Specialist Solution Architect, AI - Ecosystem at Jobgether

, , Germany -

Full Time

Start Date

Immediate

Expiry Date

14 Sep, 26

Salary

0.0

Posted On

16 Jun, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Artificial Intelligence, Machine Learning, MLOps, LLMOps, Python, TensorFlow, PyTorch, RAG, Natural Language Processing, Deep Learning, Computer Vision, Predictive Analytics, Solution Architecture, Pre-sales Consulting, CI/CD, Stakeholder Management

Industry

Internet Marketplace Platforms

Description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Specialist Solution Architect, AI - Ecosystem based in Germany. As a Specialist Solution Architect focused on AI, you will play a key role in helping technology partners adopt, implement, and scale cutting-edge AI solutions across diverse industries. This position combines technical expertise, pre-sales consulting, and ecosystem enablement, allowing you to influence AI strategy from evaluation through deployment. Working closely with partner organizations, data scientists, developers, architects, and business leaders, you will guide the design of innovative AI architectures, support proof-of-concepts, and drive successful adoption of open-source AI technologies. You will collaborate with global technical communities and engineering teams while contributing to the evolution of AI solutions and best practices. This is an exciting opportunity for an AI professional who enjoys combining hands-on technical work with customer engagement, thought leadership, and ecosystem development in a flexible, remote-first environment. \n Accountabilities Deliver technical presentations, demonstrations, workshops, and solution deep dives to partners and stakeholders, showcasing AI capabilities and business value. Support pre-sales activities by contributing to technical proposals, architecture designs, RFIs, RFPs, and other solution-related documentation. Collaborate with partner solution architects, account teams, and technical stakeholders to identify challenges, remove adoption barriers, and accelerate AI initiatives. Design, architect, and guide the implementation of AI solutions, including machine learning pipelines, data architectures, model training environments, and deployment frameworks. Support proof-of-concept projects, technical evaluations, hackathons, workshops, and innovation initiatives that demonstrate solution value and feasibility. Drive ecosystem adoption by enabling partners to develop industry-specific AI use cases and scalable customer solutions. Act as a trusted technical advisor, helping align AI strategies, business goals, and technology roadmaps across stakeholder groups. Collaborate closely with product management, engineering, and technical teams to provide market feedback and contribute to product evolution. Create reusable technical assets, best-practice documentation, templates, and enablement materials that support scalable partner success. Mentor less-experienced team members and contribute to knowledge sharing across the broader technical community. Participate in industry events, conferences, community initiatives, public speaking engagements, and thought leadership activities. Requirements Hands-on experience in artificial intelligence, machine learning, data science, MLOps, LLMOps, or related technical domains. Practical experience developing AI applications, including areas such as large language models (LLMs), retrieval-augmented generation (RAG), natural language processing, deep learning, computer vision, or predictive analytics. Strong proficiency in Python or other statistical programming languages used for machine learning and AI development. Experience working with leading open-source AI and machine learning frameworks such as TensorFlow, PyTorch, or similar technologies. Knowledge of AI system architecture, data pipelines, machine learning pipelines, model training, deployment, monitoring, and operationalization. Familiarity with DevOps, CI/CD practices, Infrastructure as Code (IaC), automation tools, and cloud-native environments. Strong communication and presentation skills with the ability to explain complex technical concepts to both technical and business audiences. Experience leading workshops, technical demonstrations, architecture reviews, or customer-facing technical discussions. Ability to quickly learn new technologies and adapt to evolving AI trends and industry requirements. Strong collaboration, stakeholder management, and problem-solving skills. Comfortable working in a remote and highly collaborative international environment. Preferred Qualifications: Degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related field. Previous experience in technical pre-sales, sales engineering, solution architecture, consulting, or implementation roles within enterprise software, SaaS, or systems integration environments. Experience implementing AI solutions for enterprise customers. Knowledge of MLOps, LLMOps, AI governance, and scalable production AI systems. Industry expertise in sectors such as financial services, healthcare, defense, intelligence, or other data-intensive industries. Active involvement in open-source communities, AI user groups, technical forums, or community-driven technology initiatives. Experience contributing technical content through presentations, blogs, publications, or community events. Benefits Competitive compensation package. Flexible and remote-first working environment. Opportunities for continuous learning, certification, and professional development. Access to cutting-edge AI technologies, tools, and industry-leading technical communities. Collaborative and inclusive workplace culture. Exposure to global projects, international teams, and diverse industry challenges. Career growth opportunities within a highly innovative technology environment. Flexible work arrangements designed to support work-life balance. Mentorship and knowledge-sharing opportunities with experienced AI specialists and engineering teams. Participation in conferences, workshops, and community engagement initiatives. \n How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1

Responsibilities

The role involves designing and implementing AI architectures and machine learning pipelines to help technology partners scale AI solutions. It combines technical leadership with pre-sales consulting, including delivering demonstrations and supporting proof-of-concept projects.