Presales Solutions Architect - ICX Channel in United States at Jobgether

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Presales Solutions Architect - ICX Channel based in the United States.

We are looking for an experienced Presales Solutions Architect to accelerate the adoption of next-generation enterprise AI solutions through a global partner ecosystem. In this strategic, hands-on role, you will empower technology partners to design, position, and deliver innovative solutions combining agentic AI, enterprise data, knowledge graphs, and low-code application development. You will lead technical enablement initiatives, guide complex solution architectures, and collaborate with partners to transform business challenges into impactful AI-driven applications. Working closely with sales, product, and technical teams, you will help shape partner strategies, support customer engagements, and influence product innovation. This is an exciting opportunity to work at the forefront of enterprise AI, helping major organizations across multiple industries move from experimental AI initiatives to scalable, production-ready solutions. The position is remote within the United States, with expected travel of up to 25%, potentially including additional onsite partner and customer engagements.

• Partner Enablement and Technical Leadership: Lead ongoing technical enablement initiatives for channel partners, strengthening their expertise in enterprise AI platforms, knowledge graphs, ontologies, machine learning, and agentic AI technologies.
• Technical Training and Workshops: Design and deliver technical workshops, architecture sessions, demonstrations, and training programs tailored to partner needs, covering enterprise AI capabilities, low-code development, Generative AI, and agentic application development.
• Advanced AI Architecture Guidance: Educate partners on modern AI architecture patterns, including agentic AI, Retrieval-Augmented Generation (RAG), knowledge graphs, enterprise ontology modeling, and AI governance best practices.
• Solution Architecture and Consulting: Collaborate with partners to design and architect innovative, business-focused enterprise AI solutions that combine platform capabilities, low-code applications, AI services, and enterprise data.
• Customer Engagement Support: Provide technical consultation throughout partner-led customer engagements, from initial discovery and opportunity qualification through solution design, implementation, and adoption.
• Enterprise AI Solution Development: Guide partners in modeling customer business domains through enterprise ontologies, developing intelligent agents and machine learning capabilities, and creating functional AI-powered applications that deliver measurable business value.
• Technical Demonstrations and Proofs of Concept: Work directly with partners to build compelling technical demonstrations and proof-of-concept solutions tailored to specific customer requirements and industry use cases.
• Integration, Security, and Governance: Demonstrate best practices for application governance, scalability, security, and lifecycle management, ensuring solutions integrate effectively with existing enterprise applications, APIs, databases, and cloud environments.
• Technical Problem-Solving: Address complex technical questions, customer concerns, and competitive objections by providing clear, credible, and tailored architectural recommendations.
• Channel Strategy and Ecosystem Development: Build trusted relationships with partners and act as a strategic technical advisor, contributing to partner success, ecosystem expansion, and increased adoption of enterprise AI solutions.
• Cross-Functional Collaboration: Work closely with sales organizations, product teams, and global leadership to improve partner engagement models and develop scalable channel strategies.
• Product Roadmap Contributions: Gather and communicate partner feedback, customer requirements, and market insights to influence product development priorities and future platform capabilities.
• Technical Mentorship: Coach and mentor partner-facing technical teams, helping develop their capabilities and establish high standards for AI solution architecture and delivery.

• Significant professional experience in technical consulting, presales solution architecture, enterprise AI, data and analytics, or a related technology-focused discipline.
• Proven experience leading, coaching, mentoring, and developing technical teams, ideally within a channel, partner-facing, or consulting environment.
• Strong hands-on expertise in agentic AI and enterprise AI solution development, including Large Language Models (LLMs), retrieval techniques, tool use, and Model Context Protocol (MCP).
• Experience designing intelligent agents and AI applications grounded in enterprise data and business context.
• Familiarity with agentic development tools such as Claude Code, Cursor, and GitHub Copilot is highly valued.
• Strong expertise in enterprise ontology modeling and knowledge graphs, including the ability to represent complex business domains and apply these models to real-world enterprise use cases.
• Experience with modern data and AI platforms such as Databricks, Snowflake, Microsoft Fabric, Google Cloud, AWS data lakes, Palantir, or C3.ai.
• Knowledge of Mendix or comparable low-code application development platforms, including application architecture, development, consulting, and integration with AI services and enterprise processes.
• Strong understanding of data engineering and analytics, particularly how enterprise data is distributed across multiple systems, integrated, structured, and modeled for AI applications.
• Demonstrated experience leading complex technical consulting engagements and delivery teams, taking AI, data, and analytics initiatives from initial concepts through successful implementation.
• Ability to communicate complex technical concepts and translate them into compelling business value propositions for both technical and non-technical audiences.
• Strong executive presence and confidence leading strategic discussions, architecture workshops, and technical working sessions with senior stakeholders, business leaders, and partner organizations.
• Experience developing and managing strategic partner relationships, enabling channel ecosystems, or supporting indirect sales and go-to-market strategies.
• Entrepreneurial mindset, initiative, and adaptability, with the ability to operate effectively in fast-paced environments and navigate complex, evolving business challenges.
• Excellent communication, collaboration, leadership, and problem-solving skills, with a strong commitment to knowledge sharing and partner development.
• Industry experience in manufacturing, engineering, supply chain, pharmaceuticals, aerospace, financial services, or other complex enterprise environments is a significant advantage.
• Willingness to travel up to approximately 25%, with potential for additional onsite engagement depending on partner and customer requirements.

• Annual salary: $125,300–$250,600, depending on work location, relevant experience, technical expertise, qualifications, and education.
• Comprehensive employee benefits package.
• Opportunity to work remotely within the United States.
• Work at the forefront of enterprise AI, agentic applications, knowledge graphs, and intelligent automation.
• Play a strategic role in bringing innovative industrial AI solutions to global markets through an expanding partner ecosystem.
• Directly influence partner enablement strategies and contribute to the growth and adoption of next-generation AI technologies.
• Opportunities to shape product direction and influence future development through direct feedback from partners and customers.
• Collaborate with international teams, leading technology partners, and major enterprise customers across multiple industries.
• Work on complex, high-impact business challenges involving enterprise data, AI architecture, and digital transformation.
• Professional growth opportunities through exposure to emerging technologies, strategic consulting, and global enterprise projects.
• Opportunity to develop technical leadership capabilities and build a strong professional network within the enterprise AI ecosystem.