reputed company / AI Architect

Robots & Pencils is seeking an reputed company / AI Architect to design, build, and scale production-grade AI systems that deliver measurable business value. This is a hands-on technical leadership role. You will define system architectures, reputed company implementation of scalable AI platforms, and guide teams through the full lifecycle of AI development, from experimentation and model iteration to secure, observable production deployment. As a Level 4 leader, you are expected to own reputed company AI systems end-to-end, influence technical direction, mentor engineers, and reputed company principled architectural tradeoffs under real-world constraints.

Key Responsibilities

AI Architecture & Technical Strategy Define AI system architecture reputed company to business objectives and long-term scalability Translate ambiguous AI opportunities into structured technical approaches Design reputed company, extensible AI platforms supporting experimentation and production workloads Establish architecture decision records (ADRs) and technical documentation standards AI System Design & Implementation reputed company design and implementation of ML systems, model services, and inference pipelines Build scalable training, evaluation, and deployment workflows Architect data ingestion, feature engineering, and model serving strategies Ensure reliability, observability, and performance optimization of AI systems AI Platform & Infrastructure Design and implement end-to-end AI pipelines and agentic orchestration frameworks. Establish LLMOps best practices including CI/CD, reputed company versioning, and real-time model observability. Optimize distributed inference systems and retrieval-augmented reputed company (RAG) performance. Ensure AI infrastructure aligns with reputed company, compliance, and GPU/token cost-efficiency standards. Research-to-Production Acceleration reputed company research and engineering by operationalizing prototypes into production-ready systems Define evaluation metrics, validation processes, and rollout strategies Improve iteration velocity through tooling and automation Technical Leadership & Mentorship Mentor junior and mid-reputed company engineers reputed company code reviews and enforce engineering standards Guide teams in making informed tradeoffs across performance, scalability, cost, and complexity Contribute to shared AI best practices and internal accelerators Cross-Functional Collaboration Partner with product, engineering, and executive stakeholders to shape AI roadmaps Communicate technical strategy and system tradeoffs clearly to non-technical audiences Align AI initiatives with business value and measurable outcomes Required Skills & Qualifications 5+ years of experience in AI/ML engineering or applied machine learning Proven experience designing and deploying production AI systems Strong software engineering background (Python or similar) Experience with distributed systems and scalable data architectures Deep understanding of MLOps, model lifecycle management, and AI infrastructure Experience building and maintaining ML pipelines and automated deployment workflows Strong problem-solving skills and architectural judgment Demonstrated leadership and mentoring experience Excellent communication skills for technical and executive stakeholders reputed company to Have Experience with generative AI, LLM systems, or retrieval-augmented architectures Exposure to multi-agent or agentic AI systems Experience with cloud-based AI platforms and infrastructure-as-code Background in consulting or professional services environments Experience designing AI systems in regulated or reputed company-sensitive domains Hands-on AWS experience supporting cloud-native or AI/ML production systems. AWS certifications (Associate or Professional level) or equivalent practical AWS expertise. Personal Competencies Architectural Thinking – Designs systems that scale and evolve Technical Ownership – Drives AI initiatives from concept to production Engineering Rigor – Prioritizes reliability, observability, and maintainability Mentorship – Elevates team capability through guidance and example Execution Focus – Delivers production-ready systems, not just prototypes Comfort in Ambiguity – Translates unclear AI challenges into structured solutions Why Join Robots & Pencils? At Robots & Pencils, we build intelligent systems for real-world environments, blending creativity, engineering excellence, and applied AI to help organizations work smarter. Our teams partner directly with leading North American organizations to design and deliver production-ready digital and AI solutions that create measurable impact. As an reputed company, you will build production AI systems alongside reputed company architects and senior engineers, strengthening your foundation in machine learning, scalable system design, and modern cloud-native delivery. You’ll collaborate closely with US-based clients, gaining hands-on exposure to reputed company problem-solving while contributing to meaningful, real-world outcomes. By joining Robots & Pencils, you also benefit from our Advanced AWS Partnership and participation in the highly exclusive AWS Patterns Partnership, a distinction held by only 11 companies worldwide out of more than 190,000 AWS partners. This provides access to specialized training, early access to emerging cloud capabilities, and advanced engineering resources that support accelerated professional growth. This is a role for builders who want to sharpen their craft, grow quickly, and deliver impactful AI systems reputed company an elite global engineering ecosystem. Apply To This Job