AI Intern leading projects for content workflow automation in a global measurement instruments company. Focused on AI opportunities, prototyping, and collaboration with a diverse team.
About the role
- Lead Architect at Cognite developing and designing AI products for industrial sectors. Shaping the architecture of Atlas AI to maintain competitive advantage and scalability.
Responsibilities
- Lead the technical design of our Atlas AI product
- Make technical decisions that give Cognite a competitive edge
- Ensure that the architecture in the Atlas AI Product Area is aligned with Cognite’s architecture principles, that it is scalable, can meet its SLOs and that cloud cost scales in a reasonable manner
- Ensuring LLM-powered services are built in a sustainable way that can be systematically iterated upon and improved
- As part of the Office of the CTO, contribute to the overall architecture and architecture principles at Cognite
- Evaluate and select technologies, frameworks, libraries and tools and drive the adoption of these in our teams
- Lead by example by working with the teams to ensure the right level of standardization (and to help out where specialization is needed)
- Work cross functionally to understand the needs of our customers, partners and delivery teams building AI agents on top of Atlas AI
- Work closely with delivery teams and other product areas to ensure our AI platform caters to their needs, for example making sure that AI agents can be used for data onboarding and contextualization
- Work closely with security and legal teams to make sure our AI products comply with security and legal requirements, for example the EU AI Act
- Mentor senior developers
Requirements
- 10+ years of development experience
- Experience architecting complex systems or platforms at scale
- Experience building products on top of generative AI or machine learning models, and an understanding how this may differ from traditional software development
- Fundamental understanding of generative AI and/or machine learning, and familiarity with the tools and methodologies around them, for instance for measuring accuracy
- Full stack experience is a plus
- Experience in implementing good practices for testing and development standards across large codebases
- Understanding of how to design high performance systems that consistently deliver on SLOs
- Experience working with k8s and managed services (PaaS) on one or more of the major public clouds: AWS, Azure or GCP
Benefits
- Competitive compensation
- 401(k) with employer matching
- Competitive health, dental, vision & disability coverages for employees and all dependents
- Unlimited PTO
- Paid Parental Leave Program
- Employee Stock Purchase Program (ESPP)
- Employee Referral Program
- Paid mobile phone and WiFI
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
No Education Requirement
Tech skills
Location requirements
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