[Remote] Agentic AI Forward Deployed Engineer / Architect

Note: The job is a remote job and is open to candidates in USA. Dice is seeking an experienced Agentic AI Forward Deployed Engineer / Architect to design and develop AI/ML applications. The role requires strong programming skills, architecture experience, and the ability to implement end-to-end AI/ML solutions in a hands-on capacity.ResponsibilitiesMinimum 6+ years (not more than 15+ years overall) of experience in designing and development of AI/ML applicationsStrong handson programming experience (Python required) with the ability to design and implement productionready solutions (experience in JS/NodeJS or .NET/C# is a plus)Architecture and systemdesign experience, with a proven track record of translating designs into working code (must still code 50 70% of the time)Practical experience implementing AI/ML solutions endtoend, including data preparation, model usage, and integration into applications (using frameworks like ScikitLearn, TensorFlow, or PyTorch)Experience designing and building scalable ML/AI systems using APIs, microservices, and eventdriven patterns with direct handson implementation responsibilityStrong data handling skills, including Pandas/NumPy and working with structured and unstructured data in real systemsCloudnative experience (Azure/AWS) with handson deployment, debugging, and performance tuning of AI workloadsSolid software engineering and DevOps practices, including Git, CI/CD pipelines, logging, monitoring, and production readinessIndividual contributor role no people management; must personally design, code, debug, and support solutionsSkillsMinimum 6+ years (not more than 15+ years overall) of experience in designing and development of AI/ML applicationsStrong handson programming experience (Python required) with the ability to design and implement productionready solutions (experience in JS/NodeJS or .NET/C# is a plus)Architecture and systemdesign experience, with a proven track record of translating designs into working code (must still code 50 70% of the time)Practical experience implementing AI/ML solutions endtoend, including data preparation, model usage, and integration into applications (using frameworks like ScikitLearn, TensorFlow, or PyTorch)Experience designing and building scalable ML/AI systems using APIs, microservices, and eventdriven patterns with direct handson implementation responsibilityStrong data handling skills, including Pandas/NumPy and working with structured and unstructured data in real systemsCloudnative experience (Azure/AWS) with handson deployment, debugging, and performance tuning of AI workloadsSolid software engineering and DevOps practices, including Git, CI/CD pipelines, logging, monitoring, and production readinessIndividual contributor role no people management; must personally design, code, debug, and support solutionsCompany OverviewDice is a job-searching platform for technology professionals. It is a sub-organization of DHI Group. It was founded in 1990, and is headquartered in Santa Clara, California, USA, with a workforce of 201-500 employees. Its website is http://www.dice.com.Company H1B SponsorshipDice has a track record of offering H1B sponsorships, with 2 in 2022, 4 in 2021, 5 in 2020. Please note that this does not guarantee sponsorship for this specific role.