Senior AI Technical Lead

Woodside Energy India; Bengaluru; On-site; INR 3,000,000 - 5,500,000; Full time

Benefits offered by this job

Parental leave

Flexible work options

Generous leave policy

Performance-based incentives

Job summary

Woodside Global Solutions in Bengaluru seeks a Senior AI Technical Lead to drive engineering excellence in generative AI and agentic systems. You will design scalable cloud-native solutions, mentor engineers, and ensure secure, governed delivery aligned with Woodside's AI platform strategy.

You will partner with Data Science, AI Development, and security teams to implement RAG patterns, CI/CD pipelines, and robust observability, while guiding architecture reviews and stakeholder communication.

Qualifications

• Bachelor’s degree in CS, Engineering, or related field.
• 6+ years of AI/ML engineering experience with Generative AI.
• Proficiency in Python and orchestration frameworks (LangChain, Hugging Face, OpenAI).
• Cloud platforms (AWS/Azure), containers (Docker/Kubernetes), CI/CD pipelines.

Responsibilities

• Lead technical design decisions and resolve blockers across AI use cases.
• Drive cloud-native development with secure handling of secrets and configurations.
• Design and deploy conversational agents and multi-agent systems with RAG patterns.
• Ensure compliance, observability, and robust API testing across services.

Skills

Generative AI

Agentic systems

Python

Leadership

Stakeholder engagement

Education

Bachelor’s degree in Computer Science or Engineering

Tools

LangChain

Hugging Face

OpenAI

Docker

Kubernetes

Terraform

Job description

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.

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.
• 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

• 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, Azure), containerisation (Docker, Kubernetes), and CI/CD pipelines.
• Experience with infrastructure-as-code (Terraform, CloudFormation) and API management.
• Familiarity with observability tools and secure coding practices.
• Excellent leadership, stakeholder engagement, and communication skills.
• Proven ability to lead technical teams and deliver complex AI solutions in agile environments.

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.