# Applied Ai Engineer

**Company**: AECOM
**Location**: Manchester, LEVEL 4
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: full-time
**Category**: Engineering
**Industry**: Consulting

**Apply**: https://jobs.smartrecruiters.com/AECOM2/744000161439479-applied-ai-engineer?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/job/applied-ai-engineer-3277e7f2-71e/

## Description

AECOM is seeking an Applied AI Engineer to join their Applied AI team, contributing to transformative AI-enabled delivery across clients' projects. The role involves designing, building, and scaling practical AI solutions that unlock measurable business value across infrastructure, environmental, and urban development sectors.

Key Responsibilities:

- Design, build, and deploy AI-enabled solutions addressing real client and project problems.

- Deploy and operate AI solutions on Microsoft Azure, including model hosting, search and retrieval services, serverless and container compute, secrets management, identity and private networking.

- Develop agentic and multi-step workflows, integrating AI with client data and systems.

- Build and maintain Model Context Protocol (MCP) servers and tool interfaces.

- Integrate diverse data sources into reliable, tested pipelines.

- Host, configure, and optimise local and private large language models for clients.

- Build retrieval-augmented generation and document-intelligence pipelines.

- Optimise token usage, latency, and cost through model selection, prompt caching, batching, and incremental processing.

- Establish evaluation, testing, and monitoring practices for AI solutions.

- Design data models, dashboards, and reports presenting AI outputs clearly.

- Apply security, data protection, and responsible AI practices.

- Turn successful solutions into reusable, configurable components.

- Document work through specifications, implementation plans, and post-delivery reviews.

- Support bids and proposals by shaping AI solutions to client requirements.

- Mentor colleagues and support AI training programmes.

- Present work outputs to technical and non-technical audiences.

Qualifications:

- Minimum 3-5+ years of experience in software engineering, data engineering, or applied machine learning.

- Strong proficiency in Python and SQL, with experience building APIs, data pipelines, and automated tests.

- Experience developing LLM applications with tool use, structured outputs, retrieval-augmented generation, agent orchestration, and prompt design.

- Understanding of Microsoft Azure and experience deploying AI solutions on it.

- Proven ability to influence non-technical stakeholders and communicate complex concepts clearly.

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## Skills

### Required
- Python
- SQL
- Microsoft Azure
- LLM applications
- data integration
- AI solution deployment

### Nice to have
- Model Context Protocol
- multi-agent frameworks
- evaluation harnesses
- LLM observability tooling
- Computer Science
- Software Engineering
- Data Science

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Source: [Apply at jobs.smartrecruiters.com](https://jobs.smartrecruiters.com/AECOM2/744000161439479-applied-ai-engineer?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)