- Company Name
- Avensys Consulting
- Job Title
- Senior AI Engineer(.Net Framework)
- Job Description
-
**Job title**
Senior AI Engineer (.Net Framework)
**Role Summary**
Design, develop, and scale secure, cloud‑native AI platform services and public APIs on Microsoft Azure using .NET technologies. Lead rapid prototyping, architectural reviews, and end‑to‑end AI solution delivery while mentoring junior engineers and ensuring compliance with AI ethics and security standards.
**Expactations**
- Minimum 10 years of software engineering, preferably platform or cloud‑native service development with Microsoft and .NET stack.
- Proven expertise in AI/ML, Large Language Models, RAG, agent orchestration, and prompt engineering.
- Strong understanding of AI ethics, regulations, and responsible AI practices.
- Demonstrated leadership in mentoring, code quality, and Agile collaboration across global teams.
**Key Responsibilities**
- Build scalable, fault‑tolerant Azure services (Functions, AKS, API Management).
- Design and expose secure, well‑documented RESTful APIs and SDKs for internal and external use.
- Architect AI pipelines: model deployment, training, tooling, and orchestrated agent workflows.
- Embed robust security controls, authentication/authorization, and data privacy safeguards.
- Conduct design reviews, code reviews, and architecture discussions to maintain engineering excellence.
- Mentor junior developers, champion continuous learning, and foster a culture of innovation.
- Collaborate with cross‑functional teams on data pipelines, orchestration, and service APIs.
- Utilize AI tooling (GitHub Copilot, Semantic Kernel, AI Foundry) and automated testing for AI outputs.
**Required Skills**
- Languages: C#, .NET, Python
- Platforms: Microsoft Azure (Functions, AKS, API Management, Azure AI services)
- API: RESTful design, versioning, testing, lifecycle management
- Security: API security, authentication, authorization, data privacy
- AI: Large Language Models, Retrieval‑Augmented Generation, prompt engineering, agent orchestration, model context protocols, AI ethical frameworks (NIST AI RMF, EU AI Act)
- ML frameworks: PyTorch, TensorFlow, Scikit‑learn
- DevOps/Tooling: GitHub Copilot, AI Foundry, Semantic Kernel, automated AI testing tools
- Methodologies: Agile, cross‑functional collaboration, mentorship
**Required Education & Certifications**
- Bachelor’s degree in Computer Science, Software Engineering, or related field (or equivalent experience).
- Microsoft Azure certifications preferred (e.g., AZ‑204, AI‑900).
- .NET or AI‑specific certifications (e.g., Microsoft Certified: Azure AI Engineer Associate) optional but advantageous.
Cambridge, United kingdom
Hybrid
Senior
12-09-2025