Elevate your career with graph

At graph AI Services, we’re not just offering jobs—we’re shaping careers. Join a dynamic team that values growth, embraces bold ideas, and celebrates innovation. Here, your contributions aren’t just welcome—they’re essential to our success.

Why join us?

Innovate & Grow

Join an environment where risk-taking, rapid learning, and constant innovation are embraced. Our ‘fail fast, learn fast’ culture empowers you to push boundaries and grow both personally and professionally.

Skills Over Credentials

We prioritize your unique talents, skills, and passion over traditional qualifications. At Graph, diverse perspectives are valued and seen as essential to our success.

Inclusive and Supportive

We foster cognitive diversity by creating a workplace that celebrates differences and leverages the unique strengths of every individual to build stronger teams.

Collaborate with the Best

Work alongside top-tier enterprises across industries, driving innovative AI solutions that have a meaningful impact on the world.

Competitive Rewards

At graph, we offer industry-leading compensation, performance-based bonuses, and comprehensive benefits that reflect the value you bring to our mission.

Continuous Growth

We’re committed to your development, providing ongoing learning opportunities to keep you at the cutting edge of AI and technology.

Find your fit at graph AI services

Data Architect (AI/ML)

Our data architects in AI/ML design and manage the high-level framework for data flow, storage, and integration across systems. They ensure the architecture supports machine learning models with optimal data pipelines, governance, and scalability. Their work involves selecting appropriate tools and technologies to enable efficient data management. They play a key role in aligning data strategies with AI/ML objectives.

Data Engineer (AI/ML)

Our data engineers in AI/ML focus on building, maintaining, and optimizing the data infrastructure required for machine learning models. They develop pipelines to collect, transform, and deliver data to AI systems while ensuring data quality and reliability. Their work supports the data lifecycle, from ingestion to deployment, ensuring that data is available, clean, and ready for AI-driven analytics.

Integration Architect & Engineer

Our Integration Architects & Engineers specialise in integrating complex SaaS platforms, including Now, force.com, and Oracle Fusion, ensuring seamless communication between different systems. They play a critical part in delivering connected, scalable solutions that enhance efficiency and allow businesses to unlock the full potential of their technology stack.

AI/ML Architect

Our AI/ML architects design the end-to-end architecture for deploying machine learning solutions within an organization. They are responsible for selecting appropriate ML frameworks, tools, and infrastructure to support the development, training, and deployment of models. Their role involves aligning ML strategies with business objectives, ensuring scalability, security, and integration with other systems. They oversee the full lifecycle of ML systems, from data

pipelines to model serving

AI/ML Engineer

Our AI/ML engineers build, test, and maintain machine learning models and the underlying systems that power them. They work on data preprocessing, model training, optimization, and deployment in production environments. Their role involves automating ML workflows, improving model performance, and ensuring scalability and reliability of models in real-time applications. ML engineers collaborate closely with data scientists to operationalize models and ensure they run efficiently on production systems.

Cloud Engineer

Our Cloud Engineers, design, deploy, and manage cloud infrastructure that is secure, scalable, and optimized for enterprise needs. With expertise in cloud platforms, this role supports our clients’ cloud journey, enabling high-performance solutions that drive digital transformation.

Customer Success Manager

Our Customer Success Manager acts as a program manager in service delivery, ensuring that our AI solutions deliver the expected results and value to our clients. This role is central to client satisfaction, fostering long-term relationships, and aligning services with customer goals to ensure successful adoption and integration of AI-driven initiatives.

Responsible AI Architect

Our Responsible AI Architect ensures that all AI solutions are designed and deployed ethically, transparently, and responsibly. This role focuses on developing systems that adhere to regulatory standards, align with ethical AI practices, and maintain fairness, accountability, and transparency in AI-driven decision-making.

ALL JOBS