AI Cloud Solution Architect & Engineer
Neurons LabWarszawa, Województwo mazowieckie, Polska25 days ago
Job descriptionDesign and document 3+ solution architectures per month with comprehensive diagrams and specifications Achieve 80%+ client acceptance rate on proposed architectures and estimates Deliver ROI calculations and cost models within 2 business days of request Deploy infrastructure through IaC (AWS CDK / Terraform) with zero manual configuration Create at least 3 reusable IaC components or architectural patterns per quarter Implement CI / CD pipelines for all projects with automated testing and deployment Maintain 95%+ uptime for production AI / ML inference endpoints Document architecture and implementation details weekly for knowledge sharing Ensure all solutions pass AWS Well‑Architected Review standards Deliver comprehensive documentation within 1 week of architecture completion Create simplified UIs / demos for PoC validation and client presentations Elicit and document business and technical requirements from clients Design end‑to‑end cloud architectures for AI / ML solutions (training, inference, data pipelines) Create architecture diagrams, technical specifications, and implementation roadmaps Evaluate technology options and recommend optimal AWS services for specific use cases Calculate ROI, TCO, and cost‑benefit analysis for proposed solutions Estimate project scope, timelines, team composition, and resource requirements Participate in presales activities : technical presentations, demos, and proposal support Collaborate with sales team on SOW creation and customer workshops Design for scalability, security, compliance, and cost optimization from day one Create reusable architectural patterns and reference architectures Stay current with AWS AI / ML services and emerging cloud technologies Build and maintain cloud infrastructure using AWS CDK (primary) and Terraform Develop reusable IaC components and modules for common patterns Implement infrastructure for AI / ML workloads : GPU clusters, model serving, data lakes Manage compute resources : EC2, ECS, EKS, Lambda, SageMaker compute instances Develop Python applications : FastAPI backends, data processing scripts, automation tools Create prototype interfaces using Streamlit, React, or similar frameworks Build and integrate RESTful APIs for AI model serving and data access Implement authentication, authorization, and API security best practices Deploy and manage AI / ML model serving infrastructure (SageMaker endpoints, containerized models) Build ML pipelines : data ingestion, preprocessing, training automation, model deployment Implement model versioning, experiment tracking, and A / B testing frameworks Manage GPU resource allocation, training job scheduling, and compute optimization Monitor model performance, inference latency, and system health metrics Design and implement CI / CD pipelines using GitHub Actions, GitLab CI, or AWS CodePipeline Automate deployment processes with infrastructure testing and validation Implement monitoring, logging, and alerting using CloudWatch, Prometheus, Grafana Manage containerization with Docker and orchestration with Kubernetes / ECS Build data pipelines for AI training and inference using AWS Glue, Step Functions, Lambda Design and implement data lakes using S3, Lake Formation, and data cataloging Implement automated and scheduled data synchronization processes Optimize data storage and retrieval for ML workloads Implement cloud security best practices : IAM, VPC design, encryption, secrets management Build enterprise security and compliance strategies for AI / ML workloads Ensure solutions meet regulatory requirements (PCI‑DSS, GDPR, SOC2, MAS TRM, etc where applicable) Conduct security reviews and implement remediation strategies Optimize cloud spend for compute‑intensive AI workloads Implement spot instance strategies, auto‑scaling, and resource scheduling Monitor and optimize GPU utilization, inference latency, and throughput Perform cost analysis and implement cost‑saving measures Implement disaster recovery procedures for AI models and training data Manage backup strategies and business continuity planning Troubleshoot and resolve production issues in AI infrastructure Provide technical guidance to project teams during implementation Strong solution architecture skills with ability to translate business requirements into technical designs Experience in Well‑Architected review and remediation Deep understanding of AWS services, particularly compute, storage, networking, and AI / ML services Experience designing scalable, highly available, and fault‑tolerant systems Ability to create clear architecture diagrams and technical documentation Cost modeling and ROI calculation capabilities Comfortable leading technical discussions with clients and stakeholders Ability to guide engineers and share knowledge effectively Strong problem‑solving and analytical thinking skills Experience with architectural decision‑making and trade‑off analysis Advanced Python programming : object‑oriented design, async programming, testing API development with FastAPI, Flask, or similar frameworks Frontend development basics : React, etc. (for prototypes and demos with AI code generation tools) Shell scripting for automation and deployment Git version control and collaborative development workflows AWS CDK (required) - CloudFormation experience is valuable Terraform (highly preferred) for multi‑cloud or hybrid scenarios Understanding of IaC best practices : modularity, reusability, testing Experience with infrastructure testing and validation frameworks Hands‑on experience with AWS SageMaker : training jobs, endpoints, pipelines, notebooks Understanding of ML lifecycle : data preparation, training, deployment, monitoring Experience with GPU management and optimization for training / inference Knowledge of containerization for ML models (Docker, container registries) Familiarity with ML frameworks : PyTorch, TensorFlow, LangChain, Llamaindex, etc CI / CD pipeline design and implementation (GitHub Actions, GitLab CI, AWS CodePipeline) Container orchestration : Docker, Kubernetes, Amazon ECS Configuration management and deployment automation Monitoring and observability : CloudWatch, Prometheus, Grafana, ELK stack Excellent written and verbal communication in Advanced English Ability to explain complex technical concepts to non‑technical stakeholders Comfortable with client‑facing presentations and technical demos Strong documentation skills with attention to detail Collaborative mindset with ability to work across functional teams Advanced task breakdown and estimation abilities Debugging and troubleshooting complex distributed systems Performance optimization and tuning Incident response and root cause analysis AWS Certified Solutions Architect Associate (minimum requirement) AWS Certified Solutions Architect Professional or AWS Certified Machine Learning - Specialty (highly preferred) Deep knowledge of core AWS services : Storage : S3, EFS, EBS, FSx Networking : VPC, Route53, CloudFront, API Gateway, Load Balancers AI / ML : SageMaker, Bedrock, Rekognition, Textract, Comprehend, Lex, Polly Data : RDS, DynamoDB, Redshift, Glue, Athena, Kinesis Security : IAM, KMS, Secrets Manager, Security Hub, GuardDuty DevOps : GitHub Action, CodePipeline, CodeBuild, CodeDeploy, CloudFormation, CDK, Terraform Understanding of machine learning concepts and model training / deployment lifecycle Familiarity with Generative AI technologies : LLMs, RAG, vector databases, prompt engineering Knowledge of ML frameworks and libraries : PyTorch, TensorFlow, scikit‑learn, pandas, numpy Experience with MLOps practices and tools Understanding of model serving patterns : real‑time vs batch inference Modern software development practices : testing, code review, documentation API design principles : RESTful, GraphQL, event‑driven architectures Database design and optimization : SQL and NoSQL Authentication and authorization : OAuth, JWT, IAM Linux / UNIX system administration Networking fundamentals : TCP / IP, DNS, HTTP / HTTPS, load balancing Security best practices for cloud environments Disaster recovery and business continuity planning Understanding of cloud consulting delivery models Familiarity with agile / scrum methodologies Awareness of compliance frameworks : GDPR, HIPAA, SOC2, ISO27001 Knowledge of FinTech, or other regulated industries (plus) Azure or GCP certifications and experience Multi‑cloud architecture patterns Serverless architecture patterns Data engineering and data lake design Cost optimization strategies and FinOps practices 5+ years in cloud engineering, DevOps, or solution architecture roles 3+ years hands‑on experience with AWS services and architecture Proven track record of designing and implementing cloud solutions from scratch Experience with both greenfield projects and cloud migration initiatives 2+ years working with AI / ML workloads on cloud platforms Hands‑on experience deploying and managing ML models in production Experience with GPU‑based compute for training or inference Understanding of AI / ML infrastructure challenges and optimization techniques 3+ years building infrastructure using IaC tools (AWS CDK, Terraform, CloudFormation) Experience creating reusable IaC modules and components Track record of infrastructure automation and standardization 4+ years programming experience in Python (required) Experience building APIs with FastAPI, Flask, or similar frameworks History of creating prototypes, MVPs, or PoC applications Comfortable with full‑stack development for demos and prototypes 3+ years implementing CI / CD pipelines and deployment automation Experience with containerization (Docker) and orchestration (Kubernetes / ECS) Linux / UNIX system administration experience Monitoring and observability implementation Experience gathering requirements and translating them into technical solutions History of presenting technical architectures to clients and stakeholders Participation in presales activities, demos, or technical workshops Ability to work directly with customers to solve complex problems Consulting or professional services background Experience in regulated industries (FinTech, Insurance, Banks) Work with enterprise clients on large‑scale implementations Startup or fast‑paced environment experience
1 day ago Be among the first 25 applicants
Get AI-powered advice on this job and more exclusive features.
About The Project
Join Neurons Lab as an AI Cloud Solution Architect & Engineer - a unique hybrid role combining strategic solution design with hands‑on engineering execution. You'll bridge the gap between client requirements and technical implementation, designing AI / ML architectures and then building them yourself using modern cloud infrastructure practices.
Our Focus
We specialize in serving Banking, Financial Services, and Insurance (BFSI) enterprise customers with stringent compliance, security, and regulatory requirements. You'll work on mission‑critical AI / ML systems where security architecture, data governance, and regulatory compliance are paramount.
This role is perfect for technical professionals who love both the "what" and the "how" - architecting elegant solutions AND rolling up their sleeves to code, deploy, and optimize them. You'll work across multiple AI consulting engagements, from Generative AI workshops to enterprise ML platform development, all while maintaining the highest standards of security and compliance required by financial institutions.
Duration
Part‑time long‑term engagement with project‑based allocations.
Reporting
Direct report to Head of Cloud.
Objective
Deliver end‑to‑end AI cloud solutions by combining architectural excellence with hands‑on engineering capabilities :
- Architecture & Design : Gather requirements, design cloud architectures, calculate ROI, and create technical proposals for AI / ML solutions
- Engineering Excellence : Build production‑grade infrastructure using IaC, develop APIs and prototypes, implement CI / CD pipelines, and manage AI workload operations
- Client Success : Transform business requirements into working solutions that are secure, scalable, cost‑effective, and aligned with AWS best practices
- Knowledge Transfer : Create reusable artifacts, comprehensive documentation, and architectural patterns that accelerate future project delivery
KPI
Architecture & Pre‑Sales
Engineering Delivery
Quality & Best Practices
Areas of Responsibility
Solution Architecture (40%)
Requirements & Design
Business Analysis
Strategic Planning
Cloud Engineering & AI Infrastructure (60%)
Infrastructure as Code Development
Application Development
AI / ML Operations (MLOps)
DevOps & Automation
Data Engineering
Security & Compliance
Cost & Performance Optimization
Operations & Support
Skills
Cloud Architecture & Design
Technical Leadership
Programming & Development
Infrastructure as Code
AI / ML Infrastructure
DevOps & Automation
Communication & Collaboration
Problem‑Solving
Knowledge
AWS Cloud Platform (Required)
Compute : EC2, Lambda, ECS, EKS, SageMaker
AI / ML Technologies
Software Development
DevOps & Infrastructure
Industry Knowledge
Additional Knowledge (Preferred)
Experience
Cloud Engineering & Architecture
AI / ML Infrastructure
Infrastructure as Code
Software Development
DevOps & Automation
Client‑Facing Work
Industry Experience (Preferred)
Seniority level
Mid‑Senior level
Employment type
Part‑time
Job function
Engineering and Information Technology
IT Services and IT Consulting
Referrals increase your chances of interviewing at Neurons Lab by 2x
Sign in to set job alerts for “Solutions Architect” roles.
Warsaw, Mazowieckie, Poland 10 months ago
Solutions Architect (Insurance) - Fully Remote
Product Architect (Architecture) - Cashless Expertise
Cloud Infrastructure Architect / Tech Lead
Information Systems - Open Source Technical Architect
Data Solution Architect – pharmaceutical industry
Cloud & IoT Solutions Architect - .NET, Azure
We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-Ljbffr
Create a job alert for this search
Solution Architect • Warszawa, Województwo mazowieckie, Polska
Related jobs
- Promoted
AI Cloud Architect
LingaroWarszawa, Województwo mazowieckie, Polska Be among the first 25 applicants.Get AI-powered advice on this job and more exclusive features.Growth through diversity, equity, and inclusion.
As an ethical business, we do what is right — includin...Show moreLast updated: 30+ days ago
- Promoted
Solution Architect
ERGO Technology & Services S.A.Warszawa, Masovian, Poland CCoE’s strategic cloud landing zones and service offerings.Enterprise Architecture, Service Management, IT Risk & Security to continuously improve our strategic cloud landing zones.AWS, Azure), wit...Show moreLast updated: 30+ days ago
- Promoted
Cloud Solution Architect- Data
Microsoft CorporationWarszawa, Województwo mazowieckie, Polska With more than45,000 employeesand partners worldwide, the Customer Experience and Success (CE&S) organization is on a mission to empower customers to accelerate business value through differentiate...Show moreLast updated: 30+ days ago
- Promoted
Cloud & AI Solution Engineer – Data Platform
MicrosoftWarszawa, Województwo mazowieckie, Polska Are you insatiably curious, deeply passionate about the realm of databases and analytics, and ready to tackle complex challenges in a dynamic environment in the era of AI? If so, we invite you to j...Show moreLast updated: 30+ days ago
- Promoted
Solution Architect @ Addepto
AddeptoWarsaw, Poland ROI-focused AI solutions for some of the world’s largest enterprises and pioneering startups, including Rolls Royce, Continental, Porsche, ABB, and WGU.
With our exclusive focus on Artificial Intell...Show moreLast updated: 4 days ago
- Promoted
Solution Architect
Link GroupWarszawa, PL You will be joining the team as a senior IDAM Architect working on Digital Identity which focuses on CIAM Federated Authentication and Identity data management solutions.
You will impact assess new ...Show moreLast updated: 13 days ago
- Promoted
Cloud Solution Architect- Data
MicrosoftWarszawa, Województwo mazowieckie, Polska With more than 45,000 employees and partners worldwide, the Customer Experience and Success (CE&S) organization is on a mission to empower customers to accelerate business value through differentia...Show moreLast updated: 30+ days ago
- Promoted
Lead Cloud Architect Analytics & AI Plat @ Bayer
BayerWarszawa, Poland At Bayer we’re visionaries, driven to solve the world’s toughest challenges and striving for a world where ,Health for all, Hunger for none’ is no longer a dream, but a real possibility.We’re doing...Show moreLast updated: 30+ days ago
- Promoted
Solution Architect
Atos Poland Global Services Sp. z o.o.Warszawa, Masovian, Poland Data integration and processing.We are looking for Senior Solution Architect (with more than 7 years of experience) who possess solid technical expertise and fluent English, to work on critical pro...Show moreLast updated: 30+ days ago
- Promoted
Lead GenAI Engineer & Architect (Azure) @ hubQuest
hubQuestWarsaw, Poland We are a team of experts, bringing together top IT and analytics talent.Our mission is to provide solutions through our flagship service — building tech teams from scratch and strengthening existin...Show moreLast updated: 18 days ago
- Promoted
- New!
Solution Architect for distributed AI Systems (m / f)
Bosch PolskaWarszawa, Województwo mazowieckie, Polska In this role as Solution Architect, you will be at the forefront of our digital innovation, shaping how we leverage artificial intelligence, large language models (LLMs) and autonomous agents to so...Show moreLast updated: 20 hours ago
- Promoted
Lead AI Solutions Architect @ Bayer
BayerWarsaw, Poland At Bayer we’re visionaries, driven to solve the world’s toughest challenges and striving for a world where ,Health for all, Hunger for none’ is no longer a dream, but a real possibility.We’re doing...Show moreLast updated: 30+ days ago
- Promoted
Lead AI Solution Architect
BayerWarszawa, Województwo mazowieckie, Polska At Bayer we’re visionaries, driven to solve the world’s toughest challenges and striving for a world where “Health for all, Hunger for none” is no longer a dream, but a real possibility.We’re doing...Show moreLast updated: 30+ days ago
- Promoted
Senior Solution Architect –Analytics & AI Applications @ Bayer
BayerWarsaw, Poland For Digital Hub Warsaw, we are looking for : .Senior Solution Architect –Analytics & AI Applications.The Data Assets, Analytics & AI team at Bayer Consumer Health focuses on bringing digital ...Show moreLast updated: 30+ days ago
- Promoted
AI Solution Architect
GFT GroupWojewództwo mazowieckie, Polska AI and machine learning technologies.You will advise stakeholders and translate business and functional requirements into secure, scalable, and intelligent software solutions that leverage AI capab...Show moreLast updated: 5 days ago
- Promoted
Solution Architect with Cloud (Azure)
GFT TECHNOLOGIES SEWarszawa, Województwo mazowieckie, Polska Select how often (in days) to receive an alert : .Solution Architect with Cloud (Azure).Warszawa, PL, 00-839 Łódź, PL, 90-118 Kraków, PL, 30-302 Poznań, WP, PL, 61-569.
We are looking for a skilled So...Show moreLast updated: 21 days ago
- Promoted
AI Solution Architect
Sii Sp. z o.o.Warszawa, Masovian, Poland We are looking for an AI Solution Architect with a comprehensive understanding of AI technologies, including classical machine learning, deep learning, and recent advancements in generative AI.The ...Show moreLast updated: 9 days ago
- Promoted
Solution Architect
SQUARE ONE RESOURCES sp. z o.o.Warszawa, Masovian, Poland Define and maintain the solution and functional architecture of BC2 (including integrations, reporting, and future scalability).
Ensure BC2 architecture aligns with project-wide goals, capability ob...Show moreLast updated: 30+ days ago