ServiceNow is looking to build the strong technical AI trust foundation which includes driving architectural decisions, ensuring critical workflow product security, establishing AI quality assurance methodologies and the trusted compliance workflow to accelerate time-to-market for new AI solutions.
Requirements
- Proficient in prompt engineering and developing LLM based features
- Experience with methods of training and fine-tuning large language models, such as distillation, supervised fine-tunning and policy optimization
- Demonstrate technical leadership: experience in developing architecture and owned complex systems
- Expertise in Python, GO, OOP, Design Patterns, time and space-efficient algorithms
- Knowledge of core AI/ML techniques and algorithms
- Knowledge of unit testing, profiling, and code tuning
- Experience with Kubernetes and container technologies.
Responsibilities
- Build the best cloud-based AI/ML solutions to power intelligent enterprise services
- Help devise adversarial machine learning defense strategies.
- Develop Secure model deployment.
- Ensure compliance with emerging AI safety regulations (e.g., EU AI Act, NIST AI Risk Management Framework).
- Capable of delivering MVP and production systems more quickly due to working experience with the ServiceNow Platform.
- Can make trade-off decisions that reduce rework and technical debt.
- Work with product owners to understand detailed requirements and own your code from design, implementation, testing and delivery of high-quality solutions to our users
Other
- Collaborate daily with a team of like-minded developers, product managers and quality engineers to produce quality software
- Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving. This may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI's potential impact on the function or industry.
- Experience in using AI productivity tools such as Cursor, Windsurf, etc
- Experience building prototypes, proof of concepts to prove ideas and working with engineering teams to productionize them
- Expertise in coding efficiently, object-oriented, modularized and quality software
