Stax - Deep Tech Talent

Design and implement AI-driven enterprise solutions while acting as a technical strategist embedded with customers. | 7+ years in solution architecture or technical consulting with hands-on cloud platform experience and strong communication skills. | Lead Forward Deployed Engineer - (Customer) – Applied AI 📍 Austin, Texas (Hybrid – 3 days in office) 🤖 AI Platforms | Enterprise Architecture | Customer-Facing Engineering Represented by Stax – DeepTech & AI Talent Partner Stax is partnering with a fast-scaling AI-native software company building a platform designed to transform how organisations connect product, engineering, support, and customer operations. Their platform unifies structured and unstructured data into a single AI-ready system, enabling intelligent search, automation, and AI-driven workflows across entire organisations. As enterprise adoption accelerates, they are expanding their Applied AI Engineering team and hiring a Forward Deployed Engineer to work directly with customers designing and deploying AI-powered solutions. The Role As a Forward Deployed Engineer, you’ll act as a technical strategist embedded with enterprise customers, helping them design and implement AI-driven transformations across their systems and workflows. This role sits at the intersection of: • Applied AI engineering • Enterprise solution architecture • Customer-facing technical leadership • Systems integration You’ll work closely with customer stakeholders, pre-sales teams, and internal engineering groups to translate complex business problems into scalable AI-powered solutions. What You’ll Do • Understand Customer Context Develop deep knowledge of customer domains, systems, and operational goals to guide solution design. • Architect AI Solutions Design intelligent workflows, AI agents, and system integrations that align with customer objectives and industry best practices. • Act as a Trusted Technical Advisor Build strong relationships with customer stakeholders and guide them through AI adoption and deployment. • Bridge Teams & Translate Requirements Connect pre-sales, customer success, engineering, and product teams to ensure technical solutions align with business outcomes. • Design Scalable Architectures Build modular, reusable solution frameworks that can scale across customers and industries. • Support Delivery & Implementation Collaborate with applied AI engineers to ensure high-quality execution of solutions. • Partner with Pre-Sales Help scope technical solutions for new opportunities and assess feasibility and implementation strategies. • Drive Innovation Stay ahead of developments in AI, automation, and enterprise integration. Expect up to 50% travel for customer discovery, deployment, and technical workshops. What We’re Looking For • 7+ years in solution architecture, technical consulting, or enterprise software implementations • Experience working directly with enterprise customers in technical roles • Hands-on experience with cloud platforms (AWS, GCP, Azure) • Familiarity with generative AI technologies and AI-driven workflows • Strong understanding of APIs, webhooks, integrations, and data pipelines • Ability to translate business needs into technical architectures Additional strengths include: • Strong communication with technical and non-technical stakeholders • Experience delivering complex enterprise transformation projects • SaaS or platform architecture experience (multi-tenant systems, extensibility) • Experience defining and measuring success through KPIs and OKRs Education: Bachelor’s degree in Computer Science, Engineering, or related field. Architecture certifications (TOGAF, SAFe) are beneficial but not required. Why This Role Is Interesting This position sits at the forefront of applied AI adoption inside large organisations. You’ll work directly with customers to move AI from experimentation to production-grade systems that transform how companies operate. 📍 Austin, Texas – hybrid (3 days in office) ⚠️ No visa sponsorship available and no C2C engagements Interested? Apply directly or reach out to Stax for a confidential conversation.