Endava

Information Technology And Services

SeniorAIPlatformEngineer

$800–1300k ~AI est. Monterrey, Nuevo León, Mexico FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for mid candidates.

The Brief

“Senior AI Platform Engineer at Endava. Skills: AI Platform Engineering, MLOps, Generative AI, LLM Applications. Design scalable AI solutions. Develop scalable AI solutions”

Industry & Context.

Information Technology And Services
Problems you'll solve

Pragmatic problem-solving

What They're Looking For.

Must Have

10+ years of experience, Python programming skills, Experience building production-grade backend systems, Hands-on experience with LLM applications, Hands-on experience with generative AI, Hands-on experience with orchestration frameworks, Experience designing RAG architectures, Experience implementing RAG architectures, Experience designing vector search solutions, Experience implementing vector search solutions, Solid understanding of cloud-native architectures, Solid understanding of public cloud platforms, Experience with containers, Experience with orchestration technologies, Experience working with APIs, Experience working with microservices, Experience working with distributed systems, Experience working with event-driven architectures, Understanding of software engineering best practices, Advanced English communication skills

Nice to Have

Experience with AI governance, Experience with evaluation frameworks, Experience with responsible AI practices, Knowledge of vector databases, Knowledge of embedding pipelines, Experience with workflow automation platforms, Experience with orchestration platforms, Exposure to multi-agent systems, Exposure to autonomous AI workflows, Experience building internal developer platforms, Experience building AI enablement tooling, Certifications in cloud technologies, Certifications in AI technologies, Certifications in machine learning technologies, Experience in financial services, Experience in enterprise-scale environments

What You'll Do.

Design scalable AI solutions

Develop scalable AI solutions

Deploy scalable AI solutions

Build AI platform capabilities

Maintain AI platform capabilities

Develop RAG pipelines

Optimize RAG pipelines

Integrate LLM providers

Integrate AI services

Orchestrate LLM providers

Orchestrate AI services

Create reusable AI services

Create reusable platform components

Implement observability strategies

Implement evaluation strategies

Implement monitoring strategies

Collaborate to define AI use cases

Collaborate to define technical requirements

Collaborate to define delivery roadmaps

Contribute to MLOps practices

Contribute to AI Ops practices

Ensure AI solutions meet enterprise standards

Contribute to technical growth

Stay up to date with AI technologies

Stay up to date with AI frameworks

Stay up to date with industry trends

How You'll Work.

Team & Collaboration

Cross-functional teams; Engineering teams; Product teams; Data teams; Architecture teams; Broader engineering organization

Communication Scope

English communication

Process & Methodology

Roadmap planning

Full Job Description

Technology is our how. And people are our why. For over two decades, we have been harnessing technology to drive meaningful change. By combining world-class engineering, industry expertise and a people-centric mindset, we consult and partner with leading brands from various industries to create dynamic platforms and intelligent digital experiences that drive innovation and transform businesses. From prototype to real-world impact - be part of a global shift by doing work that matters. We are looking for a highly skilled and hands-on Senior AI Engineer / AI Platform Engineer to join our technology organization and help accelerate the adoption of scalable AI capabilities across the business. This role combines strong expertise in AI solution engineering with deep understanding of AI platform architecture, MLOps, cloud infrastructure, and production-grade AI systems. The ideal candidate will be capable of designing, building, deploying, and operating AI-powered solutions end-to-end while contributing to the evolution of our internal AI platform ecosystem. You will work closely with engineering, product, data, and architecture teams to deliver secure, scalable, observable, and business-oriented AI solutions leveraging LLMs, RAG pipelines, AI agents, and modern cloud-native architectures. This is a key role for someone passionate about turning AI innovation into reliable enterprise capabilities. Key Responsibilities * Design, develop, and deploy scalable AI solutions using modern AI/ML frameworks and LLM technologies. * Build and maintain AI platform capabilities that enable rapid experimentation, deployment, monitoring, and governance of AI workloads. * Develop and optimize Retrieval-Augmented Generation (RAG) pipelines and AI agents for enterprise use cases. * Integrate and orchestrate LLM providers and AI services (OpenAI, Anthropic, Azure OpenAI, etc.). * Create reusable AI services, APIs, SDKs, and platform components for internal engineering teams. * Implement obse

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