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Senior AI Technical Lead

BangalorePosted 2 months ago
Software engineeringSeniorFull Time; Regular
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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 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 Technical Lead is a senior technical role within the AI Pod, responsible for driving engineering excellence, solution design, and technical delivery across complex AI use cases. Reporting to the Data Science and AI Developer Lead, this role combines deep expertise in Generative AI, agentic systems, and cloud-native engineering with strong leadership and collaboration skills. The AI Tech Lead ensures solutions are secure, scalable, and aligned with enterprise architecture and AI platform strategy, while fostering a culture of innovation, continuous improvement, and technical consistency within the Pod. Duties & Responsibilities Engineering & Architecture Lead technical design decisions and resolve blockers across portfolio use cases.Drive cloud-native development practices, including secure handling of secrets, environment variables, and service configurations.Manage API specifications and service integrations across platforms.Ensure robust CI/CD pipelines for AI systems and microservices.Implement team-based access control, code ownership, and repository governance.Apply infrastructure-as-code practices for scalable deployments.Support agile software development processes and ensure engineering consistency.AI & Agentic Systems Design and deploy conversational agents and multi-agent systems.Orchestrate agent workflows, manage context, and integrate external data sources.Implement retrieval-augmented generation (RAG) patterns and scalable inference strategies.Evaluate trade-offs between deployment models (e.g., serverless vs containerised) for optimal performance.Security & Compliance Ensure compliance with enterprise data privacy and cybersecurity standards.Manage responsible handling of user interactions and logs, with clear boundaries for data retention and observability.Tooling & Observability Implement observability tools for tracing, logging, and performance monitoring.Ensure robust API testing and authentication flows across service layers.Leadership & Collaboration Manage code reviews, shared modules, and enforce engineering best practices.Drive agile development practices including sprint planning, backlog grooming, and velocity tracking.Foster a growth mindset culture, encouraging experimentation, learning from failure, and continuous improvement.Support onboarding and mentoring of developers and AI engineers.Communication & Stakeholder Engagement Work closely with the AI Tech Chapter Lead to align technical decisions with AI platform strategy and business goals.Represent the Pod in technical forums, showcases, and architecture reviews.Communicate risks, trade-offs, and technical constraints clearly to non-technical stakeholders.Provide timely updates to the Engagement Lead on technical decisions and progress Skills & Experience Technical Skills / Experience: * Bachelor's degree in Computer Science, Engineering, or related field. * 6+ years of experience in AI/ML engineering, with strong expertise in Generative AI and agentic systems. * Proficiency in Python and modern programming languages; experience with orchestration frameworks (LangChain, Hugging Face, OpenAI). * Strong knowledge of cloud platforms (AWS A

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