Principal Generative AI Engineer

Role Overview

• Advising on Generative AI matters: Act as a subject matter expert and trusted advisor, to clients (external and internal) to understand their pain points and opportunities. This involves translating product objectives and customer needs into actionable engineering deliverables. A key aspect of this is the ability to translate complex technical concepts into clear, accessible language for various stakeholders, including non-technical audiences
• Technical direction: Assist establish the technical direction and development priorities for LLM-based and Generative AI technology, including rethinking strategies to meet future needs. This aligns with the responsibilities of the Head of AI factory and Director of AI Strategy and Partnership, who sets the overall AI strategy aligned with delivery and organizational execution goals
• Drive innovation and efficiency: Accelerate the adoption of AI capabilities to enhance the full cycle DevSecOps engineering experience. Proactively apply AI-assisted engineering tools to improve engineering efficiency and contribute directly to code delivery, lead code reviews, and champion documentation
• Collaborating with partners: Work closely with partners and with external institutions, to explore and implement groundbreaking AI research initiatives
• Building, and mentoring high-performance global teams: Lead the recruitment and development of diverse, high-performing engineering teams, providing mentorship to junior team members, fostering a culture of innovation, and upskilling engineers. You will effectively lead, grow, and scale technical teams
• Building solutions for both internal and external clients: Oversee the entire lifecycle of AI solution delivery, from technical design to production operations at scale. You will be comfortable delivering all aspects of AI solutions, including documentation, coding, testing, and engaging with end users. This includes designing and defining AI-powered engineering solutions and applying AI technologies to enhance end-to-end product development lifecycles

Requirements

• Proven track record in leading and delivering large-scale, complex engineering initiatives, ideally with a focus on generative AI
• Deep applied experience in one or more relevant domains/technologies
• Proficiency in programming languages like Python (including Pandas), and deep learning frameworks (TensorFlow, PyTorch, LangChain, LlamaIndex)
• Experience with data wrangling and ingestion from diverse sources like SAP, SharePoint, Snowflake, and unstructured documents
• Familiarity with AI-augmented development tools (e.g., Cursor, Windsurf, Github Copilot, Lovable, Bolt) and AI-augmented test, QA, security, and code quality tooling. This aligns with the need for continuous monitoring, iterative testing, and robust security measures throughout the AI lifecycle
• Experience with Microsoft Power Platforms, MS CoPilot Studio, and MS Power BI
• Knowledge of UI frameworks such as Streamlit, Gradio or Javascript-based frameworks (ReactJS, NextJS)
• Strong problem-solving and technical troubleshooting skills
• Highly motivated, taking ownership to consistently deliver on commitments
• Curiosity to understand customer business processes, pain points, and needs to demonstrate understanding and deliver solutions

Tech Stack

• JavaScript
• Next.js
• Pandas
• Python
• PyTorch
• React
• Tensorflow

Benefits

• Meaningful and interesting projects delivered to leaders of industry across renewables and emerging energy sectors
• Flexible working arrangements that balance client, team and individual needs offering hybrid and remote working where relevant
• Commitment to Diversity and Inclusion; we are an organisation actively committed to diversity and inclusion across our business with employee networks committed to giving all employees a voice
• Competitive salary with regular salary reviews to ensure we are rewarding at the right level in line with the market
• Flexible benefits package; including generous types of Leave (Family, Cultural and Purchased Leave)
• Commitment to continued professional development; development plans that are tailored to your individual needs and interests
• Global connections: join experts around the world who are at the leading edge of our industry, shaping the standards of our profession
• Wide range of Financial Health benefits with Salary Continuance Insurance, Salary Packaging via Smart Salary Portal, Discounts at over 400 retailers via RAW Benefits Portal and access to Discounted Hotels