Saxo

FinTech

SeniorAIEngineer

$600–900k ~AI est. Denmark FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Senior AI Engineer at Saxo. Skills: AI agents, LLMOps, Cloud-native development, Copilot Studio. Define engineering standards. Own engineering standards”

What You'll Achieve.

Bring agents to market; Improve agent quality; Improve agent safety; Improve agent grounding; Reduce cost; Reduce latency; Maintain audit ready documentation

Industry & Context.

FinTech
Problems you'll solve

Troubleshooting; Root cause analysis

What They're Looking For.

Must Have

7+ years software engineering, 3+ years cloud development, 2+ years production LLM/agent work, Coding in C#/.NET, Coding in Python, Hands-on Copilot Studio experience, Hands-on Power Platform experience, Hands-on MCP server experience

Nice to Have

Microsoft Agent Framework experience preferred, Experience with LiteLLM preferred, Experience with Microsoft Fabric preferred, Experience with Prompt Flow preferred, Vector database experience preferred, Graph database experience preferred, Experience in financial services helpful, Familiarity with evaluation tools helpful, Familiarity with safety tools helpful, Kubernetes experience beneficial, Kafka experience beneficial, Low-latency architectures experience beneficial, API design skills beneficial, Cost modeling experience beneficial, SRE practices for LLM workloads beneficial, A2A protocol experience advantageous, Agent Client Protocol experience advantageous

What You'll Do.

Define engineering standards

Own engineering standards

Build reusable frameworks

Support LiteLLM access layer

Design production grade agents

Deliver production grade agents

Integrate agents with enterprise systems

Establish LLMOps practices

Implement Responsible AI controls

Collaborate across product lifecycle

Translate business needs

Define success metrics

Own architecture docs

Provide build vs. buy guidance

How You'll Work.

Team & Collaboration

Product development; Risk stakeholders; Security stakeholders; Technology stakeholders; Business stakeholders; Cross-functional teams; Engineering teams; Security teams; Risk teams; Compliance teams; Business teams

Communication Scope

Enablement sessions; Guides; Playbooks; Solution reviews; Architecture docs; ADRs; Roadmaps

Process & Methodology

Roadmaps, Iterative delivery

Full Job Description

Saxo is building the capability for secure, compliant, and scalable AI agents to power internal productivity and client-facing experiences. We are looking for a Senior AI engineer who is equally comfortable building with zero/low-code tools in Microsoft Copilot Studio _and_ delivering high-quality production code in C#/.NET and Python in cloud-native environments. You will set engineering standards, build reusable frameworks and accelerators, coach colleagues, and ship working agents end-to-end. You will work closely with product development (“client journeys”), risk, security, and other technology and business stakeholders to ensure our agents are safe, reliable, cost-effective, and measurable in a regulated financial-services environment. **Responsibilities** * Define and own engineering standards for agent development across low code/zero code (e.g. Microsoft Copilot Studio) and high code (cloud-native, C#/.NET, Python), covering design patterns, testing, telemetry, security, and documentation * Build reusable frameworks, SDKs, and templates for prompt management, tool/function 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 (incl. Power Platform integrations) and in highcode services using REST/gRPC, Azure components, and containers. Experience with Microsoft Agent Framework is preferred, ideally in C#/.NET * Integrate agents with enterprise systems via standard MCP patterns, OpenAPI‑based internal APIs, data platforms, Kafka, Microsoft 365/Graph, and secure auth (Entra ID, OAuth2, managed identities) * Establish LLMOps practices: evaluation pipelines, prompt/version management, staged rollouts, hallucination reduction, safety defenses, and robust monitoring/incident response * Partne

Free ATS check

Applying for this Senior AI Engineer role?

Most applicants get filtered before a human reads their resume. See if yours makes the cut.

How to Apply on Workday

  • Workday has a multi-step form — save your progress after every section.
  • "Apply With LinkedIn" can fail or lose data; manual entry is more reliable.
  • Watch for the "Submit for Review" final step — hitting "Save" alone does not submit.
  • Job requisition numbers are useful when following up with HR by email.

ANONYMOUS · UNFILTERED

What do employees actually say about Saxo?

Real rants from real employees. Read before you apply.

Read Company Rants →