> 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.

# Manager, AI Engineering

Canonical URL: https://nextmove.md/fde/jobs/2cf90d00f404007a

Trinity Life Sciences posts a FDE role to build what the customer runs in New York, NY and 1 more, at $148,000–$222,000 base, level with the senior FDE median of $190,000 across 1,864 postings with pay. Embed with biopharma clients to translate commercial, medical affairs, and data-team needs into engineered solutions Read from the employer’s posting on November 8, 2026.

- [Trinity Life Sciences](https://nextmove.md/fde/companies/trinity-life-sciences)

First seen Oct 4, 2026 · open on Workday as of Nov 8, 2026

**$148,000–$222,000** + equity New York, NY +1 Full-time

Embed with biopharma clients to translate commercial, medical affairs, and data-team needs into engineered solutions

- [See roles that fit me](https://nextmove.md/sign-up?from=%2Ffde%2Fjobs%2F2cf90d00f404007a&placement=top)
- [View posting at Trinity Life Sciences](https://trinitylifesciences.wd108.myworkdayjobs.com/Trinity/job/New-York-NY/Manager--AI-Engineering_JR100777)

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

$148K–$222K Level with the median

Midpoint $185K · median $190K

This job $148K to $222K. Senior FDE postings, 1,864 postings: the middle 50% of posted pay is $160K to $220K, median $190K.

### The work

Builds what the customer runs

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**: External customers

- **Level**: Senior

- **Role**: Technical lead

### What they ask for

Experience

- **6+ years** professional software engineering experience
- **9+ years** professional software engineering experience (upper bound)

Background

- **Software engineering**

### Do you meet what the posting states?

The posting asks for 6+ 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 · Princeton, NJ. Could you work in one of these?

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 · Princeton, NJ

- **Employment type**: Full-time

- **Pay**:

## More like this

[EY](https://nextmove.md/fde/companies/ey)

### [Cyber - AI Engineer - Manager - Consulting](https://nextmove.md/fde/jobs/5352527da1726f71)

New York, NY Remote 7w ago

$144,900–$302,100

[eClerx](https://nextmove.md/fde/companies/eclerx)

### [Senior Software Engineer](https://nextmove.md/fde/jobs/a88680972b8c9543)

New York, NY Hybrid 3w ago

$150,000–$200,000

[Scale AI](https://nextmove.md/fde/companies/scale-ai)

### [Frontier Agents Engineer (Forward Deployed Engineering)](https://nextmove.md/fde/jobs/aa082644713e92d5)

San Francisco, CA · New York, NY · +1 more 5mo ago

$180,000–$225,000

- [Other jobs at Trinity Life Sciences (1)](https://nextmove.md/fde/companies/trinity-life-sciences)

## The job description from Trinity Life Sciences

### Position Summary

As a Manager, AI Engineering at Trinity Life Sciences, you are a hands‑on builder who leads by doing. You’ll embed with biopharma and commercial Life Sciences teams, absorb their hardest problems, and rapidly design and build working GenAI solutions e.g., client‑facing Copilots, RAG pipelines over clinical and commercial data, and agentic workflows that change how teams operate. You’ll move from ambiguous business challenge to running prototype in days, not quarters; demo it, iterate live with clients, and make it better. You will write code, own deployments, and be accountable for real outcomes. Within a week, you might be turning a messy CRM export into a live sales rep facing AI assistant that surfaces next‑best‑action recommendations. Or you might be building a RAG pipeline over 10 years of clinical trial data so a market access team can answer payer questions in seconds. As a Manager, you’ll also guide a small team of AI engineers (1–3), helping them ramp faster, navigate client complexity, and grow into the role. You lead by pairing, reviewing, unblocking, and raising the bar on engineering quality and client impact.

### What You’ll Do

### Technical delivery

- Embed with clients at top biopharma and life sciences organizations: Sit with their commercial, medical affairs, and data teams to surface unmet needs and translate them into engineered solutions.
- Prototype at speed: Stand up GenAI‑powered applications, Copilots, RAG pipelines, agentic workflows, and data integrations fast enough to make a client’s jaw drop within two weeks of receiving their data.
- Own delivery end‑to‑end: From the first whiteboard session through production‑ready code, demo, feedback loop, and handoff to product.
- Flex between missions: Move between active client engagements and product sprints as priorities shift.
- Make the model and our products better: Document patterns, share playbooks with the cohort, and push field learnings back into the product, including reusable components and Copilot templates.

### Team development

- Provide technical leadership and guidance to junior AI engineers: Pairing on hard problems, reviewing their work, and giving them direct, useful feedback.
- Help new engineers ramp up through the onboarding path: Accelerate their time to product fluency and first live pod contribution.
- Serve as a technical sounding board when engineers are stuck: Ask questions that guide them to the solution and help them grow.
- Model the culture: Show what great client engagement, clean iteration, and knowledge‑sharing look like in practice.

What You'll Bring

- 6–9 years of professional software engineering experience, with a track record of shipping production‑quality systems.
- Preferred experience mentoring or leading small engineering teams, formally or informally.
- Strong proficiency in Python; fluency with cloud services (Azure, AWS, or GCP).
- Hands‑on experience building or integrating GenAI systems: LLMs, prompt engineering, RAG, agentic architectures, multi‑modal pipelines, and Copilot‑style assistants.
- Real comfort operating in client‑facing environments: You have presented to non‑technical stakeholders and navigated their feedback without losing your footing.
- Experience in Life Sciences or Biotech preferred: You understand the commercial model, can talk the language, and understand the goals of stakeholders in the industry.
- Thrive on pace: Compressed timelines energize rather than exhaust you; you do your best work when the deadline is real.
- Understand before you build: You invest the time to genuinely absorb what a client needs before you write a line of code.
- Are collaborative by default: You pull in teammates, ask for help early, and share credit.
- Learn fast in unfamiliar domains: You have cracked new industries, new stacks, or new problem spaces quickly before, and you can do it again.
- Make others better: You have the patience, directness, and generosity to mentor and coach engineers; you understand that growing someone else is a core contribution of the value you bring to our firm.
- Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field (or equivalent experience).

### About Trinity

Trinity powers the future of life sciences commercialization through the fusion of human and artificial intelligence. By blending deep therapeutic expertise and trusted human ingenuity with a purpose-built technology platform, Trinity accelerates clarity and confidence at every step of the commercialization journey—from pre-launch to scale to loss of exclusivity. For more than 30 years, the world’s leading pharmaceutical, biotech, and medtech companies have relied on Trinity’s foresight, execution, and partnership to deliver confident product launches, decisive market advantage, and measurable patient impact. During that time, Trinity expanded from its first office in Waltham, MA to 1,300 professionals across 14 offices and five continents, setting new industry standards in quality, responsiveness, and client partnership. For more information, visit Trinity at www.trinitylifesciences.com.

Trinity’s salary bands account for a wide range of factors that are considered in making compensation decisions including but not limited to skill sets and market demand for skills, level of experience and training, specific qualifications, performance, geographic location, internal equity, and other business and organizational needs. The base salary range for this role is $148,000 - $222,000 per year. In addition to your base salary, you will also be eligible for an annual discretionary performance bonus.

**Trinity’s Commitment to Inclusion & Engagement (I&E)**
Trinity Life Sciences is an equal opportunities employer and welcome applications from all qualified individuals. At Trinity, inclusion and engagement are at the heart of how we work and grow together. We’ve evolved from a traditional “DEI” framework to Inclusion & Engagement (I&E)—a model that moves beyond representation to focus on connection, collaboration, and shared purpose. Every role at Trinity plays a part in fostering an environment where all employees feel valued, respected, and empowered to contribute fully. By embedding I&E principles into our culture, we ensure that belonging and engagement are not standalone initiatives—they are part of how we build teams, make decisions, and deliver excellence every day. Trinity will not tolerate any form of discrimination or harassment and encourages applicants of all ages and identities. For more information about Trinity’s commitment to Inclusion and Engagement please visit Inclusion & Engagement | Culture of Belonging at Trinity Life Sciences.

[View posting at Trinity Life Sciences](https://trinitylifesciences.wd108.myworkdayjobs.com/Trinity/job/New-York-NY/Manager--AI-Engineering_JR100777)

## Similar jobs

[Google](https://nextmove.md/fde/companies/google)

### [Forward Deployed Engineer III, Generative AI, Google Cloud](https://nextmove.md/fde/jobs/e6ee1ac89337dd30)

New York, NY · Austin, TX · +7 more 2mo ago

$174,000–$252,000

[Thomson Reuters](https://nextmove.md/fde/companies/thomson-reuters)

### [Senior Software Engineer - AI, CoCounsel FDE](https://nextmove.md/fde/jobs/7aed539477b5be97)

Frisco, TX · New York, NY · +2 more 2mo ago

$118,400–$219,800

[Narmi](https://nextmove.md/fde/companies/narmi)

### [Senior Software Engineer - Professional Services](https://nextmove.md/fde/jobs/e21e2a1ccb895111)

New York, NY Hybrid 2mo ago

$167,000–$196,000

[Accenture](https://nextmove.md/fde/companies/accenture)

### [Palantir Forward Deployed Senior Engineer](https://nextmove.md/fde/jobs/79e9c43db5c86c34)

Chicago, IL · Milwaukee, WI · +39 more 2mo ago

$80,400–$316,300

[Amazon (incl AWS)](https://nextmove.md/fde/companies/amazon-incl-aws)

### [Sr Forward Deployed Engineer (FDE), AWS Forward Deployed Engineering, US Government](https://nextmove.md/fde/jobs/f7f7ea70cdde41e8)

Denver, CO · Jessup, MD · +4 more New · 3d ago

$168,100–$250,200

- [Compare senior FDE salary ranges](https://nextmove.md/fde/salary/senior)
- [Similar jobs in New York metro](https://nextmove.md/fde/jobs?region=nyc-metro)
- [Similar jobs that build what the customer runs](https://nextmove.md/fde/jobs?role=builds-for-customers)

Hiring at Trinity Life Sciences and want this page changed or removed? Email info@nextmove.md and we take it down.

Employer postings · [How we read postings](https://nextmove.md/fde/method)
