Senior Python & GenAI Solutions Architect - Remote

Provectus; United States; Remote; USD 120,000 - 200,000; Full time

Benefits offered by this job

Remote-friendly culture

Unlimited vacation

Health insurance

401K matching

Job summary

Provectus is a consulting and professional services firm focused on AI/ML solutions. We embed engineers inside client teams to ship production systems, a Forward Deployed delivery model.

We seek a Senior Software Engineer or Solutions Architect with deep Python and Generative AI experience to own technical direction and client communication. Responsibilities include embedding with client teams, designing production-grade Python, building RAG and agentic AI solutions, and leading technical

Qualifications

• 7+ years building and running production systems; hands on production experience is required
• Production experience with RAG systems and LLM based agentic workflows that are live and running, not prototypes
• Backend development experience with Flask, Django REST, or FastAPI
• Recent, hands on experience with AWS (SageMaker, Bedrock, Lambda, ECS, S3, SQS, ECR, or similar); GCP considered
• Experience with LLM APIs (OpenAI, Anthropic Claude, or AWS Bedrock)
• Strong Python proficiency: OOP, design patterns, clean architecture, and performance optimization
• Demonstrated experience making and defending system design and architectural trade off decisions
• Comfortable owning direct communication with client stakeholders, without a project manager relaying the conversation
• Genuine willingness to spend time close to the people who do the job before you design a system to change it
• Strong testing practices: pytest, mocking, and integration tests for AI systems
• Experience with Docker and Kubernetes
• Understanding of LLM evaluation techniques and quality assurance approaches
• Experience deploying and maintaining AI/ML models in production environments
• Already using AI assisted development tools in daily workflow
• Proactive and self directed; you own outcomes end to end
• B2+ English, comfortable collaborating across distributed, multicultural teams

Responsibilities

• Embed with the client team for the length of the engagement, working inside their environment rather than alongside it from a distance
• Spend time with the people who do the job the system is meant to change before you design anything, so the architecture is grounded in how the work actually happens
• Write clean, production grade Python across AI integrations, backend services, and RESTful APIs (Flask, Django, or FastAPI)
• Design, build, and optimize RAG systems and agentic AI solutions running in production, not demos or notebooks
• Own system design and architectural decisions across the engagement: microservices vs monolith, sync vs event driven, SQL vs NoSQL
• Own the technical direction of the engagement from discovery through delivery
• Act as the client's direct technical point of contact: present architecture, defend trade offs, and push back on scope when it does not match timeline or budget
• Support presales activities where relevant, including discovery calls, technical proposals, scoping, and client facing demos
• Lead architecture reviews, produce technical design documents, and contribute to standards across the Python practice
• Feed what you learn back into Provectus's blueprint library, so the next engagement starts further ahead
• Mentor engineers, lead code reviews, and share knowledge across the team

Skills

Python

Generative AI

LLMs

System architecture

Client communication

Pre-sales

Docker

Kubernetes

AWS

REST APIs

Tools

Flask

Django

FastAPI

Job description

Provectus is a consulting and professional services firm focused on AI/ML solutions. We embed engineers inside client teams to ship production systems, a Forward Deployed delivery model.

We seek a Senior Software Engineer or Solutions Architect with deep Python and Generative AI experience to own technical direction and client communication. Responsibilities include embedding with client teams, designing production-grade Python, building RAG and agentic AI solutions, and leading technical