Forward Deployment Engineer

What You'll Do

As a Solutions Architect, you will translate complex business needs into scalable technical architectures, rapidly prototype AI-driven applications, and integrate Typeface’s platform across customer ecosystems. You’ll combine full-stack engineering expertise with hands-on GenAI experience—building custom agents, workflows, and reusable components—while driving customer transformations through fast experimentation and iterative delivery.

How You’ll Make Impact

• Partner with Engagement Managers, and Product teams to define customer requirements, facilitate technical workshops, and co-create GenAI solutions
• Serve as a Solution Architect during the sales cycle—proposing the right workflows and architecture upfront, getting customer sign-off, then implementing what you sold
• Apply an AI-first experimentation mindset—build proof points in days, iterate on feedback, and demonstrate quick wins that build momentum for transformations
• Build custom agents and workflows tailored to specific customer use cases
• Develop integrations with customer systems (CMS, DAM, marketing automation, analytics) and platforms like Google Workspace, Salesforce, Adobe Experience Cloud, and Campaign Manager 360
• Capture field-proven use cases and funnel them back to Product and Engineering teams to inform the Typeface platform roadmap
• Own delivery sprints from requirements through deployment, tackling challenges on-site or remotely while balancing multiple customer engagements
• Document playbooks, prompts, patterns, and best practices in internal knowledge bases and create technical guides for common use cases
• Share learnings across the organization, mentor other engineers, and present technical demos and case studies at customer events

What You’ll Bring

• Proven experience designing Solution Architectures for Enterprises and delivering on them via technical delivery
• Outstanding customer-centricity with ability to build trust quickly with enterprise technical teams and stakeholders
• Exceptional communication skills to translate complex AI concepts for both engineers and executives, present solutions clearly, and write comprehensive technical documentation
• Experience with content management systems, digital asset management platforms, marketing automation tools, and creative workflows
• Extensive hands-on experience with LLMs (GPT-4, Claude, Llama, Gemini), diffusion models (Stable Diffusion, DALL·E), and multimodal AI for text, images, video, and audio
• Proficiency with prompt engineering, fine-tuning, model optimization, and understanding of LLM capabilities, limitations, and hallucination mitigation strategies
• Startup DNA: thrives in fast-paced, ambiguous environments with high ownership mentality, comfortable wearing multiple hats and tackling problems outside core expertise

Base Salary

The OTE compensation range for this role is $160,000-$210,000. Actual compensation may vary based on level, experience, and skillset as assessed in the interview process.

Originally posted on Himalayas