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- Tasks: Lead the design and delivery of AI/GenAI projects in telecoms.
- Company: Join a global managed service provider with exciting projects.
- Benefits: Enjoy flexible working options and competitive contract rates.
- Why this job: Make a real impact in tech while working on innovative solutions.
- Qualifications: Experience with AWS, Azure, GCP, and big data technologies required.
- Other info: Contract role with opportunities for growth and networking.
The predicted salary is between 60000 - 84000 £ per year.
ECS Resource Group are currently working in partnership with a global managed service provider, assisting them with the search for a Senior Solutions Architect on a contract basis. The successful candidate will be working with a Telecoms end client across various projects.
Responsibilities include:
- Design, architect, and lead end-to-end delivery of AI/GenAI use cases in networks and CX.
- Own the full lifecycle of each use case, from initial discovery and PoC to MVP development, pilot rollout, and enterprise-wide implementation.
- Work with stakeholders to define success criteria, monitor impact, and ensure measurable value is delivered at each stage of implementation.
Requirements:
- Excellent experience working with cloud platforms such as Azure, AWS & GCP.
- Strong background with big data technologies such as Spark, Snowflake & Kafka.
Senior Solutions Architect (AWS) (Contract) employer: ECS Resource Group
Contact Detail:
ECS Resource Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Solutions Architect (AWS) (Contract)
✨Tip Number 1
Network with professionals in the cloud computing and telecoms sectors. Attend industry events, webinars, or meetups to connect with potential colleagues or employers who might have insights into the role of a Senior Solutions Architect.
✨Tip Number 2
Familiarise yourself with the latest trends in AI and GenAI use cases within networks and customer experience. Being able to discuss current innovations and how they can be applied will set you apart during interviews.
✨Tip Number 3
Prepare to demonstrate your experience with product lifecycle management. Be ready to share specific examples of how you've led projects from discovery to implementation, highlighting your ability to deliver measurable value.
✨Tip Number 4
Brush up on your knowledge of big data technologies like Spark, Snowflake, and Kafka. Having practical examples of how you've used these tools in previous roles will show your technical expertise and readiness for the position.
We think you need these skills to ace Senior Solutions Architect (AWS) (Contract)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in cloud platforms like AWS, Azure, and GCP. Emphasise your background with big data technologies such as Spark, Snowflake, and Kafka, as these are crucial for the role.
Craft a Compelling Cover Letter: In your cover letter, demonstrate your understanding of AI/GenAI use cases and your experience in leading projects from discovery to implementation. Use specific examples to showcase your product lifecycle leadership skills.
Highlight Stakeholder Engagement: Discuss your experience working with stakeholders to define success criteria and monitor project impact. This is key for the role, so provide concrete examples of how you've ensured measurable value in past projects.
Proofread Your Application: Before submitting, carefully proofread your application for any errors or inconsistencies. A polished application reflects your attention to detail, which is essential for a Senior Solutions Architect.
How to prepare for a job interview at ECS Resource Group
✨Showcase Your Cloud Expertise
Make sure to highlight your experience with cloud platforms like AWS, Azure, and GCP. Be prepared to discuss specific projects where you've successfully implemented solutions using these technologies.
✨Demonstrate Your Project Leadership Skills
Since the role involves leading end-to-end delivery, share examples of how you've managed projects from discovery to implementation. Discuss your approach to stakeholder engagement and how you define success criteria.
✨Familiarise Yourself with AI/GenAI Use Cases
Research common AI and GenAI use cases in telecoms and be ready to discuss how you would approach designing and implementing these solutions. This will show your proactive interest in the industry.
✨Prepare for Technical Questions
Expect technical questions related to big data technologies like Spark, Snowflake, and Kafka. Brush up on your knowledge and be ready to explain how you've used these tools in past projects.
