Forward Deployed AI Architect (GenAI, AWS)

Location: Hybrid in New Jersey, New York, Pennsylvania, North Carolina, Connecticut, Massachusetts, or Virginia; requires on-site visits to client facilities and the New York City office once a week.

Base salary: $180,000–$200,000 plus bonuses; OTE up to $250,000.

Company

hirify.global is an AI delivery company and Anthropic and AWS Partner building production systems for financial services, healthcare, and other enterprise customers.

What you will do

• Learn customer operating constraints from inside the business, then rebuild functions from first principles alongside clients and a Forward Deployed Executive.
• Work as part of the customer’s team, own the delivery method autonomously, and build production solutions rather than limited-scope deliverables.
• Use hirify.global industry Blueprints as starting points and feed field learning back into those working systems.
• Deliver Cowork Activation, Agentic SDLC, and Blueprint Activations for financial services and healthcare customers.
• Shape enterprise AI adoption from strategy through first deployment and help build tooling and frameworks for the AI delivery practice.

Requirements

• Typically 7+ years of software development experience, including substantial responsibility for production code; hands-on engineering is required.
• Ability to understand another person’s job and become conversant in an unfamiliar business function quickly.
• Production experience shipping GenAI or LLM systems, including handling post-prototype engineering challenges.
• Experience building or owning an evaluation suite for a nondeterministic system, including explaining what was measured and why.
• Strong engineering fundamentals and ability to become productive in unfamiliar codebases or languages; proficiency in Python and/or TypeScript.
• Cloud-native delivery experience on AWS, including the operational reality of systems inherited by others. GCP or Azure experience is a plus.
• Presales experience and credibility with senior stakeholders, including business-unit heads and CTOs.
• Comfort with ambiguity, underspecified engagements, and autonomous ownership.
• Hands-on experience with Claude, Claude Code, and Cowork, including skills, workflows, MCP, integrations, connectors, or custom harnesses.

Nice to have

• Production experience with containers and orchestration, including Kubernetes or ECS, and CI/CD.
• Infrastructure-as-code depth with AWS CDK, CloudFormation, or Terraform.
• Open-source contributions or public writing about applied AI.

Culture & Benefits

• Embedded work inside customer teams with autonomous ownership from problem framing through production.
• Access to the newest Claude models, real production budgets, and customer problems across industries.
• Opportunities to work with senior forward-deployed engineers and contribute to talks, open source, published work, and Claude certification.
• Unlimited vacation policy.
• Health, vision, and dental insurance, plus a 401(k) matching plan.
• Full-time employment with client-site and office visits as part of the hybrid arrangement.

Hiring process

• Recruitment interview.
• Either a short practical task of approximately two hours using a synthetic use case or a live engineering session.
• Task discussion after the practical task; the discussion evaluates what would be built and how success would be measured. No LLMs are allowed for this discussion.