Forward Deployed Engineer - AI
| Posting date: | 24 November 2025 |
|---|---|
| Salary: | Not specified |
| Additional salary information: | Competitive |
| Hours: | Full time |
| Closing date: | 24 December 2025 |
| Location: | Howden or London |
| Company: | PA Media Group |
| Job type: | Permanent |
| Job reference: | 1592 |
Summary
Job Advert
Join PA Media Group's new AI Enablement team as a founding senior engineer who lives at the bleeding edge of AI-native
development. This isn't traditional software engineering - you'll leverage agentic engineering approaches, Claude Code, and the
latest AI capabilities to ship solutions at unprecedented velocity, moving from concept to working prototype in days whilst
pushing the boundaries of what's technically possible.
Working in the latest technologies and partnering tightly with the Product Owner - AI, you'll be embedded directly with business
teams across PA Media, Alamy, Podium, StreamAMG, and Press Release & Marketing Services. You'll experiment relentlessly, iterate
rapidly, and enable business success through technology that others haven't figured out how to build yet. This is senior-level
engineering for those who thrive on high energy, constant innovation, and the freedom to explore emerging capabilities before they
become mainstream.
The Opportunity
This is a founding senior engineer role in PA Media Group's new AI Enablement team. You won't just build AI systems - you'll
define what AI-native engineering means for the organisation. We're deliberately keeping the team tiny, giving you extraordinary
autonomy to experiment, fail fast, and establish patterns that scale. This is the opposite of corporate engineering: no lengthy
approval processes, no legacy constraints slowing you down, just smart engineers moving at startup velocity within a 150+ year
institution.
You'll work differently from traditional engineering roles - you're forward deployed. You’re embedded with the teams who'll use
what you build, getting feedback in real-time, iterating based on actual usage patterns, and seeing your code make immediate
tangible impact. You'll move between news production, visual content licensing, sports analytics, streaming platforms, and press
distribution - solving wildly different technical challenges whilst building your understanding of what AI can achieve across
diverse contexts.
The technical environment rewards innovation and experimentation. You'll have permission to try emerging capabilities, leverage
cutting-edge AI platforms before they're mainstream, and push boundaries that more conservative organisations can't justify. We
expect some experiments to fail - that's the cost of experimentation. What matters is velocity of learning, speed of iteration,
and the ability to scale successes aggressively when you discover approaches that work.
The problems you'll tackle matter beyond technical curiosity: enabling journalists to work faster without sacrificing accuracy,
helping visual content discovery at unprecedented scale, powering sports analytics with AI-enhanced insights, maintaining trust
that defines our heritage whilst embracing transformative technology. This is AI-native engineering at its finest - where your
code doesn't just ship features but defines how a heritage institution leads digital transformation rather than follows it. If
you're energised by working at the absolute cutting edge, this is your opportunity.
Our Values
As a key member of the PA Media Group team, your daily work, interactions, and decision-making should reflect and uphold our core
company values:
* Integrity: Acting with trustworthiness, fairness, and accountability in everything we do.
* Ambition: Setting bold goals, striving for excellence, and inspiring progress.
* Innovation: Being curious, solving problems, and embracing a creative future. We constantly ask 'how might we?' to reimagine
what's possible.
* Collaboration: Building meaningful connections, valuing diverse perspectives, and achieving more together.
These values are at the heart of our culture and guide us in delivering exceptional products, services, and experiences for our
customers and partners.
Key Responsibilities
Core Responsibilities
* Ship AI-powered solutions at velocity using AI-native development approaches - leveraging Claude Code and agentic engineering
techniques to build in hours what traditionally takes days, constantly exploring how AI can accelerate your own engineering
workflow whilst solving business problems.
* Build rapid proof-of-concepts embedded directly with business teams - moving from requirements to working demonstration with
astonishing speed, using technologies such as TypeScript/Node.js/AWS to create solutions users can touch and test immediately
in their actual working environment.
* Push technical boundaries through continuous experimentation with emerging AI capabilities - you're always testing new models,
techniques, and agentic approaches, determining what's hype versus what unlocks genuine business value before the competition
recognises the opportunity.
* Partner closely with the Product Owner - AI to translate validated opportunities into technical reality, turning business
requirements into elegant architecture whilst ensuring rapid prototypes can evolve into production systems that scale.
* Engineer sophisticated solutions using modern AI platforms and APIs - building agentic systems, implementing RAG architectures,
and creating multi-step workflows that leverage OpenAI, Anthropic, and emerging providers to deliver capabilities impossible
six months ago.
* Enable business success by making AI accessible - creating APIs, integration patterns, and developer experiences that allow
other teams to leverage your AI capabilities without needing your deep expertise, multiplying impact across the organisation.
Strategic Contributions
* Establish AI-native engineering practices that accelerate the entire organisation - demonstrating how tools like Claude Code
transform development velocity, creating reusable agentic patterns, and building technical capability that didn't exist before.
* Design and implement lightweight technical standards for responsible and ethical AI deployment - defining pragmatic guardrails
that protect quality without killing velocity, establishing evaluation frameworks that enable rapid iteration with appropriate
risk management.
* Build a library of proven technical patterns and reusable components - creating the building blocks that turn weeks of custom
development into days of configuration, accelerating every subsequent AI implementation across the portfolio.
* Lead through demonstration rather than documentation - shipping working examples that other engineers can learn from, running
technical deep-dives that elevate team capability, and establishing engineering culture through visible excellence.
* Stay connected to the bleeding edge of AI engineering - actively participating in technical communities, experimenting with
research releases, and maintaining relationships with AI platform providers that give PA Media Group early access to emerging
capabilities.
* Contributing to wider PA Media Group technology approaches and capabilities to drive forward mutual progress and success.
Essential Skills
* Senior-level engineering expertise in TypeScript/Node.js with proven ability to architect and ship production systems in AWS
cloud environments - you write exceptional code, understand system design deeply, and have the battle scars from scaling
solutions that matter.
* AI-native engineering fluency that goes far beyond API consumption - you're already using Claude Code or similar tools to
accelerate your own development, you build agentic systems that chain multiple capabilities, and you understand prompt
engineering, context management, and model behaviour at a sophisticated level.
* Solid understanding of ML/AI fundamentals that informs excellent engineering decisions - you grasp concepts like embedding
spaces, attention mechanisms, RAG architectures, and fine-tuning well enough to choose appropriate approaches without needing
to implement models from scratch.
* High energy and relentless curiosity that drives continuous experimentation - you're naturally drawn to emerging capabilities,
you experiment with new models the day they're released, and you're constantly asking 'how might we?' when encountering novel
business problems and technology.
* Comfort operating at extreme velocity in ambiguous environments - you thrive when requirements evolve hourly, make confident
decisions with incomplete information, and know intuitively when to optimise for learning versus building for scale.
* Strong stakeholder collaboration skills that enable effective forward deployment - you gather requirements from non-technical
users naturally, explain technical trade-offs without condescension, and build trust through delivering working solutions that
exceed expectations.
* Senior-level judgement about when to push boundaries versus when to leverage proven patterns - you experiment aggressively but
ship responsibly, understanding the difference between impressive demos and production-ready systems.
Desirable Skills
* Experience working in media, content, or data-intensive domains where you've encountered challenges of scale, quality
assurance, and maintaining trust at speed.
* Deep understanding of modern cloud infrastructure (AWS, Azure, GCP) and deployment patterns including containerisation,
serverless architectures, and infrastructure as code.
* Background in ML engineering or data science that provides intuition for model behaviour, training dynamics, and evaluation
methodologies beyond surface-level API usage.
* Experience with observability and monitoring tooling that enables rapid debugging of complex agentic systems where behaviour
emerges from multiple AI components interacting.
* Familiarity with data pipeline architectures and integration patterns that enable sophisticated AI applications built on top of
existing data infrastructure.
* Active participation in AI engineering communities - contributing to open-source projects, sharing learnings publicly, or
maintaining technical blog/social presence that demonstrates thought leadership.
Working Arrangement:
This role requires 10 days per month in our London or Yorkshire offices to maintain close collaboration with business teams you're
embedded with, conduct rapid user testing sessions, and build the relationships essential for understanding real business problems
worth solving.
The nature of forward deployment means being physically present with the teams you're enabling - this role thrives on face-to-face
collaboration, rapid user testing, and the spontaneous problem-solving that happens when engineers and business teams work
side-by-side.
Join PA Media Group's new AI Enablement team as a founding senior engineer who lives at the bleeding edge of AI-native
development. This isn't traditional software engineering - you'll leverage agentic engineering approaches, Claude Code, and the
latest AI capabilities to ship solutions at unprecedented velocity, moving from concept to working prototype in days whilst
pushing the boundaries of what's technically possible.
Working in the latest technologies and partnering tightly with the Product Owner - AI, you'll be embedded directly with business
teams across PA Media, Alamy, Podium, StreamAMG, and Press Release & Marketing Services. You'll experiment relentlessly, iterate
rapidly, and enable business success through technology that others haven't figured out how to build yet. This is senior-level
engineering for those who thrive on high energy, constant innovation, and the freedom to explore emerging capabilities before they
become mainstream.
The Opportunity
This is a founding senior engineer role in PA Media Group's new AI Enablement team. You won't just build AI systems - you'll
define what AI-native engineering means for the organisation. We're deliberately keeping the team tiny, giving you extraordinary
autonomy to experiment, fail fast, and establish patterns that scale. This is the opposite of corporate engineering: no lengthy
approval processes, no legacy constraints slowing you down, just smart engineers moving at startup velocity within a 150+ year
institution.
You'll work differently from traditional engineering roles - you're forward deployed. You’re embedded with the teams who'll use
what you build, getting feedback in real-time, iterating based on actual usage patterns, and seeing your code make immediate
tangible impact. You'll move between news production, visual content licensing, sports analytics, streaming platforms, and press
distribution - solving wildly different technical challenges whilst building your understanding of what AI can achieve across
diverse contexts.
The technical environment rewards innovation and experimentation. You'll have permission to try emerging capabilities, leverage
cutting-edge AI platforms before they're mainstream, and push boundaries that more conservative organisations can't justify. We
expect some experiments to fail - that's the cost of experimentation. What matters is velocity of learning, speed of iteration,
and the ability to scale successes aggressively when you discover approaches that work.
The problems you'll tackle matter beyond technical curiosity: enabling journalists to work faster without sacrificing accuracy,
helping visual content discovery at unprecedented scale, powering sports analytics with AI-enhanced insights, maintaining trust
that defines our heritage whilst embracing transformative technology. This is AI-native engineering at its finest - where your
code doesn't just ship features but defines how a heritage institution leads digital transformation rather than follows it. If
you're energised by working at the absolute cutting edge, this is your opportunity.
Our Values
As a key member of the PA Media Group team, your daily work, interactions, and decision-making should reflect and uphold our core
company values:
* Integrity: Acting with trustworthiness, fairness, and accountability in everything we do.
* Ambition: Setting bold goals, striving for excellence, and inspiring progress.
* Innovation: Being curious, solving problems, and embracing a creative future. We constantly ask 'how might we?' to reimagine
what's possible.
* Collaboration: Building meaningful connections, valuing diverse perspectives, and achieving more together.
These values are at the heart of our culture and guide us in delivering exceptional products, services, and experiences for our
customers and partners.
Key Responsibilities
Core Responsibilities
* Ship AI-powered solutions at velocity using AI-native development approaches - leveraging Claude Code and agentic engineering
techniques to build in hours what traditionally takes days, constantly exploring how AI can accelerate your own engineering
workflow whilst solving business problems.
* Build rapid proof-of-concepts embedded directly with business teams - moving from requirements to working demonstration with
astonishing speed, using technologies such as TypeScript/Node.js/AWS to create solutions users can touch and test immediately
in their actual working environment.
* Push technical boundaries through continuous experimentation with emerging AI capabilities - you're always testing new models,
techniques, and agentic approaches, determining what's hype versus what unlocks genuine business value before the competition
recognises the opportunity.
* Partner closely with the Product Owner - AI to translate validated opportunities into technical reality, turning business
requirements into elegant architecture whilst ensuring rapid prototypes can evolve into production systems that scale.
* Engineer sophisticated solutions using modern AI platforms and APIs - building agentic systems, implementing RAG architectures,
and creating multi-step workflows that leverage OpenAI, Anthropic, and emerging providers to deliver capabilities impossible
six months ago.
* Enable business success by making AI accessible - creating APIs, integration patterns, and developer experiences that allow
other teams to leverage your AI capabilities without needing your deep expertise, multiplying impact across the organisation.
Strategic Contributions
* Establish AI-native engineering practices that accelerate the entire organisation - demonstrating how tools like Claude Code
transform development velocity, creating reusable agentic patterns, and building technical capability that didn't exist before.
* Design and implement lightweight technical standards for responsible and ethical AI deployment - defining pragmatic guardrails
that protect quality without killing velocity, establishing evaluation frameworks that enable rapid iteration with appropriate
risk management.
* Build a library of proven technical patterns and reusable components - creating the building blocks that turn weeks of custom
development into days of configuration, accelerating every subsequent AI implementation across the portfolio.
* Lead through demonstration rather than documentation - shipping working examples that other engineers can learn from, running
technical deep-dives that elevate team capability, and establishing engineering culture through visible excellence.
* Stay connected to the bleeding edge of AI engineering - actively participating in technical communities, experimenting with
research releases, and maintaining relationships with AI platform providers that give PA Media Group early access to emerging
capabilities.
* Contributing to wider PA Media Group technology approaches and capabilities to drive forward mutual progress and success.
Essential Skills
* Senior-level engineering expertise in TypeScript/Node.js with proven ability to architect and ship production systems in AWS
cloud environments - you write exceptional code, understand system design deeply, and have the battle scars from scaling
solutions that matter.
* AI-native engineering fluency that goes far beyond API consumption - you're already using Claude Code or similar tools to
accelerate your own development, you build agentic systems that chain multiple capabilities, and you understand prompt
engineering, context management, and model behaviour at a sophisticated level.
* Solid understanding of ML/AI fundamentals that informs excellent engineering decisions - you grasp concepts like embedding
spaces, attention mechanisms, RAG architectures, and fine-tuning well enough to choose appropriate approaches without needing
to implement models from scratch.
* High energy and relentless curiosity that drives continuous experimentation - you're naturally drawn to emerging capabilities,
you experiment with new models the day they're released, and you're constantly asking 'how might we?' when encountering novel
business problems and technology.
* Comfort operating at extreme velocity in ambiguous environments - you thrive when requirements evolve hourly, make confident
decisions with incomplete information, and know intuitively when to optimise for learning versus building for scale.
* Strong stakeholder collaboration skills that enable effective forward deployment - you gather requirements from non-technical
users naturally, explain technical trade-offs without condescension, and build trust through delivering working solutions that
exceed expectations.
* Senior-level judgement about when to push boundaries versus when to leverage proven patterns - you experiment aggressively but
ship responsibly, understanding the difference between impressive demos and production-ready systems.
Desirable Skills
* Experience working in media, content, or data-intensive domains where you've encountered challenges of scale, quality
assurance, and maintaining trust at speed.
* Deep understanding of modern cloud infrastructure (AWS, Azure, GCP) and deployment patterns including containerisation,
serverless architectures, and infrastructure as code.
* Background in ML engineering or data science that provides intuition for model behaviour, training dynamics, and evaluation
methodologies beyond surface-level API usage.
* Experience with observability and monitoring tooling that enables rapid debugging of complex agentic systems where behaviour
emerges from multiple AI components interacting.
* Familiarity with data pipeline architectures and integration patterns that enable sophisticated AI applications built on top of
existing data infrastructure.
* Active participation in AI engineering communities - contributing to open-source projects, sharing learnings publicly, or
maintaining technical blog/social presence that demonstrates thought leadership.
Working Arrangement:
This role requires 10 days per month in our London or Yorkshire offices to maintain close collaboration with business teams you're
embedded with, conduct rapid user testing sessions, and build the relationships essential for understanding real business problems
worth solving.
The nature of forward deployment means being physically present with the teams you're enabling - this role thrives on face-to-face
collaboration, rapid user testing, and the spontaneous problem-solving that happens when engineers and business teams work
side-by-side.