Forward Deployed Engineer with Agentic AI experience - On site/hybrid

Talent Search PRO; United States; On-site; USD 200,000 - 250,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

401(k) match

Paid parental leave

PTO

Disability coverage

Job summary

Talent Search PRO is seeking a Forward Deployed Engineer to help enterprise clients design, prototype, and scale GenAI and Agentic AI solutions. This hands-on role sits at the intersection of engineering, solution architecture, and executive-facing consulting.

You will work 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.

Qualifications

• 8 years of experience in software engineering, AI engineering, solution architecture, or technical consulting.
• 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.

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.

Skills

LLM orchestration

Python

TypeScript

Java

Go

AWS

Azure

GCP

Tool-calling

Planning workflows

Human-in-the-loop systems

RAG pipelines

Vector databases

Embeddings

Retrieval evaluation

APIs & microservices

CI/CD

Containers

Observability

AI governance concepts

Executive stakeholder engagement

Education

Bachelor's degree

Tools

Docker

Kubernetes

Job description

Forward Deployed Engineer -- Agentic AI

Salary: $200,000 -- $250,000 Bonus

You can work from these offices: Hartford, CT; Atlanta, GA; Daytona, FL; or Houston, TX

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

Seeking 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