VP of Engineering - Cloud, AI, and Microservices. (London)

We are seeking a
Hands-on Director/ VP of Engineering
to lead our engineering teams, manage client relationships, and ensure successful project delivery with a focus on cloud, AI, and Microservices. Reporting to the SVP of Engineering, the ideal candidate would have 15+ years of experience, with the last 5 years in a senior engineering role for a tech consultancy or a product development company.
Key Responsibilities:Client-Facing Leadership:Lead engineering teams in executing client projects, ensuring high quality, timely delivery.Act as the primary technical point of contact for clients, managing expectations and ensuring solutions align withbusiness needs.Guide clients through technical decisions, helping them adopt modern architectures, cloud platforms (AWS, Azure), andAI-driven solutions.Technical Leadership:Provide hands-on leadership in system design, development, and deployment, particularly with
cloud-based systems
,
Microservices
, and
AI integrations
.Oversee
LLM (Large Model) integration
, leveraging models like GPT, and implement advanced AIarchitectures such as
Retrieval-Augmented (RAG)
and
Reinforcement Learning with HumanFeedback (RLHF)
.Lead the development of applications using
React,
.NET
,
Python
, or
Node.js
, ensuring scalable, maintainable, andperformant solutions.Team Management:Manage and mentor engineering managers, leads, and developers, fostering a culture of excellence and continuous learning.Ensure the team adheres to best practices in coding, architecture, testing, and deployment.Project Delivery and Client Satisfaction:Ensure client projects meet deadlines, scope, and quality standards while managing resources effectively.Resolve technical challenges and proactively address issues that may impact delivery.Maintain strong client relationships through regular communication and feedback loops.Required Skills and Qualifications:Technical Expertise:Extensive experience in
.NET
(C#),
Python
(Django, Flask), or
Node.js
(Express.js), with hands-on experience buildingbackend systems and APIs with experience on
React
for front-end development.Deep knowledge of
cloud technologies
(AWS, Azure) and experience deploying
cloud- applications
and
Microservices architectures
.Strong background in
AI integration
, specifically
LLM
technologies
,
RAG
, and
RLHF
architectures, and the ability to apply these in client-facing solutions.Solid understanding of
system design principles
, including scalability, high availability, performance and security.Leadership andamp; Client Engagement:Proven experience managing engineering teams and leading client engagements, balancing technical leadership withclient-facing responsibilities.Strong communication skills, capable of translating complex technical concepts for non-technical stakeholders.Ability to prioritize and manage multiple projects in a fast-paced, client-driven environment.BH-RH5666Bounty Hunter World#J-18808-Ljbffr
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