Senior Product Manager, AI Platform
Komodo Health
Director and Lead – Applied AI Engineering
The Hartford
full-time
Posted on:
Location Type: Hybrid
Location: Columbus • Connecticut, Illinois, North Carolina, Ohio • 🇺🇸 United States
Visit company websiteSalary
💰 $145,440 - $218,160 per year
Job Level
Senior
Tech Stack
AWSAzureCloudDockerEC2FlaskGoogle Cloud PlatformKubernetesPythonScikit-LearnSpringSpring BootSpringBootTensorflow
About the role
- Hands-on role, actively working with teams and leveraging technical experience
- Supporting the development of core AI platform capabilities
- Building and managing a world-class high-performance platform engineering team, fostering innovation, collaboration, and technical excellence
- Applying very strong engineering expertise in AI, ML, and modern data technologies to enhance platform functionality
- Leading the design, development, and scaling of large platforms with a focus on reliability, scalability, and security
- Drive the development and implementation of Gen AI and AI solutions on the AI platform using platform capabilities
- Providing mentorship and career growth opportunities for technical teams as an inspirational people leader
- Demonstrating strong behavioral traits of enterprise-level leadership, effectively influencing and attuned to the needs of teams and stakeholders, acting as a go-getter, and driving execution
- Defining and executing the vision and roadmap for AI solutions on the platform that align with the organization's strategic goals and customer needs
- Ensure build reliable, reproducible software applications and standardization of the AIOps pipeline on the cloud
- Collaborate with functions including Actuarial, Product, Underwriting and Sales to support AI-driven solutions
Requirements
- 4 or more years of experience in leading AI, ML, or applied engineering teams
- Hands-on experience with cloud platforms such as Google Cloud, AWS, and Azure
- Strong understanding of GenAI, machine learning, and related technologies along with business acumen
- Ability to collaborate and partner with business leaders and IT/Data Science teams
- Strong problem-solving skills with the ability to guide and mentor engineering teams
- Strong leadership and influencing skills at the senior management level
- Experience leading and managing teams focused on AI-driven use case development
- Bachelor’s or Master’s degree in Computer Science or a related field
- Strong written and verbal communication skills
- Demonstrate a willingness to challenge the status quo and drive continuous improvements
- Candidate must be authorized to work in the US without company sponsorship (The company will not support the STEM OPT I-983 Training Plan endorsement)
- Development experience for WebService API with AWS, Google Cloud Platform, and Azure
- Proficiency in embeddings, ANN/KNN, vector stores, quantization, database optimization, and performance tuning
- Proficiency in customization techniques across various stages of the RAG pipeline, including model fine-tuning, retrieval re-ranking, Hybrid search and multimodal RAG plus
- Experience building applications using RAG and Summarization patterns, prompt management and Agentic Framework
- Experience in building Agentic system using frameworks like LangGraph and CrewAI is a plus
- Basic understanding of ML frameworks, i.e., TensorFlow, Anaconda, Scikit-Learn, SageMaker, Agentic AI, and Vertex AI
- Experience working with Docker, Kubernetes and EC2 environment
- Experience enabling services such as Amazon Q, MSFT Copilot and similar services to enterprise
- Familiarity with Python Flask or Spring Boot
Benefits
- Short-term or annual bonuses
- Long-term incentives
- On-the-spot recognition
- Hybrid work schedule (expectation of working in an office 3 days a week)
- Career growth opportunities
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
AIMLcloud platformsWebService API developmentembeddingsANN/KNNdatabase optimizationmodel fine-tuningTensorFlowDocker
Soft skills
leadershipproblem-solvingmentorshipcollaborationcommunicationinfluencinginnovationexecutionteam managementcontinuous improvement
Certifications
Bachelor’s degree in Computer ScienceMaster’s degree in Computer Science
