Solutions Architect

Overview Were seeking a technically deep yet customer-facing Solutions Architect with pre-sales experience and technical depth in Applied AI (LLMs agentic applications). You will lead first-touch client engagements, build trusted relationships with partners like OpenAI and Anthropic, deliver customer workshops and prototypes, and provide thought leadership through industry events. Responsibilities Act as the primary technical advisor in pre-sales: manage customer discovery requirements, evaluation frameworks, and solution delivery — guiding from ideation through integration and deployment. Design and architect scalable LLM-based solutions integrated into enterprise tech stacks — aligning business and technical needs. Prototype, workshop and run customer events (technical deep-dives, workshops, demos). Build and maintain strong partnerships with OpenAI, Anthropic, AWS, and others. Coordinate with internal teams and external contacts to drive joint strategic initiatives. Deliver engaging talks and demos at industry and customer events to showcase capabilities and thought leadership around LLM and applied AI solutions. Required Skills & Experience 5 years in customer-facing pre-sales or solutions architecture roles (e.g., Sales Engineer, Technical Account Manager). Demonstrated experience with Applied AI, particularly LLMs and/or agentic systems — prototyping and deploying in customer environments. Experience designing scalable cloud architectures and integrating with enterprise systems. Strong technical credentials with Applied AI / LLMs. Experience with agentic frameworks (e.g., OpenAI Agent SDK, LangChain, CrewAI). Familiarity with tracing and observability tools for debugging/evaluating agentic workloads. Understanding of MLOps practices. Hands-on experience with AI-assisted software development tools (e.g., Claude Code, GitHub Copilot, Gemini CLI) — able to demo, evaluate, and advise customers on adoption. Excellent communication and presentation skills: able to translate complex AI concepts across engineering teams and executive audiences. Comfortable in workshop/facilitation including at customer sites or virtual settings and representing Mesh-AI at public forums. Strong relationship-building skills: able to manage partnerships and stakeholder alignment across internal teams and external platforms. Self-driven, proactive, and adaptable in fast-paced environments with the ability to deal with ambiguity. Nice to Have Experience speaking at industry events, hackathons, or running developer workshops. Proven track record of deploying agentic / LLM applications into production in enterprise environments including: Integration with enterprise data and platforms Security, compliance and monitoring at scale Use of LLM brokers, evaluation harnesses, and optimisation loops for production workloads Exposure to emerging autonomous coding/agentic developer tools (e.g., Devin SWE-agent) and an informed view on their maturity limitations and enterprise use cases. Why Mesh-AI Fast-growing start-up with huge opportunity for career growth Highly competitive salary package along with company bonus A hugely collaborative working environment where every person’s viewpoint is considered — a chance to make your mark on the business from day one Financially backed business providing security and support for new initiatives and global market expansion Pick your own Gear Macbooks, PCs, Accessories Drive your development with a personal learning budget Want to know more? Get in touch with us or apply here. Key Skills Organizational Management, Presentation Skills, Agile, SAFe, AWS, Solution Architecture, Conflict Management, Data Management, Scrum, Team Management, Pre-sales, Management Consulting Employment Details Employment Type: Full Time Experience: years Vacancy: 1 #J-18808-Ljbffr