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

Nominate & Attend

Enterprise Solutions Architect

Irtish Consulting
London
8 months ago
Applications closed

Related Jobs

View all jobs

Senior Solutions Architect

Artificial Intelligence Engineer

Artificial Intelligence Engineer

Chief Data Scientist

Senior Software Engineer - Machine Learning

Data Scientist

An Enterprise Solutions Architect who will be responsible for the overall design and implementation solutions within our clients. This role requires a strategic thinker with a strong technical background, capable of understanding the big picture and translating business needs into robust and scalable technology solutions.

Duties & Responsibilities:

  • Develop and maintain an enterprise architecture framework aligning IT strategies with business goals, regulatory requirements, and industry best practices.
  • Design and implement enterprise-level solutions that are scalable, secure, and compliant with BFSI standards.
  • Create architecture models and documentation for applications, data, and infrastructure (BFSI experience will be better).
  • Evaluate and select appropriate technologies, platforms, and vendors to meet BFSI-specific needs.
  • Develop and contribute to requirements for technical solutions.
  • Design architectural views of both current and target states, driving business processes and technical services.
  • Identify and mitigate technical risks associated with the architecture.
  • Work with Pre-Sales and Post-Sales engineers and technology partners to resolve complex technical issues.
  • Own white papers, analyst relationships, and blogs.
  • Present to potential customers on complex operating systems and design value-driven architectures.
  • Provide technical consulting on issues related to Product Lifecycle Management (PLM) software.
  • Design business processes and application configuration for Oracle Agile PLM applications.
  • Assess feasibility and ramifications of new business requirements.
  • Interpret technical documents and contribute to test strategy.

Qualifications:

  • Education: Bachelor’s or Master’s Degree in Computer Science, IT Management, Engineering, or related fields.
  • Certifications: AWS, TOGAF, PMP, PMI, SA, CCSK, CISSP, EDAC, CCIE, ITIL are advantageous.
  • Experience: 15+ years in a Solutions Architect role.

Skills:

  • Software development tools and methodologies.
  • Big Data Analytics, Cloud native architectures, Complex networking implementations.
  • DevOps, Enterprise workloads, Highly secured workloads, Machine Learning.

Job Types:Full-time, Fixed term contract
Contract length: 12 months

Pay:Up to £100,000.00 per year

Benefits:

  • Company car
  • Company pension
  • On-site parking

J-18808-Ljbffr

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.

Return-to-Work Pathways: Relaunch Your AI Career with Returnships, Flexible & Hybrid Roles

Stepping back into the workplace after a career break can feel like embarking on a whole new journey—especially in a cutting-edge field such as artificial intelligence (AI). For parents and carers, the challenge isn’t just refreshing your technical know-how but also securing a role that respects your family commitments. Fortunately, the UK’s tech sector now boasts a wealth of return-to-work programmes—from formal returnships to flexible and hybrid opportunities. These pathways are designed to bridge the gap, equipping you with refreshed skills, confidence and a supportive network. In this comprehensive guide, you’ll discover how to: Understand the booming demand for AI talent in the UK Leverage transferable skills honed during your break Overcome common re-entry challenges Build your AI skillset with targeted training Tap into returnship and re-entry programmes Find flexible, hybrid and full-time AI roles that suit your lifestyle Balance professional growth with caring responsibilities Master applications, interviews and networking Whether you’re returning after maternity leave, eldercare duties or another life chapter, this article will equip you with practical steps, resources and insider tips.

LinkedIn Profile Checklist for AI Jobs: 10 Tweaks That Triple Recruiter Views

In today’s fiercely competitive AI job market, simply having a LinkedIn profile isn’t enough. Recruiters and hiring managers routinely scout for top talent in machine learning, data science, natural language processing, computer vision and beyond—sometimes before roles are even posted. With hundreds of applicants vying for each role, you need a profile that’s optimised for search, speaks directly to AI-specific skills, and showcases measurable impact. By following this step-by-step LinkedIn for AI jobs checklist, you’ll make ten strategic tweaks that can triple recruiter views and position you as a leading AI professional. Whether you’re a fresh graduate aiming for your first AI position or a seasoned expert targeting a senior role, these actionable changes will ensure your profile stands out in feeds, search results and recruiter queues. Let’s dive in.

Part-Time Study Routes That Lead to AI Jobs: Evening Courses, Bootcamps & Online Masters

Artificial intelligence (AI) is reshaping industries at an unprecedented pace. From automating mundane tasks in finance to driving innovation in healthcare diagnostics, the demand for AI-skilled professionals is skyrocketing. In the United Kingdom alone, AI is forecast to deliver over £400 billion to the economy by 2030 and generate millions of new jobs across sectors. Yet, for many ambitious professionals, taking time away from work to upskill can feel like an impossible ask. Thankfully, part-time learning options have proliferated: evening courses, intensive bootcamps and flexible online master’s programmes empower you to learn AI while working. This comprehensive guide explores every route—from short tasters to deep-dive MScs—showcasing providers, course formats, funding options and practical tips. Whether you’re a career changer, a busy manager or a self-taught developer keen to go further, you’ll discover a pathway to fit your schedule, budget and goals.