Solutions Engineer, AI

Valence

$120K — $150K *
Enterprise Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 3+ years in solutions engineering or related fields, ideally with enterprise experience.
  • Demonstrated expertise in LLM/AI systems, including prompt design and evaluation.
  • Proven capability in balancing bespoke vs. reusable designs without over-engineering.
  • Strong stakeholder management, discovery, and communication skills with a practical approach.
  • Growth mindset with a focus on continuous development in AI.
  • Startup experience preferred, with an ability to navigate ambiguity effectively.

Responsibilities

  • Own the full lifecycle for enterprise AI solutions, from design to implementation.
  • Identify repeatable patterns and modularize components for efficiency.
  • Define standards and success metrics for quality evaluation and iteration.
  • Balance trade-offs between speed and scalability to meet customer needs.
  • Collaborate with various teams to ensure impactful solutions.
  • Mentor associates in prompting and integration skills development.
  • Monitor deployment metrics to drive improvements in efficiency.

Benefits

  • Direct ownership of significant projects from day one.
  • Opportunity to work closely with executive leadership, offering high transparency.
  • Engagement with cutting-edge AI technologies and transformative platforms.
  • Possibility to become a recognized leader in enterprise AI across diverse industries.
Full Job Description
The Role

This role will lead enterprise solutions for Nadia, our AI coach, by adapting and delivering tailored implementations for complex customer environments. You will design, implement, and evaluate high-impact workflows (prompts, memory and knowledge patterns, coaching flows), balance bespoke and reusable architectures, and build the tooling and evaluation discipline that let us scale enterprise AI deployments. This role sits at the heart of Valence. You will collaborate closely with Product, AI Research/Applied AI, and Engineering to ensure our most advanced enterprise AI systems are safe, performant, and aligned with real user outcomes. This is a hybrid role that combines product sense, technical grounding, and strong delivery instinct. It is ideal for someone who loves to build, ship, and iterate.

What You'll Do
  • Own end-to-end AI solutions: Lead the full lifecycle for enterprise-grade workflows, from discovery and design through implementation, evaluation, and iteration.
  • Architect for reuse: Identify repeatable patterns, modularize components, and define when to productize; communicate tradeoffs across speed, quality, and maintainability.
  • Drive quality and evaluation: Define prompting standards, guardrails, and success metrics (accuracy, tone, safety, outcome quality). Build lightweight evaluation frameworks that scale across clients.
  • Make hard tradeoffs: Balance speed vs. scalability; protect the platform from over-engineering while ensuring customers see real value quickly.
  • Collaborate deeply: Partner with Product, AI Engineering, and Coaching SMEs to deliver solutions with measurable impact.
  • Mentor and level up others: Guide associates or EMs learning prompting and integration skills; contribute to playbooks, templates, and internal training.
  • Measure outcomes: Track deployment speed, adoption, satisfaction, and quality; identify opportunities for reusability and efficiency gains.


What We're Looking For
  • 3+ years in solutions engineering, forward-deployed engineering, or consulting engineering, ideally with enterprise-facing experience. Open to less years for exceptional builders who ship and learn fast.
  • LLM/AI experience: prompt design, evaluation, and deployment of LLM-powered systems. Understanding of memory/knowledge retrieval and safety/guardrails.
  • Systems & judgment: track record of deciding what should be bespoke vs. reusable, designing for modularity without over-engineering.
  • Enterprise craft: stakeholder management, discovery, and communication. You know when to push back and when to ship.
  • Collaborate deeply: Partner with Product, AI Engineering, and Coaching SMEs to deliver solutions with measurable impact.
  • Quality mindset: you hold the line on accuracy, safety, and performance while maintaining pragmatism.
  • Growth mindset: Growth mindset focused on continuous skill development in rapidly evolving AI landscape
  • Startup DNA: Startup experience preferred with proven comfort navigating ambiguity and high-velocity execution.


What you'll get
  • Ownership & Rapid Growth
  • Outsized missions from day one, with direct responsibility for company-defining projects
  • Work alongside the executive team with transparency into strategy and decision-making
  • Influence on direction through real-time customer feedback and market insights


  • AI-First Operator
  • Work directly with cutting-edge AI models and next-generation platforms
  • Build expertise in enterprise AI implementation across Fortune 500 companies and multiple industries
  • Establish yourself as a recognized leader among peers in shaping how AI transforms work at a global scale


  • Compensation
  • Competitive salary including base + bonuses
  • Comprehensive health coverage (medical, dental, vision) from day one
  • Generous PTO, company-wide R&R shutdowns, and paid parental leave
  • Retirement plan support for US and global employees


  • Equity
  • Meaningful ownership in a venture-backed company at a growth inflection point
  • Financial upside that comes from scaling fast
  • Top-up grants as we scale and you deliver exceptional performance - your compensation grows alongside your impact


  • Top-Performing Culture
  • A culture built for top talent: intensity to win, growth without limits, and a team that solves hard problems and celebrates big wins together


Learn more about us and meet our team here

Location and Work Environment

This role is 3 days a week (Tues - Thurs) minimum in office. Candidates must be comfortable working with colleagues in different time zones (UK), and have valid travel documents without work authorization restrictions in the US.

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