Endava
Information Technology And Services
SeniorAIPlatformEngineer
Neural analysis suggests this role is
optimal for mid candidates.
“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.
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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