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For Companies At a Glance
- Tasks: Lead the design and delivery of innovative AI solutions from concept to rollout.
- Company: Join a global telecommunications leader driving cutting-edge technology.
- Benefits: Enjoy hybrid work options and competitive pay of circa £550pd.
- Why this job: Be at the forefront of AI innovation, making a real business impact.
- Qualifications: Experience in architecting AI/ML solutions and proficiency in cloud platforms required.
- Other info: Collaborate with top-tier vendors and cross-functional teams for success.
The predicted salary is between 66000 - 77000 £ per year.
A global Telecommunications client is looking for a Senior Solution Architect to lead the design and delivery of innovative AI and GenAI solutions across multiple domains. In this strategic and hands-on role, you’ll play a key part in turning cutting-edge technology into business value—end to end.
Key Responsibilities:
- Own the Solution: Lead architecture and delivery of AI/GenAI use cases from idea to enterprise rollout.
- Drive the Product Lifecycle: Take each use case through discovery, PoC, MVP, pilot, and full deployment.
- Partner with the Best: Collaborate with top-tier third-party vendors, platforms, and internal tech teams.
- Enable Cross-Functional Success: Work closely with IT, Big Data, Security, Digital, and Business Units.
- Innovate with AI: Leverage LLMs, RAG, MLOps, and cloud-native tools to build scalable, secure solutions.
- Ensure Governance: Align with enterprise standards, responsible AI practices, and compliance frameworks.
- Deliver Measurable Impact: Define success metrics and ensure business value is realized at every stage.
Key Skills and Experience:
- Proven experience architecting AI/ML or GenAI solutions in complex, enterprise environments.
- Hands-on expertise with LLMs, NLP, MLOps, RAG pipelines, APIs, and real-time data systems.
- Strong track record in networks, telecom, or customer experience domains (preferred).
- Proficiency in cloud platforms like GCP, AWS, or Azure; plus tools like Kafka, Spark, Snowflake, Databricks.
- Skilled collaborator with excellent stakeholder and vendor management capabilities.
- Confident communicator with the ability to bridge technical and business audiences.
Senior Solutions Architect (City of London) employer: iDPP
Contact Detail:
iDPP Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Solutions Architect (City of London)
✨Tip Number 1
Network with professionals in the AI and telecommunications sectors. Attend industry events, webinars, or meetups to connect with potential colleagues and learn about the latest trends. This can help you gain insights into what companies like ours are looking for in a Senior Solutions Architect.
✨Tip Number 2
Showcase your hands-on experience with relevant technologies. Be prepared to discuss specific projects where you've implemented AI/ML solutions, particularly in complex environments. Highlighting your practical knowledge will set you apart from other candidates.
✨Tip Number 3
Familiarise yourself with our company’s current AI initiatives and projects. Understanding our goals and challenges will allow you to tailor your discussions during interviews, demonstrating your genuine interest and how you can contribute to our success.
✨Tip Number 4
Prepare to discuss your approach to collaboration and stakeholder management. As a Senior Solutions Architect, you'll need to work closely with various teams. Sharing examples of how you've successfully navigated cross-functional projects will show that you're a strong fit for our team.
We think you need these skills to ace Senior Solutions Architect (City of London)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with AI/ML and GenAI solutions. Focus on specific projects where you've led architecture and delivery, and quantify your achievements to demonstrate measurable impact.
Craft a Compelling Cover Letter: In your cover letter, emphasise your hands-on expertise with LLMs, MLOps, and cloud platforms. Discuss how your skills align with the responsibilities of the role and express your enthusiasm for driving innovation in AI.
Showcase Collaboration Skills: Highlight examples of successful collaboration with cross-functional teams in your application. Mention any experience working with third-party vendors or internal tech teams to illustrate your ability to partner effectively.
Demonstrate Communication Skills: Since the role requires bridging technical and business audiences, include examples in your application that showcase your communication skills. This could be through presentations, stakeholder management, or leading discussions on complex topics.
How to prepare for a job interview at iDPP
✨Showcase Your Technical Expertise
Be prepared to discuss your hands-on experience with AI/ML solutions, particularly in complex environments. Highlight specific projects where you've successfully implemented LLMs, MLOps, or cloud-native tools, as this will demonstrate your capability to lead architecture and delivery.
✨Understand the Business Value
Make sure you can articulate how your technical skills translate into business value. Prepare examples of how you've defined success metrics and ensured measurable impact in previous roles, as this aligns with the key responsibilities of the position.
✨Collaborate and Communicate Effectively
Since the role involves working closely with various teams, practice articulating your ideas clearly to both technical and non-technical audiences. Be ready to discuss how you've successfully partnered with stakeholders and vendors in past projects.
✨Stay Updated on Industry Trends
Familiarise yourself with the latest trends in AI and GenAI, especially within telecommunications. Being knowledgeable about current technologies and practices will not only impress your interviewers but also show your commitment to innovation and governance in your work.
