AI Development Specialist; Azure OVA

6 Months Contract

Role Purpose

Lead the design, build, and deployment of production-grade AI solutions on Microsoft Azure. Own end-to-end delivery—from data pipelines to model deployment, ensuring security, reliability, and compliance.

Responsibilities

• Design and implement AI solutions using Azure AI services (OpenAI, AI Search, Machine Learning).

• Develop secure APIs and integrate with enterprise systems using Azure API Management and Event Hub.

• Containerize workloads and deploy to AKS, App Service, or Functions with CI/CD pipelines.

• Ensure observability, performance tuning, and cost optimization for AI workloads.

• Collaborate with cross-functional teams and document architecture, runbooks, and best practices.

• Azure AI & ML:
  Azure OpenAI Service, AI Studio, AI Search, Azure Machine Learning.

• Data & Integration:
  Data Lake Storage, Synapse/Fabric, Data Factory, Event Hub, API Management.

• Compute & Hosting: AKS, Azure Functions, App Service;
  IaC with Bicep/ARM/Terraform.

• Dev Ops/MLOps:
  Azure Dev Ops or Git Hub Actions, MLflow integration, telemetry dashboards.

• Languages:
  
  Python (required), plus C#/.NET or Type Script/Node;
  Lang Chain or Semantic Kernel preferred.

• 7+ years in software/ML engineering, with 3+ years delivering production AI solutions on Azure.

• Proven track record of shipped solutions with architecture diagrams and runbooks.

• Expertise in RAG system design, prompt engineering, and performance optimization.

• Strong data engineering skills and secure integration patterns.

• Applied knowledge of Responsible AI principles and compliance requirements.

• Outcome-oriented with strong problem-solving skills.

• Excellent communication and stakeholder management abilities.

• Collaborative leadership and mentoring capability.

• Adaptability to ambiguity and incremental delivery approaches.

• Experience with Microsoft Fabric and Databricks on Azure.

• Domain experience in financial services.

• Azure AI Engineer Associate certification or equivalent.

Core Tech Stack

• Azure AI & ML:
  Azure OpenAI Service, AI Studio, AI Search, Azure Machine Learning.

• Data & Integration:
  Data Lake Storage, Synapse/Fabric, Data Factory, Event Hub, API Management.

• Compute & Hosting: AKS, Azure Functions, App Service;
  IaC with Bicep/ARM/Terraform.

• Dev Ops/MLOps:
  Azure Dev Ops or Git Hub Actions, MLflow integration, telemetry dashboards.

• Languages:
  
  Python (required), plus C#/.NET or Type Script/Node;
  Lang Chain or Semantic Kernel preferred.

Required Experience

• 7+ years in software/ML engineering, with 3+ years delivering production AI solutions on Azure.

• Proven track record of shipped solutions with architecture diagrams and runbooks.

• Expertise in RAG system design, prompt engineering, and performance optimization.

• Strong data engineering skills and secure integration patterns.

• Applied knowledge of Responsible AI principles and compliance requirements.

Nice-to-Have

• Experience with Microsoft Fabric and Databricks on Azure.

• Domain experience in financial services.

• Azure AI Engineer Associate certification or equivalent.

Qualifications

Degree in Computer Science/Engineering/Math or equivalent industry experience.