AI Practice
US$225,000 – US$275,000 / yr base salary
Posted 14 Aug 2026
Advertised as “AI Practice Lead & Principal FDE”
BranchFactor Summary
The original posting with the fluff stripped out
- Expected experience
- 15+ yrs
- Management level
- People management
- Employment
- On-Site
- Contract
- Full-time
| Base salary | US$225,000 – US$275,000 / yr |
|---|
Accellor is 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 is to operationalize AI at scale and unlock sustained enterprise value.
Our offerings span AI solutions, data services, enterprise applications, and product engineering, tailored to industry-specific needs across healthcare, life sciences, telecom, retail, financial services, and technology. By leveraging design thinking and technology-agnostic architectures, we ensure faster time-to-value and seamless interoperability.
With a proven track record of enabling Fortune 100 enterprises and global innovators, Accellor stands 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 the AI Practice Lead and 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 FDEs 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.
You’ll partner closely with Delivery, Solutions, Sales, and GTM to ensure customer and industry specific solution development is prioritized to support accelerated growth. Your decisions will influence how we are trusted by the customers closest to our deployment work. This role 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. You and your team will define architectures and best practices for AI deployment at scale.Your success will be measured by patterns that accelerate future deployments, strengthen technical credibility with enterprise buyers, and reduce time to value across engagements.
In this role you will:
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Run technical discovery workshops with customer architects, data leaders, and AI teams, mapping data sources, MCP Workspace scoping, and agent tooling requirements
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Own the scoping for AI deployments with clear acceptance criteria around agent accuracy, data coverage, and governance