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Senior Solutions Architect, Emea

harvey

Híbrido London
Engineering

Job Score

90 pts
Hybrid model (+80) Engineering (+10)

Why Harvey

At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come.

This is a rare chance to help build a generational company at a true inflection point. With 1500+ customers in 60+ countries, strong product-market fit, and world-class investor support, we’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched.

Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you.

At Harvey, the future of professional services is being written today — and we’re just getting started.

Role Overview

The Senior Solutions Architect at Harvey.ai is a critical role that bridges the gap between our product team and client-facing teams. You will be responsible for explaining the technical aspects of Harvey, addressing security and architecture questions, configuring customer accounts, and ensuring seamless integration with our platform. Your expertise will be instrumental in driving upsell opportunities for additional SKUs and our API offerings.

What You'll Do

  • Collaborate closely with the Go To Market and Customer Success teams to articulate the technical capabilities and benefits of Harvey.ai to prospective and existing clients.

  • Address and resolve customer queries related to security, architecture, AI technology, and platform integration.

  • Lead the setup and configuration of customer accounts, including Single Sign-On (SSO) and other authentication mechanisms.

  • Work directly with customers to understand their requirements, design solutions, and ensure successful deployment of the Harvey.ai platform.

  • Assist in the identification and pursuit of upsell opportunities, particularly around additional SKUs and API capabilities.

  • Serve as a technical advisor during the sales process, providing guidance on best practices, technical feasibility, and product alignment with customer needs.

  • Maintain a deep understanding of Harvey.ai’s architecture, security standards, and AI capabilities to effectively communicate with both technical and non-technical stakeholders.

  • Collaborate with the product team to provide feedback and insights based on customer interactions, helping to inform future product development.


What You Have

  • Proven experience working with enterprise customers, including navigating complex buying cycles and aligning with multiple stakeholders across legal, IT, and executive teams

  • Strong technical acumen and the ability to explain concepts like LLM behavior, security architecture, and API integrations to both technical and non-technical audiences

  • Excellent communication skills with a talent for translating between customer needs and internal teams, including Product and Engineering

  • Demonstrated ability to work through ambiguity, prioritize effectively, and champion customer outcomes in fast-changing environments

  • A collaborative, low-ego approach—you enjoy working across functions, engaging with customers, and unblocking teammates

  • Curiosity about generative AI and excitement to learn about emerging technologies and how they apply in highly regulated industries

  • Bonus Points

  • Familiarity with LLM frameworks, legal tech, or working in high-trust, high-compliance environments

  • Prior experience at a high-growth startup, especially in an early Solutions or Sales Engineering role where you helped shape processes and scale customer success

Depending on your location, an Applicant Privacy Notice may apply to you. You can find all of our Applicant Privacy Notices [here].

#LI-JM1

Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

About Engineering

Software Engineering goes beyond traditional development, focusing on scalability, performance, and system architecture. Software engineers are responsible for designing infrastructures that support millions of simultaneous users.

Skills include microservices architecture, DevOps, cloud computing, application security, and performance optimization. Knowledge of containerization (Docker, Kubernetes) and CI/CD is increasingly required.

Senior software engineers are rare and highly compensated professionals, with opportunities at major global tech companies.

Discover Other Areas

Understand the scope of work, key skills, and tools used in different career areas.

About Technical Support

Technical Support is essential to ensure customer satisfaction and retention. Support professionals resolve technical issues, document solutions, and identify patterns that can lead to product improvements.

Key skills include troubleshooting, customer service, technical documentation, ITIL knowledge, and ticketing tools (Zendesk, Freshdesk, Intercom).

Technical support has evolved from a reactive to a proactive function, with high-level professionals working in Customer Engineering and Support Engineering.

About Finance

The Finance area in technology companies combines traditional financial knowledge with advanced digital tools. FP&A, controlling, and corporate finance professionals are essential for the organization's financial health.

Key skills include financial modeling, metrics analysis (MRR, ARR, LTV, CAC), ERP (SAP, Oracle), and BI tools. Certifications like CFA and CPA-20 are differentiators.

The financial sector offers stable opportunities with competitive salaries, especially in fintechs and large technology companies.

About SEO Analyst

The SEO Analyst is the professional responsible for optimizing websites for search engines, increasing organic visibility and qualified traffic. With the growing importance of digital marketing, SEO professionals are fundamental to any online presence strategy.

Key skills include on-page and off-page SEO, technical SEO, keyword research, SEO audits, link building, optimized content creation, and metrics analysis. Tools like Google Search Console, Google Analytics, Ahrefs, Semrush, Moz, and Screaming Frog are essential for daily work.

SEO analysts in technology companies are highly valued, especially those who master technical SEO, Core Web Vitals, and data-driven content strategies. The field offers opportunities from junior analyst to head of SEO, with a focus on organic growth, domain authority, and return on investment.

About Customer Service

The Customer Service / Client Relations area is essential for ensuring customer satisfaction, retention, and a good relationship. Professionals in this field are the primary interface for communication, handling inquiries, requests, feedback, and ensuring a high-quality day-to-day experience. Skills in communication, problem-solving, empathy, and patience are indispensable.

About Artificial Intelligence

Artificial Intelligence is currently the fastest-growing field in the technology market. The revolution in generative models (GPT, Claude, Gemini) has created massive demand for AI-specialized professionals.

Key areas of practice include Machine Learning Engineering, MLOps, Prompt Engineering, AI Research, and Applied AI. Python, TensorFlow, PyTorch, and LLM knowledge are essential skills.

AI salaries are the highest in the technology sector, with many remote work opportunities at international companies.

Career Guides

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Design Career Guide

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Marketing Career Guide

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Finance Career Guide

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Communication Career Guide

Journalism, PR, Corporate Communication, Content Marketing, and Multimedia Production.

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Administration Career Guide

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Data Career Guide

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Product Career Guide

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Expert Tip

The 2026 AI Boom: The Most Valuable Tech Careers and How to Land Six-Figure Remote Jobs

We are halfway through 2026, and one thing is crystal clear: the "experimental" phase of Artificial Intelligence is officially over. While 2023 and 2024 were characterized by awe over chatbots drafting emails and generating images, 2026 has solidified AI as the core infrastructure of global enterprises. The transition from standalone "AI tools" to Autonomous Agents and Multi-Agent Systems has radically transformed the job market.

For Tech, Design, and Digital Marketing professionals across the United States, 2026 represents the greatest window of opportunity of the decade to secure top-tier, 100% remote roles with highly lucrative six-figure compensations.

In this article, we will break down the current AI job landscape, backed by recent data, and list the top careers that startups and Fortune 500 companies are desperately trying to fill.

The Current Landscape: 2026 Data and Projections

The market isn't just hiring standard developers anymore; it's hiring intelligence orchestrators. According to recent Future of Work reports:

  • Exponential Growth: The World Economic Forum (WEF) 2026 update highlights that roles focused on AI, Machine Learning, and Big Data have grown by 45% compared to 2024, cementing them as the fastest-growing fields nationwide.
  • Corporate Adoption: Data published by Gartner earlier this year reveals that over 80% of Fortune 500 companies are now running Generative AI applications in production environments. This has created a massive demand for AI maintenance, ethics, and governance.
  • The Remote Premium: An internal analysis from Mondywork's database (which tracks integrations with major ATS platforms like Greenhouse and Ashby) shows that 73% of US-based AI roles are Remote-First. The average salary for senior specialists in these roles currently exceeds the $140,000 to $180,000 annual range, plus equity.

The 5 Hottest AI Opportunities in 2026

If you want to tailor your resume and LinkedIn profile to be easily captured by modern recruiting algorithms, these are the positions with the highest talent deficit in the US market right now:

1. MLOps and LLMOps Engineers (Operations Engineering)

Large Language Models (LLMs) are like Formula 1 engines: they need a full pit crew to avoid crashing on the track. The industry has realized that putting AI into production is vastly different from running a local model.

  • What they do: Manage infrastructure, oversee the model lifecycle, handle fine-tuning with proprietary company data, and ensure the AI does not suffer from large-scale hallucinations.
  • Hot Search Terms: MLOps, LLMOps, Platform Engineering, Data Ops, Kubernetes for AI.

2. Prompt Engineer & AI Interaction Designer

The profession many thought would be a passing fad has heavily evolved. The 2026 Prompt Engineer is not just someone who "talks well to machines"; they are complex logical system designers.

  • What they do: Sitting at the intersection of Software Engineering and UX Design, these professionals design system prompts for Autonomous Agents, build RAG (Retrieval-Augmented Generation) flows, and structure how AI safely interacts with end-users.
  • Hot Search Terms: Prompt Engineering, NLP, AI Behavior Design, UX Writer for AI.

3. Analytics Engineer / Structured Data Specialist

AI is completely useless without clean data. The classic Data Scientist role has yielded massive ground to the Analytics Engineer, the professional who bridges the gap between raw data engineering and business analysis.

  • What they do: Prepare, model, and transform chaotic data lakes into crystal-clear sources so enterprise AI models can consume data and generate real-time insights.
  • Hot Search Terms: Analytics Engineer, dbt, Snowflake, Computer Vision, BigQuery.

4. AI Product Manager (AI PM)

Companies are tired of building AI features "just because." Now, they need these features to drive serious revenue (ROI). The AI-focused Product Manager is the conductor of this orchestra.

  • What they do: Understand the technical limitations of modern LLMs, translate user pain points into viable AI solutions, and manage the product roadmap while ensuring the technology complies with strict privacy laws (like CCPA and GDPR).
  • Hot Search Terms: AI Product Manager, CPO, Product Ops, AI Governance.

5. AI Growth Marketer / High-Performance Media Buyer

In the digital marketing realm, 2026 is the year of autonomous campaign orchestration. Marketers still relying on 100% manual campaign creation are rapidly losing ground to those who can direct predictive AI.

  • What they do: Leverage Machine Learning and advanced AI tools for autonomous Conversion Rate Optimization (CRO), automated A/B testing, mass content generation, and predictive consumer behavior analysis.
  • Hot Search Terms: Growth Marketing, Media Buyer, Programmatic, AI Copywriting, Martech.

How to Prepare and Get Found (Beating the ATS Filters)

US companies utilize incredibly rigorous Applicant Tracking Systems (ATS) like Workday, Greenhouse, and Lever. They configure recruiting bots to filter resumes using fine-mesh keyword grids.

If you want to land these highly competitive roles, the golden rule is to mirror the exact industry jargon:

  • Don't just write "Data Analyst"; use "Data Ops" or "Analytics Engineer".
  • Don't just list "Cloud Support"; highlight "FinOps", "Cloud Architect", or "Platform Engineer".
  • Replace the outdated "Digital Marketer" with "Growth Ops" or "Performance Manager".

Mondywork Does the Heavy Lifting for You

The US market is fiercely competing for top-tier talent. Startups and tech giants are looking for highly skilled professionals ready to collaborate across different time zones in fully remote environments. That is exactly why Mondywork exists. Our proprietary algorithm scans the largest global Job Boards to find verified, high-paying, and 100% remote Tech, Design, and Marketing opportunities.

Don't miss the chance to ride the biggest technological revolution of our generation.

👉 Subscribe now to Mondywork's Job Alerts


Macroeconomic Reference Sources:

  • World Economic Forum - The Future of Jobs Report 2026 Update.
  • Gartner - Hype Cycle for Artificial Intelligence, 2026.
  • McKinsey Global Institute - The Economic Potential of Generative AI (Revisited 2026).