Forward Deployed Engineer, AI
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This is a newly created, green-field role and the first Forward Deployed Engineer, AI hired within the company. The person in this role will partner directly with business and scientific stakeholders across multiple functions to identify high-value problems and build and deploy AI-driven solutions that solve them. Because there is no existing playbook for this function, the Forward Deployed Engineer will help define how AI solutions are scoped, built, and delivered internally, working hands-on across the AWS, Azure, Databricks, and Microsoft technology stack alongside the Data Platform Engineer, DevOps Engineer, and Databricks/AWS platform teams.
What you'll do:
- Partner directly with stakeholders across R&D, clinical, manufacturing, commercial, and other business functions to identify, scope, and prioritize opportunities for AI-driven internal solutions.
- Design, build, and deploy agentic AI workflows and applications that solve real operational and scientific problems, working end-to-end from prototype through production.
- Establish foundational engineering practices, standards, and reusable patterns for AI solution delivery, since this is the first role of its kind in the organization.
- Work closely with the Data Platform Engineer to access, model, and productionize data needed for AI solutions across Databricks and AWS.
- Collaborate with the DevOps Engineer to build reliable CI/CD pipelines, deployment processes, and monitoring for AI applications across AWS/ Databricks inside a MS environments.
- Leverage the Databricks platform and AWS services (e.g., Bedrock, Lambda, S3) to build and orchestrate agentic AI workflows and applications, primarily by composing and integrating existing foundation models rather than training new ones.
Full details and application on the official Arrowhead Pharmaceuticals careers page.