> 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. # Solutions Architect Canonical URL: https://nextmove.md/fde/jobs/d8c294af2a6f4460 Fundamental Research Labs posts a FDE role to plan what the customer deploys first in US with no pay posted. Solutions Architect guiding enterprise customers from discovery and evaluation through production deployment and expansion of predictive applications using NEXUS. Read from the employer’s posting on November 9, 2026. - [Fundamental Research Labs](https://nextmove.md/fde/companies/fundamental-research-labs) First seen Apr 22, 2026 · open on Ashby as of Nov 9, 2026 Pay not posted US Remote Full-time Solutions Architect guiding enterprise customers from discovery and evaluation through production deployment and expansion of predictive applications using NEXUS. - [See roles that fit me](https://nextmove.md/sign-up?from=%2Ffde%2Fjobs%2Fd8c294af2a6f4460&placement=top) - [View posting at Fundamental Research Labs](https://jobs.ashbyhq.com/fundamental/e21c7ecb-7089-432f-ba81-8acd791490fd/application) 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 Not posted Senior FDE postings, 1,864 postings: the middle 50% of posted pay is $160K to $220K, median $190K. ### The work Plans what the customer deploys first Balance **Mostly building** Project stages 1. Pre-sales 2. Proof of concept 3. Implementation 4. Operations (not covered) Travel **Up to 50%** - **Coding**: Prototypes and scripts - **Builds for**: External customers - **Level**: Senior - **Role**: Technical lead ### What they ask for Experience - **5+ years** technical consulting or customer-facing technical roles Background - **Solutions and customer engineering** - **Consulting** ### Do you meet what the posting states? The posting asks for 5+ years. How many do you have? The posting reads as a senior role. What level are you at now? The work is remote from the US. Can you work from the US? 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**: US - **Work arrangement**: Remote - **Remote work restrictions**: US - **Employment type**: Full-time - **Travel**: Up to 50% ## More like this [ElevenLabs](https://nextmove.md/fde/companies/elevenlabs) ### [Deployment Strategist, Public Sector (Federal & SLED) - North America](https://nextmove.md/fde/jobs/4d8341c1e5c11e43) US Remote 3d ago Pay not posted [Realm](https://nextmove.md/fde/companies/realm) ### [Deployment Lead](https://nextmove.md/fde/jobs/c76e9ba19967307c) US Remote 3w ago $110,000–$185,000 [Accrete AI](https://nextmove.md/fde/companies/accrete-ai) ### [Forward Deployed Engineer (TS/SCI)](https://nextmove.md/fde/jobs/27dae970211d319f) Colorado Springs, CO Remote 3d ago $120,000–$150,000 - [Other jobs at Fundamental Research Labs (5)](https://nextmove.md/fde/companies/fundamental-research-labs) ## The job description from Fundamental Research Labs ### About Fundamental Fundamental is an AI research lab pioneering the future of enterprise decision-making. Our flagship model, NEXUS is the world's most powerful Large Tabular Model (LTM) - purpose-built for the structured records that contain trillions of dollars in business value. With $275m in funding from leading investors and trusted by Fortune 100 companies, Fundamental is giving businesses the Power to Predict. At Fundamental, you'll work on unprecedented technical challenges in foundation model development and build technology that transforms how the world's largest companies make decisions. This is your opportunity to be part of a category-defining company from the ground-up. Join the team defining the future of enterprise AI. ### About the role The Solutions Architect role sits at the intersection of our customers, engineering, enterprise deployment, and product, working directly with some of the world’s most data-rich organizations to bring predictive applications into production using our tabular foundation model. In this role, you will guide customers from early discovery and evaluation through deployment and scale. You’ll work with senior business and technical leaders to identify high-value use cases, design robust architectures, and ensure deployments deliver measurable business impact. This is a hands-on role combining solution design, data science & machine learning, and production engineering, ideal for someone who enjoys owning a customer's technical success end-to-end and building real systems that perform in complex enterprise environments. ### Key responsibilities - Lead technical discovery to pinpoint high-feasibility, high-impact use cases where NEXUS demonstrates clear ROI - Partner with Sales to drive the technical win by scoping and building "Art of the Possible" demos, running competitive benchmarks, and prototyping solutions on customer data - Own the technical strategy for customers, maintaining deep relationships with senior stakeholders and defining the long-term strategy for adoption and expansion - Lead the end-to-end delivery project, coordinating Forward Deployed Engineers and customer teams to resolve technical blockers and drive alignment across IT, Governance, and Business stakeholders - Design robust solution architectures and integration patterns that ensure production-grade performance in complex enterprise environments (On-prem, VPC, Legacy systems) - Translate patterns from the field into high-signal engineering tickets for Product and Research to inform the roadmap and model evolution - Codify winning deployment strategies into reusable assets and reference architectures to accelerate the entire Solutions Architect team. - Travel 50% of the time ### Must have - 5+ years of experience in technical consulting or customer-facing technical roles (e.g. Solutions Architect, Data Scientist, Sales Engineer, ML engineer) - Proven ability to lead complex technical implementations, spanning traditional machine learning and/or modern Generative AI systems, with an understanding of cloud and on-prem architectures - Strong experience working with enterprise customers, including navigating multi-stakeholder environments and deployment cycles - Strong written and verbal communication skills to convey complex technical concepts to both technical and non-technical audiences - Hands-on technical proficiency with a focus on data manipulation (Python, Pandas, SQL) to execute rapid prototyping and analyze customer datasets independently. - A collaborative mindset - excited to work cross-functionally, manage trade-offs and balance competing priorities across teams - Demonstrated ability to own problems end-to-end, learn quickly, and fill in knowledge gaps as needed to deliver outcomes - Humble, team-oriented attitude with a bias toward action and doing what’s necessary to help the broader team win ### Benefits - Competitive compensation with salary and equity - Comprehensive health coverage for you and your dependents, including medical, dental, vision, and 401K - Paid parental leave for all new parents, inclusive of adoptive and surrogate journeys - Relocation support for employees moving to join the team in one of our office locations - A mission-driven, low-ego culture that values diversity of thought, ownership, and bias toward action [View posting at Fundamental Research Labs](https://jobs.ashbyhq.com/fundamental/e21c7ecb-7089-432f-ba81-8acd791490fd/application) ## About Fundamental Research Labs Builds NEXUS, a Large Tabular Model that helps enterprises predict demand, fraud, churn, risk, and other outcomes from structured data. 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