AI Solutions Engineer

Zoetis • Parsippany, NJ

1d • Hybrid

About The Position

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.

Requirements

• Bachelor's or Master's 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.
• 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.

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.

Benefits

• healthcare and insurance benefits beginning on day one
• a 401K plan with a match and profit-sharing contribution from Zoetis
• 4 weeks of vacation

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level