Ampcus IncorporatedMalvern (PA)
Role: Kore. AI Architect / Senior Manager
Location: Malvern, PA
Job Description:
• Lead a team of developers in the design, development, and maintenance of conversational AI solutions using the Kore.AI platform.
• Collaborate with cross...
Applied Research Laboratory at the Penn State UniversityState College
We are looking for highly motivated, proactive, self-starting Engineering Project Managers (EPM) to join the Communications and Signal Processing (CSP) team of the Applied Research Laboratory (ARL) at Penn State University. Work closely with the Program Managers, Portfolio Managers, and Principle In...
Applied Research Laboratory at the Penn State UniversityState College
We are searching for an experienced Project Manager to join our Enterprise Program Management Team at the Applied Research Laboratory (ARL) at Penn State University. Identify and resolve obstacles to completing projects on time and on budget; identify, manage, and mitigate risks throughout the proje...
Capital OnePhiladelphia
product value propositions, metrics, and key indicators
• Recruit, motivate, mentor, and lead those around you to be their best
About You
• You have built and led teams of senior level product managers
• You have strong consulting and analytical skills...
Capital OnePhiladelphia
in internal & external technology communities, mentoring other members of the engineering community
• Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve...
Capital OneYork (PA)
Founded in 2012, is an experimental Product and Technology lab. It's a startup culture with the financial backing of a Fortune 100 company. With the majority of the teams in the DC-area and NYC, the Lab is a cross-functional team of Product Managers...
Capital OnePhiladelphia
technologies, participating in internal & external technology communities, mentoring other members of the engineering community
• Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help...
Capital OneScranton (PA)
technology communities, and mentoring other members of the engineering community
• Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment...
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Azure/ GenAI Architect
Resource Logistics, Inc. | Philadelphia | www.resume-library.com |
High level:
Clienture GenAI Clienthitect (understanding of vector stores and other AI components)
Experience managing offshore teams
Ability to manage backlog and prioritize effectively
Responsibilities:
Use Cases and Strategy: Develop and strategize use cases for GenAI applications in alignment with business objectives.
Executive Presence: Engage with senior stakeholders, presenting GenAI solutions and illustrating their impact.
Data Science Expertise: Harness your strong background in data science to drive insights and foster innovation.
AI/Client Understanding: Demonstrate a deep understanding of AI/Client principles, including GenAI-specific approaches.
Clienture Ecosystem: Leverage knowledge of the Clienture ecosystem to establish AI practices within organizations.
End-to-End AI Lifecycle: Oversee engagements from ideation through proof of concept (POC) to scaling AI solutions.
MLOPS: Implement best practices for machine learning operations (MLOPS).
Qualifications:
Experience: Minimum of 6-12 years of relevant experience.
Education: Bachelor s degree required.
Product Management: Excellent product management skills.
Agile/Scrum: Familiarity with Agile/Scrum methodologies.
Cloud Platforms: Knowledge of cloud big data platforms (Clienture).
AI/Client: Understanding of AI/Client, including GenAI/LLM solutions.
Clienture GenAI Clienthitect (understanding of vector stores and other AI components)
Experience managing offshore teams
Ability to manage backlog and prioritize effectively
Responsibilities:
Use Cases and Strategy: Develop and strategize use cases for GenAI applications in alignment with business objectives.
Executive Presence: Engage with senior stakeholders, presenting GenAI solutions and illustrating their impact.
Data Science Expertise: Harness your strong background in data science to drive insights and foster innovation.
AI/Client Understanding: Demonstrate a deep understanding of AI/Client principles, including GenAI-specific approaches.
Clienture Ecosystem: Leverage knowledge of the Clienture ecosystem to establish AI practices within organizations.
End-to-End AI Lifecycle: Oversee engagements from ideation through proof of concept (POC) to scaling AI solutions.
MLOPS: Implement best practices for machine learning operations (MLOPS).
Qualifications:
Experience: Minimum of 6-12 years of relevant experience.
Education: Bachelor s degree required.
Product Management: Excellent product management skills.
Agile/Scrum: Familiarity with Agile/Scrum methodologies.
Cloud Platforms: Knowledge of cloud big data platforms (Clienture).
AI/Client: Understanding of AI/Client, including GenAI/LLM solutions.
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