AI Forward Deployable Solutions Architect with Azure

Position Summary

We are establishing a Microsoft Rapid AI Service; the goal is to drive adoption within Small/Medium sized customers of Microsoft AI solutions and services. The role of the Forward Deployed Engineer (FDE) will work closely with our most strategic customers to deeply understand their use cases and design, build, and implement products for them. As one of our FDEs, you will deploy these solutions on the latest Azure cloud services.

Forward Deployed AI Engineers’ responsibilities look like those of a hands-on AI startup CTO: you’ll work in small teams to own delivery of high stakes projects with clients. A day’s work may include building LLM workflows on a large scale, interacting with customers to understand their needs and set their AI strategy, but the most impact will be driven by implementing solutions into the real world of our partner's organizations.

We are looking for customer-focused architect / engineers to build effective custom software that leverages leading AI models and technology to solve real customer problems. As an FDE you will partner directly with customers to conceptualize, design, and implement cutting-edge AI solutions. This role focuses on leveraging generative AI models, agentic systems, and iterative prototyping to build impactful proofs of concept (PoCs) that address unique business challenges. The FDE acts as a bridge between advanced AI technologies and practical enterprise applications, ensuring that solutions are both innovative and actionable.

You will collaborate closely with Sales, Solutions Engineering, Solutions Architects, and Customer Success Managers who work on the same account. You will also be self-driven to learn about the AI market and bring forward that knowledge to improve the way in which we deliver to customers.

Primary Duties / Responsibilities

Customer Engagement:

Collaborate deeply with clients to understand their strategic objectives, technical requirements, and operational constraints.
Serve as a trusted advisor for AI strategy, guiding clients through the process of ideating and implementing generative and agentic AI solutions.
Facilitate workshops and brainstorming sessions to identify high-value use cases for AI technologies.

AI Solution Development:

Design, prototype, and deploy AI-powered PoCs using generative models (e.g., GPT, DALL-E) and agentic systems tailored to specific client needs.
Build end-to-end pipelines for deploying AI solutions on client infrastructure, ensuring scalability, security, and performance.
Experiment with cutting-edge methods in natural language processing (NLP), computer vision, reinforcement learning, and multi-agent systems to deliver innovative solutions.

Iterative Prototyping:

Use an experiment-driven approach to rapidly test hypotheses and refine prototypes in collaboration with client teams.
Develop reusable frameworks and tools to accelerate the deployment of generative AI solutions across diverse industries.

Cross-Functional Collaboration:

Work closely with Sales, Applied Research, Product Development, and Customer Success teams to ensure seamless project execution.
Provide actionable feedback from customer engagements to inform the development of new AI capabilities.

Knowledge Sharing:

Document best practices and lessons learned from client projects to contribute to internal knowledge bases. Mentor junior engineers on the application of generative and agentic AI technologies in real-world scenarios.

Qualifications and Requirements

Technical Expertise:

Proficiency in programming languages such as Python or JavaScript and Javascript frameworks.
Hands-on experience with generative AI models (e.g., GPT-4/5), agentic systems, or reinforcement learning frameworks.
Familiarity with Azure cloud platform, including deploying services, working with Azure Foundry and its services.

Problem-Solving Ability:

Proven ability to translate abstract business challenges into concrete technical solutions using generative AI.
Strong analytical skills to evaluate model performance and optimize for specific use cases.

Client-Facing Skills:

Exceptional communication skills for explaining complex AI concepts to diverse stakeholders.
Ability to build trust-based relationships with clients and navigate ambiguous problem domains collaboratively.

Adaptability:

Flexibility to work across industries such as healthcare, finance, defense, or retail while tailoring solutions to each domain.
Willingness to travel or work on-site with clients as required.

BENEFITS

Opportunities for certification and training
Internal referral bonus up to EUR 1.000
English courses
Gym allowance
Medical Reimbursement
Full salary covered up to 20 days of sickness
Flexible working hours
Loyalty scheme
Team building activities, special events and conferences
UK/EU Travel opportunities
Snacks and drinks in the office.

This role is ideal for those who thrive at the intersection of technology innovation and customer engagement. As an FDE specializing in generative AI methods, you will have the opportunity to shape the future of enterprise AI adoption while solving some of the most complex challenges faced by leading organizations.