Senior Applied AI Engineer
Hologic, Inc.1 month ago
San Diego, CA, USASenior
Responsibilities
- Partner with business teams to discover, prioritize, and define problems where AI can provide value.
- Define project success measures and translate rough ideas into actionable problem statements, options, and plans.
- Design and build copilots, agents, RAG applications, workflow automations, and other AI solutions.
- Develop solutions using Python, JavaScript/TypeScript, C#, and low-code platforms such as Power Automate and Logic Apps.
- Integrate, deploy, monitor, evaluate, support, and improve AI solutions across enterprise systems, data, and APIs.
- Collaborate with security, architecture, governance, compliance, privacy, and operations teams to make solutions enterprise-ready.
- Explain AI capabilities, limitations, risks, and trade-offs to technical and non-technical stakeholders.
- Document designs and decisions, coach teammates, review designs, and contribute to shared patterns and standards.
- Support adoption through training, feedback sessions, and change support.
Requirements
- Bachelor's degree in a technical field or equivalent practical experience.
- Five to eight years of experience in software, solutions, data, or ML engineering, including at least two years building AI, ML, or automation solutions.
- Strong programming skills in Python, JavaScript/TypeScript, C#, or a similar language, with willingness to use low-code platforms.
- Working knowledge of LLMs, RAG, agents, prompt engineering, and AI output evaluation.
- Familiarity with Claude, OpenAI, Gemini, and leading open-source models, including their practical strengths and limitations.
- Hands-on experience building, integrating, and deploying applications on Azure with APIs, cloud services, and authentication.
- Experience leading requirements discussions with business stakeholders and defining success measures.
- Demonstrated ability to own projects end to end and bring them into production with limited direction.
- Clear communication skills with technical audiences, business stakeholders, and senior leaders.
- Preferred experience applying AI or analytics in quality or commercial settings, shipping AI agents or RAG applications, using LangGraph, Semantic Kernel, or Model Context Protocol, working with Power Platform, containerization, monitoring, observability, production support, business analysis, consulting, product management, or regulated environments.
Benefits
- Hybrid working model with three days in the office.
- Opportunity to own complex technical initiatives from concept through production.
- Exposure to modern AI platforms, agents, RAG applications, copilots, intelligent workflows, automation, and Responsible AI practices.
- Cross-functional collaboration across business, IT, security, architecture, governance, compliance, privacy, and operations.
- Opportunity to contribute to reusable AI patterns, reference architectures, governance-aligned practices, and enterprise standards.
- Comprehensive benefits package including 401k and insurance.
Tech Stack
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