Software Engineer - AI & Platform Engineering

Software Engineering Professional 2

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About the role

We are seeking a Software Engineering Professional to join our AI Factory, reliable for Subtle, building, deploying, and operating AI powered solutions at scale. This role sits at the intersection of AI engineering, agent orchestration, platform engineering, and DevOps, with a strong emphasis on production grade AI, environment management, and using AI to accelerate software delivery.
You will play a key role in enabling secure, scalable, and cost efficient AI platforms, promoting use cases such as AI agents, copilots, intelligent automation, and AI assisted development, while ensuring strong governance across dev, test, and production environments.

What you’ll be doing

AI Engineering & Agent Development
•    Design and build AI driven services, agents, and copilots using LLMs, embeddings, vector databases, and orchestration frameworks
•    Develop and deploy agent based architectures, including tool calling, work flow agents, multi agent systems
•    Integrate AI capabilities into enterprise platforms and digital products using APIs and event driven patterns
•    Apply prompt engineering, retrieval augmented generation (RAG), and evaluation techniquesand to ensure accuracy and reliability

AI Platform & Environment Management
•    Design and manage AI environments (Dev / Test / Beta / Prod) with clear separation, controls, and promotion paths
•    Implement environment guardrails covering access control, data isolation, token usage, cost limits, and compliance
•    Define reusable environment blueprints and deployment patterns for AI workloads
•    Support multi tenant and multi use case AI platforms with chargeback/showback models

DevOps & MLOps for AI
•    Build and maintain CI/CD pipelines for AI and agent deployments, including model, prompt, and configuration versioning
•    Automate testing, validation, and rollout of AI services using infrastructure as code and pipeline automation
•    Implement monitoring and observability for AI systems (latency, cost, drift, quality, failures)
•    Ensure reliability, scalability, and resilience of AI workloads in production

AI Assisted Software Engineering
•    Leverage AI tools and copilots to accelerate software development, testing, documentation, and code review
•    Embed AI into developer workflows to improve productivity, quality, and time to market
•    Champion best practices for secure and reliable use of AI in software engineering
•    Continuously evaluate emerging AI engineering tools and frameworks

Governance, Security & Reliable AI
•    Ensure AI solutions comply with security, privacy, and reliable AI standards
•    Implement controls for data usage, prompt safety, hallucination mitigation, and auditability
•    Contribute to AI governance frameworks covering lifecycle management, approvals, and risk management
•    Work closely with architecture, security, legal, and compliance teams

Collaboration & Leadership
•    Partner with product owners, architects, platform teams, and business stakeholders to deliver AI use cases
•    Provide technical leadership and mentoring on AI engineering and DevOps practices
•    Contribute to reusable assets, reference architectures, and internal AI standards

Essential Skills / Experience

Core Technical Skills
•    Strong software engineering background in Java, Python, or similar languages with 3+ years and AI experience of 1+ years
•    Hands on experience with LLMs, AI agents, RAG patterns, and AI orchestration frameworks 
•    Experience deploying AI solutions on cloud platforms (Azure, AWS, or GCP)
•    Solid understanding of DevOps practices, CI/CD, and infrastructure as code
•    Experience with containerisation and orchestration (Docker, Kubernetes)
AI & Platform Engineering
•    Experience managing multi environment AI platforms (dev/test/prod)
•    Knowledge of token management, cost optimisation, and usage monitoring for AI services
•    Familiarity with vector stores, embeddings, and AI evaluation techniques
•    Understanding of MLOps / AIOps concepts, even if models are externally provided
Enterprise & Non Functional Skills
•    Strong understanding of security, privacy, and compliance in enterprise systems
•    Experience building production grade, scalable, and resilient platforms
•    Ability to balance speed of innovation with governance and control

Desirable Skills / Experience

•    Experience with Copilot platforms, agent frameworks, or conversational AI
•    Exposure to ServiceNow Now Assist, Copilot Studio, or similar AI platforms
•    Experience in large scale enterprise transformation or AI factory models
•    Knowledge of FinOps / cost optimisation for AI workloads

BT Group is the UK’s leading communications group and the holding company behind some of the country’s most recognised brands – including BT, EE, Openreach and Plusnet. Our purpose is as simple as it is ambitious: we connect for good.  Our customers include consumers, small, medium and large businesses, public sector organisations and other communications providers. 

BT Group’s role is about setting direction, unlocking value and creating the conditions for our brands and businesses to thrive.

Having come through the most capital-intensive phase of our fibre investment, our focus now is on what comes next – simplifying how we operate, using technology and AI to work smarter, and organising ourselves to serve customers better and grow sustainably. Group teams shape strategy, policy, brand, capital allocation and transformation, helping the whole organisation perform at its best.

We have a singular culture that unites all our people: we are customer-first challengers, who are committed, clear and connected. These behaviours unite us as one team to deliver for our colleagues, our customers, our stakeholders and the country.   Joining BT Group means working at the heart of a business that matters to the UK, with the opportunity to shape decisions, influence outcomes and help set the future course of one of the country’s most important companies.

Experience Level

Mid Level