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Principal AI + Dotnet Fullstack Engineer

Job Description - Principal AI + Dotnet Fullstack Engineer

Job Title: Principal Engineer – AI / Agentic AI Architecture Lead

Role: Principal Engineer

Specialisation: AI / Agentic AI Architecture

Experience: 15+ Years (Preferred)

Employment Type: Contract


Job Summary

We are looking for an experienced Principal Engineer – AI / Agentic AI Architecture Lead to drive enterprise-scale architecture, technical strategy and delivery of AI-powered platforms and Agentic AI solutions.

The ideal candidate will have strong expertise in enterprise architecture, full-stack engineering, AI orchestration, cloud-native platforms and LLM-powered applications. This role requires a hands-on technical leader capable of defining architecture, establishing governance and guardrails, and guiding engineering teams in delivering scalable, secure and reliable AI solutions.

Key Responsibilities

  • Lead enterprise-scale AI and Agentic AI architecture, technical strategy and solution design.

  • Define architectural standards, governance frameworks, security controls and AI guardrails.

  • Design and deliver scalable AI-powered platforms and intelligent agent ecosystems.

  • Drive integration of AI agents with enterprise applications, APIs and business systems.

  • Establish reusable frameworks for AI orchestration, RAG, vector search and knowledge retrieval.

  • Guide engineering teams across React/TypeScript, C#/.NET, APIs and cloud-native development.

  • Define human-in-the-loop workflows, escalation mechanisms and Responsible AI practices.

  • Drive agent observability, evaluation, reliability, performance and operational excellence.

  • Collaborate with business stakeholders, architects and engineering leaders to translate business requirements into technical solutions.


Mandatory Technical Skills

  • Strong software engineering fundamentals across C#, .NET, React and TypeScript.

  • Extensive experience in enterprise architecture and solution design.

  • Hands-on experience building LLM-powered applications and Agentic AI solutions.

  • AI agent development, orchestration and conversational application architecture.

  • RAG pipelines, prompt engineering, vector databases and semantic search.

  • API development, REST services, microservices and enterprise integrations.

  • Cloud-native development using Microsoft Azure and/or AWS.

  • CI/CD, DevSecOps, automated testing and production support.

  • AI security, governance, observability and performance monitoring.


AI / Agentic AI Capabilities

  • Building intelligent AI agents and conversational applications.

  • API/tool integration and enterprise system orchestration.

  • Retrieval-Augmented Generation (RAG), vector search and knowledge retrieval.

  • Intent classification, NLU/NLP, entity extraction and context management.

  • Human-in-the-loop workflows and escalation patterns.

  • Multi-agent architectures and AI workflow orchestration.

  • Agent testing, evaluation, reliability and monitoring.

  • Responsible AI implementation and enterprise AI governance.


Highly Desirable Skills

  • Microsoft Copilot Studio.

  • Azure OpenAI and Azure AI Foundry.

  • Microsoft Semantic Kernel.

  • Dynamics 365 Contact Centre.

  • Voice Bots, IVR, PSTN and Contact Centre Routing.

  • Power Platform and Dataverse.

  • Synthetic conversations and automated agent testing.

  • Multi-agent orchestration frameworks.


Ideal Candidate Profile

The ideal candidate will be a senior technology leader with a combination of deep software engineering expertise, enterprise architecture capabilities and practical experience delivering production-grade AI and Agentic AI solutions.

Candidates should demonstrate the ability to define technical direction while remaining hands-on in architecture, solution design and engineering delivery.



When you apply, you voluntarily consent to the disclosure, collection and use of your personal data for employment/recruitment and related purposes in accordance with the Tech Aalto Privacy Policy, a copy of which is published at Tech Aalto’s website (https://www.techaalto.com/privacy/)

Confidentiality is assured, and only shortlisted candidates will be notified for interviews.



 
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