Lead AI Engineer
Listed on 2026-01-12
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IT/Tech
AI Engineer
Working independently, the Lead AI Engineer owns development of software products and works on improving the overall quality of the product throughout the software development life cycle and mentors other Software Engineers. Reports directly to a Director or Senior Director.
Key Responsibilities AI Development & Implementation- Create and manage the AI development process and overall infrastructure for AI-powered products
- Build AI models that generate accurate predictions s includes
- Context optimization
- Comprehensive evaluation
- Transform machine learning models into APIs for seamless integration with other applications
- Develop and maintain infrastructures for data transformation and ingestion
- Locate, extract, and pull data from diverse sources to support AI model development
- Conduct comprehensive statistical analysis and interpret results to guide organizational decision-making
- Automate critical infrastructure components for the data science team
- Ensure data quality and integrity throughout the AI development pipeline
- Coordinate effectively with cross-functional team members, including data scientists, software engineers, and product managers
- Explain the functionality and business value of AI models to stakeholders across various technical backgrounds
- Collaborate with product teams to understand requirements and translate them into technical solutions
- Present findings and recommendations to both technical and non-technical audiences
- Develop and maintain scalable AI infrastructure and deployment pipelines with a focus on leveraging GenAI APIs
- Optimize model performance and ensure efficient resource utilization
- Token optimization
- Compute optimization
- Cost optimization
- Implement best practices for model versioning, testing, and monitoring
- Stay current with emerging AI technologies and industry best practices
- Strong analytical and problem-solving abilities
- Excellent communication skills with ability to explain complex technical concepts
- Collaborative mindset with experience working in cross-functional teams
- Detail-oriented with strong project management capabilities
- Continuous learning mindset to stay updated with rapidly evolving AI landscape
- Expertise in popular genAI frameworks and tools such as Strands, ADK, Deepeval, and AWS Agentcore.
- Bachelor’s degree in Computer Science, Information Systems or related discipline with at least 7 years of related experience, or equivalent training and/or work experience
- System design experience
- Experience in object-oriented development
- Experience with cloud technologies
- Experience in data storage technologies
- Experience in performance tuning and optimization
- Experience in Dev Ops and CI/CD technologies
- Experience test automation and unit testing
- Experience software security
To be considered for this position, please submit an application.
Applications are accepted on an ongoing basis.
The information provided above has been designed to indicate the general nature and level of work of the position. It is not a comprehensive inventory of all duties, responsibilities and qualifications required.
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Working ConditionsHybrid work environment, with defined in-person presence requirements.
Occasional travel and extended hours may be required.
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