Forward Deployed Engineer - AI Transformation (Remote)

Map Ssg

16h•Remote

About The Position

A fast-growing cloud-native professional services company is hiring Forward Deployed Engineers for a new AI-focused business unit built around enterprise LLM adoption. This is a startup-style team inside a larger, established consulting organization: small team, high autonomy, direct client ownership, and real delivery responsibility from day one. You’ll work directly with enterprise customers to take AI from idea to production. Engagements may focus on AI-assisted software development, agentic engineering workflows, RAG/LLM applications, or applied AI enablement for business teams.

Requirements

4–10 years of experience in client-facing technical delivery, consulting, systems integration, professional services, FDE, solutions engineering, or customer-facing software engineering.
Hands-on experience with LLM applications, AI agents, RAG pipelines, AI workflows, or AI-assisted development tools.
Comfortable with tools such as Claude, Claude Code, Cursor, Codex, AWS Bedrock, LangChain/LangSmith, Python, AWS, Kubernetes, Zapier, Power Automate, or similar.
Strong consulting instincts: able to run discovery, manage stakeholders, communicate clearly, and drive outcomes without heavy oversight.
Able to speak technically with engineers while also explaining business value to executives.
High tolerance for ambiguity and a bias toward action.

Nice To Haves

Prior consulting, professional services, systems integration, or implementation experience.
Experience leading workshops, enablement sessions, or technical discovery.
AWS/cloud consulting background.
Production AI/LLM project experience.
Account expansion or “sell-do” delivery experience.

Responsibilities

Own client engagements end-to-end: discovery, scoping, architecture, delivery, enablement, and expansion.
Run stakeholder interviews, technical workshops, architecture reviews, and enablement sessions.
Build or guide production AI systems such as agents, RAG pipelines, AI-native apps, workflow automations, or AI-assisted SDLC tooling.
Translate ambiguous business problems into practical, deliverable technical solutions.
Work with both technical and non-technical stakeholders, from engineers and architects to VP/C-suite leaders.
Identify opportunities to expand accounts through strong delivery and proactive problem-solving.
Leave clients with durable capability: documented, maintainable systems, workflows, and enablement materials.