Senior Solutions Architect

JR United Kingdom; Woking; On-site; GBP 70,000 - 100,000; Full time

Job summary

A leading global telecommunications client seeks a Senior Solution Architect to drive the design and delivery of innovative AI and GenAI solutions. This strategic role involves leading projects from concept through deployment, collaborating with top-tier vendors, and ensuring the realization of business value through cutting-edge technology.

Qualifications

• Proven experience architecting AI/ML or GenAI solutions in complex environments.
• Hands-on expertise with LLMs, NLP, MLOps.
• Proficiency in cloud platforms like GCP, AWS, or Azure.

Responsibilities

• Lead architecture and delivery of AI/GenAI use cases from idea to rollout.
• Collaborate with third-party vendors and internal tech teams.
• Ensure delivery aligns with enterprise standards and governance practices.

Skills

AI/ML architecture

LLMs

NLP

MLOps

APIs

Real-time data systems

Cloud platforms (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.