Senior Forward Deployed AI Engineer (GenAI, AWS)

TL;DR

Senior Forward Deployed AI Engineer (GenAI, AWS): Developing and deploying production-ready GenAI and agentic systems for enterprises in financial services and healthcare with an accent on domain embedding and first-principles rebuilding of business processes. Focus on bridging the gap between operator workflows and automated AI solutions, building evaluation suites, and delivering cloud-native AWS infrastructure.

Location: Must be based in New Jersey, New York, Pennsylvania, North Carolina, Connecticut, Massachusetts, or Virginia

Company

hirify.global is a Premier AWS and Anthropic Strategic Partner specializing in applied AI for Financial Services, Insurance, Healthcare, and Life Sciences.

What you will do

• Embed directly within client operations to learn business functions (underwriting, claims, etc.) from the inside before automating them.
• Rebuild critical business processes from first principles using GenAI and LLMs.
• Ship production-ready AI systems, moving beyond prototypes and notebooks.
• Design and own evaluation suites for non-deterministic AI systems.
• Collaborate with senior stakeholders (CTOs, BU heads) to align technical solutions with business outcomes.
• Contribute to industry-specific AI Blueprints to improve scalable delivery.

Requirements

• 8+ years of experience building production software with a strong hands-on approach.
• Proven track record of shipping GenAI/LLM systems to production.
• Proficiency in Python and/or TypeScript.
• Experience with AWS cloud-native delivery (containers, Kubernetes/ECS, IaC, CI/CD).
• Hands-on experience with Claude Code and Cowork.
• Fluent English (written and spoken).

Nice to have

• Previous experience as a founder, CTO, or engineering leader.
• Domain expertise in financial services, insurance, healthcare, or asset management.
• Experience in professional services or customer-facing delivery.
• Depth in data platforms (data lakes, streaming, data mesh).
• Experience with MLOps, PyTorch, SageMaker, or fine-tuning LLMs.

Culture & Benefits

• Opportunity to work on frontier delivery projects involving Cowork Activation and Agentic SDLC.
• Collaboration in small, senior teams alongside Principal Architects.
• Remote-friendly corporate culture.
• Impact-driven measurement based on business outcomes rather than hours or scope.

Hiring process

• Introductory conversation regarding background and goals.
• Two live engineering sessions focusing on real problems (LLM assistants allowed).
• A redesign session to evaluate domain understanding and system architecture.
• Final team and practice conversation.