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Artificial Intelligence Engineer

Job in Indianapolis, Hamilton County, Indiana, 46262, USA
Listing for: Elanco
Full Time position
Listed on 2026-01-01
Job specializations:
  • IT/Tech
    AI Engineer
Job Description & How to Apply Below
Location: Indianapolis

Overview

At Elanco (NYSE: ELAN) – it all starts with animals!

As a global leader in animal health, we are dedicated to innovation and delivering products and services to prevent and treat disease in farm animals and pets.
At Elanco, we are driven by our vision of Food and Companionship Enriching Life and our purpose – all to Go Beyond for Animals, Customers, Society and Our People.

At Elanco, we pride ourselves on fostering a diverse and inclusive work environment. We believe that diversity is the driving force behind innovation, creativity, and overall business success. Here, you’ll be part of a company that values and champions new ways of thinking, work with dynamic individuals, and acquire new skills and experiences that will propel your career to new heights.

Making animals’ lives better makes life better – join our team today!

Your Role

As an Artificial Intelligence (AI) Engineer at Elanco, you will join a dynamic engineering team dedicated to designing, developing, and deploying cutting-edge AI solutions that drive innovation, efficiency, and value across the business.

This role is perfect for a creative problem-solver passionate about leveraging AI, specifically Generative AI and Agentic AI, to make a tangible impact.

This includes four strategic priorities:

  • Pipeline Acceleration:
    Optimize the search and approval of high impact medicines with a focus on speed, cost and precision.
  • Manufacturing Excellence:
    Improve the efficiency, quality and consistency of core manufacturing processes, specifically execution and equipment effectiveness.
  • Sales Effectiveness:
    Simplify the process to find, trust and consume relevant customer insights that drive sales growth and improved engagement.
  • Productivity:
    Expand operating margin through efficiency by systematically reducing our operating expenses across the company, improving profitability.
Your Responsibilities
  • Consume and Integrate AI Models:
    Design, build, integrate, and deploy AI powered solutions to solve complex business challenges.
  • Collaborate Across Teams:
    Work closely with software/data engineers, data stewards/scientists, and business stakeholders to understand requirements and deliver scalable, integrated AI solutions.
  • Build Production-Ready Solutions:
    Engineer and maintain robust solutions, with a focus scale, reliability and operational efficiency.
  • Drive Innovation:
    Stay current with the latest advancements in AI and identify opportunities to apply new technologies to advance Elanco’s mission.
  • Ensure Quality & Performance:
    Write clean, efficient, and well-documented code, and ensure all solutions are optimized for performance, security, and scalability.
  • Translate Business Needs:
    Effectively translate business requirements into technical specifications for AI-driven products and features.
What You Need to Succeed (Minimum Qualifications)
  • Educational Background: A Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related technical field.
  • Required Experience: 3+ years experience in Artificial Intelligence, Data Science or relevant experience.
  • Programming Proficiency:
    Strong experience in JavaScript, Type Script, and/or Python. Proficiency with common libraries and frameworks.
  • Cloud

    Experience:

    Hands-on experience with Public Cloud, specifically Microsoft Azure and Google Cloud Platform (GCP) and their associated Data/AI/ML services.
  • Dev Sec Ops :
    Proven experience with relevant Dev Sec Ops  concepts and tooling, including Continuous Integration/Continuous Delivery (CI/CD), Git SCM, Containerization (Docker, Kubernetes), Infrastructure-as-Code (Hashi Corp Terraform).
  • Data

    Skills:

    Solid understanding of data structures, data modelling, and experience with common database structures/models.
  • Problem-Solving:
    Excellent analytical and problem-solving skills with the ability to work on complex challenges independently and in a team setting.
  • Communication:
    Strong verbal and written communication skills, with the ability to explain complex technical concepts to non-technical audiences.
  • Industry Experience (Nice to Have):
    Experience in the life science, animal health, or a related regulated industry.

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