Forward Deployed Engineer with Agentic AI experience - On site/hybrid
$200,000–$250,000 year
HybridHartford, Connecticut, United States
Job Summary
Partner with enterprise stakeholders to identify AI opportunities and define measurable business outcomes while designing scalable AI architectures including orchestration, governance, and security controls. Build rapid proof-of-value and MVP AI solutions using modern GenAI and agentic frameworks, integrating workflows with tool integrations and enterprise data connectivity. Implement RAG architectures, vector search strategies, and evaluation frameworks to accelerate enterprise AI adoption across complex environments. Collaborate with engineering, cloud, product, and delivery teams to transition solutions into production environments. Support technical discovery sessions, workshops, and executive presentations to drive adoption. Occasional travel required for client engagements; sponsorship not available.
Required Qualifications
- 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
- Full-time opportunity
- Occasional travel required for workshops and client engagements
Desired Qualifications
- 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
- Candidates should have fewer than 10 years of total experience preferred by the hiring team
Hiring someone like this?
Get your role in front of qualified candidates on Sorce.