AI Solution Architect

TestYantra Software Solutions; London; On-site; GBP 85,000 - 110,000; Full time

Job summary

A technology solutions provider in London is seeking an experienced AI Solution Architect. You will lead the design and delivery of AI solutions within the telecom sector, ensuring scalability and compliance. The ideal candidate has over 10 years in IT with substantial experience in AI/ML architectures and proven stakeholder management skills.

Qualifications

• 10+ years in IT/Tech with 4+ years in AI/ML solution design.
• Proven experience in LLMs, MLOps, and enterprise architecture.
• Excellent communication skills with stakeholders.

Responsibilities

• Lead the architecture of AI solutions across the enterprise.
• Partner with business leaders for AI transformation opportunities.
• Present AI strategies to senior stakeholders.

Skills

Architect scalable AI solutions

MLOps best practices

Stakeholder management

Data integration

Tools

AWS Bedrock

LangGraph

MCP

Job description

Overview

We are seeking an experienced AI Solution Architect to lead the design and delivery of an enterprise-wide AI platform within the telecom sector. The role requires a strategic leader who can architect scalable solutions using LLMs, Agentic AI, and translate business needs into robust AI-powered customer and employee experiences.

Responsibilities

• Lead the architecture, design, and governance of AI/GenAI solutions across the enterprise.
• Define and oversee implementation of agent-based architectures using AWS Bedrock, LangGraph, and MCP.
• Partner with business leaders to identify opportunities for AI-powered transformation across customer and employee journeys.
• Ensure AI systems are designed with security, scalability, observability, and compliance in mind.
• Guide technical teams on best practices in MLOps, data integration, and lifecycle management.
• Present AI strategies and solutions to senior stakeholders and clients, aligning technology with business outcomes.
• Collaborate with cross-functional teams to ensure smooth delivery and adoption of AI solutions.

Qualifications & Experience

• 10+ years in IT/Technology with 4+ years in AI/ML solution design and architecture.
• Proven experience with LLMs, AWS Bedrock, Agentic AI, LangGraph, MCP, RAG architectures, and MLOps.
• Strong background in enterprise architecture and integration with existing IT ecosystems.
• Telecom experience strongly preferred; other regulated/large-scale industries also considered.
• Excellent leadership, stakeholder management, and communication skills.
• Ability to bridge technical and business domains, delivering solutions that drive ROI.