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AI Engineer

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Renner Brown

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Location:
United States , Iselin

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

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Job Description:

The Sr Manager is (an expert in AI/ML, GenAI, LLMs, AWS, Java Spring Boot, Python, Node.js, Angular, Microservices, TypeScript, JavaScript, Python, MongoDB, SQL Server, and React Native stack) responsible for the development, ongoing maintenance, and support of software systems, and for providing technical expertise and architectural solutions in the applications Ansell-wide. He/She will be responsible for applying software development best practices, principles, theories, and concepts for building software products and enterprise solutions. Ability to develop solutions from the ground up by leveraging suitable modern technologies, and/or current reusable artifacts. Develop and implement a systems architecture that will meet business needs. The Sr. Manager's responsibilities include requirements analysis, assessing the current software systems in place to identify areas in need of improvement, and overseeing development teams, including code reviews.

Job Responsibility:

  • Responsible for building innovative software products using various software architecture patterns with solid design principles
  • Hands-on coding experience and ability to guide younger team members with any issues & help with PR review to deliver the best technical solutions
  • Conceptualize, develop products specifically using Large Language Models, including data acquisition, pre-processing, model training/tuning, deployment, and monitoring
  • Perform truth analysis to assess the accuracy and effectiveness of Large Language Model outputs, comparing them to known, accurate data
  • Develop target state architectures and validate with the development team
  • Collaborate with Product Owner, product development team and infrastructure team to ensure support of software development, testing
  • Oversee and maintain cloud infrastructure (e.g., AWS, Azure) specifically for Large Language Model workloads, ensuring cost-efficiency and scalability
  • Advises software software-related technology standard requirements, methodology, and processes
  • Establish robust monitoring and alerting systems to track Large Language Model performance, data drift, and other key metrics, proactively identifying and resolving issues
  • Participates in proof of concepts to assist in technology direction and enabling business strategy
  • Conducts and assists in end-to-end technical plan design for software projects
  • Works with enterprise standards to ensure compatibility and integration of multi-vendor platforms
  • Responsible for impact analysis and design modifications to existing systems to support new solutions
  • Develops specifications for interfaces from existing to new systems
  • Maintain a common documentation library of standardized procedures and configurations
  • Provide third-level support for incidents and problems in designated areas of expertise

Requirements:

  • Bachelor’s or Master’s degree in Computer Science, IT, or related field
  • Certified in at least one Cloud or AI-related Certification
  • 9+ years of experience in New Product Development
  • At least 3 years of experience as an AI engineer within public cloud platforms, AI-driven applications
  • Proven ability to define and deliver complex technical products involving machine learning, recommendation engines, or analytics
  • Demonstrated track record of delivering high-quality software products at scale
  • Strong data analytics skills
  • 9+ years’ experience working in AWS, Java Spring Boot, Node.js, Angular .NET Core, Microservices, TypeScript, JavaScript, Python, MongoDB, SQL Server, and React Native stack
  • At least three years of experience with architecting using public cloud services, PaaS/SaaS/IaaS on Azure/AWS
  • Experience with DevOps, CI/CD, and configuration management technologies such as Terraform, Chef/Ansible, Azure DevOps, Azure CLI, and PowerShell
  • Ability to write software system design documents or review design documents provided by others
  • Excellent communication and interpersonal skills
  • Demonstrated ability to thrive in a fast-paced, dynamic environment
  • Strong technical understanding of AI/ML, data architecture, and system integration principles
  • Experience with principles and best practices in software development, configuration management, and processes, including leading Agile methodology and planning
  • Thorough knowledge of various Services in AWS or Azure specific to AI, Gen AI, and LLMs
  • Strong knowledge of Generative AI architectures and methods, including chunking, vectorization, context-based retrieval and search, working with Large Language Models such as Claude, OpenAI GPT 4/5, Llama2, Llama3, Mistral, etc.
  • Expertise in cloud platforms (e.g., AWS, Azure) for ML workloads, MLOps, DevOps, or Data Engineering
  • Proven experience in MLOps, LLMOps, or related roles, with hands-on experience deploying and managing machine learning and large language model pipelines
  • Deep knowledge of Docker frameworks and orchestration concepts (Kubernetes experience is a plus)
  • Deep knowledge of source code control and configuration management concepts, and experience with Git and Git workflows
  • Ability to operate in a fast-paced, evolving environment and appropriately prioritize tasks, and keep abreast of the latest technology
  • Knowledge and understanding of industry trends and new technologies and the ability to apply trends to architectural and technical implementation needs
  • Ability to translate algorithmic capabilities into actionable business insights and customer value
  • Exceptional communication, documentation, and stakeholder management skills
  • Experience with Agile product management tools (e.g., Jira, Confluence)

Nice to have:

  • Proactive Ownership – Takes initiative to identify opportunities for platform and algorithm improvement, driving results with accountability and autonomy
  • Knowledge of AI ethics and understanding how to apply Trustworthy AI to ensure safe, responsible, and ethical use of AI technology
  • Passion for learning and exploring new generative AI technologies and methods
  • Analytical & Technical Acumen – Understands data models and AI methods while maintaining focus on usability, scalability, and measurable impact
  • Strategic Communication – Articulates complex technical ideas clearly to both technical and commercial audiences
  • Innovative Problem Solving – Champions experimentation and creative solutions to expand Guardian’s digital capabilities
  • Collaborative Leadership – Works effectively across global, cross-functional teams, fostering trust and alignment
  • Agility in a Global Context – Adapts to shifting priorities and diverse cultural and business environments with resilience and flexibility

Additional Information:

Job Posted:
March 22, 2026

Employment Type:
Fulltime
Work Type:
Remote work
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