AI Practitioner/Forward Deployed Engineer

What You’ll Do

• Build on the Enterprise GPT Platform

  • Design and ship low-code/no-code agents and multi-step workflows for real“jobs to be done.”

  • Use our platform’s Agent Builder, actions, MCP tools, and adjacent automation (e.g., n8n, Power Automate, Zapier/Make).

  Integrate & Orchestrate

  • Connect the Enterprise GPT Platform to systems like Salesforce, ServiceNow, SharePoint/Teams, email, and internal APIs.

  • Orchestrate the platform with external AI tools, services, and models to build a unified, high-impact AI ecosystem for AHEAD.

  • Design and implement MCP (Model Context Protocol) servers and integrations that extend platform capabilities and enable richer, context-aware AI experiences.

  • Implement custom services and integrations (REST APIs, webhooks) when low-codeisn’t enough.

  • Ensure solutions are secure, reliable, observable, and compliant in hybrid/SaaS environments.

  Identify & Solve Business Friction Points

  • Proactively surface pain points across AHEAD’s business units and translate them into AI-powered solution opportunities.

  • Partner with stakeholders to prioritize high-impact use cases and build scalable, repeatable solutions — not one-offs.

  • Measure and communicate the business value of solutions delivered (time saved, errors reduced, adoption rates).

  Act as a Forward-Deployed Engineer

  • Embed with business teams, run discovery, and turn fuzzy asks into clear problem statements and MVPs.

  • Manage executive and senior stakeholder engagement: expectations, demos, decisions, and adoption.

  • Rapidly prototype, validate with real users, and harden MVPs into scalable, production solutions.

  Own LLM Quality, Telemetry & Cost

  • Apply production LLM practices: prompt and agent design, guardrails, and evaluation.

  • Instrument usage, reliability, and token/credit consumption at the agent and team level.

  • Use data to improve quality and reduce unnecessary spend (context scoping, summarization, caching, model choice).

  Governance & Lifecycle

  • Identify gaps in platform governance and proactively design guardrails, standards, and controls that reduce business risk and enable safe scaling.

  • Build governance into solutions from the start — not as an afterthought — including access controls, usage policies, auditability, and content safety.

  • Define and maintainpromotion standards (naming, ownership, documentation, risk classification) that keep the platform manageable as it grows.

  • Manage solution lifecycle end-to-end: intake → build → test → promote → iterate → retire as needed.

  • Partner with Security, Legal, and Compliance stakeholders to ensure platform practices meet enterprise risk requirements.

Required Experience

• Bachelor’s degree in Computer Science, Engineering, Information Systems, Data/Analytics, or equivalent experience.

• Experience in technical roles such as AI Practitioner, Forward Deployed Engineer, Solutions Engineer, Integration Engineer, Automation Engineer or similar, with direct stakeholder engagement.

• Production LLM experience, including:

• Prompt/system design and agent development

• Evaluation frameworks (test sets, metrics, offline/online evals)

• Deployment and operation at scale (multiple teams/use cases)

• Full-Stack Programming Skills:Ability to handle both client-side (frontend) and server-side (backend) development, ensuring a complete, functional application.

• Custom Integrations:Experience creating unique solutions to connect different software applications (e.g., using APIs to make an internal database talk to a CRM tool).

• Track Record of Shipping Production Software:A documented history of building and releasing software that is actually used by real customers, not just in testing.

• Familiarity with enterprise systems:

• Security frameworks (RBAC, least privilege, SSO/SAML/OAuth/OIDC, auditability)

• Common business stacks (e.g., Salesforce, M365/SharePoint/Teams, ServiceNow, ticketing/ITSM, CRM/ERP)

• Hands-on experience with low-code/no-code or automation platforms (Enterprise GPT Platform experience strongly preferred; others like Power Automate, n8n, Zapier/Make, ServiceNow, Salesforce Flows are helpful).

How You Work

• Operate as a builder and advisor, not just an implementer.

• Comfortable being embedded with business teams while upholding platform and security standards.

• Communicate clearly with executives and non-technical stakeholders about trade-offs, risks, and impact.

• Move fast on prototypes, but know when to slow down for risk, security, or cost.

• Stay current on the cutting edge of AI — new models, MCP developments, agentic frameworks, and emerging tooling — and bring relevant innovations back to AHEAD before the market does.

• Continuously scan the business for friction points and unmet needs; show up with ideas, not just execution.

Why AHEAD:

USA Employment Benefits include:

Use of AI: