Solutions Architect - Applied AI
Solutions Architect - Applied AI
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Job Description
About Mesh-AI
Were a transformation consultancy and we exist to reimagine how enterprises operate making data and AI their competitive advantage. We turn enterprises into data-driven and AI enabled organisations unleashing business growth and accelerating outcomes.
Were building an open collaborative culture and we are always on the lookout for top talent to join us in our next phase of growth. If youre interested in working on business-defining engagements with some of the brightest minds in the industry apply below!
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 organisation with huge opportunity for career growth
- Highly competitive salary package along with company bonus
- A hugely collaborative working environment where every persons viewpoint is considered - a chance to make your mark on the business from day one!
- Financially backed business meaning 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 Otherwise apply here.
Employment Type
Full Time
