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: 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. 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 $105,000 - $151,000. 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. Visit zoetisbenefits.com to learn more. Full time Regular Colleague Any unsolicited resumes sent to Zoetis from a third party, such as an Agency recruiter, including unsolicited resumes sent to a Zoetis mailing address, fax machine or email address, directly to Zoetis employees, or to Zoetis resume database will be considered Zoetis property. Zoetis will NOT pay a fee for any placement resulting from the receipt of an unsolicited resume. Zoetis will consider any candidate for whom an Agency has submitted an unsolicited resume to have been referred by the Agency free of any charges or fees. This includes any Agency that is an approved/engaged vendor but does not have the appropriate approvals to be engaged on a search. Notice: Zoetis Recruiters will contact candidates via email from an address ending in @zoetis.com and may also initially connect with candidates through LinkedIn, including LinkedIn InMail. Zoetis does not use Gmail, Outlook, Yahoo, or other web-based/generic email domains to communicate about job opportunities, interviews, or offers of employment. If you receive a recruitment-related email message claiming to be from Zoetis that does not come from @zoetis.com, please treat it as suspicious. For your security, do not reply, click links, open attachments, share personal or financial information, or send money in response to unexpected or questionable recruitment communications. Zoetis is committed to equal opportunity in the terms and conditions of employment for all employees and job applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, disability or veteran status or any other protected classification. Disabled individuals are given an equal opportunity to use our online application system. We offer reasonable accommodations as an alternative if requested by an individual with a disability. Please contact Zoetis Colleague Services at zoetiscolleagueservices@zoetis.com to request an accommodation. Zoetis also complies with all applicable national, state and local laws governing nondiscrimination in employment as well as employment eligibility verification requirements of the Immigration and Nationality Act. All applicants must possess or obtain authorization to work in the US for Zoetis. Zoetis retains sole and exclusive discretion to pursue sponsorship for the acquisition or maintenance of nonimmigrant status and employment eligibility, considering factors such as availability of qualified US workers. Individuals requiring sponsorship must disclose this fact. Please note that Zoetis seeks information related to job applications from candidates for jobs in the U.S. solely via the following: (1) our company website at site, or (2) via email to/from addresses using only the Zoetis domain of “@zoetis.com”. In addition, Zoetis does not use Google Hangout for any recruitment related activities. Any solicitation or request for information related to job applications with Zoetis via any other means and/or utilizing email addresses with any other domain should be disregarded. In addition, Zoetis will never ask candidates to make any type of personal financial investment related to gaining employment with Zoetis.