Senior AI Platform Engineer

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 observability evaluation and monitoring strategies for AI systems and model performance.
• Collaborate with cross-functional teams to define AI use cases technical requirements and delivery roadmaps.
• Contribute to MLOps and AI Ops practices including CI/CD pipelines model lifecycle management infrastructure automation and governance.
• Ensure AI solutions meet enterprise standards for security scalability resilience compliance and cost efficiency.
• Drive best practices around prompt engineering model evaluation guardrails and responsible AI.
• Mentor engineers and contribute to the technical growth of the broader engineering organization.
• Stay up to date with emerging AI technologies frameworks and industry trends.

Qualifications :

• Bachelors or Masters degree in Computer Science Software Engineering Data Science or related field.
• 5 years of experience in software engineering AI engineering ML engineering or platform engineering roles.
• Strong programming skills in Python and experience building production-grade backend systems.
• Hands-on experience with LLM applications generative AI and orchestration frameworks such as LangChain LangGraph Semantic Kernel or similar.
• Experience designing and implementing RAG architectures and vector search solutions.
• Solid understanding of cloud-native architectures and public cloud platforms (AWS Azure or GCP).
• Experience with containers and orchestration technologies such as Docker and Kubernetes.
• Familiarity with MLOps practices CI/CD automation infrastructure-as-code and observability tooling.
• Experience working with APIs microservices distributed systems and event-driven architectures.
• Strong understanding of software engineering best practices including testing version control and secure development.
• Excellent communication and collaboration skills.
• Advanced English communication skills.

Nice to Have

• Experience with AI governance evaluation frameworks and responsible AI practices.
• Knowledge of vector databases and embedding pipelines.
• Experience with workflow automation/orchestration platforms such as N8N or Airflow.
• Exposure to multi-agent systems and autonomous AI workflows.
• Experience building internal developer platforms or AI enablement tooling.
• Certifications in cloud AI or machine learning technologies.
• Experience in financial services or enterprise-scale environments.

What We Value

• Ownership mindset and strong delivery orientation.
• Pragmatic problem-solving skills.
• Passion for innovation balanced with engineering discipline.
• Collaborative leadership and mentoring capabilities.
• Curiosity and continuous learning.
• Ability to thrive in fast-evolving technology environments.

Additional Information :

Discover some of the global benefits that empower our people to become the best version of themselves:

• Finance: Competitive salary package share plan company performance bonuses value-based recognition awards referral bonus;  
• Career Development: Career coaching global career opportunities non-linear career paths internal development programmes for management and technical leadership;
• Learning Opportunities: Complex projects rotations internal tech communities training certifications coaching online learning platforms subscriptions pass-it-on sessions workshops conferences;
• Work-Life Balance: Hybrid work and flexible working hours employee assistance programme;
• Health: Global internal wellbeing programme access to wellbeing apps;
• Community: Global internal tech communities hobby clubs and interest groups inclusion and diversity programmes events and celebrations.

At Endava were committed to creating an open inclusive and respectful environment where everyone feels safe valued and empowered to be their best. We welcome applications from people of all backgrounds experiences and perspectivesbecause we know that inclusive teams help us deliver smarter more innovative solutions for our customers. Hiring decisions are based on merit skills qualifications and potential. If you need adjustments or support during the recruitment process please let us know.

Remote Work :

No

Employment Type :

Full-time