l3 ai platform developer.

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

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 L3 AI Developer - Platform is responsible for designing, building, and maintaining
reusable AI platform components that enable scalable, secure, and reliable delivery of AI
solutions across the enterprise. This role focuses on implementing frameworks, APIs, and
services that support Generative AI and machine learning capabilities, ensuring compliance
with platform standards and governance. Working closely with the AI Platform Lead and
global platform practices, the AI Developer contributes to accelerating AI adoption through
robust, maintainable, and high-performance platform capabilities. Duties & Responsibilities: 
Safety & Operational Excellence
 Follow secure coding practices and ensure compliance with enterprise cybersecurity
and Responsible AI principles.
 Contribute to reducing operational risk by implementing reliable and auditable
platform components.
Technical Delivery
 Develop and maintain reusable AI platform services, APIs, and frameworks that
enable rapid deployment of AI solutions.
 Implement scalable and modular components for model hosting, inference, and
orchestration.
 Integrate Generative AI capabilities (e.g., LLMs, prompt orchestration, vector
databases) into platform services.
 Ensure platform components meet performance, reliability, and observability
standards.
 Collaborate with platform architects and AI Platform Lead to align development with
enterprise architecture and platform strategy.
 Document technical designs, workflows, and deployment processes for knowledge
sharing and compliance.
Collaboration
 Work closely with AI Platform Lead, AI Tech Chapter Lead, and other developers to
ensure consistency in engineering practices.
 Engage with data engineering, cybersecurity, and cloud teams to ensure secure and
compliant integrations.
 Participate in peer reviews and contribute to continuous improvement of platform
development practices.
Key Accountabilities
 Delivery of high-quality, reusable platform components that accelerate AI solution
development.
 Compliance with platform standards, security, and governance requirements.
 Effective collaboration with platform and AI teams to enable adoption of platform
capabilities.


 Skills & Experience: 
 Bachelor's degree in Computer Science, Engineering, or related field. 5+ years of experience in AI/ML development, with strong exposure to platform
engineering or backend systems.
 Hands-on experience with Generative AI frameworks (OpenAI, Hugging Face,
LangChain) and orchestration tools.
 Proficiency in Python and familiarity with API development (REST, GraphQL).
 Experience with cloud platforms (AWS, Azure), containerisation (Docker, Kubernetes),
and CI/CD pipelines.
 Knowledge of platform components such as model hosting, inference APIs, and vector
databases.
 Strong problem-solving skills and ability to write clean, maintainable, and secure code.
 Familiarity with Responsible AI principles, Well-Architected Framework and enterprise
security standards.

If you think you can do this job but don't meet all the criteria, that's OK! Please apply. At
Woodside, we value people with diverse experiences and backgrounds, as they provide
unique perspectives that help us innovate. 
  
Recognition & Reward:   

What you can expect from us: 

 Commitment to your ongoing development, including on the job opportunities and
formal programs  
 Inclusive parental leave entitlements for both parents 
 Values led culture 
 Flexible work options 
 Generous annual leave, sick leave and casual leave 
 Cultural and religious leave with flexible public holiday opportunities 
 A competitive remuneration package featuring performance-based incentives with
uncapped Employer Provident Fund 

Woodside is committed to fostering an inclusive and diverse workforce culture, which is
supported by our Values. Inclusion centres on all employees creating a climate of trust and
belonging, where people feel comfortable to bring their whole self to work. We also offer
supportive pathways for all employees to grow and develop leadership skills.

experience

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