Remote Senior AI Architect

Conch Technologies, Inc.; Minnesota; À distance; USD 180 000 - 260 000; Plein temps

Résumé du poste

Conch Technologies, Inc. is seeking a Senior AI Architect who can both design AI platforms and write production code. You will own end-to-end AI architecture across AWS, Azure, and GCP, and personally drive critical builds from prototype to production.

You will lead hands-on development of AI-powered applications, agents, and data pipelines, while shaping governance, MLOps, and responsible AI practices in a fast-paced, collaborative environment.

Qualifications

• 15+ years in software engineering with AI/ML focus.
• Hands-on architect who writes production code.
• Deep Python expertise for AI/ML development.
• Strong experience across AWS/Azure/GCP AI platforms.
• Experience with agent-based AI systems and orchestration.
• Proven ability to translate business requirements into scalable AI architectures.

Responsabilités

• Define end-to-end AI solution architecture across cloud platforms.
• Hands-on design, build, and ship AI-powered applications and pipelines.
• Architect agentic AI systems using LangChain/LangGraph.
• Lead full-stack efforts (Python/Node.js) powering AI products.
• Evaluate and operationalize foundation models from major providers.
• Establish MLOps and AgentOps practices including CI/CD and monitoring.
• Champion Responsible AI with governance and explainability tooling.
• Drive adoption of AI-native development tools across the team.
• Translate business requirements into robust AI architectures for engineers.

Connaissances

Python for AI/ML

Full-stack development

MLOps

Cloud platforms

AI architecture

Strong communication

Node.js/TypeScript

Outils

LangChain

LangGraph

Anthropic Claude

OpenAI

Hugging Face

AWS Bedrock

GCP Vertex AI

Credo AI

Fiddler

GitHub Copilot

Devin

Windsurf

Description du poste

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, GCP, 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 GCP 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

Thanks & Regards,
Jeeva K (Sr Technical Recruiter)
[e-mail]| 901-466-4709
Conch Technologies, Inc | www.conchtech.com