Ai Platform Lead

**About the role**:
We are building a new AI Platform team to power the next generation of intelligent features in our cloud-based retail system for hearing care. This team owns the core AI services behind Auditdata product portfolio.

AI platform includes:

- ML which is used for speech to text service and transcription
- LLM-based data transformation
- Agentic AI workflows
- Retrieval Augmented Generation layer
- Internal agent / orchestration framework for tool-calling and multi-step workflows

As an AI Platform Lead, you will be the hands-on technical owner of a new AI platform - its reliability, performance, and cost of AI services in production (SLIs/SLOs, incident response, optimizations). You’ll design and build production services, lead a team of engineers, and collaborate with different stakeholders internally and externally to evolve overall technical direction.

This role is for someone who wants to both code and lead.

**What you will do**:

- Design, implement, and operate cloud-native AI services on Azure, integrating with our.NET microservices and Kubernetes-based platform.
- **Design and own** Azure AI infrastructure.
- Own and evolve **speech-to-text transcription** pipeline.**Build and maintain** LLM-driven data transformation capabilities, including:

- Prompt and template management
- Retrieval-augmented generation (RAG) over domain-specific data
- Guardrails, auditing, and safety controls for clinical/regulated contexts.**Design and own** an agent framework as a reusable platform that all Auditdata products can use:

- Orchestrate tools and backend services through LLMs
- Implement robust, traceable multi-step workflows
- Enforce permissions, logging, and audit trails.**Leadership**:

- Lead in best practice, support architectural decisions and ensure smooth, high-quality feature delivery
- Lead and mentor a group of engineers
- Review designs and pull requests
- Drive improvements in code quality, resilience, and observability.**Collaborate** closely with architects:

- Co-create and refine AI-related architecture within broader enterprise guidelines, not just implement predefined designs
- Act as the primary hands-on expert for AI services, bringing real production constraints into architectural decisions (tradeoffs, complexity, constraints)
- Drive proposals to extend or adjust reference architectures where AI use-cases demand it.**Partner** with product and other engineering teams:

- Define clear APIs and SDKs so other teams can build on the AI platform
- Prioritise platform work based on product needs and technical risk
- Communicate tradeoffs of model choice, quality, latency, and cost.

**What success looks like**:

- The AI Platform is established as a **trusted internal platform**used by multiple product teams for AI features
- Transcription, LLM document generation, and the agent framework are **reliable, observable, and cost-efficient** in production
- The AI platform has a **clear roadmap**, aligned with product and architecture, with transparent tradeoffs and priorities
- You are recognized as the **go-to technical leader** for AI services, working peer-to-peer with architects, product, and other engineering leadsWhat success looks like:
**Key competences and expertise**:

- 7+ years of experience building and operating backend or platform services in production
- Strong experience with **.NET** and/or **Python**, and cloud-native services (microservices, APIs, messaging)
- Knowledge of MCP, MAF, Microsoft Foundry
- Hands-on experience building **AI-powered features or services** (e.g. RAG, prompt management, tool-calling, agent-like workflows)
- Experience integrating with **speech-to-text providers** (Azure, Whisper, or similar), or a strong willingness to learn quickly
- Previous experience as a **tech lead / team lead** or similar role, owning systems end-to-end
- Solid engineering practices: testing, CI/CD, observability, performance, and reliability
- Nice-to-haves:_
- Experience in **healthcare / regulated domains**
- Experience with **multi-tenant SaaS** and global deployments
- Azure experience (AKS, App Services, API Management, Key Vault, etc.)
- Experience designing **internal platforms / SDKs** that other teams consume

**What’s in it for you**:

- Long-term engagement in a stable, growing SaaS company.
- High engineering and product standards.
- Flexible environment with a flat organizational structure.
- Professional development opportunities, including certification support.
- A global, diverse, and highly skilled team across Denmark, Ukraine, UK, Poland, Canada, Australia, USA, and more.
- A culture that values personal growth as much as business outcomes.

Feels like it’s a perfect match to you?
- Auditdata is an equal opportunity employer that is committed to create diverse work environment free of discrimination and harassment. We make recruiting decisions based on your experience and skills._