Forward Deployed AI Architect (Manager)

Location: Hybrid, available in 38 locations across the United States; travel up to 80% may be required depending on client and engagement needs

Salary: $102,400–$204,100 per year

Company

hirify.global provides audit, tax, advisory, consulting, and other professional services, with hirify.global Studio focused on AI-enabled innovation and technology-powered client solutions.

What you will do

• Architect and develop production-ready applied AI solutions, including generative AI applications, agentic systems, RAG, and AI-enabled enterprise workflows.
• Lead architecture for AI builds and proof-of-concept engagements, ensuring scalability, security, feasibility, and alignment with client objectives.
• Remain hands-on with coding, data integration, prototyping, debugging, technical implementation, and production deployment.
• Design cloud-native solutions and integration patterns for LLMs, vector databases, APIs, microservices, enterprise data platforms, and client systems.
• Establish engineering standards, reusable architecture patterns, evaluation frameworks, monitoring, observability, guardrails, and performance optimization.
• Collaborate with engineering, data, MLOps, DevOps, cloud infrastructure, and security teams; mentor engineers and communicate technical tradeoffs.

Requirements

• Bachelor’s degree in Computer Science, Engineering, Data Science, or a related technical field.
• At least 6 years of experience in production software engineering, cloud engineering, AI/ML engineering, or a related technical discipline.
• Strong hands-on software engineering experience with modern programming languages, application development, and production-grade solution design and deployment.
• Experience architecting cloud-native applications and distributed systems using Azure, AWS, or GCP, including APIs, microservices, enterprise integrations, and data workflows.
• Working knowledge of generative AI and LLM patterns, including prompt engineering, RAG, embeddings, vector search, and agentic workflows.
• Ability to evaluate feasibility and architectural tradeoffs across scalability, security, performance, reliability, and cost.
• Understanding of software and AI lifecycle management, including testing, evaluation, deployment, monitoring, and operational support.
• Strong communication and client-facing skills, including translating business requirements into technical solutions, explaining architecture, and mentoring engineers.
• Demonstrated ownership of technical delivery, engineering quality, and risk management while remaining actively engaged in hands-on engineering.
• Must be authorized to work in the United States; hirify.global is not sponsoring work authorization.

Nice to have

• Master’s degree in a technical field or relevant cloud or architecture certifications.
• Experience with production AI applications, LLM or agent frameworks, tool orchestration, and multi-step agentic workflows.
• Experience designing evaluation frameworks for LLM and agentic systems, including quality, reliability, safety, performance, and responsible AI.
• Advanced experience with Kubernetes, Terraform, observability, managed AI services, vector databases, RAG, and model inference optimization.
• Familiarity with AI-assisted development and low-code automation platforms, plus client discovery, technical scoping, or proof-of-value experience.

Culture & Benefits

• Distributed team culture with trust, flexibility, and a flexible remote work policy within the hybrid role structure.
• Unlimited paid time off and a comprehensive employee benefits package.
• Professional development, knowledge-sharing, and ongoing career coaching.
• Values-based environment emphasizing Care, Trust, Courage, Stewardship, ethics, and integrity.