Senior AI Engineer — Copilot Studio & LLM Ops

Saxo Bank; Aarhus; Hybrid; DKK 700,000 - 1,100,000; Full time

Job summary

Saxo Bank is seeking a Senior AI engineer to design and deliver production-grade AI agents across low-code and high-code stacks. You will create reusable frameworks, ensure security and compliance, and collaborate with product, risk, and security teams to enable safe, scalable, and measurable AI experiences in a regulated financial services environment.

You will mentor peers, define standards, and drive adoption of Copilot Studio, Power Platform, and modern orchestration patterns while focusing

Qualifications

• 7+ years in software engineering, incl. 3+ years cloud development and 2+ years production LLM/agent work
• Strong coding in C#/.NET for enterprise services/SDKs/integrations and Python for AI orchestration, evaluation, and tooling
• Hands‑on experience with Copilot Studio / Power Virtual Agents and Power Platform or an equivalent: prompt design, plugins, custom connectors, and applying enterprise governance/DLP
• Hands‑on experience with both using and implementing MCP servers in a secure environment
• Solid understanding of agent architectures: tool/function calling, planning loops, multiagent patterns, and RAG with vector stores/Azure AI Search, grounding, and citations
• LLMOps expertise: evaluation frameworks, golden sets, prompt regression, adversarial testing, content safety, and jailbreak/injection defenses
• CI/CD and reliability skills: GitHub/Azure DevOps, pipelines, Docker, observability (OpenTelemetry, Elastic, Prometheus/Grafana)
• Strong communicator able to mentor, set standards, and drive adoption across teams

Responsibilities

• Define and own engineering standards for agent development across low code/zero code (e.g. Copilot Studio) and high code (cloud-native, C#/.NET, Python) including testing, telemetry, security, and documentation
• Build reusable frameworks, SDKs, and templates for prompt management, tool orchestration, RAG, evaluation/guardrails, and observability with cost and rollback controls
• Support a centralized LiteLLM based access layer, including model routing, failover, caching, rate/cost optimization, and governance across Azure OpenAI and other providers
• Design and deliver production grade agents in Copilot Studio and high-code services using REST/gRPC, Azure components, and containers; experience with Microsoft Agent Framework preferred
• Integrate agents with enterprise systems via MCP patterns, OpenAPI APIs, data platforms, Kafka, Microsoft 365/Graph, and secure auth
• Establish LLMOps: evaluation pipelines, prompt/version management, staged rollouts, safety defenses, and robust monitoring/incident response
• Partner with Risk/Compliance/Security to implement Responsible AI controls, data minimization, PII protection, boundary enforcement, and audit-ready docs
• Upskill colleagues through enablement sessions, guides, playbooks, and Center of Excellence for Power Platform/Copilot
• Collaborate across product lifecycle: translate business needs into agent capabilities, define success metrics, iterate delivery, and own ADRs/roadmaps/buy-vs-build guidance

Skills

C#/.NET

Python

Cloud development

LLMOps

Copilot Studio

Power Platform

REST/gRPC

Azure

OpenAI tooling

Tools

Docker

Kubernetes

GitHub/Azure DevOps

OpenTelemetry

Elastic

Prometheus/Grafana

Azure OpenAI

Job description

Saxo Bank is seeking a Senior AI engineer to design and deliver production-grade AI agents across low-code and high-code stacks. You will create reusable frameworks, ensure security and compliance, and collaborate with product, risk, and security teams to enable safe, scalable, and measurable AI experiences in a regulated financial services environment.

You will mentor peers, define standards, and drive adoption of Copilot Studio, Power Platform, and modern orchestration patterns while focusing