Senior Solutions Architect

JR United Kingdom; Wolverhampton; Hybrid; GBP 75,000 - 120,000; Full time

Job summary

A global telecommunications client seeks a Senior Solutions Architect in Wolverhampton to spearhead AI and GenAI solutions. You will own the design and delivery processes, partnering across departments to ensure business value is achieved. Applicants should have a proven track record in developing AI/ML solutions within enterprise environments and possess strong stakeholder management capabilities.

Qualifications

• Proven experience architecting AI/ML or GenAI solutions in complex, enterprise environments.
• Hands-on expertise with LLMs, NLP, MLOps, and real-time data systems.

Responsibilities

• Lead architecture and delivery of AI/GenAI use cases from idea to enterprise rollout.
• Collaborate with top-tier third-party vendors and internal tech teams.

Skills

AI/ML solutions architecture

NLP

MLOps

Stakeholder management

Tools

GCP

AWS

Azure

Kafka

Spark

Snowflake

Databricks

Job description

Social network you want to login/join with:

Senior Solutions Architect, Wolverhampton

Client: idpp

Location:

Job Category:

Other

-

EU work permit required:

Yes

Job Views: 2

Posted:

06.06.2025

Expiry Date:

21.07.2025

Job Description:

Senior Solution Architect – AI & GenAI

London – Hybrid

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.