Similar Jobs
Cloud • Computer Vision • Information Technology • Sales • Security • Cybersecurity
As a Principal Data Engineer, you will design and implement LLM, AI-powered security data platforms, mentor engineers, and drive the adoption of data solutions across teams.
Top Skills:
AirflowAWSBigQueryDaskDockerFlinkGCPKafkaKubeflowKubernetesLangchainLlamaindexMlflowMlops ToolsOciPulsarPythonSagemakerSnowflakeSparkVertex Ai
Cloud • Healthtech • Professional Services • Software • Pharmaceutical
The Senior Data Scientist will design and implement AI-enabled products using clinical trial data, mentor team members, and collaborate with stakeholders.
Top Skills:
MlopsPythonSQL
Healthtech • Other • Social Impact • Software • Telehealth
As a Principal AI Engineer, you'll design production-grade systems integrating generative AI in mental healthcare, overseeing architecture and applied research.
Top Skills:
AWSGCPGoJavaLangchainLlamaindexPythonTypescript
Accomplished Tech Visionary:
Embark on an exciting journey into the realm of software development with 3Pillar!
We extend an invitation for you to join our team and gear up for a thrilling adventure.
The Principal/Senior AI Engineer will serve as the technical lead for all implementation work within the AI Innovation Lab.
This role is responsible for building the technical foundation and executing the initial pilots that will define the lab's success.
Responsibilities
Lead all technical implementation work for the AI Innovation Lab.
Design, set up, and maintain the technical infrastructure, including implementing a controlled AWS sandbox for safe exploration and development.
Establish guardrails and best practices for the development and testing of AI prototypes.
Execute initial pilots to validate AI concepts and use cases.
Build reusable patterns and templates within the AWS environment to ensure the lab builds repeatable capabilities.
Contribute to generating evidence-based recommendations for future productization of successful pilots.
Design, set up, and maintain the technical infrastructure, including implementing a controlled AWS sandbox for safe exploration and development.
Establish guardrails and best practices for the development and testing of AI prototypes.
Execute initial pilots to validate AI concepts and use cases.
Build reusable patterns and templates within the AWS environment to ensure the lab builds repeatable capabilities.
Contribute to generating evidence-based recommendations for future productization of successful pilots.
Requirements
Extensive experience as a technical lead, responsible for implementation work in an AI/ML context.
Deep expertise in setting up cloud-based technical infrastructure, specifically within an AWS environment.
Strong background in defining and implementing technical guardrails for safe AI exploration.
Proficiency in building reusable code patterns and templates for rapid prototyping.
Deep expertise in setting up cloud-based technical infrastructure, specifically within an AWS environment.
Strong background in defining and implementing technical guardrails for safe AI exploration.
Proficiency in building reusable code patterns and templates for rapid prototyping.
What you need to know about the NYC Tech Scene
As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory



