Forward Deployed Engineer Agentic AI - On site/hybrid

Job Description

Job Description Forward Deployed Engineer – Agentic AI

Salary: $200,000 – $250,000 + Bonus

Why This Role?

• Work on enterprise-scale GenAI and Agentic AI initiatives
• Exposure to Fortune 2000 AI transformation programs
• High visibility with executive stakeholders and enterprise clients
• Strong compensation package with bonus eligibility
• Medical, dental, vision, 401(k) match, paid parental leave, PTO, and disability coverage

About the Role

The updated FDE role combines client-facing problem solving with hands-on engineering, taking enterprise AI solutions from proofs of value into production. We are looking for:
* 8+ years in software engineering, solution architecture, or technical consulting, with client-facing delivery.
* Strong Python skills, plus TypeScript, Java, or Go.
* Practical experience with AI agents, LLMs, RAG, tool/API integrations, and AWS, Azure, or GCP.
* Clear personal contributions to coding, architecture, evaluation, integration, and deployment. Production GenAI experience is a plus.

Responsibilities

• Partner with enterprise stakeholders to identify AI opportunities and define measurable business outcomes
• Build rapid proof-of-value and MVP AI solutions using modern GenAI and agentic frameworks
• Design scalable AI architectures including orchestration, governance, observability, and security controls
• Develop AI workflows with tool integrations, enterprise data connectivity, and lightweight user experiences
• Implement RAG architectures, vector search, retrieval strategies, and evaluation frameworks
• Integrate AI solutions with enterprise platforms including AWS, Azure, GCP, Salesforce, SAP, ServiceNow, and Microsoft ecosystems
• Support technical discovery sessions, workshops, demos, and executive presentations
• Create reusable AI accelerators, templates, evaluation suites, and reference architectures
• Collaborate with engineering, cloud, product, and delivery teams to transition solutions into production environments

Requirements

• 8+ years of experience in software engineering, AI engineering, solution architecture, or technical consulting
• Strong experience building enterprise GenAI or Agentic AI solutions
• Experience with LLM orchestration, tool-calling, planning workflows, and human-in-the-loop systems
• Hands-on experience with RAG pipelines, vector databases, embeddings, and retrieval evaluation
• Strong full-stack engineering fundamentals including APIs, integrations, distributed systems, and cloud-native architectures
• Proficiency in Python and at least one additional language such as TypeScript, Java, or Go
• Experience with AWS, Azure, or GCP environments
• Familiarity with CI/CD, containers, observability, and AI governance concepts
• Strong communication skills with the ability to engage executive stakeholders
• Bachelor’s degree required

Preferred Background

• Experience deploying production-grade GenAI systems
• Consulting or client-facing engineering experience preferred
• Exposure to AI governance, AgentOps, telemetry, and compliance frameworks
• Experience within enterprise AI consulting or hyperscaler ecosystems is highly valued
• Background supporting industries such as financial services, retail, manufacturing, hospitality, or healthcare is a plus

Additional Details

• Full-time opportunity
• Bonus eligible
• Occasional travel required for workshops and client engagements
• Sponsorship not available
• Candidates should have fewer than 10 years of total experience preferred by the hiring team