AI ARCHITECT

Location: Remote or Virginia Beach, VA (on-site)
Department: Digital Transformation
Job Type: Full-time
Shift: Monday- Friday, 8:15 a.m.-5:00 p.m. (ET), 25% Travel
Clinical Classification: Non-clinical
LifeNet Health is searching for talented individuals who will embrace our mission of saving lives, restoring health, and giving hope.
LifeNet Health, headquartered in Virginia Beach, Virginia, is the largest nonprofit organ procurement organization (“OPO”) and tissue processor in the United States, as well as a leading innovator in tissue engineering and regenerative medicine. Our goal is to improve the quality of human life through the provision of organs, tissues, and cells for transplantation; to provide innovation in the fields of bio-implants, regenerative medicine and research; and, to serve the community with educational and support services that enhance the donation process. LifeNet Health has over 1200 employees and has a growing global presence.

WHAT YOU’LL BRING (MINIMUM REQUIREMENTS):

• Bachelor’s degree in Computer Science, Artificial Intelligence, Engineering, or related field
• Five (5) years of experience delivering enterprise-scale AI or data-driven solutions
• Five (5) years of experience leading architectural transformation, AI platform development, or enterprise modernization efforts
• Five (5) years of experience working with Agile (SAFe) teams, iterative delivery cycles, and DevOps practices

Preferred Experience/Skills/Certifications:

• Master’s degree
• Two (2) years of experience with AI model integration, could-native platforms, and microservices architecture
• Two (2) years of experience integrating knowledge graphs into AI pipelines for semantic reasoning and structured context
• Large Language Model Alignment & human in the loop optimization: Familiarity with human in the loop methods for aligning LLMs with human preferences
• Agentic AI frameworks: Familiarity with Agentic framework platforms and concepts. Experience deploying agentic-based solutions.

THESE WOULD BE NICE TOO (KNOWLEDGE SKILLS AND ABILITIES):

• LLM Architecture & Prompt Engineering: LLM architecture patterns including retrieval-augmented generation (RAG) and prompt engineering.
• ML & NLP Framework Proficiency: TensorFlow, PyTorch, Scikit-learn, MLflow, Hugging Face Transformers, spaCy, LangChain
• Communication Skills: Excellent verbal and written communication skills; ability to communicate and build relationships with all professionals at different levels within the organization
• Time Management: Ability to prioritize multiple, competing priorities and manage time/ workload. Demonstrated ability to effectively prioritize and juggle multiple time sensitive projects, interdependencies and potential risks/pitfalls.
• Attention to Detail: Ability to perform tasks thoroughly and with care; checks work to ensure high degree of accuracy/completeness and early/on-time delivery
• Proficiency in Microsoft Office: PowerPoint, Excel, Word, Outlook, Microsoft Suite

WHAT YOU’LL DO:

• AI Systems: Design scalable, secure AI architectures that support advanced capabilities. Modernize legacy platforms to reduce technical debt. Define reference models to support enterprise AI initiatives.
• Integration and Interoperability: Collaborate with data, analytics, and IS teams to build cohesive systems that enable AI functionality enterprise-wide. Define reference models and standard interfaces. Provide architectural guidance to engineering teams, promoting a culture of innovation, collaboration, and continuous improvement.
• Technical Delivery: Oversee technical delivery of AI solutions with an emphasis on using modern DevOps and CI/CD practices.
• Performance and Governance: Monitor deployed AI models to ensure operational effectiveness and compliance with ethical and performance standards. Track technical KPIs and system health across environments.

The pay rate for the successful candidate will depend on geographic location and the candidate’s qualifications and prior relevant experience. The pay range for this position is $100,310 annually (entry-level qualifications) to $167,183 annually (experienced in this role).

• Actual compensation may be higher based on the successful candidate’s knowledge and relevant experience