Senior AI Platform Engineer - Enterprise AI & Automation

Reed Technology; Sheffield; On-site; GBP 60,000 - 95,000; Full time

Job summary

Reed Technology in Sheffield is seeking an AI Engineer to design, implement, and manage enterprise AI platforms, intelligent agents, and supporting infrastructure.

You will combine hands-on delivery with strategic input, ensuring AI solutions are scalable, secure, and aligned with organisational objectives across cloud and on‑prem environments.

The role covers governance, collaboration with cross‑functional teams, and driving AI adoption while shaping architectural decisions and best practices.

Qualifications

• Proven experience designing, building, and deploying AI/ML solutions in enterprise environments.
• Strong Python development skills.
• Experience integrating REST APIs.
• Hands-on Docker and Kubernetes experience.
• Knowledge of vector databases, embeddings, RAG architectures, and LLM orchestration.
• Experience with cloud technologies, networking, IAM, and security controls.
• Experience integrating AI solutions with Microsoft 365 technologies, collaboration platforms, and SQL-based databases.
• Ability to translate complex technical concepts for non-technical stakeholders.

Responsibilities

• Design, implement, and maintain enterprise AI infrastructure across cloud and on-premise environments.
• Develop scalable architectures for AI workloads including model hosting, vector databases, orchestration, APIs, and data pipelines.
• Integrate AI platforms with business-critical systems, data platforms, collaboration tools, and operational applications.
• Produce and maintain architecture documentation, operational procedures, and technical standards.
• Design, develop, and manage AI agents, copilots, and workflow automation solutions.
• Build Retrieval-Augmented Generation (RAG) applications leveraging internal business data.
• Develop intelligent assistants supporting operational, engineering, customer service, and business functions.
• Monitor and optimise AI solution performance, reliability, security, and cost efficiency.
• Maintain governance and compliance with security and lifecycle policies.

Skills

Python

REST APIs

Docker

Kubernetes

AI/ML

Cloud technologies

Security controls

SQL databases

Microsoft 365 integrations

Stakeholder communication

Tools

LangGraph

n8n

CrewAI

AutoGen

Job description

Reed Technology in Sheffield is seeking an AI Engineer to design, implement, and manage enterprise AI platforms, intelligent agents, and supporting infrastructure.

You will combine hands-on delivery with strategic input, ensuring AI solutions are scalable, secure, and aligned with organisational objectives across cloud and on‑prem environments.

The role covers governance, collaboration with cross‑functional teams, and driving AI adoption while shaping architectural decisions and best practices.