Cuesta Partners - AI Solutions Architect
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Requirements
• 8+ years in solution architecture, data engineering, or software engineering roles; 3+ years architecting AI/ML solutions in production. • Proven experience designing modern, cloud-native AI solutions and integrations across AWS, Azure, or GCP, including data platform integration, LLM orchestration, and secure API connectivity. • 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). • 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 • 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 • Core Competencies • Architectural Systems Thinking – Visualizes complex interactions across data, application, and infrastructure layers. • Architectural Systems Thinking • AI/ML Depth & Breadth – Stays current on techniques, tooling, and responsible-AI best practices. • AI/ML Depth & Breadth • Client Influence – Builds trust quickly; frames solutions around tangible ROI. • Client Influence – • Execution Leadership – Drives estimation accuracy, risk mitigation, and delivery quality. • Execution Leadership • Collaboration & Mentoring – Elevates team capability through coaching and knowledge sharing. • Collaboration & Mentoring
Responsibilities
• Design cloud-native AI and data solution architectures, including reference patterns, data flows, AI/ML workflows, and LLM orchestration that balance scalability, security, cost, and speed to value. • Translate AI and data architectures into clear diagrams, executive-ready narratives, visuals, and roadmaps for technical and non-technical stakeholders. • Advise clients on AI strategy, build-vs-buy decisions, governance, and ethical considerations. • Integrate and orchestrate data across multiple platforms, including cloud data warehouses and lakes (e.g., Snowflake, BigQuery, Databricks) and external APIs • Collaborate with ML Engineers and Data Engineers to validate architectural alignment and integration feasibility. • Conduct architecture reviews and risk assessments; identify and execute course corrections as needed. • Architect AI solutions that leverage LLMs and RAG patterns to deliver interpretable insights and human-readable outputs from complex model results. • Mentor junior architects and consultants; contribute to reusable accelerators, templates, and an internal knowledge base. • Provide technical oversight across multiple client engagements, ensuring architectural consistency, delivery quality, and alignment between business requirements and implemented solutions. • Provide hands-on guidance to engineering and data teams on API integrations, data pipelines, and AI service connectivity, ensuring solutions are scalable, secure, and maintainable. • API integrations, data pipelines, and AI service connectivity • Stay current on emerging AI platforms, LLM tooling, and cloud-based data services, continuously evaluating how they can enhance our integration capabilities. • AI platforms, LLM tooling, and cloud-based data services
Benefits
• We’re hiring for multiple positions with varying levels of experience and seniority. Actual compensation will be determined based on the candidate’s experience, qualifications, and alignment with role expectations. $145K – $188K • Offers Bonus • In addition to the base salary, there is typically an annual bonus of between 15-25% of salary. • Upload your resume here to autofill key application fields. • Drop your resume here! • Parsing your resume. Autofilling key fields... • or drag and drop here
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