Senior Forward Deployed AI Architect (GenAI, AWS)

Location: Remote within New Jersey, New York, Pennsylvania, Connecticut, or Massachusetts, with on-site visits to client facilities and the NYC office once per week.

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

Company

hirify.global is an AI delivery and engineering partner building production systems for financial services, healthcare, and other enterprise customers.

What you will do

• Learn a customer’s business function and constraints from inside the operator’s workflow, then rebuild and improve it with the client and a Forward Deployed Executive.
• Own engagements autonomously from problem framing through production deployment, working inside the customer’s process.
• Deliver Cowork Activation, Agentic SDLC, and Blueprint Activations for financial services and healthcare.
• Deploy production GenAI and LLM systems, including Claude-based solutions, on AWS.
• Help enterprises adopt AI from strategy through first deployment and contribute to tooling and frameworks for the AI delivery practice.
• Feed field learnings back into reusable industry Blueprints.

Requirements

• Typically 7+ years of software development experience, including substantial production coding responsibility; must remain hands-on.
• Ability to understand unfamiliar business functions and spend time learning a customer’s work before writing code.
• Production experience shipping GenAI/LLM systems beyond demos and notebooks.
• Experience building or owning evaluation suites for non-deterministic systems and explaining the measurements and rationale.
• Strong engineering fundamentals and the ability to become productive in unfamiliar codebases or languages.
• Proficiency in Python and/or TypeScript, with depth valued over a particular stack.
• Cloud-native delivery experience on AWS, including operational ownership of systems handed to others; GCP or Azure experience is a plus.
• Pre-sales experience and the ability to work credibly 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, and custom harnesses.

Nice to have

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

Culture & Benefits

• Full-time employment with remote work and weekly on-site attendance at client facilities and the NYC office.
• Unlimited vacation policy.
• Health, vision, and dental insurance.
• 401(k) matching plan.
• Access to Claude certification, conference talks, open-source contributions, and published work under the employee’s own name.
• Work alongside senior forward-deployed engineers on real production deployments and varied industry engagements.

Hiring process

• Recruitment interview followed by a 30-minute technical interview with a Forward Deployed Engineer.
• Complete a 1.5-hour live engineering building session involving business-function discovery, solution design, and defining how success will be measured.
• AI-assisted coding is expected; evaluation focuses on AI usage, judgment, and research beyond standard LLM output. Applications are screened for AI-generated or fraudulent submissions, and quick ID verification may be requested.