As a leading global animal health company, Elanco delivers innovative products and services to improve the health of pets and farm animals around the world because we believe making animals' lives better, makes life better. Since 1954, we have provided solutions that support veterinarians, farmers and pet owners to advance our vision of Food and Companionship Enriching Life. Elanco's promise to employees: Together, we foster an inclusive culture where everyone can make a difference, encouraging ownership, growth and well-being.
Position Description:
Over the past 4 years Elanco IT has been on an incredibly exciting journey. Separating from our parent company and standing up on our own gave us a once in a lifetime opportunity to build a modern technology stack free of the burden of large-scale technical debt. We are now looking to take this one step further, leveraging newly established engineering capabilities to help Elanco deliver on customer needs faster than ever before.
This role is part of our new enterprise platform engineering team with a specific focus on generative AI capability and their implementation in Elanco. This role will be working on the cutting edge of GenAI capability strategizing, build and supporting our own implementations in Elanco. This is an incredibly exciting opportunity to not only work on cutting edge technology but to contribute to the continued growth of a new highly skilled engineering organisation.
To be successful in an engineering role in Elanco requires a highly motivated individual, with an innovative mindset and a willingness to drive tangible outcomes. The individual must be able to articulate complex technical topics, collaborate with external partners and ensure quality delivery of the required solution.
Responsibilities:
Engineering
* Work with Principal Platform Engineer to help drive direction of platform and automation capabilities including our internal technical products.
* Work with a diverse team on some of Elanco’s most exciting engineering initiatives helping drive secure, reliable, and efficient using the latest technology.
* Look for continuous improvement opportunities in our core ecosystem identifying new ways to enhance application team and developer experience.
* Bring your expertise into a team of talented engineers and continually help shape where the team can help to better enable our secure, reliable, efficient vision.
* Follow the value mentality with opportunity to work across the engineering team helping to ‘walk in the shoes’ of application teams as well as operational engineering teams.
Daily / Monthly Responsibilities
* Operations responsibility for our technical product set and related cloud automation products including technical expertise, customer engagement and strong operational process governance.
* Help work with distributed teams across the business on how to consume AI/ML capabilities.
* Help land changes and upgrades of deployment patterns into application teams helping teams to manage impact downstream to their applications.
* Clear communications to app teams and leadership as new versions of AI/ML services are being shipped.
* Being clear on mandatory and non-mandatory changes to ensure a healthy portfolio.
* Hands on code, build, govern and maintain.
* Working as part of a scrum team, deliver high quality technical deliverables.
* Building new and enhancing existing automation patterns across our multi-cloud estate.
* Designing and building solutions to support the automation of manual IT and business processes.
* Continually modernise software development processes using Continuous Integration and Continuous Delivery (CI/CD) techniques to ensure efficient and high-quality delivery.
* Establish strong partnerships with key service integrators (vendors), helping to support the adoption of automation capabilities.
* Establish a strong partnership with our application health program and Information Security, helping to identify opportunities and mitigate risks.
* Coach and mentor junior engineers, members of our student program to help build a strong connected organisation.
* Supporting application teams, internal and external, helping to resolve barriers related to building, deployment, and utilisation of engineering products.
Basic Qualifications:
Must have experience in the following areas.
* Working within a DevOps team including modern software development practices, covering Continuous Integration and Continuous Delivery (CI/CD), Test-Driven Development (TDD), SDLC, etc.
* Developing machine learning models (PyTorch or TensorFlow)
* Working with Large Language Models (e.g GPT, PaLM, Llama)
* Strong background in either Python/Typescript
* Familiarity with Retrieval Based Augmentation concepts
* Experience with Vector Databases
* Experience using Embeddings services in conjunction with Vector Databases
* Familiarity working within an agile team.
* Operational experience taking internal products and ensuring they are well maintained, supported and iterated upon.
* Experience working with technical and non-technical team members to encourage adoption of new versions of software or products.
Experience in some of the following areas.
* Experience working with Cloud Native design patterns, with a preference towards Microsoft Azure / Google Cloud.
* Hands-on Technical experience with at least some of our core technologies (Terraform, Ansible, Packer, TypeScript, Python).
* Experience working in/with an infrastructure team advantageous.
* Building and leveraging search interfaces
* Experience with modern application architecture methodologies (Service Orientated Architecture, API-Centric Design, Twelve-Factor App, FAIR, etc.).
* Familiarity with natural language processing or AI technologies (e.g LLMs such as ChatGPT or BARD, Embeddings, Prompt Engineering)
* Experience with machine learning, data pipelines and preferably processing of documents (e.g using Google Cloud Fusion/Azure Data Factory)
* Experience in new database technologies such as vector databases advantageous
* Strong background in either Python/Typescript
* Knowledge of natural language processing (NLP) and computer vision techniques for advanced automation and generative AI applications.(e.g SpaCy, NLTK, or Hugging Face).
* Experience supporting digital platforms, including Integrations, Release Management, Regression Testing, Integrations, Data Obfuscation, etc.
* Experience scaling an “API-Ecosystem”, designing, and implementing “API-First” integration patterns.
* Experience working with authentication and authorisation protocols/patterns.
Other Information: Occasional travel may be required.
Elanco is an EEO/Affirmative Action Employer and does not discriminate on the basis of age, race, color, religion, gender, sexual orientation, gender identity, gender expression, national origin, protected veteran status, disability or any other legally protected status