What are the responsibilities and job description for the Principal AI Architect - Remote position at ChatGPT Jobs?
Job Description
Principal AI Architect
Company: Paradigm
Location: Lombard, IL
Responsibilities
Principal AI Architect
Company: Paradigm
Location: Lombard, IL
- Remote
Responsibilities
- Architect and deliver end-to-end AI, Generative AI, and agentic AI solutions from concept through production
- Apply hands-on expertise to build LLM-based systems, RAG pipelines, AI agents, and multi-agent orchestration solutions
- Design AI platform capabilities including model selection, LLM routing, retrieval strategies, memory systems, and tool/function orchestration
- Lead hands-on prototyping and proof-of-concepts to validate technologies and accelerate adoption
- Ensure AI solutions are designed for performance, scalability, observability, privacy, and operational readiness
- Define and drive architecture across multiple domains/business segments, ensuring alignment with enterprise strategy
- Partner with business and technology leadership to shape AI roadmap, priorities, and execution strategy
- Establish and promote architecture standards, reusable patterns, and best practices
- Drive modernization initiatives to reduce technical debt and improve scalability, resilience, and performance
- Implement and guide AI governance, security, responsible AI, and compliance practices
- Collaborate across engineering, data, product, and business teams to deliver production-grade AI solutions
- Mentor engineers and architects and effectively communicate AI concepts to technical and non-technical stakeholders
- Partner with business and technology leadership to define AI strategy, roadmap, and execution priorities
- Establish and promote architecture standards, reusable patterns, and best practices
- Mentor architects and engineers; build internal capability for AI solution delivery
- Communicate complex AI concepts effectively to both technical and non-technical stakeholders
- Lead adoption of AI-enabled tools within the team, ensuring effective integration into workflows; coach employees on usage, monitor impact on productivity/quality, identify process improvement opportunities
- Demonstrate customer-first mindset; understand Paradigm organization, products, operations, customers; prioritize collaboration and service quality
- Continuously evaluate evolving AI landscape (LLMs, agents, frameworks, tools)
- Translate emerging technologies into practical enterprise use cases and capabilities
- Drive modernization initiatives to improve scalability, resilience, and performance
- 10 years of experience in software engineering, architecture, and enterprise system design
- Proven experience delivering end-to-end AI/ML and Generative AI solutions in production environments
- Strong hands-on engineering capability across architecture, design, and implementation
- Deep expertise in LLMs, prompt engineering, RAG, embeddings, vector databases, and agent-based systems
- Experience with agent frameworks and orchestration including multi-agent patterns and integrations
- Strong programming experience in Python and building APIs, microservices, and distributed systems
- Experience designing and implementing solutions on cloud platforms (Azure preferred)
- Experience with DevOps practices, including CI/CD, containerization, and scalable deployment of AI systems
- Familiarity with infrastructure-as-code (Terraform, Bicep) and Kubernetes-based deployments
- Strong understanding of data architecture and integration patterns supporting AI workloads
- Ability to evaluate emerging technologies and translate them into enterprise-scale capabilities
- Solid knowledge of AI governance, risk, compliance, privacy, and responsible AI principles
- Strong communication and stakeholder management skills
- Ability to influence decisions across engineering, data, and business teams
- Proven ability to mentor, guide, and elevate engineering and architecture teams
- Master’s or Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field