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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Manager - AI Solutions Engineer, ER&I, AI for Sustainability & Infrastructure, AI & Data - **Company:** Deloitte - **Location:** London, UK - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Data Analysis, Microsoft Azure, Continuous Integration, Data Infrastructure, Data Transformation, Monitoring of Systems, Python (Programming Language), Machine Learning, Open Source Technology, Performance Tuning, Tensorflow, SQL Databases, Digital Twin, Data Processing, Google Cloud, Feature Engineering, Pytorch, Large Language Models, Prompt Engineering, Apache Spark, Generative AI, Storage Technologies, Information Technology, Machine Learning Operations, Virtual Agents - **Published:** August 11, 2026 - **Apply:** https://find.jobs/jobs-near-me/apply/ats-redirect/?id=2918789286-2 ## About the Role candidates able to demonstrate skills and experience in some of the following:EDUCATION & EXPERIENCEMasters, PhD or equivalent experience in Computer Science, Machine Learning, Artificial Intelligence, or a related discipline preferred.Outstanding candidates with strong quantitative, computer science, or engineering backgrounds in a related field will also be considered.Extensive experience designing, developing, and deploying enterprise-grade AI/ML solutions, including experience 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.Relevant industry certifications (AWS/Google/Azure/IBM ML or equivalent Certifications) and deep understanding of technical courses (e.g., Andrew Ng's Coursera Courses, Andrei Karpathy's Tutorials) highly desirable.TECHNICAL PROFICIENCYDemonstrated success leading the end-to-end development and deployment of complex, production-grade AI/ML and Generative AI solutions; evidence of real-world impact highly desirable; evidence of real-world impact in areas like energy efficiency gains, emissions reduction, grid stability, or resource optimisation highly desirable.Expert-level proficiency in Python, and modern AI/ML frameworks, including PyTorch, TensorFlow, and specialised Generative AI libraries (LangChain, LangGraph or related open-source toolkits strongly preferred. Background in Traditional ML/AI.Deep understanding of LLMs, prompt engineering, RAG pipelines, vector databases, and generative architectures; related security practices and evaluation procedures; hands-on experience fine-tuning, deploying and evaluating large-scale production systems.Hands-on 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 across one or more major cloud platforms (AWS, Azure, GCP) with Generative AI services.Grasp of MLOps/LLMOps principles, including CI/CD for ML, model monitoring, and governance frameworks.Proficiency with data processing and storage technologies (eg SQL, Spark)Strong stakeholder management and communication skills, with proven ability to translate complex AI concepts for diverse audiences.SUSTAINABLE BUSINESSPassion and curiosity to tackle some of industry and society's most significant challengesPassion to deliver sustainable and resilient growthKnowledge or experience in solving energy, infrastructure, supply chain or sustainability problems a plusConnect to your business - Technology and TransformationDistinctive ## Description Connect to your IndustryDeloitte's AI for Sustainability and Infrastructure team sits within our Engineering, AI & Data offering area and is purpose built to help our client's lead and win through the transition to a low-carbon, digitally enabled, prosperous, equitable and resilient economy.We take work across four core domains:Energy TransitionResilient InfrastructureSustainable and Resilient Supply Chains & ProductsDigital & AI enabled reporting, Compliance & Decision MakingWe work across all industry verticals. We bring deep technical and transformation expertise and point it at Sustainability related problems. Working within our business allows you to empower clients with cutting edge technology assets and alliances including AI and Data foundations, Geospatial Analytics and Digital Twin Modelling, Sustainability infused ERP, Supply Chain Traceability and AI enabled reporting and performance management.Connect to your career at Deloitte Deloitte drives progress. Using our vast range of expertise, we help our clients' become leaders wherever they choose to compete. To do this, we invest in outstanding people. We build teams of future thinkers, with diverse talents and backgrounds, and empower them all to reach for and achieve more. What brings us all together at Deloitte? It's how we approach the thousands of decisions we make every day. How we behave, our beliefs and our attitudes. In other words: our values. Whatever we do, wherever we are in the world, we lead the way, serve with integrity, take care of each other, foster inclusion, and collaborate for measurable impact. These five shared values lead every decision we make and action we take, guiding us to deliver impact how and where it matters most.Connect to your opportunity We are seeking a Senior AI Engineer who is passionate about tackling some of the most critical challenges facing the Energy, Resources & Industrials sectors, particularly those driven by the global energy transition. If you have a proven track record in developing and deploying AI-driven solutions, and you are ready to lead high-impact projects at the intersections of technology, data, energy, sustainability and infrastructure we encourage you to apply. We offer comprehensive onboarding, ongoing mentoring, and a tailored development pathway to support your continued growth.You will solve our clients' most challenging business problems by applying Generative AI, Agentic AI and other ML techniques to design, deliver and operate robust and cutting-edge solutions. You will also play a key role in architecting responsible, efficient and sustainable AI solutions leveraging, developing and employing frameworks to back up these design principles in your solutions.In this role, you may be expected to: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 (LLMs), diffusion models, and other generative techniques, ensuring scalability, efficiency, and robustness.Stay at the forefront of AI research, including in relation to model efficiency and sustainability, 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.Connect to your skills and professional experience We are looking for ## Related Videos - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Machine learning in the browser with TensorFlowjs](https://www.wearedevelopers.com/videos/155-machine-learning-in-the-browser-with-tensorflowjs) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. 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