> AI agents: this is one page of Nextmove’s FDE site, in Markdown. Nextmove is a job board and free career service for forward deployed engineers (FDEs). Each posting is classified from its text, not its title: the kind of work, how much of it is production code, pre-sales weight, time at customer sites, travel, remote arrangement, level and posted base pay. The site also publishes the aggregates: median pay by level, metro, company and kind of work, and which companies started hiring FDEs each week. Every page under https://nextmove.md/fde is served this way; the index of pages is https://nextmove.md/llms.txt.

# Operations Control Specialist, Applied AI/ML

Canonical URL: https://nextmove.md/fde/jobs/64e2b7c60a13d261

Millennium posts a FDE role to build for teams inside the company in New York, NY, at $160,000–$250,000 base, above the senior FDE median of $190,000 across 1,864 postings with pay. Owns the delivery of applied AI and automation across Operations and Middle Office, from identifying and prioritizing use cases through production deployment and impact measurement. Read from the employer’s posting on November 8, 2026.

- [Millennium](https://nextmove.md/fde/companies/millennium)

First seen Nov 3, 2026 · open on Eightfold as of Nov 8, 2026

**$160,000–$250,000** New York, NY Full-time

Owns the delivery of applied AI and automation across Operations and Middle Office, from identifying and prioritizing use cases through production deployment and impact measurement.

- [See roles that fit me](https://nextmove.md/sign-up?from=%2Ffde%2Fjobs%2F64e2b7c60a13d261&placement=top)
- [View posting at Millennium](https://career.mlp.com/careers/job/755959584782?domain=mlp.com)

Free. Upload your resume once, see why each FDE role fits, and get introduced only when you say so.

## At a glance

### Posted base pay

$160K–$250K Above the median

Midpoint $205K · median $190K

This job $160K to $250K. Senior FDE postings, 1,864 postings: the middle 50% of posted pay is $160K to $220K, median $190K.

### The work

Builds for teams inside the company

Balance **Mostly building**

Project stages

1. Pre-sales (not covered)
2. Proof of concept
3. Implementation
4. Operations (not covered)

- **Coding**: Writes production code

- **Builds for**: Internal teams

- **Level**: Senior

- **Role**: Technical lead

### What they ask for

Experience

- **8+ years** data science, machine learning, or automation

Background

- **Implementation and data engineering**

### Do you meet what the posting states?

The posting asks for 8+ years. How many do you have?

The posting reads as a senior role. What level are you at now?

The job is in New York, NY. Could you work there?

Which of these have you used in production?

Answer each one. Nothing is saved or sent.

[What postings ask for, by background →](https://nextmove.md/fde/paths)

## Conditions

- **Location**: New York, NY

- **Employment type**: Full-time

- **Pay**:

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## The job description from Millennium

Operations Control Specialist, Applied AI/ML

**About Millennium**
Millennium is a global, diversified alternative investment firm, founded in 1989. Defined by evolution, innovation and focus, Millennium’s mission is to deliver results for our investors.

Our people are empowered with both independence and support: the autonomy to pursue ideas with conviction and the backing of a global network committed to collaboration, disciplined risk management and continuous learning. With opportunities to deepen expertise and accelerate development, talent at Millennium is equipped to adapt, evolve and build lasting impact over time. Discover how transformative growth accelerates impact.

**Meet the Team**
The Operations & Middle Office team works across departments and regions, partnering with senior management, the Operations Control team, and external counterparties to drive continuous improvement. The team focuses on streamlining processes, strengthening controls, and improving data quality across the firm.

### What You’ll Do

- Partner with Operations, Middle Office, Finance, and Risk Operations teams to map workflows, identify where AI can have the greatest impact, and prioritize use cases by value, feasibility, and risk, supported by clear business cases
- Own end-to-end delivery across multiple concurrent projects, from discovery and rapid prototyping through build, deployment, and impact measurement
- Present proposals, roadmaps, and progress updates to senior stakeholders to secure support and set clear expectations
- Lead the design and development of agentic AI workflows and AI-enabled tools, including LLMs, ML models, and multi-step agents, that automate daily operational tasks and surface risks early, staying hands-on where it adds value
- Collaborate with the Enterprise AI team to align on platforms, tooling, standards, and governance, reuse firm-wide capabilities, and feed business requirements into the enterprise AI roadmap
- Advise business teams on where and how to apply AI, share best practices, and drive adoption and change management
- Build data pipelines and transformations using SQL, Python/pandas, databases, and REST APIs to ensure accurate, reliable data as a foundation for AI and analytics
- Deliver production-ready solutions with appropriate controls, auditability, and human oversight, working with Technology, Legal, Compliance, Information Security, and Finance

### What You Bring

- 8+ years of experience in data science, machine learning, or automation, with a strong hands-on engineering background and a track record of delivering AI solutions into live production while working directly with business users
- Direct experience building with generative AI, such as LLM APIs, retrieval-augmented generation, agent frameworks, and tool orchestration, plus a practical understanding of its limitations and risks in a regulated environment
- Advanced proficiency in Python (including pandas and NumPy) and SQL, with experience in API development and databases; KDB is a plus
- Experience with HTML, CSS, JavaScript, and a modern front-end framework such as React or Angular
- Strong knowledge of financial derivatives, financial products, and capital markets; exposure to market-risk concepts, sensitivities, and the trade lifecycle is a significant plus
- Experience at financial services firms, fintechs, or similar environments is preferred
- Skill in translating ambiguous business needs into well-scoped, prioritized solutions, with strong project-management discipline
- Excellent communication, presentation, and interpersonal skills, with the ability to influence decision-makers and explain technical concepts to non-technical audiences; an entrepreneurial self-starter who thrives in a fast-moving, high-pressure environment and works with urgency to meet tight deadlines

**Salary Range**
Millennium offers a total compensation package which includes a base salary, discretionary performance bonus, and comprehensive benefits. The estimated base salary range for this position is $160,000 to $250,000, which is specific to New York and may change in the future. When finalizing an offer, we take into consideration an individual’s experience level and the qualifications they bring to the role to formulate a competitive total compensation package.

[View posting at Millennium](https://career.mlp.com/careers/job/755959584782?domain=mlp.com)

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