AI Architect

Luxoft; Poland; On-site; PLN 240,000 - 360,000; Full time

Benefits offered by this job

Private Medical & Dental care

Life Insurance

Internal Mobility program

Job summary

Luxoft seeks a senior AI/Cloud Architect to design production-grade LLM orchestration and multi-agent systems in a fast-paced enterprise setting. You will own AWS-based infrastructure, IaC pipelines, and ML tooling, collaborating with product and business stakeholders to convert strategy into scalable solutions.

Responsibilities include architecture, implementation, observability, and mentoring engineers in an agile environment with emphasis on security and reliability.

Qualifications

• 10+ years of professional software development experience.
• Advanced proficiency in Python (asyncio, FastAPI) and TypeScript (Next.js/React, serverless execution layers)
• Hands-on experience building complex, stateful agentic workflows using LangGraph or LangChain
• Proven track record architecting, provisioning, and managing your own production infrastructure on AWS, specifically utilizing ECS Fargate, Lambda, and SQS
• Experience defining cloud architecture programmatically using advanced Infrastructure-as-Code (IaC) tools like AWS CDK or Terraform (Python/TypeScript preferred)
• Experience managing relational databases (preferably Aurora) alongside graph or vector backends (such as Neptune)
• Power-user fluency with advanced command-line AI interfaces (Claude Code CLI, GitHub Copilot CLI) with a deep understanding of prompt engineering and context window management
• Experience operating in an agile setting, deploying and maintaining AI/LLM applications in a live, enterprise-scale production environment
• Accountable for results, with excellent communication skills to mentor engineers and defuse technical friction

Responsibilities

• Lead the architecture and implementation of production-grade LLM orchestration, multi-agent systems, and autonomous coding workflows
• Oversee the development of enterprise Retrieval-Augmented Generation (RAG) pipelines, semantic chunking strategies, and vector database integrations
• Implement strict evaluation and observability frameworks to monitor production latency, API costs, system drift, and model accuracy
• Drive the design, deployment, and ongoing maintenance of secure, scalable, and resilient cloud systems on AWS leveraging ECS Fargate, Lambda, SQS, Aurora, and Neptune
• Own the end-to-end infrastructure lifecycle by embedding robust Infrastructure-as-Code (IaC) and deployment pipelines directly within the development workflow
• Act as the primary technical liaison between business stakeholders, product managers, and the engineering team to translate strategic goals into technical realities

Skills

Python asyncio

TypeScript React

LangGraph LangChain

AWS ECS Fargate

AWS Lambda

SQS

Aurora Neptune

Prompt engineering

Agile

Mentoring engineers

Tools

AWS CDK

Terraform

ECS Fargate

Lambda

SQS

Aurora

Neptune

LangGraph

LangChain

Claude Code CLI

GitHub Copilot CLI

Next.js

FastAPI

Job description

Private Medical & Dental care & Life Insurance covered

Internal Mobility program - possibility of rotation between projects, locations, accounts

...and more!

Project Description:

Luxoft is initiating the development of a solution designed to generate investment insights based on sales and research materials. The solution will leverage advanced Agentic AI capabilities to significantly reduce the time required to prepare for client meetings and improve quality of the insights.

Responsibilities:

• Lead the architecture and implementation of production-grade LLM orchestration, multi-agent systems, and autonomous coding workflows
• Oversee the development of enterprise Retrieval-Augmented Generation (RAG) pipelines, semantic chunking strategies, and vector database integrations
• Implement strict evaluation and observability frameworks to monitor production latency, API costs, system drift, and model accuracy
• Drive the design, deployment, and ongoing maintenance of secure, scalable, and resilient cloud systems on AWS leveraging ECS Fargate, Lambda, SQS, Aurora, and Neptune
• Own the end-to-end infrastructure lifecycle by embedding robust Infrastructure-as-Code (IaC) and deployment pipelines directly within the development workflow
• Act as the primary technical liaison between business stakeholders, product managers, and the engineering team to translate strategic goals into technical realities

Mandatory Skills Description:

• 10+ years of professional software development experience.
• Advanced proficiency in Python (asyncio, FastAPI) and TypeScript (Next.js/React, serverless execution layers)
• Hands-on experience building complex, stateful agentic workflows using LangGraph or LangChain
• Proven track record architecting, provisioning, and managing your own production infrastructure on AWS, specifically utilizing ECS Fargate, Lambda, and SQS
• Experience defining cloud architecture programmatically using advanced Infrastructure-as-Code (IaC) tools like AWS CDK or Terraform (Python/TypeScript preferred)
• Experience managing relational databases (preferably Aurora) alongside graph or vector backends (such as Neptune)
• Power-user fluency with advanced command-line AI interfaces (Claude Code CLI, GitHub Copilot CLI) with a deep understanding of prompt engineering and context window management
• Experience operating in an agile setting, deploying and maintaining AI/LLM applications in a live, enterprise-scale production environment
• Accountable for results, with excellent communication skills to mentor engineers and defuse technical friction

Nice-to-Have Skills Description:

• Highly desirable: experience with AgentCore, AWS Neptune, Amazon API gateway
• Familiarity with ML fundamentals relevant to content generation (embeddings, tokenization, evaluation, fine tuning/LoRA, prompt+retrieval evaluation).