Lead AI/ML Engineer

N-iX is a global software development service company that helps businesses across the globe create next-generation software products. Founded in 2002, we unite 2,400+ tech-savvy professionals across 40+ countries, working on impactful projects for industry leaders and Fortune 500 companies. Our expertise spans cloud, data, AI/ML, embedded software, IoT, and more, driving digital transformation across finance, manufacturing, telecom, healthcare, and other industries. Join N-iX and become part of a team where your ideas make a real impact.

Our client is a leading global healthcare organization, driving innovation in pharmaceuticals, biotechnology, and patient-centric solutions. We develop advanced data and analytics solutions that help global organizations turn complex data into intuitive digital tools, enabling teams to make informed decisions in their daily operations and long-term strategy. Our projects span modern operational applications, interactive dashboards, and advanced analytics platforms designed to deliver actionable insights across multiple business domains.

We are looking for a Lead AI Engineer to drive the design, evaluation, and evolution of AI-powered solutions. In this role, you will focus on building and scaling intelligent systems (including RAG-based and NLP-driven applications), while guiding clients through technical discovery, architecture decisions, and AI adoption strategies.

You will work closely with stakeholders to design and deliver AI-driven solutions that enhance business efficiency, streamline processes, and unlock value from data, while ensuring scalability, quality, and cost-effectiveness.

Responsibilities:

• Design and implement AI-driven systems within Palantir Foundry AIP, including RAG pipelines, LLM-powered applications, and NLP workflows for document understanding and knowledge extraction
• Lead the end-to-end lifecycle of AI solutions, from data ingestion and embedding generation to retrieval, reasoning, and response generation
• Collaborate with AI/ML engineers to productionize models and LLM-based solutions, ensuring reliability, scalability, and performance
• Drive technical discovery and solution assessment, analyzing possible AI implementations, clarifying their architecture, and identifying risks and improvement opportunities
• Evaluate and optimize RAG pipelines, including retrieval quality, chunking strategies, embeddings, and hybrid search approaches
• Assess scalability, multilingual capabilities, and cost-performance trade-offs of AI systems
• Advise on AI architecture evolution, including platform choices, vendor dependencies, and potential migration paths
• Establish best practices for LLMOps / MLOps, including evaluation frameworks, prompt engineering, monitoring, and iterative improvement
• Ensure responsible AI practices, including data governance, security, and compliance considerations
• Mentor engineers and foster collaboration across AI, data, and product teams

Requirements:

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field
• 6+ years of experience in software engineering, with strong exposure to AI/ML systems
• Hands-on experience with LLM-based applications, RAG pipelines, or NLP systems
• Experience building multimodal AI systems, including working with text, documents, images, and/or other data types
• Experience developing AI solutions for multiple languages, including handling multilingual data, prompts, and evaluation
• Strong proficiency in Python and experience with AI/ML frameworks and tooling
• Experience designing and deploying scalable AI systems in production environments
• Understanding of vector databases, embeddings, retrieval strategies, and hybrid search
• Experience with MLOps / LLMOps practices, including model lifecycle management, evaluation, and monitoring
• Ability to perform technical discovery and communicate complex AI concepts to both technical and non-technical stakeholders
• Strong leadership, communication, and stakeholder management skills
• English Upper-Intermediate +
• Availability to work in UK time zone (GMT+1)

Nice to have:

• Experience with Palantir Foundry
• Familiarity with distributed systems or large-scale data processing (e.g., Spark)