> Markdown version of [/jobs/ext/2143341-solutions-engineer](https://www.wearedevelopers.com/jobs/ext/2143341-solutions-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Solutions Engineer

- **Company:** LexisNexis Risk Solutions
- **Location:** London, UK
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Data Analysis, User Authentication, BigQuery, Cloud Database, Customer Data Management, Information Engineering, Data Infrastructure, Python (Programming Language), SQL Databases, Data Streaming, Large Language Models, Snowflake, Data Management, Api Design, Databricks
- **Published:** August 20, 2026
- **Apply:** https://relx.wd3.myworkdayjobs.com/RiskSolutions/job/London-Wall/Solutions-Engineer_R115808

## About the Role

Who You Are

 * Customer-Facing Authority: You have a proven track record in customer-facing environment (e.g., Solutions Engineering, Technical Consulting, or Sales Engineering). You are comfortable leading technical workshops for customer stakeholders.
 * Commercially Minded : You possess a strong commercial instinct and the ability to articulate the business impact of technical solutions. You are a proactive partner to the sales team, helping to identify and navigate the technical path to a "closed-won" result.
 * AI-Forward & Inquisitive: You have a practical understanding of modern AI ecosystems and are comfortable discussing concepts such as LLMs, AI Agents, and retrieval-based architectures with customers. You are interested in how data is consumed by AI-driven workflows and enjoy exploring emerging technologies, without needing to be a specialist in model development.
 * Technical Credibility: You have hands-on experience with SQL and Python and are comfortable developing demonstrations, proofs of concept and technical validations. You have experience working with APIs, modern authentication methods and cloud-based data architectures. Experience with platforms such as Snowflake, Databricks or similar technologies would be advantageous.
 * Data Platform Fluency: You have a solid understanding of modern Data Platforms (such as Snowflake, Databricks, BigQuery, or Redshift) and the process of transforming raw data into a usable asset.

Your Background

We value curiosity, adaptability and a customer-first mindset above all else. You likely have experience in Solutions Engineering, Sales Engineering, Technical Consulting or Data Engineering with a strong commercial instinct.

## Description

The Journey: Your First 90 Days

 * 30-days: You will build a strong understanding of the ICIS data portfolio, data channels and customer use cases. You will shadow discovery calls, customer workshops and technical discussions to understand how organisations consume and operationalise market intelligence within their business workflows.
 * 90-days: You will be actively supporting sales opportunities, leading technical discovery sessions, qualifying customer requirements and helping customers design approaches for integrating ICIS data into their analytics, reporting and AI initiatives.

This role is suited to an inquisitive technical practitioner who enjoys solving customer problems and translating business requirements into technical solutions.

As a Solutions Engineer, you will architect how ICIS market intelligence integrates into customer data, analytics and AI ecosystems. Working alongside Account Managers, you will lead technical discovery, develop a deep understanding of customer technology environments, and design approaches that enable ICIS data to power business workflows and decision-making.

You will serve as the technical lead throughout the sales cycle, documenting customer architectures, data flows and requirements, while guiding customers towards solutions that maximise the value of ICIS intelligence within their existing platforms and emerging AI initiatives.

You will also act as a key link between customers and internal teams, providing market feedback that helps shape our products, delivery capabilities and future roadmap., What You'll Do

 * Partner on Technical Strategy: Lead technical discovery to understand customer objectives, existing technology landscapes and how data supports critical business workflows. Translate customer requirements into practical solution approaches and identify how ICIS data can create measurable business value.
 * Navigate the Sales Lifecycle: Act as the technical lead throughout the sales process, applying structured sales and qualification methodologies to identify stakeholders, business drivers, technical requirements and architectural considerations. Support technical validation, proof-of-value activities and remove barriers to achieving a successful technical win.
 * Architect for the Customer AI Landscape: Collaborate with customers as they navigate the emerging AI landscape. You will identify and design the critical integration points where ICIS data provides a reliable foundation for their AI-driven decision-engines.
 * Enable the Ecosystem: Collaborate with customers, implementation partners and System Integrators to optimise how they consume ICIS data across data platforms, workflows and pipelines. Share best practices that help customers accelerate adoption and maximise the value of their investment.
 * Inform Product Strategy: Act as a key contributor to our internal feedback loop, relaying market trends and product gaps to our Product and Marketing teams to shape future strategy.


## Related Videos

- [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail)
- [API Design - Getting Started](https://www.wearedevelopers.com/videos/33-api-design-getting-started)
- [How Cisco embraced a DevOps culture within its network engineering team](https://www.wearedevelopers.com/videos/99-how-cisco-embraced-a-devops-culture-within-its-network-engineering-team)
- [Coffee with Developers - Maria Apazoglou](https://www.wearedevelopers.com/videos/1209-coffee-with-developers-maria-apazoglou)
- [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works)
- [Beyond SQL Generation: How to Teach Agents What Your Database Actually Means](https://www.wearedevelopers.com/videos/100127-beyond-sql-generation-how-to-teach-agents-what-your-database-actually-means)

## Related Articles

- [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production)
- [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift)
- [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)
- [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering)
- [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk)
- [Software Engineer Salary London](https://www.wearedevelopers.com/magazine/252-software-engineer-salary-london)