Senior Member of Technical Staff (Applied AI)

Solstice; New York (NY); On-site; USD 230,000 - 350,000; Full time

Benefits offered by this job

Health insurance

Equity gift/stock options

Visa sponsorship

Unlimited PTO

401(k) with match

In‑office lunches

Growth stipend

Relocation support

Job summary

Solstice in New York City is seeking a Senior Member of Technical Staff (Applied AI) to own the technical direction of our AI systems, including retrieval, generation, verification, and production reliability. You will influence product strategy and technical hiring alongside the VP of Engineering and co-founders.

You’ll oversee the creation of polished, defensible pharma marketing assets, build ML/Ops pipelines, and establish metrics that connect generation to real-world outcomes while

Qualifications

• Production ownership: Experience shipping, operating, and maintaining ML/LLM systems in production.
• Ability to design and evaluate ML pipelines with clear metrics and governance.
• Depth in LLMs: retrieval, agentic pipelines, fine-tuning, and tool selection.

Responsibilities

• Own the architectural direction of AI systems, including retrieval, generation, verification, and production stability.
• Collaborate with VP of Engineering and founders on strategy, hiring, and market positioning.
• Code, test, and deploy end-to-end ML/LLM solutions with strong CI/CD practices.
• Ensure compliance, provenance, and grounding to trusted sources across assets.
• Monitor performance and iterate to improve real-world impact.

Skills

Production ownership

Evaluation metrics

LLMs retrieval

Full-stack Python

Communication skills

Ambiguity handling

Tools

Python

FastAPI

Docker

AWS

Job description

Senior Member of Technical Staff (Applied AI)

Location: New York City

Why You Should Join Us

Solstice is redefining how life sciences organizations commercialize therapeutics. We are building a commercial engine that allows pharmaceutical marketers to launch campaigns at 100x the speed. Our mission is to accelerate the knowledge of life-saving medicines.

• Rapid growth: Over the past year, we have worked with some of the top life sciences manufacturers and over 50+ pharma brands including Pfizer and AstraZeneca.

• A hard technical problem: We are trying to rethink the way the largest, most innovative therapies in the world come to market. Every claim in pharma marketing content must trace to an approved source. Fair balance rules govern placement. All materials go through rigorous medical, legal, and regulatory review, which can last months. Building persuasive and defensible content is a genuine challenge, with no playbook. We have the customers and proprietary data to do this right.

• Top-tier investors: Our backers include Transformation Capital, Twelve Below, Virtue and the founders of Datavant, Commure, and Paradigm.

• Influence and ownership: This senior role directly shapes our architectural future. We’re seeking someone who wants responsibility, not someone who needs work handed to them.

About the Role

We’re hiring a senior Applied AI engineer to own the technical direction of our AI systems: retrieval, generation, verification, evaluation, and keeping systems running in production. Nothing’s predetermined. When there’s a fork in the road, you decide.

You will work closely with VP of Engineering Jay, and co‑founders Aris and Yiwen, influencing product strategy, technical hiring, and our market positioning.

What You’ll Be Working On

• High‑craft output: Our clients demand work with polish, not “AI slop.” Pharma assets like emails, banners, slides and leave‑be-hinds require both visual and textual excellence. ISI must be prominent, brand systems must endure, and hierarchy and typography must survive generation. Our job isn’t just compliance. It’s making sure assets don’t get quietly rewritten by marketers.

• Connecting content to outcomes: Passing MLR review means a piece can ship, but not that it worked. We’ll connect generated assets to real‑world performance, including engagement, HCP response and scripts written, and use that data to improve future output.

• Evaluation where ground truth is slow: Determining compliance is slow, coming back as reviewer redlines in inconsistent formats. Developing offline metrics that track downstream MLR pass rate is critical.

• Claim‑level attribution: True grounding means every sentence can be traced back to a specific, defensible source. Our proprietary corpora span prescribing information, clinical data, approved assets, style guides and claim libraries, and provenance must be preserved through generation.

• ML Ops and behavioral regression: Full CI/CD for ML, versioning, automated testing, monitoring, and the harder under‑the‑hood work. Upgrades shift output in ways easy stats can miss, and tail risks matter most. Ongoing vigilance is required.

Ideal Traits

• Production ownership: Experience shipping, operating, and maintaining ML/LLM systems in production.

• Evaluation instinct: History of inventing metrics to measure and improve systems.

• Depth in LLMs: Retrieval, agentic pipelines, targeted fine‑tuning, and judgment on the best tool for each job.

• Full‑stack proficiency: Python, FastAPI, Docker, AWS; able to take ideas from research to deployed service independently.

• Judgment under ambiguity: Confident decisions amid unknowns; unafraid to be wrong and adjust fast.

• Communication: Strong collaboration and feedback skills; direct and open style preferred.

Benefits

• Health, dental, and vision insurance

• Ground‑floor equity opportunity

• Visa sponsorship (O-1, H-1B, TN) available

• Unlimited PTO

• 401(k) with 4% match

• In‑office lunches five days a week

• Professional growth stipend

• Relocation support

Compensation

Highly competitive NYC salary: $230,000 to $350,000 depending on experience, seniority, and ownership level. We benchmark against elite startups and major tech firms, with flexibility at the top of the range for exceptional talent.