Principal AI Architect

This is a fully remote position, open to applicants in Illinois.

📋 Description

• Design and implement comprehensive AI, Generative AI, and agentic AI solutions from initial concept to final production.

• Utilize hands-on skills to develop systems based on large language models (LLMs), retrieval-augmented generation (RAG) pipelines, AI agents, and multi-agent orchestration solutions.

• Create capabilities for AI platforms, including model selection, LLM routing, retrieval strategies, memory systems, and orchestration of tools/functions.

• Lead practical prototyping and proof-of-concept projects to validate technologies and promote their adoption.

• Ensure that AI solutions are engineered for high performance, scalability, observability, privacy, and operational readiness.

• Define and guide architectural strategies across various domains and business segments, ensuring alignment with the overall enterprise strategy.

• Collaborate with business and technology leaders to develop the AI roadmap, prioritize initiatives, and formulate execution strategies.

• Establish and advocate for architecture standards, reusable patterns, and industry best practices.

• Drive modernization efforts to minimize technical debt while enhancing scalability, resilience, and performance.

• Implement and oversee AI governance, security measures, responsible AI practices, and compliance protocols.

• Ensure AI solutions are meticulously designed for optimal performance, observability, privacy, and operational readiness.

• Work collaboratively with engineering, data, product, and business teams to deliver production-quality AI solutions.

• Mentor engineers and architects while effectively communicating AI concepts to both technical and non-technical audiences.

⛳️ Requirements

• Over 10 years of experience in software engineering, architecture, and enterprise system design.

• Demonstrated success in delivering complete AI/ML and Generative AI solutions in production settings.

• Strong hands-on engineering skills with the capability to work across architecture, design, and implementation phases.

• Extensive 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.

• Proficient programming skills in Python, with experience in building APIs, microservices, and distributed systems.

• Background in designing and implementing solutions on cloud platforms, preferably Azure.

• Familiarity with DevOps practices, including CI/CD, containerization, and scalable deployment of AI systems.

• Knowledge of infrastructure-as-code tools (Terraform, Bicep) and Kubernetes-based deployments.

• Strong grasp of data architecture and integration patterns that support AI workloads.

• Ability to assess emerging technologies and convert them into scalable enterprise capabilities.

• Comprehensive understanding of AI governance, risk management, compliance, privacy, and responsible AI principles.

• Excellent communication and stakeholder management abilities.

• Capable of influencing decisions across engineering, data, and business teams.

• Proven track record of mentoring, guiding, and enhancing engineering and architecture teams.

• Master’s or Bachelor’s degree in Computer Science, Engineering, Data Science, or a related STEM field.

🏝️ Benefits

• Competitive salary and performance-based bonuses.

• Comprehensive health, dental, and vision insurance.

• Generous paid time off and flexible working arrangements.

• Opportunities for professional development and continuing education.

• A collaborative and innovative work environment.