Roles in business AI
AI implementation roles turn a business use case into a working deployment. The work can include discovery, configuration, integration, testing and rollout. Some roles require software engineering; others center on delivery and platform configuration.
14 roles in this selection
Remote · United States or Canada
Own client AI transformation engagements from discovery through implementation. The work combines executive communication, roadmaps and hands-on prototyping.
San Francisco, California · Hybrid
Manage complex customer deployments of Fin, combining project leadership with hands-on platform configuration and a clear time-to-value target.
New York office · United States
Deliver customer AI solutions through configuration and integrations, with a client-facing focus on usable outcomes.
Ottawa, ON
Turn AI strategy into deployed capabilities through delivery planning, stakeholder work and hands-on execution. This Cohere role is listed as Technical Program Manager, AI Delivery for Public Sector & Defence, Canada.
Washington, DC
Turn AI strategy into deployed capabilities through delivery planning, stakeholder work and hands-on execution. This Amgen role is listed as Senior Forward Deployed Engineer, AI Studio.
Texas
Turn AI strategy into deployed capabilities through delivery planning, stakeholder work and hands-on execution. This Cognizant role is listed as Agentic process transformation consultant - F&A.
Ottawa, ON
Turn AI strategy into deployed capabilities through delivery planning, stakeholder work and hands-on execution. This Cohere role is listed as Forward Deployed Engineer, Sovereign AI.
Arlington, VA (+42 others)
Turn AI strategy into deployed capabilities through delivery planning, stakeholder work and hands-on execution. This Accenture role is listed as AI SDLC Transformation Manager.
Remote, United States
Turn enterprise AI plans into implemented workflows, particularly in Salesforce and related platforms.
Remote, Canada
Lead the design, delivery, and adoption of AI systems inside client environments.
Remote in 16 listed US states
Build production AI systems inside financial-services client environments, including regulated handoff.
Remote, United States
Build customer-specific data and AI workflows for economic-security and risk use cases.
San Francisco hybrid or approved US remote states
Lead the technical side of customer AI deployments for grocery operations, from discovery to production.
Remote, United States
Deploy conversational AI agents in customer environments and feed field learning into the product.
Solutions roles may primarily sell software. Look for post-sale deployment ownership when your goal is implementation.
Some can. Check the allowed country, province or state, office cadence and travel. A remote label does not establish worldwide eligibility.
How to read Canada-remote eligibility ↗
Show a real workflow, the business problem, the implementation decisions and what changed after rollout. Describe your own contribution and distinguish measured results from projections.