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Solutions Architect​/Forward Deployed Engineer

Job in Tempe, Maricopa County, Arizona, 85280, USA
Listing for: typeface.ai
Full Time position
Listed on 2026-06-04
Job specializations:
  • IT/Tech
    AI Engineer
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below
Position: Solutions Architect / Forward Deployed Engineer

Forward Deployed Engineer / Solutions Architect

Remote

About Typeface

We he lp the world’s biggest brands move from brief to fully personalized campaigns — in days, not months.

Founded by Abhay Parasnis and backed by Microsoft, GV, Salesforce, Lightspeed, Madrona and Menlo, we’re building category-defining technology at the intersection of creativity and AI with real impact. Join us to help shape the future of enterprise marketing.

What You’ll Do

As a Forward Deployed Engineer / 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,facilitatetechnical 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
  • Applyan AI‑first experimentation mindset—build proof points in days, iterate on feedback, anddemonstratequick wins that build momentum for transformations
  • Design, build, and deploy full‑stack applications and microservices integrating Typeface API/SDK, Brand Hub, Arc Agents, and multimodal content generation
  • Buildcustom agents and workflows tailored to specific customer use cases
  • Developintegrations with customer systems (CMS, DAM, marketing automation, analytics) and platforms like Google Workspace, Salesforce, Adobe Experience Cloud, and Campaign Manager 360
  • Capturefield‑proven use cases and funnel them back to Product and Engineering teams to inform the Typeface platform roadmap
  • Identify patterns and opportunities for productization of custom solutions while championing customer needs in internal product discussions
  • Developreusable components, templates, and patterns deployable across customers with CI/CD pipelines and governance checks
  • Createautomated testing frameworks for brand compliance, content safety, and quality assurance while designing scalable architectures for enterprise‑grade volumes
  • Own delivery sprints from requirements through deployment, tackling challenges on‑site or remotely while balancing multiple customer engagements
  • Documentplaybooks, prompts, patterns, and best practices in internal knowledge bases and create technical guides for common use cases
  • Sharelearnings across the organization, mentor other engineers, and present technical demos and case studies at customer events
What You’ll Bring
  • 3+ years as a full‑stack developer or technical consultant with strongproficiencyin React.js/Next.js/Angular, Node.js/Python/Java Spring Boot, REST/Graph

    QLAPIs, andtrack recordshipping production applications
  • 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
  • Deepexpertisein RAG pipelines, vector databases (Pinecone,Weaviate, FAISS), semantic search, and AI agent frameworks (Lang Chain,Llama Index,Auto Gen)
  • Proficiency with prompt engineering, fine‑tuning, model optimization, and understanding of LLM capabilities, limitations, and hallucination mitigation strategies
  • Cloudexpertiseacross AWS (EC2, S3, Lambda, Sage Maker, Bedrock), Azure (OpenAI Service, Cognitive Services), and Google Cloud (Vertex AI,Big Query)
  • Strong Dev Ops  skills including Docker, Kubernetes, CI/CD (Git Lab, Git Hub Actions), Infrastructure as Code (Terraform, Cloud Formation), and monitoring tools
  • Understanding of OAuth, JWT, API security, data encryption, and compliance requirements (SOC2, GDPR)
  • Experience with content management systems, digital asset management platforms, marketing automation tools, and creative workflows
  • Outstanding customer‑centricity with ability to build trust quickly with enterprise technical teams and stakeholders
  • Exceptionalcommunication skills to translate complex…
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