Senior Engineer I at Phillips 66 combining engineering and physics models with ML. Enhancing safety, reliability, and profitability through digital product development.
About the role
- Lead AI integration at i4Pro, enhancing insurance technology through innovation. Collaborate with CTO and teams to drive strategic AI initiatives.
Responsibilities
- Serve as the primary owner for establishing, promoting, and implementing an Artificial Intelligence culture across the organization, acting as a technical and strategic reference.
- Drive the adoption of practices, frameworks, and solutions that position the company as a leader in applied AI, ensuring alignment between technology, product, and business while inspiring and enabling multidisciplinary teams.
- Design modern, scalable, and secure software architectures that incorporate AI to optimize processes, increase productivity, and ensure continuous innovation.
- Act as a technical reference by defining standards and guiding teams on the strategic use of AI throughout the development lifecycle.
- Create robust architectures for distributed systems, microservices, and cloud-native applications.
- Plan and implement solutions that leverage AI to accelerate development, testing, monitoring, and automation.
- Establish guidelines, best practices, and standards for the safe and efficient use of AI in development.
- Collaborate with Engineering, DevOps, Data Science, and Product teams to ensure technical alignment and foster innovation.
- Design CI/CD pipelines with AI support and predictive monitoring.
- Evaluate new technologies, frameworks, and trends to keep the architecture competitive and up to date.
Requirements
- Distributed systems, microservices, APIs, and integration.
- Code-generation tools, predictive analytics, NLP, and developer assistants (Copilot, ChatGPT).
- Cloud: Azure and AWS.
- Docker, Kubernetes, Jenkins, GitHub Actions.
- C#, JavaScript/TypeScript, React.
- SQL and NoSQL databases.
- Strategic vision and strong decision-making skills.
- Technical leadership and ability to mentor teams.
- Clear communication and cross-functional collaboration.
- Innovative mindset with a focus on continuous improvement.
- Bachelor’s degree in data science, technology management, or a related field.
- Postgraduate degree or MBA in AI, Innovation, Data Science, Machine Learning, or related areas.
- Fluent English.
Benefits
- Meal voucher (Vale Refeição)
- Grocery allowance (Vale Alimentação)
- SulAmérica medical plan
- SulAmérica dental plan
- Wellhub and Totalpass
- Transportation voucher (Vale Transporte)
- Childcare assistance
- Profit sharing (PLR)
- Life insurance
- Private pension plan
- Day off on your birthday
- Extended paternity leave
- Partnership with Creditas
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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