AI Solutions Architect

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Lean Tech

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B2B • Recruitment • SaaS

Lean Tech is a staff augmentation company that specializes in offering businesses the talent and support they need through a proven nearshore and offshore model. The company helps in establishing remote satellite offices in Latin America and the Philippines, building mission-critical teams across various business functions such as operations, technology, marketing, and sales. Lean Tech focuses on workforce optimization, providing tailored solutions to align people, processes, and technology to enhance customer experiences while minimizing costs. The company also emphasizes social impact by engaging in corporate social responsibility initiatives.

501 - 1000 employees

🤝 B2B

🎯 Recruiter

☁️ SaaS

📋 Description

• Manage, mentor, and develop a team of engineers, fostering a culture of innovation, continuous improvement, and high performance in a .NET-centric AI environment. • Define the overall system architecture for AI initiatives, ensuring solutions are scalable, secure, and align with enterprise technology standards using microservices, REST APIs, and cloud-native principles on Azure. • Lead the design and coding of Generative AI applications and prompt libraries to support internal PLS Developers, specifically creating tools that: • Generate Unit Tests for internally developed projects. • Generate documentation/Wikis/summaries for internal projects. • Generate persistence layer code following existing documented patterns. • Architect and implement Azure AI Vision solutions to examine and extract data from documents, specifically: • Identifications: Identify ID types (Passport, Matricula, Cedula, Driver’s License), determine country/state of issuance, and extract labeled data (Name, DOB, ID number, Expiration). • Checks: Process images of payroll, government, and personal checks to extract data (Maker, Payee, Amount, Date) and analyze background elements. • Establish and oversee the AI integration lifecycle, focusing on Prompt Engineering, API integration, and MLOps for deployment and monitoring (using Azure OpenAI Service and Azure AI Vision) rather than model training. • Collaborate with business stakeholders to identify high-impact AI opportunities, defining requirements for tools that integrate seamlessly with existing .NET and Angular applications. • Provide technical thought leadership, staying current with advancements in Azure AI Services and tooling, and guiding the company's strategic direction in artificial intelligence integration. • Manage resource allocation, project timelines, and the delivery of AI solutions, ensuring adherence to budget, quality, and regulatory parameters. • Develop and enforce best practices for AI integration, including code quality in C#, prompt engineering standards, and ethical AI principles.

🎯 Requirements

• Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience. • 5+ years of strong hands-on experience in software engineering within the .NET ecosystem (C#), with a proven track record of transitioning into or working with AI integrations. • Proven experience leading, managing, or mentoring a team of software engineers. • Expertise in designing and building scalable, enterprise-grade applications as a Technical or Solution Architect, utilizing microservices, REST APIs, and cloud-native principles on the Azure platform. • Strong proficiency in the .NET framework and C# programming language (Must be able to actively maintain, debug, and develop components). • Hands-on experience developing and deploying solutions using Azure AI Services, particularly: Azure AI Vision / Computer Vision: Experience processing images for OCR, field extraction, and classification. • Azure OpenAI Service / Generative AI: Experience creating prompt libraries and integrating LLMs into enterprise workflows. • Advanced knowledge of distributed systems design, Services Oriented Architecture (SOA), API Gateways, and loosely coupled messaging. • Experience with the end-to-end lifecycle of AI integration projects, from requirements gathering to prompt engineering, API consumption, deployment, and monitoring. • Proficiency with Azure platform services such as App Services, Service Bus, Cosmos DB, and SQL. • Familiarity with front-end development using Angular (to understand architecture and facilitate integration) and reporting with SSRS. • Experience with various AI domains, specifically focusing on AI Automation and process enhancement.

🏖️ Benefits

• Professional development opportunities with international customers • Collaborative work environment • Career path and mentorship programs that will lead to new levels