Forward Deployed Engineer - Agentic AISalary: $200,000 - $250,000 + Bonus
You can work from these offices: Hartford, CT; Atlanta, GA; Daytona, FL; or Houston, TX
About the RoleSeeking a Forward Deployed Engineer to help enterprise clients design, prototype, and scale GenAI and Agentic AI solutions. This role sits at the intersection of engineering, solution architecture, and executive-facing consulting.
You will work directly with senior business leaders and technical teams to rapidly build proof-of-value solutions, architect scalable AI systems, and accelerate enterprise AI adoption across complex environments.
This is a highly hands-on role focused on shipping real AI systems, not presentations.
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
