AI Forward Deployed Engineer

AI Forward Deployed Engineer

Mission Control Role Profile

The FDE is the technical prime for a Mission Control engagement, accountable for identifying the right customer problem, turning it into working AI, and carrying it through production. The role combines business acumen, AI engineering, architecture and hands-on execution.

Responsibilities

• Partner with customer business and technical leaders to identify and prioritize high-value AI use cases, define the desired business outcome and establish clear success criteria.

• Own the technical outcome from use case -> prototype -> live test -> production -> optimization.

• Build hands on keyboard: rapidly prototype, code, configure and integrate AI solutions using customer systems, APIs, data and tools.

• Design and optimize agent behavior, prompts, tool invocation, orchestration, knowledge and evaluation patterns.

• Test against real data and edge cases, diagnose failures and iterate rapidly.

• Deploy safely into production and continuously optimize against the agreed business outcome.

• Work directly with Product and Engineering to identify gaps and remove production blockers.

• Build for reuse, not just the customer in front of you. Package proven agents, prompts, integrations, evaluations and deployment patterns into reusable assets that accelerate the next customer.

• Maintain accountability end to end. Expertise comes in; ownership does not transfer.

• Qualifications / Attributes

• 5+ years of relevant experience in AI engineering, solution architecture, software engineering, or a similar technical role.

• Fluency in French and English languages is a mandatory requirement. Additional language knowledge is a plus.

• Strong ability to translate business problems into technical solutions and measurable outcomes.

• Demonstrated hands-on technical capability and a strong desire to build, not just architect or present

• Working proficiency in Python, TypeScript/JavaScript, Java or equivalent, plus APIs, Git and modern cloud architectures, or demonstrated ability to develop these skills rapidly.

• Practical understanding of LLMs and agentic AI, including prompting, tool calling, orchestration, grounding, evaluation and guardrails.

• Familiarity with AI-native development environments and coding agents (e.g. Cursor, Claude Code, GitHub Copilot, Windsurf or Amazon Kiro), with a willingness to use AI tools effectively and responsibly to accelerate development.

• Experience integrating enterprise systems, data and APIs; production deployment experience is highly valuable.

• Strong customer-facing presence, equally comfortable with business executives and engineers.

• Thrives in ambiguity, learns quickly, adaptable, moves with urgency and owns problems through resolution.

• Demonstrate Ability to lead and innovate ideas with a willingness to use AI tools effectively and responsibly to accelerate delivery.

• Working knowledge of security and governance fundamentals for enterprise AI, including authentication and authorization (OAuth, SSO), data privacy, and secure integration with customer environments.

• Genesys, CX or conversational/voice AI expertise is valuable, but not required.

• The Profile We Are Building

• We are not looking for people who already carry the FDE title. We are selecting exceptional technical talent with the aptitude and mindset to become forward-deployed engineers.

• Business thinker. Hands-on builder. Customer technologist. Builds once, scales everywhere.