Associate Director

Acuity Analytics; Greater London; On-site; GBP 90,000 - 120,000; Full time

Job summary

Acuity Analytics is seeking a Forward Deployed Engineer (FDE) to bridge engineering, product, and customer success. You will design, integrate, and deploy AI-powered solutions in real-world production environments, acting as the technical owner from design through implementation to ensure high-impact outcomes and customer satisfaction.

You will work closely with customers and internal teams, leading end-to-end integration, and translating business requirements into scalable technical solutions,

Qualifications

• 8-10 years of professional software engineering experience.
• Strong hands-on experience with React.js for frontend development.
• Strong backend experience using Python and Node.js.
• Solid understanding of AI/ML concepts, including model lifecycle and deployment.
• Experience with AI-powered systems (LLMs, ML APIs).
• Proven experience in system integration via REST APIs and external services.
• Experience deploying and supporting applications in production environments.
• Strong problem-solving skills and ability to work in ambiguous, customer-facing scenarios.
• Excellent communication skills with both technical and non-technical stakeholders.

Responsibilities

• Design, build, and deploy AI-powered solutions in real production environments.
• Lead end-to-end integration and implementation of AI-driven products into customer systems.
• Collaborate with Product, Data Science, and Platform Engineering teams using Agile methods.
• Translate customer requirements into scalable technical solutions.
• Provide technical guidance and best practices to customers during adoption.

Skills

Strong communication

Customer-facing

Agile methodologies

Problem solving

Ownership

Fast learning

System integration

Tools

React.js

Python

Node.js

REST APIs

Git

CI/CD (Jenkins/GitHub Actions)

Docker

Kubernetes

AWS/GCP/Azure

Job description

Forward Deployed Engineer at UK

Acuity Analytics, a leading provider of high-value research, analytics, and business intelligence to over 600 financial institutions and consulting companies through our specialist workforce of over 6,000 analysts and delivery experts across our global delivery network. This newly created role is central to Acuity’s ambitious agenda for launching commercially viable and attractive digital products to our existing and new financial service clients.

Acuity Analytics, a leading provider of high-value research, analytics, and business intelligence to over 600 financial institutions and consulting companies through our specialist workforce of over 6,000 analysts and delivery experts across our global delivery network. This newly created role is central to Acuity’s ambitious agenda for launching commercially viable and attractive digital products to our existing and new financial service clients.

We are looking for an experienced Forward Deployed Engineer (FDE) who thrives at the intersection of engineering, product, and customer success. In this role, you will work closely with customers and internal teams to design, integrate, and deploy AI-powered solutions in real-world production environments. You will act as a technical owner from solution design through implementation, ensuring high-impact outcomes and customer satisfaction.

• 8-10 years of professional software engineering experience


• Strong hands-on experience with React.js for building modern, scalable frontend applications.


• Strong backend development experience using Python and Node JS


• Solid understanding of AI/ML concepts, including model lifecycle, inference, and real-world deployment considerations.


• Experience working with AI-powered systems, such as LLMs, ML APIs, or data-driven applications.


• Proven experience in system integration, including REST APIs, webhooks, and external services.


• Experience deploying and supporting applications in production environments.


• Strong problem-solving skills and ability to work in ambiguous, customer-facing scenarios.


• Excellent communication skills, with the ability to explain complex technical concepts to both technical and non-technical stakeholders.


• Proficiency with version control (e.g., Git) and CI/CD pipelines (e.g., Jenkins, GitHub Actions)


• Familiarity with testing frameworks (unit, integration, e2e) and basic security practices (auth, encryption, compliance)


• Work directly with customers to understand business requirements and translate them into scalable technical solutions.


• Design, build, and deploy customer-facing applications using React (frontend) and Python (backend)


• Design systems focusing on forward compatibility, scalability, and maintainability.


• Lead end-to-end integration and implementation of AI-driven products into customer systems and workflows.


• Customize and extend core platforms to meet customer-specific use cases while maintaining long-term maintainability.


• Collaborate closely with Product, Data Science, and Platform Engineering teams using Agile methodologies.


• Troubleshoot production issues, optimize performance, and ensure reliability of deployed solutions.


• Act as a technical advisor to customers, helping them adopt best practices for AI-enabled solutions.


• Contribute to internal tooling, reusable components, and technical documentation.


• Write, test, and maintain code in accordance with organizational standards and project requirements.


• Experience with cloud platforms (AWS, GCP, or Azure)


• Familiarity with containerization and orchestration (Docker, Kubernetes)

Preferred Skills

• Experience with data pipelines, databases (SQL/NoSQL), and analytics tools


• Optimize AI systems for latency, and cost efficiency in production environments.


• Exposure to AI system observability


• Prior experience in customer-facing, consulting, or solutions engineering role.


• Startup or fast-paced product environment experience


• Ready to take ownership of customer success from implementation to scale.


• Eager to work on cutting-edge AI-driven products.


• To perform high impact role in bridging engineering, product, and real-world customer problems


• Fast learning curve and exposure to diverse industries and use cases.