Senior Generative AI & Deployment Engineer

Insight Global; Atlanta (GA); On-site; USD 140,000 - 210,000; Full time

Job summary

IG Labs is seeking a Senior Forward Deployed Engineer (FDE) to lead AI-powered client engagements from discovery through deployment. This is a highly technical, client-facing role for engineers who thrive in ambiguity, build quickly, and deliver production-ready solutions that drive real business outcomes.

We are looking for professionals who can design scalable architectures, implement data pipelines, and collaborate with stakeholders to drive enterprise AI programs forward.

Qualifications

• 5+ years of software engineering experience shipping production systems.
• Strong system design, database, and API development experience.
• Deep understanding of AI/ML fundamentals including transformers and embeddings.
• Hands-on experience building production AI or agentic AI applications.
• Expertise in one or more areas: Full Stack Development, Analytics/BI.
• Experience working directly with clients or external stakeholders.

Responsibilities

• Lead client workstreams from discovery to deployment and adoption.
• Build AI agents, RAG solutions, integrations, and data pipelines.
• Translate business problems into scalable technical solutions.
• Partner directly with clients and stakeholders.
• Mentor junior engineers and contribute to technical best practices.
• Support solution scoping, technical estimates, and pre-sales discussions.
• Create reusable assets and frameworks that accelerate future delivery.

Skills

Software engineering

System design

API development

AI/ML fundamentals

Production AI applications

Client-facing communication

Job description

IG Labs is seeking a Senior Forward Deployed Engineer (FDE) to lead AI-powered client engagements from discovery through deployment. This is a highly technical, client-facing role for engineers who thrive in ambiguity, build quickly, and deliver production-ready solutions that drive real business outcomes.

We are looking for professionals who can design scalable architectures, implement data pipelines, and collaborate with stakeholders to drive enterprise AI programs forward.