AI & Apps Solution Engineer

Technology, Data & Digital · Data, AI & Analytics · Data Science · Machine Learning · Artificial Intelligence

In short

As an AI & Apps Solution Engineer, you will be a strategic advisor to enterprise customers, guiding them through AI transformation using Microsoft's Azure AI and Application Platform portfolio. You will lead customer engagements from vision to deployment, influencing technology strategy with executives and driving adoption of cutting-edge AI solutions while ensuring responsible implementation.

Responsibilities

Lead technical discovery workshops, architecture reviews, solution envisioning sessions, demonstrations, and proof-of-concept engagements to define AI and application modernization strategies.
Design innovative solutions leveraging Azure AI, Azure AI Foundry, Azure OpenAI, Microsoft Copilot, AI Agents, Power Platform, and modern application development platforms to solve complex business challenges.
Help customers modernize applications, adopt cloud-native architectures, and improve agility, scalability, productivity, and business outcomes.
Influence technical and business decision-makers by articulating solution value, technical strategy, architecture recommendations, and long-term transformation roadmaps.
Accelerate customer adoption by addressing technical blockers, implementation challenges, architectural considerations, governance requirements, and deployment readiness.
Drive complex technical wins through architecture design sessions, technical validation activities, solution demonstrations, and alignment of Microsoft technologies with customer objectives.
Collaborate with sales, customer success, product engineering, partners, and industry specialists to achieve customer business outcomes and successful solution deployment.
Contribute technical thought leadership through reusable assets, customer presentations, industry events, workshops, and peer coaching.
Stay current on emerging AI technologies, modern application development trends, cloud innovation, and industry insights to maximize customer innovation opportunities.
Serve as a trusted technical advisor helping customers turn AI investments into measurable business value while accelerating adoption of Microsoft AI and application platform capabilities.

Requirements

Master's Degree in Computer Science, Information Technology, or related field AND 4+ years technical pre-sales or technical consulting experience OR Bachelor's Degree in Computer Science, Information Technology, or related field AND 6+ years technical pre-sales or technical consulting experience OR 7+ years technical pre-sales or technical consulting experience OR equivalent experience.
6+ years experience with cloud and hybrid, or on premises infrastructures, architecture designs, migrations, industry standards, and/or technology management.
Proficiency in written, reading, and conversational Brazilian Portuguese and English.

Desired Qualifications

Proficiency in written, reading, and conversational Spanish.
Extensive experience designing, architecting and implementing enterprise-scale complex Artificial Intelligence solutions using Microsoft Azure, Azure AI Foundry, Azure OpenAI Service, Microsoft Copilot Studio, Power Platform, Azure AI Search, Azure AI Machine Learning, Azure AI Vision, Azure AI Document Intelligence, Azure AI Speech, Azure AI Language, and related Microsoft AI technologies.
Deep Hands-On demonstrated expertise building POCs/MVPs for Agentic AI solutions, including AI Agents, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), MCPs, orchestration frameworks, multi-agent architectures, prompt engineering, knowledge grounding, conversational AI, and intelligent automation solutions.
Extensive experience developing, architecting, deploying, and operating AI-powered applications in production environments with a strong focus on scalability, reliability, observability, governance, security, and responsible AI practices.
Extensive expertise with Machine Learning, Generative AI, Predictive Analytics, Natural Language Processing, Computer Vision, Image Processing, Document Intelligence, and Automation solutions.
Knowledge of cloud-native application development, modern software engineering practices, DevOps, platform engineering, containers, Kubernetes, APIs, microservices, and enterprise application architecture.
Extensive experience leading enterprise Data & AI transformation initiatives, application modernization programs, cloud transformation projects, and digital transformation consulting engagements.
The following Microsoft certifications are highly preferred: AI-103 Azure AI Apps and Agents Developer Associate, AI-200 Azure AI Cloud Developer Associate, AI-300 Operationalizing Machine Learning and Generative AI Solutions, GitHub Copilot, DP-800 SQL AI Developer Associate, DP-420 Azure Cosmos DB Developer, SC-200 Security Operations Analyst Associate, SC-500 Cloud and AI Security Engineer Associate.

Benefits

Microsoft is an equal opportunity employer.
All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances.
Assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process is available.

Skills

Azure AIMicrosoft CopilotPower PlatformAzure Machine LearningGenerative AIMachine LearningAgentic AILarge Language ModelsRetrieval-Augmented GenerationDevOpsKubernetesAPIsMicroservicesCloud-native developmentGitHub Copilot

#AI#Apps#Solution Engineering#Technology Sales#Enterprise Customers#AI Transformation#Azure AI#Azure OpenAI#Microsoft Copilot#AI Agents#Power Platform#Azure Machine Learning#Application Modernization#Digital Transformation#Technical Leader#CIO#CTO#Enterprise Architects#Generative AI#Responsible AI#Thought Leadership

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