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Principal Forward Deployment Engineer (FDE

Job in Seattle, King County, Washington, 98127, USA
Listing for: Accellor
Full Time position
Listed on 2026-09-12
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 200000 - 225000 USD Yearly USD 200000.00 225000.00 YEAR
Job Description & How to Apply Below

Accelloris an AI-native services firm purpose-built for the post-ChatGPT era. Free from legacy constraints, we focus on delivering measurable business outcomes through advanced AI, data, and engineering capabilities.

Our mission isto operationalize AI at scale and unlock sustained enterprise value.

Our offerings spanAI solutions, data services, enterprise applications, and product engineering, tailored to industry-specific needs across healthcare, life sciences, telecom, retail, financial services, and technology. Byleveragingdesignthinking and technology-agnostic architectures, we ensure faster time-to-value and seamless interoperability.

With a proven track recordof enabling Fortune 100 enterprises and global innovators,Accellorstands as a trusted partner for organizations seeking to harness the full potential of AI. Our vision is clear:to build intelligent, connected ecosystems that deliver measurable outcomes and redefine the future of enterprise transformation.

About the role

As a Principal FDE, you’ll be the senior technical leader inside our most strategic enterprise engagements. You'll embed with customers to translate AI ambitions into production architectures, designing how data, AI, and governance fit together end-to-end. You'll be the technical voice the customer trusts and the field-level expert whose patterns shape what we build next in product.

You’ll lead FDE through high-stakes, ambiguous customer deployments and own technical and business value outcomes end to end. You’ll grow a team that can operate under pressure and help our organization learn from the field.

The FDE works directly with strategic customers and designs how AI, data and governance come together end-to-end to ensure deployments are scalable, secure, and deliver measurable outcomes. This role goes beyond solution design. By shaping architectures, defining best practices, and identifying product gaps in real time, the Architect directly influences the evolution of the platform. Their work creates patterns that accelerate future deployments, strengthen technical credibility with enterprise buyers, and reduce time to value across engagements.

You’ll partner closely with Product, Research, Sales, and GTM to ensure fieldwork informs roadmap priorities, drives new exploration, and supports safe deployment r decisions will influence how we are trusted by the customers closest to our deployment work. Your success will be measured by how consistently your team ships, how clearly you deliver signal to Research and Product, and how durable your team and delivery model prove to be.

In

this role you will:
  • Run technical discovery workshops with customer architects, data leaders, and AI teams, mapping data sources, MCP Workspace scoping, and agent tooling requirements
  • Own the scoping for AI deployments with clear acceptance criteria around agent accuracy, data coverage, and governance
  • Translate complex AI + data concepts into executive-ready architecture proposals; defend trade-offs to CxO-level stakeholders
  • Lead and grow a team of FDE delivering production systems with frontier models
  • Own end-to-end delivery outcomes through clarity, speed, tight coordination, and technical quality
  • Own the technical solution end to end, from customer discovery and workflow scoping through architecture, hands-on implementation, evaluation, production deployment, adoption, and handoff
  • Partner credibly with customer engineers, operators, and domain experts to frame ambiguous problems, define scope, and translate business workflows into technical requirements and measurable outcomes.
  • Design solutions across various AI sources covering MCP server configuration, semantic context modeling, and governance integration
  • Architect agent orchestration,…
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