Client-Facing AI Deployment Engineer

Capgemini; Town of Tonawanda (NY); On-site; USD 118,000 - 224,000; Full time

Benefits offered by this job

Paid time off

Medical, dental and vision insurance

Retirement plan (401(k) or equivalent)

Life and disability insurance

Job summary

Capgemini seeks a Forward Deployment Engineer to embed with client teams, turning ambiguous business problems into deployable AI-native solutions across live environments.

You will own end-to-end implementation, configure Echo agents and orchestrations, and design workflows that blend human and digital labor, delivering rapid POCs and scalable deployment with measurable business impact.

Qualifications

• Minimum Bachelors Degree.
• 9-12+ years building and shipping software, including time in client-facing or otherwise ambiguous, fast-moving environments.
• Strong engineering foundation: Python, APIs, and at least one major cloud platform.
• Hands-on experience with AI/LLMs, automation, or agent-based systems.
• Ability to break ambiguous problems into structured, deployable solutions with a strong bias to action, and systems thinking across end-to-end workflows.
• Strong client-facing communication, with the ability to engage business and technology stakeholders simultaneously in high-ambiguity environments.
• Nice to have: experience integrating with enterprise systems such as SAP or Salesforce; familiarity with data pipelines and orchestration frameworks.
• Nice to have: prior consulting, forward-deployed, or startup founding/early-engineer experience; exposure to agent orchestration, RAG, or evaluation and observability tooling.

Responsibilities

• Embed within client teams to understand workflows, pain points, and value levers, and translate ambiguous business problems into deployable AI-native solutions.
• Own end-to-end implementation from concept to prototype to production in live client environments.
• Configure, extend, and deploy Echo agents, workflows, and orchestration layers, integrating across enterprise systems (ERP, CRM, data platforms, and APIs).
• Design workflows that combine human and digital labor - optimizing task allocation, throughput, cost efficiency, and experience outcomes.
• Develop POCs and MVPs in days or weeks and iterate in real time with client stakeholders to drive adoption.
• Quantify business impact and support the transition from pilot to scaled enterprise rollout, establishing reusable patterns, accelerators, and deployment playbooks.

Skills

Python

APIs

Cloud platform

AI/LLMs

Client-facing communication

Systems thinking

Problem solving

SAP

Salesforce

Data pipelines

Orchestration frameworks

Agent orchestration

RAG

Observability tooling

Consulting experience

Education

Bachelor's degree

Tools

Echo

ERP

CRM

Data platforms

APIs

Job description

Capgemini seeks a Forward Deployment Engineer to embed with client teams, turning ambiguous business problems into deployable AI-native solutions across live environments.

You will own end-to-end implementation, configure Echo agents and orchestrations, and design workflows that blend human and digital labor, delivering rapid POCs and scalable deployment with measurable business impact.