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