Senior AI Solutions Architect - Energy & Sustainability

Senior AI Solutions Architect - Energy & Sustainability

Full-Time 80000 - 100000 £ / year (est.) No working from home possible
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At a Glance

  • Tasks: Design and deploy AI solutions for sustainability in energy and industrial sectors.
  • Company: Join Deloitte's innovative AI for Sustainability team.
  • Benefits: Hybrid working, competitive salary, and opportunities for professional growth.
  • Other info: Collaborative environment with a focus on sustainable growth and industry challenges.
  • Why this job: Make a real impact on energy transition and operational efficiency with cutting-edge AI.
  • Qualifications: Masters or PhD in relevant fields; strong AI/ML experience required.

The predicted salary is between 80000 - 100000 £ per year.

Deloitte's AI for Sustainability and Infrastructure team works across Energy Transition, Resilient Infrastructure, Sustainable and Resilient Supply Chains & Products, and Digital & AI enabled reporting, compliance & decision making. This role supports clients in the Energy, Resources & Industrials sectors by designing and deploying AI solutions that drive sustainability and operational efficiency.

Responsibilities

  • Engage directly with senior client stakeholders across energy companies, utilities, industrial giants, and government bodies to shape, define, and deliver transformative AI and Generative AI strategies aligned with their energy transition and operational efficiency goals.
  • Lead the design, development, and implementation of advanced AI pipelines, encompassing data acquisition, preprocessing, feature engineering, model development, evaluation, and secure deployment at scale.
  • Oversee the development and operationalisation of state‑of‑the‑art AI models, including large language models, diffusion models, and other generative techniques, ensuring scalability, efficiency, and robustness.
  • Stay at the forefront of AI research, actively evaluating emerging technologies and integrating relevant advancements into client solutions and internal frameworks.
  • Mentor and guide cross‑functional teams, promoting knowledge sharing, reusable assets, and best practices to drive delivery excellence and sustainable growth within the ERI landscape.

Education & Experience

  • Masters, PhD or equivalent experience in Computer Science, Machine Learning, Artificial Intelligence, or related discipline preferred.
  • Strong quantitative, computer science, or engineering background in a related field considered.
  • Extensive experience designing, developing, and deploying enterprise‑grade AI/ML solutions, including managing technical teams and stakeholder relationships within the Energy, Resources, or Industrials sectors.
  • Proven experience working directly within the Energy, Resources, or Industrials sectors, ideally on projects related to the energy transition, sustainability, or operational efficiency.
  • Domain expertise in applying AI and Generative AI within energy transition, renewables, utilities, mining, heavy industry, environmental science, or climate technology.

Technical Proficiency

  • Demonstrated success leading the end‑to‑end development and deployment of complex, production‑grade AI/ML and Generative AI solutions; evidence of real‑world impact desirable in areas such as energy efficiency gains, emissions reduction, grid stability, or resource optimisation.
  • Expert‑level proficiency in Python and modern AI/ML frameworks, including PyTorch, TensorFlow, and specialised Generative AI libraries (e.g., LangChain, LangGraph).
  • Deep understanding of LLMs, prompt engineering, RAG pipelines, vector databases, and generative architectures; hands‑on experience fine‑tuning, deploying, and evaluating large‑scale production systems.
  • Experience designing and implementing evaluation frameworks, security best practices, and ethical guardrails to ensure safe, responsible, and compliant deployment of AI and Generative AI systems.
  • Experience with one or more major cloud platforms (AWS, Azure, GCP) and Generative AI services.
  • Knowledge of MLOps/LLMOps principles, including CI/CD for ML, model monitoring, and governance frameworks.
  • Proficiency with data processing and storage technologies (e.g., SQL, Spark).
  • Strong stakeholder management and communication skills, with proven ability to translate complex AI concepts for diverse audiences.

Sustainable Business Focus

  • Passion and curiosity to tackle significant industry and societal challenges.
  • Passion to deliver sustainable and resilient growth.
  • Knowledge or experience solving energy, infrastructure, supply chain, or sustainability problems is a plus.

Location & Working Arrangement

Based in London with a hybrid working arrangement; flexibility to work from office, virtual collaboration spaces, client sites, and remotely.

Equal Opportunity Statement

Deloitte is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, national origin, gender, sexual orientation, age, disability, or any other protected status.

Senior AI Solutions Architect - Energy & Sustainability employer: Hm Revenue & Customs (Hmrc)

Deloitte is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration within the AI for Sustainability and Infrastructure team. With a strong commitment to employee growth, you will have access to mentorship opportunities and cutting-edge projects that drive meaningful impact in the Energy and Sustainability sectors. Located in London, the hybrid working arrangement provides flexibility, allowing you to balance professional and personal commitments while contributing to transformative AI solutions.

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Contact Details:

Hm Revenue & Customs (Hmrc) Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior AI Solutions Architect - Energy & Sustainability

Tip Number 1

Network like a pro! Get out there and connect with folks in the energy and sustainability sectors. Attend industry events, webinars, or even local meetups. The more people you know, the better your chances of landing that Senior AI Solutions Architect role.

Tip Number 2

Show off your skills! Create a portfolio showcasing your AI projects, especially those related to energy transition and sustainability. This will give potential employers a taste of what you can do and how you can contribute to their goals.

Tip Number 3

Prepare for interviews by brushing up on your knowledge of AI and its applications in the energy sector. Be ready to discuss your experience with AI pipelines and generative models. Confidence is key, so practice makes perfect!

Tip Number 4

Don’t forget to apply through our website! We’ve got loads of opportunities waiting for you, and applying directly can sometimes give you an edge. Plus, it shows you’re genuinely interested in joining our team at StudySmarter.

We think you need these skills to ace Senior AI Solutions Architect - Energy & Sustainability

AI Solutions Architecture
Generative AI
Data Acquisition
Feature Engineering
Model Development
Large Language Models (LLMs)
Python

Some tips for your application 🫡

Tailor Your CV:Make sure your CV is tailored to the role of Senior AI Solutions Architect. Highlight your experience in AI and sustainability, and don’t forget to mention any relevant projects you've worked on that align with energy transition and operational efficiency.

Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about AI in the energy sector and how your skills can help drive sustainability. Keep it engaging and personal – we want to see your personality!

Showcase Your Technical Skills:Be sure to highlight your technical proficiency in Python and AI/ML frameworks. Mention any hands-on experience you have with large language models or generative AI techniques, as this will really catch our eye!

Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. Plus, we love seeing applications come directly from our site!

How to prepare for a job interview at Hm Revenue & Customs (Hmrc)

Know Your AI Stuff

Make sure you brush up on the latest trends in AI, especially in the context of energy and sustainability. Be ready to discuss specific projects you've worked on that demonstrate your expertise in deploying AI solutions, particularly in the Energy, Resources, or Industrials sectors.

Engage with Stakeholders

Since this role involves engaging with senior client stakeholders, practice how you would communicate complex AI concepts in a way that's easy for them to understand. Think about examples where you've successfully managed stakeholder relationships and how you can apply that experience here.

Showcase Your Technical Skills

Be prepared to dive deep into your technical proficiency, especially with Python and AI/ML frameworks like PyTorch and TensorFlow. Have examples ready that showcase your hands-on experience with large language models and generative techniques, as well as any cloud platforms you've worked with.

Demonstrate Your Passion for Sustainability

This role is all about driving sustainable growth, so be sure to express your passion for tackling industry challenges related to sustainability. Share any relevant experiences or projects that highlight your commitment to making a positive impact in the energy sector.