Forward Deployment Engineer

Required Skills & Experience

• Python Engineering: Strong production Python; proficiency in at least one additional language (Go, TypeScript, or Java). Architects robust agentic system components and writes code others can extend.
• LLM System Design: Demonstrated hands-on experience deploying LLM-based systems: prompt engineering, RAG architecture, agent orchestration, hallucination mitigation, and performance benchmarking.
• Data Engineering & Integration: Proficiency in complex SQL, ETL/ELT pipeline design, and experience building system integrations connecting AI solutions to enterprise and telecom data sources.
• Cloud-Native Deployment: Docker, Kubernetes, CI/CD, and infrastructure experience on AWS (primary) or
• Azure/GCP; able to instrument deployed systems with real-time logging and feedback collection.
• Technical Leadership Without Authority: Proven ability to lead technical delivery and mentor engineers in ambiguous environments; adapts communication to BU partners and leadership alike.
• Responsible AI & Data Security: Applies data privacy, security, and responsible AI principles in all system design and deployment decisions. Builds guardrails and compliance considerations into agentic solutions. Understands the company's data classification standards and handles sensitive data appropriately.
• Forward Deployment Mentality: Demonstrated ability to embed within a business unit, earn partner trust rapidly, and deliver working AI systems under real operational constraints, not in sandbox or lab environments.
• Comfortable operating in ambiguity without heavy process scaffolding.
• Stakeholder Translation: Ability to move fluidly between technical implementation and business communication, converting engineering tradeoffs into plain-language impact narratives for BU managers, and converting vague business asks into precise engineering requirements.
• Technical Leadership: Proven ability to lead technical delivery and mentor engineers in ambiguous environments; adapts communication to BU stakeholders and leadership alike.
• Rapid Prototyping & Production Readiness: Experience compressing the gap between proof-of-concept and production-grade delivery.
• Knows when a prototype is good enough to ship and how to harden it without full re-architecture.

Job Description

• Owns end-to-end solution architecture and delivery.
• Makes independent design decisions across the full agentic stack.
• Defines the framework and is accountable for measured return on investment outcomes.
• Designs the integration architecture.
• Defines reusable patterns for the domain.
• Leads the structured engineering handoff to the practice and makes final calls on data quality remediation approach.
• Owns domain-level reporting narrative.
• Synthesizes Engineer inputs into practice-level insights.
• Authors domain case studies and contributes to FDE playbook development.