Technical Consultant - AI & Appian Solutions

Appian

Durham (NC)

On-site

USD 75,000 - 175,000

Full time

14 days+

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Benefits offered by this job

401(k) plan
Flexible time off
Parental leave
Health, dental, vision insurance
Life insurance

Job summary

Appian Customer Success is seeking a Technical Consultant to engage post-sales with clients, defining and delivering software and AI solutions on the Appian platform. You will work across the full project life-cycle in an agile environment to design, develop and implement solutions that transform client processes and drive competitive differentiation.

You’ll collaborate with client technical teams and business users, applying AI tools, RAG and generative models, and ensure adoption by empowering

Qualifications

  • Experience defining business processes and gathering functional/technical requirements.
  • Excellent communication, problem solving, and willingness to learn.
  • Experience with agile software development and cross-functional teams.

Responsibilities

  • Define, design, develop and implement custom software and AI solutions on Appian platform.
  • Work across the project life-cycle in an agile environment to meet client needs.
  • Collaborate with client teams and business users to drive adoption of solutions.

Skills

Client engagement
Business process definition
Agile methodologies
SQL
APIs (REST/SOAP)
Cloud platforms
AI / RAG / generative models
Communication skills
Team collaboration
Willingness to travel

Education

B.S./B.A. in Engineering/CS/IS/Math

Tools

AWS
Google Cloud
REST APIs
JDBC

Job description

Appian Customer Success is seeking a Technical Consultant to engage post-sales with clients, defining and delivering software and AI solutions on the Appian platform. You will work across the full project life-cycle in an agile environment to design, develop and implement solutions that transform client processes and drive competitive differentiation.

You’ll collaborate with client technical teams and business users, applying AI tools, RAG and generative models, and ensure adoption by empowering

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