---
title: 'Solution Architect (US) at Lynx Analytics'
canonical: 'https://feeny.ai/job/solution-architect-us-lynx-analytics-new-york-h4zffxs4f1bz'
type: 'job'
last_seen: '2026-09-10'
---

# Solution Architect (US) at Lynx Analytics

- **Company:** Lynx Analytics
- **Location:** New York, NY / Philadelphia Pennsylvania, United States / San Francisco California, United States
- **Posted:** 2026-08-20
- **Last confirmed live:** 2026-09-10
- **Apply:** https://job-boards.greenhouse.io/lynxanalytics/jobs/8729084002

## Job description

## SUMMARY STATEMENT

We are looking for a Solution Architect to design the technical solutions behind our client engagements and give delivery teams a clear, workable path from concept to production. You will define data models, system architecture, and integration patterns, and validate those designs hands-on - building prototypes, proofs of concept, and early pipeline or application components to de-risk decisions before a full delivery team builds on them. This is an architecture-first role: data and software engineering work you do is in service of setting technical direction and unblocking delivery teams, not sustained production-scale build.

## KEY RESPONSIBILITIES

Solution Architecture

- Own solution architecture for client engagements: data models, system design, integration patterns, and technology choices, translated into designs delivery teams can build from.
- Lead technical discovery with clients: understand requirements, assess existing systems, and present architectural options and trade-offs to technical and non-technical stakeholders.
- Define standards, reusable patterns, and reference architectures that other engineers at Lynx can build on across engagements.
- Make pragmatic trade-offs between build speed, cost, scalability, and maintainability, and clearly explain the reasoning behind them.
- Review technical designs and key implementation decisions from delivery teams to ensure they stay aligned with the intended architecture.

Hands-On Validation & Enablement

- Validate architectural decisions hands-on - building prototypes, proofs of concept, and early data pipeline or application components to test feasibility before full-scale build.
- Partner with data engineers and software engineers to unblock them on ambiguous technical problems, then hand off cleanly once the direction is proven.
- Set up early evaluation, testing, or monitoring approaches so delivery teams inherit a working foundation, not just a diagram.
- Contribute to internal tooling, accelerators, and knowledge-sharing that raise the technical bar across the practice.

## SKILLS, QUALIFICATIONS AND EXPERIENCE

- Bachelor's degree in Computer Science, Engineering, or a related field.
- 5-8+ years of experience spanning data engineering and software engineering, with demonstrated experience moving into solution or systems architecture.
- Track record of designing data models, system architectures, and integration patterns for production systems, not just diagramming them.
- Hands-on proficiency in at least one modern language (e.g., Python, Typescript, or similar) and comfort prototyping pipeline or application components personally.
- Solid grounding in data engineering fundamentals (pipeline design, data modeling, ETL/ELT) and software engineering fundamentals (API design, testing, CI/CD).
- Experience working in a consulting or client-facing environment - comfortable leading discovery conversations, presenting trade-offs, and managing ambiguity.
- Experience with cloud platforms (AWS, GCP, or Azure) is a plus.

## KEY COMPETENCIES

- Architectural Judgment: Balances build speed, cost, scalability, and maintainability, and knows when to prototype personally versus hand off to a data or software engineer.
- Stakeholder Mentality: Treats the company's and client's goals as their own and is genuinely motivated by delivery success.
- Technical Communication: Translates complex architectural decisions clearly for both engineers and non-technical business stakeholders.
- Discretion & Integrity: Handles sensitive client and technical information with professionalism and sound judgement.
- Problem Solving: Approaches ambiguous technical challenges proactively and with a solution-oriented mindset, taking initiative rather than waiting to be directed.
- Collaboration: A team player who builds strong working relationships with delivery teams and communicates effectively across all levels.

## WHY YOU WILL LOVE IT HERE

- A collaborative and global culture that values real outcomes
- High ownership, zero micromanagement
- Rapid learning opportunities and diverse challenges
- Flat organisational hierarchy with high visibility and accessibility to our leaders

## About Lynx Analytics

## Company Overview
- **One-liner**: Lynx Analytics is an AI-native consulting firm that applies machine learning and graph analytics to solve complex challenges for global life sciences organizations.
- **Entity Type**: Private (stage: Unattributed; total raised $10M)
- **Headquarters**: Singapore, Singapore
- **Founded**: 2010
- **Founders**: A group of INSEAD students and professors; notable co-founder includes Gabor Benedek, PhD (Chief Innovation Officer)

## Core Business
- **Primary industry**: Life sciences (pharma and biotech), with additional work in healthcare, retail, telecommunications, and banking.
- **Target customers**: B2B, Enterprise (global pharmaceutical and biotech companies, plus large enterprises in other regulated industries).
- **Mission or purpose statement**: To apply graph theory and AI to simplify and solve complex, real-world business problems, helping clients move faster and achieve more.

## Products & Services
- **LynxKite**: A complete Graph AI platform for very large datasets that transforms data into graphs and lets users perform complex analysis in a no-code environment; often part of the solution stack delivered to customers.
- **Lumen**: An Agentic AI framework designed specifically for pharmaceutical and biotech organizations to generate strategic, decision-ready insights from complex scientific and commercial information. It enables AI agents for use cases such as campaign planning, HCP engagement, clinical trial intelligence, and natural-language analytics.
- **IlluminAI**: A customized decision-support solution built on Lumen in collaboration with the International Oncology team at AstraZeneca. It allows teams to ask natural-language questions about forecast drivers and receive insights grounded in patient forecast models and revenue data.
- **Consulting Services**: AI-native consulting that embeds data engineers, data scientists, and software developers into client teams to design and deploy tailored, scalable solutions.

## Market Standing
- **Valuation/Market Cap**: Not disclosed
- **Key Metric**: Total funding of $10M (raised in a single round, no series disclosed)
- **Notable Investors/Partners**: Not publicly available (investors); key customers/partners include AstraZeneca, Hong Kong Telecom, and Levi’s.
- **Growth Signals**: Launched the Lumen Agentic AI framework in January 2026; expanded from bespoke analytics to a suite of capability-led AI solutions; deep partnership with AstraZeneca’s International Oncology team; growing global footprint with offices in Singapore, US, Hong Kong, Hungary, and operations in Canada, Germany, and Indonesia.

## Competitive Advantages
- **AI-native from day one** – built on a foundation of graph theory and advanced analytics, with over 15 years of experience applying machine learning to real-world problems.
- **Graph analytics expertise** – proprietary LynxKite platform enables no-code graph analysis on very large datasets, a differentiator versus traditional analytics providers.
- **Deep domain knowledge in life sciences** – focused exclusively on pharma and biotech, with solutions tailored to launch excellence, omnichannel investment, HCP engagement, and clinical trial optimization.
- **Always-on, scalable models** – e.g., continuous attribution models that replace static quarterly reports, and living HCP personas updated in real time.
- **Embedded delivery model** – teams work alongside clients, taking full ownership of outcomes and integrating into existing technology environments (no rip-and-replace).

## Strategic Focus
- Scaling from bespoke, project-based analytics to a suite of capability-led, repeatable AI solutions (e.g., Lumen framework).
- Deepening partnerships with global pharmaceutical companies and expanding the use of Agentic AI across commercial and clinical workflows.
- Continuing to build a diverse, global team and expanding geographical footprint in North America, Europe, and Asia.

## Why Work Here
- **Culture**: Described as fast-moving, ownership-driven, and built for intellectually demanding problems. The company values ambition, innovation, empathy, and relentless teamwork.
- **Team composition**: A diverse, global team of Professors, PhDs, MScs, and MBAs from Ivy Leagues, INSEAD, and NUS, with experience at companies like Google, Databricks, ZS, Abbvie, Amgen, Vodafone, Morgan Stanley, and Palantir.
- **Remote/hybrid/office policy**: Has physical offices in Singapore, San Francisco (US), Hong Kong, and Hungary, and operations in Canada, Germany, and Indonesia. The company is global and likely supports hybrid/remote arrangements depending on role.
- **Notable perks**: Emphasis on real ownership and impact, exposure to cutting-edge AI and graph analytics, and the opportunity to work with some of the world’s largest life sciences companies.

## Sources
1. [lynxanalytics.com - About Us](https://www.lynxanalytics.com/about-us)
2. [lynxanalytics.com - Homepage](https://www.lynxanalytics.com/)
3. [job-boards.greenhouse.io - Lynx Analytics Careers](http://job-boards.greenhouse.io/lynxanalytics)
4. [lynxanalytics.com - Leadership](https://www.lynxanalytics.com/leadership)
5. [cbinsights.com - Lynx Analytics Profile](https://www.cbinsights.com/company/lynx-analytics)
6. [prnewswire.co.uk - Lumen Announcement](https://www.prnewswire.co.uk/news-releases/lynx-analytics-introduces-lumen-an-agentic-ai-framework-to-improve-decision-making-in-life-sciences-302660479.html)

## Other roles at Lynx Analytics

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- [Senior / Business Consultant (US)](https://feeny.ai/job/senior-business-consultant-us-lynx-analytics-new-york-8hxezyptnxdm) — New York, NY / Philadelphia Pennsylvania, United States
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