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- 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 - 88000 £ 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 employer: iDPP
Contact Detail:
iDPP Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Solutions Architect
✨Tip Number 1
Familiarise yourself with the latest trends in AI and GenAI solutions. Being well-versed in current technologies and methodologies will not only boost your confidence but also demonstrate your commitment to innovation during discussions.
✨Tip Number 2
Network with professionals in the telecommunications and AI sectors. Attend industry events, webinars, or meetups to connect with potential colleagues and learn about their experiences. This can provide valuable insights and may even lead to referrals.
✨Tip Number 3
Prepare to discuss specific use cases where you've successfully implemented AI/GenAI solutions. Be ready to share measurable outcomes and how you navigated challenges, as this will showcase your hands-on expertise and problem-solving skills.
✨Tip Number 4
Research the company’s existing AI initiatives and projects. Understanding their current landscape will allow you to tailor your conversations and demonstrate how your skills can directly contribute to their goals and objectives.
We think you need these skills to ace Senior Solutions Architect
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. Mention how your skills align with the key responsibilities of the role and express your enthusiasm for driving innovation in telecommunications.
Showcase Collaboration Skills: Highlight examples of successful collaboration with cross-functional teams in your application. This could include working with IT, Big Data, or security teams, as well as managing vendor relationships effectively.
Demonstrate Communication Skills: Since the role requires bridging technical and business audiences, provide examples in your application that showcase your ability to communicate complex ideas clearly and effectively to diverse stakeholders.
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 LLMs and MLOps. Highlight specific projects where you've architected solutions, focusing on the technologies you used and the impact they had.
✨Demonstrate Your Collaborative Skills
Since this role involves partnering with various teams and vendors, share examples of how you've successfully collaborated in cross-functional environments. Emphasise your ability to communicate effectively with both technical and non-technical stakeholders.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills in real-world scenarios. Think about how you would approach the product lifecycle from discovery to deployment, and be ready to explain your thought process clearly.
✨Align with Governance and Compliance Standards
Familiarise yourself with responsible AI practices and compliance frameworks relevant to the telecommunications industry. Be ready to discuss how you ensure governance in your architectural designs and implementations.
