We use cookies

    We use cookies to enhance your browsing experience and analyze our traffic. By clicking "Accept", you consent to our use of cookies.

    Limited spots this month

    Get a free 30-min AI Readiness Check

    Book a Call
    Skip to main content
    Kriv AI
    Careers at Kriv AI

    Help regulated organizations move from AI pilots to production

    Kriv AI is a focused, early-stage firm building governed AI systems for healthcare, life sciences, and other regulated mid-market organizations. We offer real-world impact, high ownership, and working close to the problem and the client.

    Why Kriv AI?

    Kriv AI works at the intersection of AI systems, governance & compliance, and high-stakes domains like healthcare & life sciences.

    We're building for organizations that can't afford "move fast and break things".

    Joining Kriv AI means:

    • Shipping real systems into regulated environments.
    • Thinking deeply about risk, safety, and long-term impact.
    • Working closely with founders and clients, not hidden inside a feature factory.
    Governed AI, not toy demos
    Healthcare, pharma & regulated mid-market
    High ownership, multi-hat roles
    Intentional, value-first sales and delivery

    How we work

    Value over hype

    We focus on solving concrete problems for healthcare and regulated clients. Sales and delivery are built around helping customers, not chasing buzzwords.

    Governed by design

    Compliance, security, and ethics are part of our design decisions from day one. We care about long-term trust, not short-term shortcuts.

    Small, focused, hands-on

    Early stage: everyone ships. Expect to work across discovery, design, implementation, and iteration.

    Continuous improvement

    We think in experiments, feedback loops, and weekly iterations. The sales playbook, methodology, and internal tools are all meant to evolve.

    Roles we're interested in as we grow

    These are examples of the kind of talent Kriv AI will look for. Even if this doesn't perfectly match your profile, we're happy to hear from you if you're excited about governed AI.

    AI Implementation Engineer (Healthcare)

    • Work with healthcare & life sciences clients to take AI use cases from idea to production.
    • Comfortable collaborating with domain experts, translating requirements, and guiding deployments.
    • Experience with LLMs, data workflows, or clinical/healthcare data is a plus.
    Focus: Healthcare / Regulated
    Type: Flexible / evolving as we grow

    Agentic Automation Engineer (Zapier / n8n / Power Automate)

    • Design and implement governed workflows using tools like Zapier, n8n, Power Automate, and Copilot Studio.
    • Build robust automations that integrate CRMs, EHRs, data platforms, and communication tools.
    • Focus on observability, safety checks, and resilience, not just quick hacks.
    Focus: Workflow Automation
    Type: Flexible / evolving as we grow

    Data & MLOps Engineer (Governed AI)

    • Build 'AI-ready' pipelines and MLOps foundations for regulated environments.
    • Work with tools like Azure, AWS, Databricks, Snowflake, etc.
    • Own CI/CD/CT for models and agents, monitoring, and traceability.
    Focus: Data & Infrastructure
    Type: Flexible / evolving as we grow

    Engagement Lead / Delivery Lead (Healthcare & Regulated)

    • Partner with C-level and department leaders at mid-market clients.
    • Lead discovery, readiness assessments, and ongoing governance engagements.
    • Translate between business, risk/compliance, and engineering teams.
    Focus: Client Delivery
    Type: Flexible / evolving as we grow

    Didn't see your exact role?

    We're building a long-term team and are open to conversations with the right people. If you're strong in AI, automation, MLOps, governance, or healthcare data, we'd love to hear from you.

    Attach your LinkedIn profile, portfolio, or anything that represents your work. Please mention "Careers / Opportunities" in your message.

    Introduce yourself

    Hiring process at a glance

    1

    Intro & fit conversation

    A short conversation about your background, what you're excited about, and how Kriv AI thinks about governed AI.

    2

    Deep dive (case / technical / portfolio)

    Depending on the role, we may review a past project, walk through a small case, or explore how you'd approach a real problem.

    3

    Ways-of-working & next steps

    Discuss collaboration style, expectations, and how you might plug into current and future engagements.

    If you care about building responsible, production-grade AI for high-stakes environments, we'd love to hear from you.

    Reach out about opportunities