AI Solution Architect

Selecta sas; Roma; In loco; EUR 70.000 - 100.000; Tempo pieno

Descrizione del lavoro

A technology company in Italy is seeking a Senior Solution Architect to lead AI/ML and cloud solutions for clients in the Banking, Financial Services, and Insurance sectors. This role involves significant technical leadership, with a focus on maintaining cloud operations and driving innovative AI implementations. Candidates should possess strong skills in solution architecture, advanced Python programming, and relevant AWS certifications, along with 5+ years of experience in the field.

Competenze

• 5+ years in cloud architecture or cloud engineering roles.
• 2+ years working with AI / ML workloads on cloud platforms.
• Hands-on experience designing and deploying AI or generative AI solutions.

Mansioni

• Lead cloud operations and AI / ML implementations for BFSI clients.
• Streamline processes through automation and cross-functional coordination.
• Design and implement production-grade AI / ML architectures.

Conoscenze

Solution architecture skills

AWS Well-Architected framework expertise

Cloud cost optimization

Advanced Python programming

Infrastructure as Code expertise

Containerization experience

Formazione

AWS Certified Solutions Architect Professional

AWS Certified Machine Learning - Specialty

Strumenti

AWS CDK

Terraform

FastAPI

Docker

Descrizione del lavoro

About The Project

Join Neurons Lab as Senior Solution Architect – a role combining technical AI / ML and Cloud solutions development with cloud department operational leadership. You’ll lead day‑to‑day cloud operations (50%) while leading hands‑on AI / ML implementations for BFSI clients (50%).

Our Focus

We specialize in serving Banking, Financial Services, and Insurance (BFSI) enterprise customers with stringent compliance, security, and regulatory requirements. You’ll architect and build mission‑critical AI / ML systems while ensuring our cloud operations run smoothly – from AWS funding applications to team capacity planning.

Objective

Deliver operational excellence and technical leadership across cloud operations and AI / ML project delivery.

Cloud Operations Management

• Maintain 95%+ AWS funding success rate, coordinate hiring pipeline, execute cloud governance processes, and support AWS/GCP partnership programs.

AI / ML Technical Project Leadership

• Design and implement production‑grade AI / ML architectures on AWS for FSI clients, ensuring well‑architected compliance and security best practices.

Operational Efficiency

• Streamline cloud department processes through automation, capacity planning, and cross‑functional coordination.

Knowledge Transfer

• Create reusable IaC components, architectural patterns, and documentation that accelerate team capability.

Areas of Responsibility

• Prepare funding application materials and communicate with AWS / GCP account teams.
• Coordinate recruitment pipeline: candidate tracking, interview scheduling, capacity planning.
• Execute Well‑Architected Review scheduling and delivery coordination.
• Support competency applications with documentation and evidence collection.
• Design end‑to‑end cloud architectures for AI / ML / agentic solutions.
• Calculate ROI, TCO, and cost‑benefit analysis for proposed AI / ML solutions.
• Build production infrastructure using AWS CDK (primary) and Terraform.
• Develop Python applications: FastAPI backends, MLOps automation, data processing scripts.
• Lead small engineering teams (2‑3 engineers) on project delivery.

Skills

• Solution architecture with ability to translate business requirements into technical designs.
• AWS Well‑Architected framework expertise and remediation experience.
• Cloud cost optimization, credits management, and consumption tracking.
• Advanced Python programming for API development with FastAPI or Flask.
• Deploy infrastructure with Infrastructure as Code (AWS CDK and Terraform).
• Hands‑on experience with AWS Bedrock and Langchain or other AI agentic frameworks.
• Containerization for AI Applications (Docker, ECS, EKS).

Knowledge

• AWS Certified Solutions Architect Professional (required) OR AWS Certified Machine Learning - Specialty (required).
• Working knowledge of AWS Partner Network structure and funding programs.
• Understanding of PoC funding, MAP program, and ISV workload migration.
• Well‑Architected Review process and delivery methodology.
• AWS competency requirements and evidence collection.

Experience

• 5+ years in cloud architecture, solution architecture, or cloud engineering roles.
• 2+ years working with AI / ML workloads on cloud platforms.
• Proven track record designing and implementing cloud solutions from scratch.
• Hands‑on experience deploying and managing AI or generative AI solutions in production.

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