About The Position

Cprime is hiring a Forward Deployed Engineer, Agentic AI to help clients turn business needs and interest in AI into practical, deployed agentic AI solutions. The role spans the client journey: understanding business problems, demonstrating possibilities through proofs of value, and building solutions that clients adopt. Work includes supporting new business through proofs of value, presentations, proposals, solution designs, and estimates, as well as billable delivery as part of client implementation teams. The role’s success includes contributing to new engagements and delivering useful solutions for clients. The engineer will work across varied client platforms and systems, so adaptability is more important than deep expertise in a single tool. They will initially work alongside senior team members and take on more ownership over time. Clear communication is central: the engineer must connect technical solutions to client needs and explain them in terms that matter to different audiences. Cprime provides experienced teammates on early engagements, paid time and budget for relevant certifications, a sandbox for learning and experimentation, and regular team sessions to share lessons from client work. The company describes itself as an AI-first, human-centered partner founded in 2003, headquartered in the U.S., and serving clients globally, including more than 300 Fortune 500 companies. It works across Atlassian, IBM Apptio, ServiceNow, cloud, data, and enterprise agility.

Requirements

  • Roughly one to three years of experience in software engineering, solutions engineering, technical consulting, or a related field; internships, bootcamps, and personal projects count.
  • Comfort writing code and working with APIs and integrations.
  • Hands-on experience building something with AI, at work or independently.
  • Strong written and verbal communication with technical and non-technical audiences.
  • Curiosity about how businesses operate and ability to connect business problems to technical solutions.
  • Confidence in client-facing settings, including presenting and asking challenging questions.
  • Ability to move quickly and handle ambiguity without losing quality.
  • Interest in the commercial side of consulting and how strong work leads to new opportunities.

Nice To Haves

  • Experience with enterprise platforms such as ServiceNow or Moveworks.
  • Background in pre-sales, solutions engineering, or consulting.
  • A project or demo the candidate can walk through.

Responsibilities

  • Work with business and technical stakeholders to understand how they operate and identify where AI can make the biggest difference.
  • Translate business challenges into practical technical approaches and explain tradeoffs in plain language.
  • Help clients prioritize opportunities likely to deliver value soonest.
  • Build focused proofs of value in client environments to demonstrate the potential of agentic AI.
  • Present and demonstrate solutions to technical teams, executives, and other audiences.
  • Contribute technical input to proposals, solution designs, and estimates.
  • Help clients identify a path from early wins to broader adoption.
  • Design, build, and integrate AI agents and automations with clients’ existing systems.
  • Take solutions through building, testing, deployment, and early adoption.
  • Partner with client teams so they can own and extend delivered solutions.
  • Develop reusable approaches based on project experience to make future work faster.
  • Share lessons from client engagements with the team, including what did not work.
  • Contribute to winning new engagements and deliver solutions as part of client implementation teams.

Benefits

  • Paid time and budget for relevant certifications.
  • Sandbox environment for learning and experimentation.
  • Regular team sessions to share what is working across client engagements.
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