Senior Solutions Architect

Senior Solutions Architect

Mobile Networks & Agentic AI

Remote - Monthly Onsite Visit to Newbury

We are supporting an innovative technology organisation seeking a highly experienced Senior Solutions Architect to help shape and deliver advanced AI-driven solutions for the telecommunications sector.

This is a senior, highly visible role sitting at the intersection of mobile network architecture, autonomous networks and agentic AI. You will work closely with customers to understand complex operational challenges, define compelling technical solutions and provide architectural leadership throughout the customer journey.

The successful candidate will combine deep telecoms knowledge with a strong understanding of modern AI architectures. Just as importantly, you will have the credibility, communication skills and presence required to engage confidently with senior customer stakeholders.

The Opportunity

You will take a leading role in designing AI-enabled solutions for mobile and fixed telecommunications environments, translating customer requirements into scalable technical architectures and practical implementation plans.

The role will involve:

* Leading customer-facing technical discovery and solution-design workshops

* Understanding customer challenges across mobile network architecture, operations and automation

* Designing autonomous and AI-assisted network use cases

* Defining scalable agentic AI architectures for complex telecom environments

* Translating technical concepts into clear business and operational outcomes

* Acting as a trusted technical adviser to senior customer stakeholders

* Supporting technical implementation teams throughout solution delivery

* Providing architectural governance across customer projects

* Helping customers understand how AI, automation and network data can improve performance, resilience and operational efficiency

What We Are Looking For

You will be a senior telecommunications architect with significant experience working in customer-facing environments.

Essential experience includes:

* Strong architecture experience within mobile telecommunications networks

* A solid understanding of mobile network domains such as RAN, Core, transport or OSS

* Experience designing complex technical solutions for telecom operators or network technology providers

* Knowledge of autonomous, self-optimising or self-healing network concepts

* Strong understanding of agentic AI, generative AI or AI-enabled automation

* Experience developing use cases that connect network data, operational workflows and AI decision-making

* The ability to lead technical conversations with both engineering teams and senior customer stakeholders

* Excellent presentation, workshop-facilitation and stakeholder-management skills

* The confidence and presence to represent technical solutions at a senior level

Agentic AI Experience

We are particularly interested in candidates with experience or strong knowledge of:

* Multi-agent or agent-based solution architectures

* Retrieval-augmented generation and semantic search

* Data correlation and entity-relationship mapping

* Network telemetry and real-time operational data

* Vector or graph databases

* Context management and token optimisation

* Prompt engineering and agent reasoning

* AI model performance, latency and inference-cost optimisation

* Scalable cloud-based AI deployment

Experience with technologies such as Lang Graph, Lang Chain, Llama Index, Auto Gen, Google Vertex AI, Gemini, Big Query, Qdrant, ChromaDB, Pinecone, Weaviate or Milvus would be valuable.

Network Programmability

Hands-on network programmability experience is not essential, but you should understand the technologies and tools likely to be used by technical implementation teams.

Relevant knowledge could include:

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