Forward-Deployed AI Engineer for Enterprise Solutions

IFS; Staines-upon-Thames; On-site; GBP 90,000 - 130,000; Full time

Job summary

IFS is seeking a Forward Deployed Engineer to bring AI into real business operations. The role sits between engineering, consulting and business change, delivering production AI solutions for the M&A group and integrated with existing systems.

You will prototype quickly, connect to systems, and scale implementations with governance and security in mind, collaborating with stakeholders to define value and outcomes.

Qualifications

• In-depth expertise in AI/software engineering with data, cloud and security context.
• Experience shipping at least one production system and measuring its impact.
• Experience building an LLM application used by real users.
• Experience with API integrations between AI platforms and enterprise systems.
• Python backend (FastAPI or similar), React/TypeScript, SQL, one cloud (Azure preferred), IaC and CI/CD.
• Ability to work independently on non-routine problems and communicate clearly.

Responsibilities

• Deliver AI projects from discovery through design, build, deployment, verification, training and support.
• Collaborate with business and technical stakeholders to identify AI use cases.
• Build integrations connecting AI platforms to apps, APIs and data sources.
• Ship AI features with tested outputs and documented models.
• Train users and support adoption; measure results against objectives.
• Provide guidance to junior colleagues.
• Take solutions from prototype to production and run them.
• Report progress and trade-offs to stakeholders.

Skills

AI software engineering

LLM application development

API integrations

Python backend

React/TypeScript

Cloud (Azure)

CI/CD

Data governance

Forward deployment

Education

Bachelor's degree in Computer Science or related field

Tools

FastAPI

Databricks

Azure

React/TypeScript

CI/CD pipelines

Job description

IFS is seeking a Forward Deployed Engineer to bring AI into real business operations. The role sits between engineering, consulting and business change, delivering production AI solutions for the M&A group and integrated with existing systems.

You will prototype quickly, connect to systems, and scale implementations with governance and security in mind, collaborating with stakeholders to define value and outcomes.