Senior Solutions Architect

JR United Kingdom; Dartford; On-site; GBP 70,000 - 90,000; Full time

Job summary

A global Telecommunications client is seeking a Senior Solution Architect to innovate and deliver AI and GenAI solutions. This strategic role will lead architecture from concept to enterprise rollout, driving product lifecycle and ensuring compliance through collaboration with top-tier vendors and internal teams.

Qualifications

• Proven experience architecting AI/ML or GenAI solutions in enterprise environments.
• Hands-on expertise with LLMs, NLP, MLOps, and real-time data systems.
• Strong track record in networks or customer experience domains preferred.

Responsibilities

• Lead architecture and delivery of AI/GenAI use cases from idea to rollout.
• Drive each use case through discovery, PoC, MVP, pilot, and deployment.
• Work with IT, Big Data, and Business Units.

Skills

AI/ML Solutions Architecture

Collaboration

Stakeholder Management

Communication

Technical Expertise

Tools

GCP

AWS

Azure

Kafka

Spark

Snowflake

Databricks

Job description

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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.