Artificial Intelligence Engineer
Purview is a global leader in IT Engineering and Talent Solutions, trusted by Fortune 500 and mid-market clients across 21+ countries. Headquartered in Edinburgh, with delivery centres in India, our 1,200+ professionals drive meaningful digital transformation worldwide.
As a certified Ethnic Minority Business and Premier Member of MSDUK, we proudly blend diversity with deep technical expertise to deliver results that matter
We’re currently hiring for the below role with one of our valued clients. If it aligns with your experience and aspirations, we’d love to hear from yo
Job Details:
Role Title: Senior AI Platform Engineering Lead
Locati on: London, UK
Employme nt: Contract
Place of Wo rk: Hybrid - 2 days
Experience Requir ed: 8+ Years
Job Description:
- We are looking for an experienced AI Platform Engineering Lead to design, build, and operationalise an enterprise Agentic AI Harness that enables end-to-end SDLC automation across .NET and Azure environments.
- The AI Engineer will be responsible for designing and implementing an agentic SDLC harness capable of supporting the full software delivery lifecycle.
AI and Agentic Engineering
- Experience building AI agents, multi-agent workflows, or agentic orchestration systems.
- Prompt engineering, tool calling, structured outputs, agent memory, planning, routing, and evaluation patterns.
- Experience integrating LLMs with enterprise systems, repositories, APIs, and development workflows.
- Understanding of AI observability, tracing, evaluation, guardrails, and feedback loops.
- Awareness of frameworks such as Microsoft Agentic Framework, ADK, LangGraph, LangChain or LangFuse, will be beneficial but not mandatory.
Software Engineering
- Strong experience with .NET / C#.
- Experience building APIs, services, backend systems, and cloud-native applications.
- Good understanding of software architecture, clean code principles, design patterns, secure coding practices, and Test-Driven Development (TDD) methodologies.
- Experience with unit testing, integration testing, functional testing, and automated test execution.
- Familiarity with test frameworks and automated testing tools used within the .NET ecosystem.
Responsibilities:
- Design and build an AI Agentic Harness that orchestrates multiple AI agents across the SDLC.
- Integrate the harness with development tools such as GitHub Copilot, GitHub, Azure DevOps, and CI/CD platforms.
- Build agents that can generate:
o Business and technical specifications
o Epics, features, and user stories
o Acceptance criteria
o Design decisions and architecture decision records
o Engineering tasks and implementation plans
o Test cases and test plans
o .NET application code
o Infrastructure-as-Code templates
o CI/CD pipeline templates
o Deployment documentation
- Execute the harness to generate working .NET / C# code.
- Build validation loops to review generated outputs for correctness, security, quality, and maintainability.
- Create test automation capabilities that generate and execute tests against produced code.
- Implement mechanisms for code review, quality checks, static analysis, and automated feedback.
- Ensure generated applications are deployable into Azure environments.
- Create reusable patterns, templates, prompts, workflows, and agent configurations.
- Implement observability and traceability for agent decisions, tool usage, prompts, responses, and generated artifacts.
- Work with architects, engineers, product owners, and platform teams to align the harness with enterprise engineering standards.
- Contribute to security, compliance, and governance controls around AI-generated software delivery.
- Continuously improve the harness based on output quality, developer feedback, and delivery outcomes.
Interested candidates please connect with us to get more details https://www.linkedin.com/in/roarofravirompicherla