At a Glance
- Tasks: Lead AI solutions in healthcare, prototyping and collaborating for impactful outcomes.
- Company: Join a forward-thinking tech company transforming healthcare with AI.
- Benefits: Enjoy vacation, health insurance, and a supportive work environment.
- Other info: Dynamic role with opportunities for professional growth and innovation.
- Why this job: Shape the future of healthcare with cutting-edge AI technologies.
- Qualifications: Experience in AI services, client engagement, and healthcare workflows required.
The predicted salary is between 80000 - 100000 £ per year.
As a Principal AI Solutions Architect within DataArt’s Healthcare & Life Sciences practice, you will bridge the gap between advanced AI tools and real-world business impact. You’ll operate at the intersection of hands‑on prototyping, cross‑functional collaboration, and stakeholder education. Your focus: drive measurable client outcomes through AI‑enabled efficiencies and new digital experiences. You will shape how AI is adopted across the healthcare and life sciences industries — from intelligent copilots and personalization engines to developer acceleration and operational optimization — by prototyping real solutions, articulating business value, and driving adoption from C‑suite to delivery teams. You will work closely with client account teams (50+ active clients) and DataArt’s AI + Data Lab to identify high‑value use cases, prototype rapidly, validate with stakeholders, and showcase scalable solutions that clients can adopt.
Responsibilities
- Lead ideation and scoping of AI/ML proof of concepts (PoCs) in coordination with client account leaders
- Rapidly prototype and iterate AI features (chatbots, NLP services, recommender systems, etc.)
- Direct internal DataArt teams to execute PoCs with clarity, velocity, and alignment
- Own the "show-and-tell" lifecycle: internal demo → stakeholder validation → external client presentation
- Develop GenAI applications based on RAG variations, Agentic, hybrid models. Leverage Agentic SDLC and advocate for adoption.
- Develop with hyperscaler AI tools (Azure, GCP, AWS), LLM APIs, vector search, GenAI, Agentic SDKs and Agentic Runtimes (Agent Core, Agent Engine, etc.)
- Define reusable AI building blocks and Healthcare-specific agent scaffolds that feed into the Connect AI ecosystem
- Build working solutions integrated with cloud data platforms like Snowflake and Databricks
- Embed AI into client‑facing products or operations (e.g., personalization, crew ops, service automation)
- Shape internal best practices for GenAI use in SDLC and Healthcare product lifecycle — from opportunity discovery to ops telemetry
- Create AI demo assets: notebooks, dashboards, blog content, or walkthrough videos
- Run workshops and working sessions with client teams and business leaders
- Act as a translator and evangelist, helping stakeholders understand responsible AI adoption and potential ROI
Requirements
- Hands‑on experience with AI services from at least one major cloud provider (Azure, AWS, GCP)
- Demonstrated ability to operate at Director level or above in client engagements, influencing both technical and business stakeholders
- Experience with designing and implementing RAG based applications
- Strong background with Snowflake and/or Databricks for data engineering and AI pipelines
- Proven success leading client‑facing PoCs or MVPs from inception to delivery
- Prior exposure to Healthcare or Life Sciences sector
- Strong understanding of Healthcare and/or Life Sciences workflows, regulatory frameworks (HIPAA, CMS-0057-F, GDPR, ISO 13485, ISO 42001, etc.), and industry challenges.
- Ability to translate fuzzy business goals into AI‑enabled outcomes, structuring initiatives from ambiguous needs into scoped, testable, and scalable components
- Fluency in evaluating trade‑offs between open‑source LLMs and commercial APIs, and designing cost‑efficient, scalable architectures
- Strong communicator comfortable with both technical teams and business stakeholders
- Ability to travel to client site (US, EU)
Nice to have
- Exposure to healthcare data standards (FHIR, HL7) and integrations (eRx, Clearinghouses, TEFCA).
- Knowledge of GenAI fine‑tuning, vector DBs, or orchestration frameworks (LangChain, Semantic Kernel, etc.)
- Experience developing internal enablement materials or technical content
Benefits
- Vacation: As per the laws of your country. We do ask you to take a proper rest.
- Health insurance: We help you to take out an insurance policy for you and your loved ones.
- Comfort service: Solving technical and everyday problems at work.
- Pleasant environment: Two large corporate parties and many small get‑togethers for colleagues.
- Benefits package may vary depending on the region and the type of contract.
Principal AI Solutions Architect, Healthcare & Life Science employer: DataArt
DataArt is an exceptional employer for those seeking to make a significant impact in the healthcare and life sciences sectors. With a strong focus on innovation, employee growth, and collaboration, we offer a vibrant work culture that encourages creativity and professional development. Our London location provides access to a diverse client base and cutting-edge AI technologies, ensuring that our team members are at the forefront of industry advancements while enjoying a supportive environment with comprehensive benefits.
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We think this is how you could land Principal AI Solutions Architect, Healthcare & Life Science
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We think you need these skills to ace Principal AI Solutions Architect, Healthcare & Life Science
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✨Brush Up on Your Statistics
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