[Remote] Principal AI Solutions Architect - Healthcare & Life Sciences

Note: The job is a remote job and is open to candidates in USA. EMBS Technology is transforming Healthcare and Life Sciences through Artificial Intelligence. They are seeking a Principal AI Solutions Architect to lead AI strategy, identify opportunities, and deliver innovative AI solutions while collaborating with cross-functional teams and influencing AI programs from discovery to delivery.

Responsibilities

• Leading discovery workshops to identify high-value AI and Machine Learning opportunities
• Defining, shaping and delivering AI Proof of Concepts (PoCs) and Minimum Viable Products (MVPs)
• Designing and developing Generative AI solutions using Retrieval-Augmented Generation (RAG), Agentic AI and hybrid architectures
• Building scalable AI applications using Azure, AWS or Google Cloud AI services, Large Language Models, vector databases and modern AI frameworks
• Developing AI solutions integrated with cloud data platforms including Snowflake and Databricks
• Working closely with engineering teams to deliver production-ready AI solutions
• Presenting demonstrations and solution roadmaps to both technical and executive stakeholders
• Running AI strategy workshops with business leaders and client teams
• Translating complex technical concepts into clear commercial outcomes and measurable ROI
• Developing reusable AI accelerators, frameworks and reference architectures
• Promoting responsible AI adoption, governance and best practice across client engagements
• Contributing to technical thought leadership through demonstrations, workshops and enablement content

Skills

• Extensive experience designing and delivering enterprise AI solutions
• Experience operating at Director, Principal or equivalent level within client-facing environments
• A background in consulting, professional services or technology advisory
• Strong experience with at least one hyperscale cloud platform - Azure, AWS or Google Cloud
• Proven expertise designing and implementing Retrieval-Augmented Generation (RAG) solutions
• Experience developing Agentic AI applications and modern AI workflows
• Strong knowledge of Snowflake and/or Databricks
• Experience delivering client-facing AI PoCs and taking solutions into production
• Previous experience in Healthcare or Life Sciences
• A strong understanding of healthcare regulations and compliance frameworks including HIPAA, GDPR, ISO 13485 and ISO 42001
• The ability to translate complex business challenges into practical AI solutions
• A solid understanding of the strengths and trade-offs between open-source and commercial Large Language Models
• Excellent communication and stakeholder management skills
• Willingness to travel to client sites across the US, with occasional international travel
• Healthcare interoperability standards including FHIR and HL7
• Healthcare integrations such as TEFCA, eRx or Clearinghouses
• Vector databases and LLM fine-tuning
• AI orchestration frameworks such as LangChain or Semantic Kernel
• Responsible AI, model governance and explainability
• Creating technical enablement content, demonstrations or thought leadership

Benefits

• Comprehensive medical, dental and vision insurance
• 401(k) with employer contribution
• Generous holiday allowance
• Flexible working arrangements
• Ongoing professional development and access to emerging AI technologies
• Comprehensive Benefits

Company Overview