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Software Engineer

Insight Global · Atlanta, GA

Spotted 8h ago

Job details

Level
Senior
Experience
8+ years
Posted
Oct 19, 2026
Last confirmed open
Oct 19, 2026
Job description

About this role

🚀 Hiring: Forward Deployed Engineer – AI Consulting (US Remote, ~50% Travel) We’re a boutique AI consulting firm working with Fortune 500 leaders in healthcare, finance, telecom, and tech to build and operationalize AI that moves the needle—no fluff, no theory, just real impact. We’re looking for a Senior Forward Deployed Engineer (FDE) to join our small, elite team.

If you’ve shipped production AI in regulated enterprises, led technical discovery with C-suite executives, and built working systems in days—not months—this is your next move.

You’ll

Lead technical scoping and solutioning for multi-million-dollar AI deals Run executive workshops with CIOs, CTOs, and Chief Risk Officers Build live demos and PoCs in days—using LLMs, RAG, agentic workflows, fine-tuning, and more Architect and deliver end-to-end AI systems in AWS/Azure/GCP, with integration into Snowflake, Databricks, ERPs, CRMs, and compliance frameworks (HIPAA, PCI, SOC 2) Write production Python, defend architecture decisions in boardrooms, and ship systems that stay safe and accurate after go-live Mentor junior engineers and contribute to reusable accelerators and internal IP You have: 8–12 years of hands-on experience shipping production AI/ML in real enterprise environments Deep domain experience in healthcare, finance, telecom, or tech Expertise in LLMs, RAG, fine-tuning, agentic frameworks (LangGraph, CrewAI, etc.), evals, and guardrails Production-grade Python, cloud (AWS/Azure/GCP), Docker, Kubernetes, and modern data platforms Proven success in pre-sales, solutioning, and co-selling with enterprise sales teams The ability to hold your ground in front of skeptical C-suite leaders Bonus if you’ve: Led AI programs from PoC to enterprise rollout Worked with AI governance frameworks (NIST AI RMF, EU AI Act, ISO 42001) Optimized LLM cost and latency at scale Co-sold with AWS, Azure, GCP, OpenAI, or Anthropic field teams Location: U.S. remote. ~50% travel (typically Mon–Thu) to client sites.

Atlanta or Dallas preferred but not required. This is not a consulting role with junior analysts or slide decks. It’s a high-leverage, high-impact position for senior engineers who want to own the technical outcome—and the deal.

If you’ve already done this work, and you’re ready to build the future of enterprise AI— apply now. #Hiring #AIJobs #MachineLearning #LLM #AIConsulting #ForwardDeployedEngineer #TechJobs #RemoteJobs #USRemote #CloudComputing #DataEngineering #MLOps #AIInHealthcare #AIFinancialServices #AICareers

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