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Principal AI Solutions Architect, Healthcare & Life Sciences - US

  • Dallas
  • New York
  • Orlando
Big team (20+ people)Hot vacancyOther

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Position overview

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.

The estimated salary range for this position is 190,000 to 240,000 USD per year.

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 tradeoffs 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
  • Awareness of responsible AI practices (e.g., model fairness, explainability, usage boundaries)

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Vacation

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Health insurance

We help you to take out an insurance policy for you and your loved ones

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Sick pay

10 days without a doctor's note, afterwards - as per the laws of your country

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Time off for state holidays

According to the official calendar, regardless of the client’s schedule

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Pleasant environment

Two large corporate parties and many small get-togethers for colleagues

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Comfort service

Solving technical and everyday problems at work

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FAQ for Candidates

Work on global projects, grow your career in a supportive, flexible, and innovative tech environment. We help cover the cost of IT certifications and provide access to top-tier courses and learning platforms. View current openings and take the next step with us.

DataArt is a global software engineering company that helps businesses build powerful data, analytics, and AI solutions. We work with clients across a range of industries — including Finance, Healthcare & Life Sciences, Consumer Goods & Retail, Travel, Media & Entertainment, Mobility, and Manufacturing.

Learn more about what we do here.

DataArt supports flexible work formats to help you find the balance that works best for you. You can choose to work from the office, go hybrid, or stay fully remote—each option comes with equal opportunities for growth. We’ll help set you up with secure access and the equipment you need. With 46 remote and onsite official locations, you can join us from almost anywhere in the world.

Learn more about how we work here.

At DataArt, we put people first—fostering a culture built on trust, flexibility, and professional growth. We believe in open communication, mutual respect, and the freedom to choose how and where you work. Diversity, equity, and inclusion are core to our values, and we actively support a workplace where everyone can thrive. From mental health support to global sustainability efforts, we aim to create a healthy, empowering environment for all.

Read more about our culture and values.

There's no one-size-fits-all career path at DataArt—your growth is yours to shape. Whether you want to deepen your technical skills, move into management or sales, or even switch professions entirely, you'll have the support to do it. With exam fees fully covered, you can also earn professional certifications, like AWS, Azure, or Google Cloud. With tools like the Professional Development Map, the Talent Lab, and access to expert mentoring, we help you build your desired career.

Learn how we support both newcomers starting their careers and experienced professionals looking to grow further.

DataArt offers competitive compensation along with a range of thoughtful benefits that support your well-being, growth, and daily comfort. You’ll get flexible vacation and sick leave, mental health programs, and access to a corporate laptop or BYOD option. We also offer bonuses for referrals, parental leave, and smooth exit and return-to-work options.

Read more about how things work at DataArt.

At DataArt, we focus on creating an environment where people want to stay and grow. With 95% of employees recommending us to a friend on Glassdoor and a 100% CEO approval rating, we’re proud of the trust we’ve built. From mentoring programs and professional development services to support and conflict resolution programs, we invest in our colleagues' growth and wellbeing—because when people feel valued, they stick around.

Learn more about our company >here.

Our interview process is designed to be thorough, transparent, and supportive. It starts with a CV review, followed by an HR interview to discuss your background and goals. You'll then go through communication and technical assessments, where we evaluate your English skills and knowledge of relevant technologies. If all goes well, you’ll meet someone from the project team to learn more about the work, and we’ll guide you every step of the way—including helping you prep for any client interviews.

Read more and get tips for each stage here.

DataArt looks for candidates with strong technical skills, analytical thinking, and a commitment to continuous learning. We value experience in relevant technologies and industries, adaptability, and excellent communication skills. If you’re a junior or just starting out, don’t worry—our mentorship programs and training will support your growth from day one. The most important thing is your willingness to learn and develop professionally in our collaborative, people-first environment.

Read more about development in DataArt.

At DataArt, continuous learning is part of our culture. You’ll have access to expert mentors, leadership guidance, and thousands of courses from top platforms like Udemy and LinkedIn Learning. You can shape your own path—whether it’s growing within your role or switching to a new one.

Explore how we support your growth.