Senior AI Developer
About Woodside Energy
We are a global energy company, providing reliable and affordable energy to help people lead better lives. Join our team at Woodside Global Solutions in Bengaluru where talent, digital expertise, and operational excellence converge to solve complex energy challenges, accelerate change, and reimagine business capabilities to support Woodside's global operations and our role in the energy transition.
Founded in 1954, Woodside established the liquefied natural gas (LNG) industry in Australia 40 years ago and supplies customers around the globe. 70 years on, Woodside continues to be driven by a spirit of innovation and determination. At Woodside, we know great results come from our people feeling valued, getting the support they need to reach their full potential and working in a psychologically and physically safe work environment. We believe in nurturing talent and providing opportunities for continuous learning and career advancement.
Refer to our corporate website for more information about our different locations and projects:
What We Do- https://www.woodside.com/what-we-do
About Woodside Global Solutions
Woodside Global Solutions in Bengaluru is being built as a hub of excellence, to drive innovation, digital transformation, and global collaboration.
Working as one Global team, the Woodside Digital team is a trusted partner driving transformation within the organisation. We are bold in our ambitions and resolute in our actions. Through cutting-edge AI, robust cyber security, and advanced data solutions we drive innovation and influence every part of our business.
We are looking for talented professionals who are passionate about technology and eager to make a global impact, helping to shape the future of Woodside together.
About the role:The Senior AI Developer plays a critical role in designing, building, and deploying advanced AI solutions within delivery Pods. Reporting to the Data Science and AI Developer Lead, this role combines deep technical expertise in Generative AI and machine learning with strong software engineering practices to deliver scalable, secure, and high-performing AI products. The Senior AI Developer also mentors junior developers, drives technical quality, and ensures adherence to standards and practices of AI Platform Team
RESPONSIBILITIES AND ACCOUNTABILITIES
Technical Delivery
Design, develop, and optimise AI models and algorithms, with a strong focus on Generative AI applications.
Build and integrate APIs, pipelines, and orchestration frameworks for AI solutions.
Ensure solutions are scalable, secure, and aligned with enterprise architecture and Responsible AI principles.
Collaborate with Pod Leads, data engineers, and business stakeholders to translate requirements into technical solutions.
Conduct code reviews, enforce best practices, and maintain high-quality engineering standards.
Document technical designs, workflows, and deployment proce sses for knowledge sharing.
Delivery of high-quality AI solutions that meet business objectives and technical standards.
Effective mentoring and capability development within the Pod.
Compliance with AI practices, security, and governance requirements.
Leadership & Mentorship
Mentor junior AI Developers within the Pod, fostering technical growth and capability uplift.
Promote a culture of safe experimentation, iterative delivery, and continuous improvement.
Support the AI Pod Lead in maintaining engineering excellence and delivery velocity.
Collaboration
Work closely with Data Science and AI Developer Lead and Platform teams to ensure reuse of patterns and compliance with standards.
Engage with cross-functional teams to integrate AI solutions into enterprise systems.
Share insights and learnings through presentations, demos, and knowledge transfer sessions.
SKILLS & EXPERIENCE
Technical Skills / Experience:
Bachelor’s degree in Computer Science, Data Science, Engineering, or related field.
5+ years of experience in AI/ML development, with strong expertise in Generative AI frameworks (OpenAI, Hugging Face, LangChain).
Proficiency in Python and experience with model fine-tuning, prompt engineering, and orchestration.
Familiarity with cloud platforms (AWS, Azure), containerisation (Docker, Kubernetes), and CI/CD pipelines.
Strong understanding of machine learning techniques and data processing workflows.
Excellent problem-solving, analytical, and communication skills.
Experience mentoring developers and driving technical excellence in a team environment.
