We're making energy fair, clean, and simple for all using technology.
Key Responsibilities
- Embed temporarily within cross-functional business teams (e.g. Services, Ops, Finance) to co-build high-impact AI features directly inside their domain codebases and smooth out day-to-day bottlenecks
- Design and build internal developer tools, standard templates, and pipeline gates (security, technical standards, tone, and performance checks) in Python to simplify how teams across Octopus safely integrate AI into their software
- Establish clear guardrails, security standards, and production pathways to turn quick, hacky AI prototypes into secure, scalable, and well-architected systems
- Engage directly with both technical and non-technical stakeholders across business units to help map out fuzzy operational problems, understand pain points, and design practical AI-augmented workflows
- Collaborate closely with the Data team to ensure data flows securely and effectively into front-facing AI tools and applications
- Provide hands-on pairing, mentorship, and technical guidance to local teams during embedded rotations, ensuring they can independently maintain and expand the technology built together post-handoff
- Gather insights from on-the-ground embedded deployments to feed real-world requirements back into our central prototyping tools, patterns, and frameworks
Requirements
- A strong technical background in backend engineering (with deep fluency in Python/Django), a solid understanding of system design, and a genuine interest in Developer Experience (DX) and system reliability
- Hands-on familiarity and curiosity with modern AI toolchains, LLM integrations, retrieval patterns, and rapid prototyping frameworks, alongside the ability to audit AI-generated code
- Strong stakeholder management and communication skills, with a proven ability to collaborate effectively across both deeply technical tech teams and non-technical business partners
- A pragmatic builder mindset that prioritises shipping fast, practical value to solve immediate operational friction over over-engineering complex architectures
- Excellent collaborative and coaching skills, with demonstrated experience in pair programming, mentoring, or elevating team capability, combined with high accountability and a low-ego approach to handing off projects
- Comfort working in a fast-paced, high-autonomy environment where you can navigate context-switching between projects and help shape workflows from the ground up
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Senior Software Engineer - AI Solutions in London employer: NextGenEnergyJobs
As an Enterprise Architect Director at our company, you will thrive in a dynamic and innovative environment that champions professional growth and collaboration. We offer competitive benefits, a culture that values diversity and inclusion, and opportunities to lead transformative projects that shape the future of Enterprise AI. Join us in a location that fosters creativity and connection, where your leadership will directly impact our success and the satisfaction of our clients.
