Senior Software Engineer

The Department of Pharmacy Practice and Science trains pharmacist and scientist leaders in patient-centered care interprofessional practice and patient and population-oriented research. We are seeking an experienced and high-performing software developer with expertise in software engineering and agentic AI infrastructure along with enthusiasm for working with a mid-sized academic team to develop optimized software and workflows for genomic and proteomic data analysis. The selected candidate will lead development efforts for both high-performance command-line analysis software and cloud-based web services.

Visa sponsorship is not available for this position.

Outstanding U of A benefits include health dental and vision insurance plans; life insurance and disability programs; paid vacation sick leave and holidays; U of A/ASU/NAU tuition reduction for the employee and qualified family members; retirement plans; access to U of A recreation and cultural activities; and more!

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• Architect and lead development of agentic AI systems for scientific research including multi-agent orchestration tool-use and retrieval infrastructure model serving and evaluation pipelines and the abstractions that let LLM-driven agents reliably perform data wrangling visualization and analysis.
• Responsible for translating open-ended research problems into production-quality system designs selecting and integrating model and framework technologies and establishing engineering standards that keep these systems robust observable reproducible and maintainable at scale.
• Design write and evaluate algorithms software workflows and data management architectures supporting large-scale genomics and molecular dynamics data. Programming languages will include Python for agentic infrastructure data management and analysis and Rust for speed-optimized algorithm implementations.
• Projects will entail development of command line tools APIs and cloud-based web services (both public and private cloud).
• Establish and maintain industry-grade software engineering practice across the research group including testing continuous integration and deployment documentation release management security and credential handling and cost and resource monitoring.
• Provide implementation and administration of workflow systems containerization frameworks and deployment onto national computational infrastructure such as DOE and NSF-supported HPC and cloud resources.
• Provide technical leadership mentoring and training for software engineers graduate students and undergraduate researchers including code review architectural guidance and establishing shared engineering conventions.
• Contribute to grant development strategic planning of the groups technical direction and representation of the groups software and AI infrastructure work to collaborators funding agencies and the broader scientific community.

Knowledge Skills and Abilities:

• Ability to turn open-ended problems into concrete system architectures.
• Ability to communicate effectively in both technical and non-technical contexts.
• Ability to mentor and technically lead junior software engineers.

This job posting reflects the general nature and level of work expected of the selected candidate(s). It is not intended to be an exhaustive list of all duties and responsibilities. The institution reserves the right to amend or update this description as organizational priorities and institutional needs evolve.

• Bachelors degree in Computer Science or related field or equivalent advanced learning attained through professional level experience required.
• Minimum of 8 years of relevant work experience is required.

• Experience setting software engineering standards across a team.
• Experience designing and operating production-grade cloud services.
• Mastery architecting LLM-based agentic systems including orchestration tool use and evaluation.
• Mastery with Linux HPC and cloud environments.