Workday

Forward Deployment Engineer

Workday

full-time

Posted on:

Location Type: Office

Location: Glasgow • United Kingdom

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Tech Stack

AWSAzureCloudJavaScriptPythonReact

About the role

  • Design, develop and improve software, utilising various engineering methodologies, that provides business, platform, and technology capabilities for our customers and colleagues.
  • Development and delivery of high-quality software solutions by using industry aligned programming languages, frameworks, and tools.
  • Ensuring that code is scalable, maintainable, and optimized for performance.
  • Cross-functional collaboration with product managers, designers, and other engineers to define software requirements, devise solution strategies, and ensure seamless integration and alignment with business objectives.
  • Collaboration with peers, participate in code reviews, and promote a culture of code quality and knowledge sharing.
  • Stay informed of industry technology trends and innovations and actively contribute to the organization’s technology communities to foster a culture of technical excellence and growth.

Requirements

  • Good technical experience in AI/ML with experience developing and deploying solutions using LLMs, RAG architectures, and modern AI frameworks and protocols (Strands, FastMCP, LangChain, LlamaIndex, Hugging Face, A2A, MCP).
  • Ability to translate multi-layered business problems into technical solutions with experience working directly with business stakeholders to understand requirements and deliver production systems.
  • Experience in delivering in financial environments including one or more of the following: investment banking, risk, compliance, or relevant domain with understanding of regulatory considerations and responsible AI practices.
  • Solid software engineering foundation with proficiency in Python, cloud platforms (AWS/Azure), APIs, and full-stack development to rapidly prototype and productionise AI applications.
  • Experience with MLOps practices including model deployment, monitoring, evaluation, and CI/CD pipelines with delivering AI solutions from concept to production.
  • Excellent communication and consulting skills with ability to build trust, manage stakeholder expectations, and drive AI capabilities across diverse business units.
  • Experience with vector databases, prompt engineering, fine-tuning, understanding of when to apply different AI approaches to business problems.
  • Knowledge of data engineering, analytics, and visualisation tools to support end-to-end solution delivery including data pipelines and user interfaces.
  • Experience with React/JS Frameworks
Benefits
  • Adherence to secure coding practices to mitigate vulnerabilities, protect sensitive data, and ensure secure software solutions.
  • Implementation of effective unit testing practices to ensure proper code design, readability, and reliability.
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
AIMLLLMsRAG architecturesPythonAPIsfull-stack developmentMLOpsReactJS Frameworks
Soft Skills
communicationconsultingstakeholder managementtrust building