• Lead AI solutioning for external client opportunities, including discovery, technical scoping, architecture, and delivery planning. • Translate complex business problems into practical AI solutions that can be built, implemented, and supported. • Partner with consultants, subject matter experts, and client stakeholders to shape high-value AI use cases. • Support proposals, pursuits, demonstrations, and executive-level client conversations. • Set architecture standards for AI solutions across client-facing and internal work. • Guide solution design across LLM applications, RAG pipelines, agentic workflows, data pipelines, integrations, analytics, and model/tool selection. • Establish reusable design patterns, components, templates, and accelerators. • Ensure solutions are scalable, secure, maintainable, and aligned with client needs. • Own quality standards for AI delivery across client engagements and internal builds. • Review technical designs, delivery plans, implementation risks, and production-readiness considerations. • Help teams move from prototype to production-ready AI solutions. • Partner with internal operations and governance leaders to ensure delivery aligns with policies, data handling requirements, and stakeholder expectations. • Mentor AI Solutions Architects, Data Engineers, Data Scientists, and other technical builders. • Help define the AI builder talent model, including role expectations, growth paths, and delivery standards. • Provide technical coaching to teams working across internal MGT priorities and external client projects. • Build a culture of practical shipping, strong documentation, reusable delivery patterns, and delivery accountability. • Support internal AI product development where architecture, data, or delivery expertise is needed. • Contribute to MGT’s AI tool suite, accelerators, methods, and implementation playbooks. • Identify repeatable solutions that can be packaged across clients or internal use cases. • Partner with the VP, AI Strategy & Operations on portfolio visibility, resourcing, and delivery readiness.

• Build, refine, and own technical quality of TechInsights' proprietary Compute AI model, synthesizing teardown, reverse-engineering, costing, and market intelligence data • Maintain end-to-end market model for SoC processors and AI accelerators, covering market share, forecasts, bottom-up analysis by player/product, Silicon IP, design supply-chain, foundry/wafer demand, AI xPU performance, power demand, and token economics, extending into fabless, foundry, OEM, and hyperscaler segments • Apply problem-solving and AI-enabled tools to accelerate modeling of AI silicon, packaging, and system-level cost/performance trends • Document and evolve modeling methodology to scale across the Compute/AI practice • Research, write, and publish senior-level technical analysis on the model's insights and supply chain implications • Partner with other analysts across the Market Intelligence organization, serving as a technical resource and mentor (including for the team's AI Market Intelligence Analyst) • Contribute to the team's Innovation & R&D agenda and represent modeling capability in internal forums and cross-functional planning • Present model findings to clients and executives, translating complex output into clear narratives for non-technical audiences • Support select high-value client engagements as a subject matter expert (routine inquiries/sales support owned by junior coverage)

Role Description Als Chatmoderator arbeiten Sie mit diversen Kunden zusammen und müssen diese in Gesprächen halten, denn danach werden Sie bezahlt. Dabei geht es um: - Kreativität - Schnelligkeit - Teamarbeit Eine zuverlässige Arbeitsweise ist somit unabdingbar. Qualifications - Ob Neuling, Quereinsteiger oder alter Hase, jeder kann sich bewerben. - Nach der Absolvierung der Schulungen sofort starten. Benefits - Es gibt kaum eine Agentur, die länger dabei ist als wir. - Wir sind eine einzigartige Agentur, wo man sich mit gutem Gewissen niederlassen kann. Company Description Wir sind seit über 22 Jahren eines der führenden Agenturen hier auf dem Markt. Ein herzliches Miteinander wird bei uns noch groß geschrieben.

Role Description Wanted a Technical Co-Founder (AI / Software / Platform Architecture) from Estonia for the development of an open-source-based AI and data infrastructure company. What it's about: - Not just another tool – but a new system logic for data, processes and AI. - The market currently has a clear gap: - CO₂ logic, ESG and operational data are usually considered in isolation. - One is missing Integrated infrastructure for traceability and process intelligence. Core Idea: - A modular, open-source system with three levels: - Core-System: - Data and process logic - Structured documentation and linking systems - Digital twin of organizations - Integration layer: - Integration of ERP systems - Adapter instead of system replacement - Application layer: - ESG / CO₂ / Governance / Projects - Industry and organizational solutions Tasks: - Co-design and build the overall technical architecture (core system, integrations, application layer) - Develop and integrate AI components (LLMs, semantic search, analytics) - Design and implement a modular, container-based platform (Docker, API-first approach) - Connect existing systems (e.g. ERP, data sources) via adapter logic - Contribute to product strategy and technical roadmap - Select and establish a sustainable open-source technology stack - Actively support the development of a strong network within the Estonian startup ecosystem (tech community, partners, programs) - Collaborate with funding bodies, programs, and relevant stakeholders in Estonia Qualifications - Experience in software development (ideally Python / backend / APIs) - Knowledge of AI / machine learning / LLM integration - Experience with container technologies and system architecture - Strong understanding of data structures, data models, and distributed systems - Interest in open-source ecosystems and privacy-focused solutions - Ability to structure and implement technical concepts independently - Entrepreneurial mindset and interest in a co-founder role - Strong networking mindset – ideally with exposure to startup ecosystems (experience in Estonia is a plus) Benefits - Co-founder equity with long-term perspective - Opportunity to build a proprietary product with a clear IP strategy - Work on foundational infrastructure (not just feature development) - High degree of freedom in technology, architecture, and product decisions - Access to structured funding programs (Estonia / EU) - Direct access to the Estonian startup ecosystem and opportunity to build a strong network - Opportunity to shape key partnerships and structures from an early stage - Focus on sustainable, privacy-centric, and future-proof systems Vision - Building a scalable ecosystem for: - ESG & CO₂ transparency - Digital Governance & Controlling - Knowledge and decision-making platforms - Cooperatives & Network Models Interest? Short message containing: - Technical background - Project experience - Motivation LinkedIn Profile