Forward Deployed Engineer

VirtueTech Recruitment Group; Greater London; Hybrid; GBP 117,000 - 143,000; Full time

Benefits offered by this job

Bonus

Benefits package

Job summary

VirtueTech Recruitment Group is representing an Asset Management Giant in London seeking a senior, hands-on AI engineering leader. The role requires deep expertise in deploying AI at scale within a regulated financial services setting, with strong business stakeholder engagement and a track record of delivering practical AI use cases.

You will sit with the CTO to architect and execute an enterprise AI strategy, prioritise initiatives across multiple teams, and shape AI engineering teams while

Qualifications

• Senior AI engineering experience within financial services environment.
• Excellent understanding of wide-scale AI deployment and governance.
• Hands-on engineering background with strong Python experience.
• Experience with LLMs, Generative AI, and autonomous AI agents.
• Ability to translate AI concepts for senior business stakeholders.

Responsibilities

• Lead the AI function and establish technical direction.
• Work directly with the CTO and business units to identify AI value.
• Oversee end-to-end AI development and prioritisation across teams.
• Ensure governance, security and compliance in AI initiatives.

Skills

Senior AI Engineer

Python

AI governance

LLMs

Generative AI

Stakeholder comms

Financial services

Hands-on engineering

Job description

An experienced AI exposed engineer is needed for an established Asset Management giant who are at the beginning of a major enterprise wide AI journey.

It does not matter if you were an AI Architect, Forward Deployed Engineer or AI Engineering Lead, as long as you can showcase understanding of AI systems and how they are deployed on a wider scale especially from a leadership perspective as this is a greenfield AI leadership role.

The business has already invested in AI and currently has teams across the group working on multiple parts of AI assisted development, however, what they currently require is someone who can come in with financial services knowledge to sit with the CTO and understand how to put it all together.

The key question for this hire is: “How do we use AI across the enterprise and, more importantly, how do we actually execute it?”

Despite the role requiring heavy business and stakeholder communication, it is still requiring someone who has an engineering background so they can understand the whole end to end process of development, what should be prioritised by different teams across the group and also what parts of the business can benefit from the AI.

This is why the successful person needs to be senior, whilst still being highly technical and hands-on.

You will have the opportunity to lead the AI function, establish the technical direction and work directly with the business to identify where AI can deliver genuine value.

What Experience Matters:

• AI + Compliance - This is a highly regulated Financial Services environment, so understanding how to deploy AI responsibly will be critical. The company already has an internal AI policy which you will need to work within. You therefore need to understand not simply what AI can do, but how AI can be implemented within a regulated enterprise environment where security, compliance, data governance and confidentiality are fundamental.
• Financial Services exposure is a must have
• Engineering experience - can be from any sort of engineering background but it is probably expected that Python might feature more

What They Need:

• Senior AI Engineering experience within a financial services environment
• Strong hands-on engineering capability - despite being strategic, you need to understand how engineering works
• Experience with LLMs, Generative AI and/or autonomous AI agents
• Experience integrating AI with enterprise data and business systems
• Experience identifying and delivering practical AI use cases
• Ability to explain complex AI concepts to senior business stakeholders
• Experience building or shaping AI engineering teams
• Strong understanding of AI governance, data security and compliance
• A track record of solving genuine business problems through AI

Package:

Permanent: Up to £130k + Bonus + Benefits

Hybrid: 3 Days a Week Hybrid, London