Remote Forward-Deployed AI Architect (Senior)

Crowe; Livingston (NJ); On-site; USD 102,000 - 204,000; Full time

Job summary

Crowe Studio, a forward deployed AI engineering organization, seeks an experienced Forward Deployed AI Architect (Manager) to own architecture and deliver production-ready AI solutions for clients. You will lead technical feasibility, ensure production readiness, and mentor engineers while remaining hands-on in prototyping and coding.

You will design cloud-native AI solutions across Azure, AWS, and GCP, define LLM integration patterns, and collaborate with cross-functional teams to achieve

Qualifications

• Bachelor's degree in Computer Science, Engineering, Data Science, or a related technical field.
• Minimum of 6 years of experience in production software engineering, cloud engineering, AI/ML engineering, or a related technical discipline.
• Strong hands-on software engineering experience, including proficiency in modern programming languages, application development, and the design and deployment of production-grade solutions.

Responsibilities

• Architect and develop end-to-end applied AI solutions, including generative AI applications, agentic systems, retrieval-augmented generation (RAG), and AI-enabled enterprise workflows.
• Lead solution architecture for AI build and proof-of-concept engagements, ensuring solutions are technically feasible, scalable, secure, and aligned with client business objectives.
• Remain hands-on across solution development, including application coding, data integration, prototyping, debugging, and technical implementation.
• Design and implement cloud-native AI solutions using Microsoft Azure, AWS, Google Cloud Platform (GCP), and relevant AI platforms and services.
• Define architecture and integration patterns for large language models (LLMs), vector databases, APIs, microservices, enterprise data platforms, and client systems.
• Take ownership of technical feasibility, solution design decisions, and build quality from initial discovery through production deployment.
• Guide solutions through Architecture Review Board processes, ensuring alignment with enterprise architecture standards, security requirements, responsible AI principles, and production readiness expectations.
• Assess technical feasibility during client discovery sessions, solution scoping, and sales support discussions, clearly communicating technical tradeoffs, risks, and recommended approaches.
• Establish engineering standards, reusable architectural patterns, technical documentation, and development best practices across client engagements.
• Design solutions with appropriate evaluation frameworks, monitoring, observability, guardrails, and performance optimization to support reliable AI operations.
• Collaborate with AI engineering, data engineering, MLOps, DevOps, cloud infrastructure, and security teams to deliver integrated enterprise solutions.
• Evaluate technical tradeoffs among custom development, managed AI services, and low-code or automation platforms to select appropriate implementation strategies.
• Identify and address technical risks, including performance, scalability, security, reliability, and cost considerations.
• Mentor engineers through architecture reviews, code reviews, technical guidance, and hands-on problem-solving to strengthen engineering quality and team capabilities.
• Evaluate emerging AI frameworks, cloud capabilities, and engineering tools to identify opportunities for innovation and continuous improvement.

Education

Bachelor's degree in Computer Science, Engineering, Data Science, or a related technical field

Job description

Crowe Studio, a forward deployed AI engineering organization, seeks an experienced Forward Deployed AI Architect (Manager) to own architecture and deliver production-ready AI solutions for clients. You will lead technical feasibility, ensure production readiness, and mentor engineers while remaining hands-on in prototyping and coding.

You will design cloud-native AI solutions across Azure, AWS, and GCP, define LLM integration patterns, and collaborate with cross-functional teams to achieve