AI Solutions Engineer

We are looking for a talented and versatile AI Solutions Engineer to join our Analytics Strategy and Innovation team. This role uniquely blends solution architecture software engineering and data science to design develop and deploy cutting-edge generative AI solutions that drive business transformation.

As a AI Solutions Engineer you will be responsible for the technical delivery of innovative AI-driven products and proofs of concept collaborating closely with cross-functional teams to solve complex problems and create scalable impactful solutions. Your expertise will help us harness the power of generative AI to unlock new insights automate processes and enhance decision-making across the organization.

Position Responsibilities:

• Design & Develop Generative AI Solutions
• Architect build and optimize generative AI models and pipelines tailored to business needs.
• Develop scalable production-ready AI applications integrating natural language processing computer vision or other generative AI techniques.
• Experiment with state-of-the-art generative AI frameworks and tools to push innovation boundaries.
• Solution Architecture & Integration
• Design robust scalable architectures for AI-driven applications ensuring seamless integration with existing systems and data infrastructure.
• Evaluate and select appropriate cloud services APIs and tools to support AI workflows.
• Ensure compliance with data governance privacy and security standards.

Technical Ownership & Collaboration :

• Partner with data scientists product managers engineers and business stakeholders to translate requirements into technical solutions.
• Provide technical guidance on AI model selection training tuning and deployment strategies.
• Collaborate in agile teams to deliver high-quality AI solutions iteratively.
• Performance Monitoring & Optimization
• Monitor model performance and application metrics to ensure reliability and accuracy.
• Continuously optimize AI models and system components for efficiency and scalability.
• Troubleshoot and resolve technical issues in production environments.

Innovation & Knowledge Sharing:

• Stay current with advances in generative AI machine learning and related technologies.
• Share knowledge and best practices across the team and broader organization.
• Contribute to building a culture of innovation and continuous learning.

Education and Experience:

• Bachelors or Masters degree in Computer Science Engineering or a related field.
• 5 years of experience in software engineering or AI/ML engineering roles.
• Proven experience developing and deploying generative AI or advanced machine learning solutions.
• Strong communication skills and ability to explain complex technical concepts to diverse audiences.
• Passion for innovation and applying AI to solve real-world business challenges.
• Strong collaboration skills with Product Owners and cross-functional teams.
• Passion for driving technical excellence operational efficiency and delivering impactful products.
• Proven success working in and promoting a rapidly changing collaborative and iterative product development environment.
• Technical Skills Requirements
• Hands-on experience with generative AI models (e.g. OpenAI models like GPT Whisper RealTime and Claude Gemini) natural language processing and prompt engineering.
• Hands-on experience deploying and scaling AI solutions into web apps or enterprise applications (e.g. Django framework).
• Strong programming skills in Python and experience with AI/ML frameworks such as TensorFlow PyTorch or similar.
• Strong familiarity with cloud platforms and services (preferably Azure AWS or GCP) and AI-related tools (e.g. Azure Databricks Azure Cognitive Services).
• Experience with large-scale/distributed computing environments (e.g. Apache Spark).
• Proficiency in DevOps practices for AI/ML model deployment monitoring and lifecycle management.
• Expertise in data manipulation and processing using tools like Pandas PySpark or equivalent.
• Strong understanding of software engineering best practices including version control (Git) testing and CI/CD pipelines.
• Solid foundation in statistics experimental design and model evaluation metrics.
• Excellent problem-solving skills and ability to work in fast-paced cross-functional teams.

Physical Position Requirements:

• Parsippany Preferred location
• Hybrid Office work (or home office if remote)
• Ability to travel occasionally for field visits training or meetings (less than 10% of time)

The U.S. base salary range for this full-time position is $105000 - $151000. Our salary ranges are determined by role level and location. The range displayed on each job posting reflects the base pay target range for new hire salaries for the position. Within the range individual pay is determined by work location and additional factors including job-related skills experience and relevant education or training.

This position is also eligible for short-term incentive compensation.

This position is also eligible for long-term incentives.

In addition to compensation Zoetis offers a comprehensive benefits package that supports the physical emotional and financial wellbeing of our colleagues and their families including healthcare and insurance benefits beginning on day one a 401K plan with a match and profit-sharing contribution from Zoetis and 4 weeks of vacation.

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Full time

Regular

Colleague

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Required Experience:

IC