Position Summary As our Data & AI/ML Solutions Architect, you’ll serve as the technical and strategic bridge between customers, delivery teams, and executive stakeholders—designing end-to-end architectures that combine modern data platforms, advanced analytics, and applied AI/ML. You’ll own solution design from discovery through handoff, ensuring every engagement is technically sound, financially viable, and positioned for measurable business impact. Key Responsibilities • Design cloud-native data and AI architectures (reference patterns, data models, MLOps pipelines, LLM orchestration) that balance scalability, security, cost, and speed to value. • Translate complex technical concepts into executive-ready narratives, visuals, and roadmaps. • Advise clients on AI strategy, build-vs-buy decisions, governance, and ethical considerations. • Provide hands-on guidance to developers, data engineers, and ML engineers; review code, pipelines, and infrastructure for best-practice adherence. • Conduct architecture reviews and risk assessments; identify and execute course corrections as needed. • Mentor junior architects and consultants; contribute to reusable accelerators, templates, and an internal knowledge base. • Evaluate emerging AI/ML tools, frameworks, and cloud services to keep our stack forward-leaning and competitive. Required Qualifications • 8+ years in solution architecture, data engineering, or software engineering roles; 3+ years architecting AI/ML solutions in production. • Proven success designing large-scale systems on AWS, Azure, or GCP—including data lakes/warehouses, feature stores, MLOps, model monitoring, and CI/CD. • Hands-on experience with at least two of the following: • Deep-learning frameworks (TensorFlow, PyTorch, JAX). • NLP/LLM stacks (Hugging Face, LangChain, vector databases, RAG patterns). • Computer-vision pipelines (OpenCV, TorchVision). • AutoML & orchestration (Vertex AI, SageMaker, MLflow, Kubeflow, Airflow). • Proficiency in Python and at least one typed language (Go, Java, C#). • Solid grounding in data modeling, API design (REST/GraphQL), containerization (Docker, Kubernetes), and IaC (Terraform, CloudFormation, or Pulumi). • Exceptional communication skills—able to whiteboard with engineers in the morning and brief the C-suite in the afternoon. • Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience). • Consulting or professional-services experience Bonus Skills • Familiarity with privacy regulations (GDPR/CCPA) and AI governance frameworks (NIST AI RMF, ISO/IEC 42001 draft). • Track record leading GenAI POCs or production deployments (chatbots, copilots, content generation, autonomous agents). • Relevant certifications (e.g., AWS Solutions Architect Professional, Google Professional Cloud Architect, Microsoft Azure Solutions Architect, TensorFlow Developer). Core Competencies • Architectural Systems Thinking – Visualizes complex interactions across data, application, and infrastructure layers. • AI/ML Depth & Breadth – Stays current on techniques, tooling, and responsible-AI best practices. • Client Influence – Builds trust quickly; frames solutions around tangible ROI. • Execution Leadership – Drives estimation accuracy, risk mitigation, and delivery quality. • Collaboration & Mentoring – Elevates team capability through coaching and knowledge sharing. Why You’ll Love Working With Us • Comprehensive Health Plan: Prepaid health coverage for you and your immediate family. • Team Engagement Activities: Fun and meaningful events to connect and grow together. • Annual Performance Bonus: Recognition and reward for your hard work. • Growth Opportunities: Career development and advancement within the company. • Flexible Work: Hybrid model with mostly remote work and one day per week in the office for team connection. • Paid Time Off & Holidays: Generous leave to recharge and spend time with loved ones. …and more! Additional perks and initiatives to make your experience at Cuesta Partners even better.