National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Software Architect, Intelligent Automation

SS&C Technologies Holdings
10 months ago
Applications closed

Related Jobs

View all jobs

Principal Data Scientist - AI

Machine Learning Engineer - Bioimage Data & Agentic Systems

Senior Software/Data Engineering Lead

Lead Software Engineer

Data Engineer

Data Engineer

Job Description

SS&C Blue Prism

SS&C Blue Prism allows organizations to deliver transformational business value via our intelligent automation platform. We make products with one aim in mind - to improve experiences for people. By connecting people and digital workers you can use the right resource, every time, for the best customer and business outcomes. We supply enterprise-wide software that not only provides full control and governance, but also allows businesses to react fast to continuous change.

 Exceed customer expectations, stay competitive, accelerate growth.

About the Role


We now seek a highly skilledSoftware Architectto join our dynamic team. As a Software Architect, you will be responsible for designing and implementing the overall structure of our software systems. You will collaborate with cross-functional teams to ensure the successful delivery of high-quality software solutions that meet our clients' needs. The ideal candidate will have a strong background in software development, excellent problem-solving skills, and a deep understanding of software architecture principles.

The successful candidate will be a strong collaborative team player who thrives on technical challenges, applies sound judgment and enjoys working as part of an agile team.

Your Responsibilities

  • Work closely with development team leads and senior developers to guide the evolution of our software towards a scalable, reliable, highly available and maintainable architecture.
  • Identify and mitigate technical risks and issues, ensuring timely resolution
  • Work with upper management and solution architect to define the business's longer-term technical vision.
  • When in a sprint team, work closely alongside product owners, developers, QA, etc. to ensure epics/user stories are delivered to high quality and pragmatically.
  • Define prototype/reference architectures to serve as blueprints during implementation.
  • Stay up-to-date with emerging technologies and industry trends, and recommend innovative solutions to enhance our software systems.

Your Experience

We seek proven experience as a Software Architect or a similar role, with a strong background in .NET C# software development.

Scalable distributed systems and experience with several of the following:

  • In-depth knowledge of software architecture principles, design patterns, and best practices.
  • Enterprise .NET development experience (8+ years) and in-depth knowledge of .NET eco-system (commercial and open source libraries, platforms etc.)
  • Database design, ORMs, efficient data access
  • OO design, modelling of complex domains, Domain Driven Design
  • Agile development practices includeClean Code, Code Complete, TDD, Unit Testing, Continuous Integration and Continuous Delivery.

Desirable skills:

  • Experience with alternative languages, application development frameworks and technologies, e.g. Python, node.js, Ruby
  • AI/Machine Learning/Computer Vision
  • Alternative RDBMS and NoSQL data stores
  • Containerisation and orchestration
  • Experience with cloud-based technologies and microservices architecture.

EEO Statement / Non-agency Disclosure

We encourage applications from people of all backgrounds and particularly welcome applications from under-represented groups, to enable us to bring a diversity of perspectives to our thinking and conversation. It's important to us that we strive to have a workforce that is diverse in the widest sense.

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How to Get a Better Machine Learning Job After a Lay-Off or Redundancy

Redundancy in machine learning can feel especially frustrating when your role was technically advanced, strategically important, or AI-facing. But the UK still has strong demand for machine learning professionals across fintech, healthtech, retail, cybersecurity, autonomous systems, and generative AI. Whether you're a research-oriented ML engineer, production-focused MLOps developer, or applied scientist, this guide is designed to help you bounce back from redundancy and find a better opportunity that suits your goals.

Machine Learning Jobs Salary Calculator 2025: Figure Out Your True Worth in Seconds

Why last year’s pay survey is useless for UK ML professionals today Ask a Machine Learning Engineer wrangling transformer checkpoints, an MLOps Lead firefighting drift alarms, or a Research Scientist training diffusion models at 3 a.m.: “Am I earning what I deserve?” The honest answer changes monthly. A single OpenAI model drop doubles GPU demand, healthcare regulators release fresh explainability guidance, & a fintech unicorn pays six figures for vector‑search expertise. Each shock nudges salary bands. Any PDF salary guide printed in 2024 now looks like an outdated Jupyter notebook—missing the gen‑AI tsunami, the surge in edge inference, & the UK’s new Responsible‑AI framework. To give ML professionals an accurate benchmark, MachineLearningJobs.co.uk distilled a transparent, three‑factor formula that estimates a realistic 2025 salary in under a minute. Feed in your discipline, UK region, & seniority; you’ll receive a defensible figure—no stale averages, no guesswork. This article unpacks the formula, highlights the forces driving ML pay skyward, & offers five practical moves to boost your value inside the next ninety days.

How to Present Machine Learning Solutions to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

Machine learning is driving change across nearly every industry—from retail and finance to health and logistics. But while the technology continues to evolve rapidly, the ability to communicate it clearly has become just as important as building the models themselves. Whether you're applying for a junior ML engineer role, a research position, or a client-facing AI consultant job, UK employers increasingly expect candidates to explain complex machine learning solutions to non-technical audiences. In this guide, you’ll learn how to confidently present your work, structure your message, use simple visuals, and explain the real-world value of machine learning in a way that makes sense to people without a background in data science.