AI Engineer

Looking to join a passionate team dedicated to developing and manufacturing life-saving biopharmaceuticals? Avid Bioservices is a leading clinical and commercial biologics CDMO focused on creating innovative solutions to meet the needs of our clients and improve patient outcomes.

Your Role:
The AI Engineer is a developing professional role responsible for supporting the design, development, testing, deployment, and ongoing support of artificial intelligence, automation, and data-enabled business solutions across Avid Bioservices. This role partners with business stakeholders and technical teams to understand current workflows, identify practical opportunities for improvement, and implement AI-enabled solutions that improve efficiency, quality, documentation, and employee productivity.

Key Responsibilities:

• Design, develop, test, deploy, and support AI-enabled applications, automations, workflows, and business solutions using approved enterprise platforms and technologies.
• Assist with proof-of-concept, pilot, and enhancement activities for solutions involving large language models, AI agents, workflow automation, OCR, document intelligence, and related technologies.
• Collaborate with business stakeholders to understand current-state processes, pain points, operational requirements, and opportunities for process improvement.
• Translate business requirements into technical designs, functional configurations, workflow diagrams, and implementation documentation.
• Troubleshoot and resolve issues related to AI-enabled solutions, integrations, automations, and user adoption.
• Support AI governance, security, privacy, validation, change control, and documentation expectations in partnership with IT, Quality, and business stakeholders.
• Maintain solution documentation, including design decisions, requirements, workflows, configurations, test results, deployment notes, and support procedures.
• Measure and communicate practical outcomes such as cycle-time reduction, productivity gains, quality improvements, and user adoption for assigned projects.
• Stay current on artificial intelligence, automation, Microsoft technologies, and relevant enterprise technology trends.
• Other duties as assigned.

Minimum Qualifications:

• Bachelor's degree in Computer Science, Information Systems, Software Engineering, Data Science, Artificial Intelligence, or a related technical discipline with 2 or more years of relevant experience; or a master's degree/PhD in a related discipline with no prior professional experience.
• Experience developing or supporting solutions using programming languages such as Python, JavaScript, C#, or similar.
• Foundational understanding of APIs, structured and unstructured data, systems integration, workflow automation, and software development concepts.
• Foundational understanding of artificial intelligence, machine learning, large language models, prompt engineering, AI agents, or automation technologies.
• Strong analytical, troubleshooting, documentation, and problem-solving skills.
• Strong written, verbal, and interpersonal communication skills, with the ability to work effectively with technical and non-technical stakeholders.
• Ability to manage multiple priorities, follow established standards, and work independently within an established framework.
• Demonstrated curiosity, initiative, and willingness to learn emerging technologies.

Preferred Qualifications:

• Experience with Microsoft Copilot Studio, Microsoft 365 Copilot, Power Platform, AI Builder, Azure AI Services, or related Microsoft technologies.
• Experience with workflow automation platforms, low-code/no-code development environments, or business process automation tools.
• Familiarity with OCR, document intelligence, knowledge management, retrieval-augmented generation, AI agent development, or prompt engineering.
• Knowledge of SQL, Power BI, data visualization, reporting, or data analysis tools.
• Experience developing prototypes, proof-of-concepts, or internal business tools.
• Experience working in regulated industries such as biotechnology, pharmaceuticals, healthcare, life sci