0 Job - EMBS

Principal AI Solutions Architect - Healthcare & Life Sciences

Contract

Full Time

Location

USA, USA

Salary

£240,000

We are recruiting for a Principal AI Solutions Architect to join a global technology consultancy supporting enterprise Pharma, Biotech, Healthcare and Life Sciences clients on large-scale AI transformation initiatives.

Principal AI Solutions Architect - Pharma, Biotech, Healthcare & Life Sciences
Location: US / Remote
(East or Central time zones with occasional client visits)
Salary: Circa $190,000-$240,000 + Benefits

This is a senior, high-impact opportunity sitting at the intersection of AI strategy, solution architecture, client advisory and hands-on innovation delivery. The role is focused on helping pharma, biotech, healthcare and life sciences organizations adopt and scale AI capabilities that deliver measurable operational and commercial value.

You will work closely with senior client stakeholders, delivery teams and AI leadership functions to identify high-value AI use cases, shape AI roadmaps, prototype solutions and support enterprise adoption of modern AI technologies across regulated environments.

The position combines strategic consulting with practical AI solution design, with a strong focus on GenAI, Agentic AI, RAG architectures, cloud AI ecosystems and scalable enterprise delivery.

Key Responsibilities

 

  • Lead AI/ML ideation, discovery and proof-of-concept initiatives with enterprise clients

  • Design and prototype GenAI applications leveraging RAG, Agentic AI and hybrid AI architectures

  • Help shape enterprise AI strategy and identify commercially valuable AI opportunities

  • Partner with business and technical stakeholders to translate complex requirements into scalable AI-enabled solutions

  • Lead stakeholder workshops, AI demonstrations and solution validation sessions

  • Guide cross-functional engineering and delivery teams through AI PoC and MVP execution

  • Build AI solutions leveraging hyperscaler AI ecosystems including Azure, AWS and GCP

  • Develop AI applications integrated with enterprise data platforms such as Snowflake and Databricks

  • Support AI-enabled operational optimization, intelligent copilots, personalization engines and automation initiatives

  • Define reusable AI accelerators, frameworks and scalable architectural patterns

  • Advise stakeholders on responsible AI adoption, explainability and governance considerations

  • Evaluate trade-offs between commercial LLM APIs and open-source AI models

  • Support the development of AI best practices, enablement materials and internal innovation capability

  • Act as a trusted advisor across both technical and business leadership teams


Key Skills & Experience

  • Extensive experience within Pharma, Biotech, Healthcare or Life Sciences environments

  • Strong experience delivering AI solutions within enterprise or consultancy environments

  • Proven background operating in client-facing AI architecture, consulting or solution leadership roles

  • Hands-on experience with AI services across Azure, AWS and/or GCP

  • Experience designing and implementing RAG-based AI applications

  • Strong understanding of GenAI ecosystems, LLM orchestration and modern AI application architectures

  • Experience working with Snowflake and/or Databricks within AI or data platform environments

  • Experience leading AI PoCs, MVPs or innovation initiatives from concept through to delivery

  • Ability to translate ambiguous business challenges into structured AI solutions and delivery plans

  • Strong stakeholder engagement and communication skills across both business and technical audiences

  • Understanding of regulated environments, healthcare workflows and compliance considerations

  • Experience balancing scalability, cost optimization and architectural best practice within AI solution design


Desirable

  • Exposure to healthcare data standards such as FHIR or HL7

  • Experience with vector databases, semantic retrieval or AI orchestration frameworks

  • Knowledge of LangChain, Semantic Kernel or similar frameworks

  • Exposure to responsible AI frameworks, explainability and AI governance

  • Experience creating technical enablement content, demos or innovation assets

  • Experience working within highly regulated enterprise environments


Package

  • Circa $190,000-$240,000 USD base salary

  • Generous vacation allowance & sick days

  • Flexible working hours (with manager approval)

  • Medical, Dental & Vision insurance

  • Basic Life & AD&D Insurance

  • Short & Long-Term Disability cover

  • 401(k) with employer contribution


If you are an experienced AI leader or architect looking to influence enterprise AI adoption, shape innovative AI solutions and work on high-profile transformation initiatives within Healthcare & Life Sciences, this is a standout opportunity with strong long-term investment and visibility.

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