Remote Senior AI Architect

Hello,

Position: Senior AI Architect

Location: 100% Remote

Duration: 12+months

Job Description

• We are looking for a Senior AI Architect — a hands-on technologist who doesn't just design systems on whiteboards but builds them.
• This is a role for someone who can architect AI platforms end-to-end and then roll up their sleeves to write production code, wire up agents, and ship real solutions.
• You will define the AI architecture across cloud providers and AI frameworks, and personally drive critical builds from prototype to production.
• If you thrive at the intersection of deep technical execution and architectural ownership, this role is for you.

Key Responsibilities

• Define and own AI solution architecture across cloud platforms (AWS, Google Cloud Platform, Azure), ensuring scalability, security, and cost-efficiency
• Hands-on development — personally design, build, and ship AI-powered applications, agents, and pipelines; this is not a slide-deck role
• Architect and implement agentic AI systems using frameworks such as LangChain and LangGraph, from design through deployment
• Lead full-stack engineering efforts encompassing Python and Node.js services, APIs, front-end interfaces, and data pipelines that power AI products
• Evaluate, integrate, and operationalize foundation models from providers including Anthropic (Claude), OpenAI, Hugging Face, and AWS Bedrock
• Establish MLOps and AgentOps practices — CI/CD for models, monitoring, drift detection, automated retraining, and agent lifecycle management
• Champion Responsible AI by embedding governance, fairness, and explainability tooling (e.g., Credo AI, Fiddler) into the development workflow
• Drive adoption of AI-native developer tools (e.g., GitHub Copilot, Devin, Windsurf) to accelerate engineering velocity across the team
• Collaborate with cross-functional teams, translating business requirements into robust AI architectures and guiding engineers through implementation
• Communicate technical direction clearly to leadership, clients, and cross-functional stakeholders

Required Skills & Experience

• 15+ years in software engineering with at least 3 years in architect or senior technical lead roles focused on AI/ML systems
• Proven hands-on builder — demonstrated ability to personally architect and develop production-grade AI applications, not just oversee them
• Deep proficiency in Python for AI/ML development (model integration, data processing, API development)
• Strong full-stack engineering skills — comfortable building end-to-end solutions including backend services, APIs, and front-end interfaces
• Production experience with all three major cloud AI platforms: AWS Bedrock, Azure AI, and Google Cloud Platform Vertex AI
• Hands-on experience building agentic AI systems using LangChain, LangGraph, or equivalent orchestration frameworks
• Deep working knowledge of foundation model providers — Anthropic, OpenAI, and Hugging Face — including prompt engineering, fine-tuning, RAG architectures, and open-source model hosting
• MLOps expertise — model versioning, experiment tracking, automated pipelines, monitoring, and production model lifecycle management
• AgentOps proficiency — monitoring, debugging, and managing autonomous AI agents in production throughout their full lifecycle
• Node.js / TypeScript experience for building AI-powered backend services or full-stack applications alongside Python
• Responsible AI tooling — hands-on experience with Credo AI (AI governance) and Fiddler (model monitoring and explainability)
• GitHub Copilot power-user experience with a track record of driving AI-assisted development adoption
• Hands-on use of AI-native development tools such as Devin, Windsurf, or similar AI coding assistants to accelerate delivery
• Excellent communication skills — ability to translate complex technical concepts for leadership and non-technical audiences
• Experience collaborating with and mentoring engineers in fast-paced, delivery-oriented environments