintaining AI-native products or features, or demonstrable passion through significant personal projects in AI
  • Deep ownership mindset, seeing projects through to completion and raising the bar for execution across the team
  • A strong bias for action, with a passion for shipping rapidly and iterating with feedback
  • BS/MS in Computer Science, Statistics, Mathematics, or another quantitative field, or equivalent experience
  • [Preferred] Specific experience with LLMs and agentic systems
  • [Preferred] Hands-on experience with technologies in the modern AI/LLM ecosystem, such as Databricks, Langchain, or MLFlow
  • [Preferred] Advanced understanding of the probabilistic systems underpinning modern LLMs
  • [Preferred] Experience building AI products in highly accuracy-sensitive domains such as finance is a plus

Addepar takes a market-based approach to pay. A successful candidate's starting pay will be determined based on the role, job-related skills, experience, qualifications, work location, and market conditions. The range displayed on each job posting reflects the minimum and maximum target base salary for this role within the United States.

Compensation for this role includes base salary + bonus + equity + benefits.

Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Additionally, these ranges reflect the base salary only, and do not include bonus, equity, or benefits.

Base Salary Range$188,000—$235,000 USD

Our Values

  • Act Like an Owner - Think and operate with intention, purpose and care. Own outcomes.
  • Build Together - Collaborate to unlock the best solutions. Deliver lasting value.
  • Champion Our Clients - Exceed client expectations. Our clients’ success is our success.
  • Drive Innovation - Be bold and unconstrained in problem solving. Transform the industry.
  • Embrace Learning - Engage our community to broaden our perspective. Bring a growth mindset.

In addition to our core values, Addepar is proud to be an equal opportunity employer. We seek to bring together diverse ideas, experiences, skill sets, perspectives, backgrounds and identities to drive innovative solutions. We commit to promoting a welcoming environment where inclusion and belonging are held as a shared responsibility.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

PHISHING SCAM WARNING: Addepar is among several companies recently made aware of a phishing scam involving con artists posing as hiring managers recruiting via email, text and social media. The imposters are creating misleading email accounts, conducting remote “interviews,” and making fake job offers in order to collect personal and financial information from unsuspecting individuals. Please be aware that no job offers will be made from Addepar without a formal interview process. Additionally, Addepar will not ask you to purchase equipment or supplies as part of your onboarding process. If you have any questions, please reach out to ta-operations@addepar.com.

Opportunity

ML Platform & Ops work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

ML Platform & Ops$180k+

Find me work

By the team behind aimlroles.

Find me work
Opportunity

ML Platform & Ops work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Find me work

By the team behind aimlroles.