In this position, you connect advanced AI capabilities with real-world business strategy. You work closely with clients and prospects to uncover their strategic and operational challenges, translate these into tangible AI and data-driven solutions, and actively contribute to shaping proof-of-concepts and solution blueprints. You are the person who makes complex AI topics understandable and compelling, helping organizations see what is truly possible.

You blend strategic thinking with practical AI and data expertise. From dissecting business problems to contributing to implementations involving Large Language Models, Retrieval-Augmented Generation approaches, and scalable data architectures — you work alongside lead engineers to build meaningful solutions. You then communicate these solutions clearly and persuasively to stakeholders at various levels.

Your role is especially prominent in pre-sales engagements and early-stage discovery phases, where your expertise helps define solution direction and demonstrate value before full-scale implementation begins.

Responsibilities

Client-Focused Solution Design

• Engage with customers and prospects to analyze business challenges and translate them into structured AI and data architecture proposals.

Pre-Sales & Commercial Contribution

• Support sales initiatives by shaping AI-driven solution strategies and providing effort estimations for complex projects.

Hands-On Prototyping & POCs

• Collaborate with senior developers to build prototypes and proof-of-concepts that make abstract AI ideas concrete and demonstrable.

Executive & Stakeholder Communication

• Present AI architectures and solution concepts clearly to clients, simplifying complex technologies and acting as a trusted sparring partner.

AI & Data Architecture Design

• Design scalable AI systems, data pipelines, and integrations involving LLMs, RAG frameworks, vector databases, and analytics environments.

Technology & Market Awareness

• Continuously monitor emerging AI and data trends and translate them into actionable business opportunities.

Internal Knowledge Enablement

• Strengthen AI awareness within the organization through workshops, internal sessions, and knowledge-sharing initiatives.

Thought Leadership & Market Presence

• Leverage your expertise externally through articles, client inspiration sessions, and public speaking engagements.

Discovery & Architectural Guidance

• Contribute to architectural decisions during early project phases, after which implementation ownership transitions to development teams.

Ideal Profile

Client-Oriented Experience

• You are comfortable engaging directly with customers, gathering requirements, and translating business needs into technical architectures.

Strong AI & Data Expertise

• You have hands-on experience with modern AI technologies such as LLMs, RAG patterns, vector databases, machine learning workflows, and cloud-based AI services.

Commercial Acumen

• You feel at ease in pre-sales contexts and can articulate technical concepts convincingly to business stakeholders.

Practical Technical Skills

• You have experience with Python, major cloud platforms (AWS, Azure, or GCP), and data processing frameworks, enabling you to contribute to prototypes and early-stage builds.

Clear & Confident Communicator

• You can explain advanced AI concepts to both technical audiences and executive leadership, and you are a strong presenter.

Continuous Learning Mindset

• You actively follow developments in AI and data and understand how to translate innovation into business value.

Strategic & Tactical Thinking

• You are capable of thinking at architectural level while remaining comfortable contributing hands-on to concrete solutions.

Trusted Advisor Profile

• You inspire confidence, generate enthusiasm around AI opportunities, and guide clients through their digital evolution.

Knowledge-Sharing Attitude

• You enjoy writing, presenting, and sharing expertise, and you are motivated to position yourself as a visible AI thought leader.

Adaptability

• You easily switch between strategic conversations and practical development work, depending on the project phase.