{"id":3090169,"url":"https://alion.io/job/cpl-ai-technical-lead","title":"AI Technical Lead","company":{"id":2268173,"name":"Cpl","domain":"cpl.com","url":"https://alion.io/company/cpl-com","size_band":null,"is_staffing_agency":true,"employer_type":"agency","is_intermediary":false,"listed_via":null,"ats_vendor":"Schema","truth_index":{"grade":"B","score":75,"open_postings":39,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":26,"computed_at":"2026-10-25T05:49:26Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"lead","employment_type":"contractor","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Dublin, Ireland"],"countries":["IE"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":600,"max":650,"currency":"EUR","period":"day","gross":null,"usd_annual":182500},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Fine-tuning","optional":false},{"name":"Function Calling","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"LlamaIndex","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"RAG","optional":false},{"name":"Semantic Kernel","optional":false},{"name":"Agile","optional":true},{"name":"AWS","optional":true},{"name":"Claude","optional":true},{"name":"Copilot","optional":true},{"name":"Docker","optional":true},{"name":"Hugging Face","optional":true},{"name":"JavaScript","optional":true},{"name":"Kubernetes","optional":true},{"name":"Pinecone","optional":true},{"name":"Python","optional":true},{"name":"Qdrant","optional":true},{"name":"Quantization","optional":true},{"name":"Scrum","optional":true},{"name":"TypeScript","optional":true},{"name":"Weaviate","optional":true}],"status":"live","first_seen_at":"2026-10-22T14:32:05Z","employer_posted_date":"2026-10-22","last_verified_at":"2026-10-23T00:18:28Z","board_verified":false,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":2},"description":"AI Technical Lead\n12 month Day Rate Contract\nDublin Hybrid - €600-€650 per day\nOverview\nWe are seeking an experienced AI Technical Lead to drive the implementation of advanced AI capabilities supporting our enterprise transformation programs. The ideal candidate will have deep expertise in modern AI technologies, including Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and agentic AI systems. This role will focus on leveraging cutting-edge AI frameworks to deliver business value through intelligent automation, enhanced user experiences, and optimized workflows in our financial services applications.\nAbout the Role\nAs an AI Technical Lead, you will be responsible for designing, implementing, and scaling AI solutions across our enterprise systems. You will work at the intersection of emerging AI technologies and practical business applications, guiding cross-functional teams in the adoption of responsible AI practices while ensuring technical excellence and innovation.\nPrimary Responsibilities AI Strategy & Architecture\nDesign comprehensive AI architectures incorporating LLMs, vector databases, and agentic frameworks\nEstablish patterns for effective AI integration with existing enterprise applications\nDevelop robust RAG implementations for knowledge-intensive business processes\nBalance innovation with practical delivery of strategically agreed capabilities to ensure measurable business value\nTechnical Leadership in AI\nLead the evaluation and selection of appropriate AI models, tools, and frameworks\nDesign end-to-end AI workflows incorporating prompt engineering, context handling, and tool use\nGuide the responsible implementation of generative AI capabilities in businesscritical systems, project SDLC and system workflows\nEstablish best practices for AI development, testing, and deployment\nAdvanced AI Implementation\nDevelop LLM-powered applications with sophisticated reasoning capabilities\nCreate RAG systems with effective vector retrieval, context management, and response generation\nBuild agentic AI workflows that can perform multi-step tasks with appropriate tool use\nImplement AI-powered document intelligence and information extraction systems\nDesign hybrid AI architectures combining symbolic and neural approaches where appropriate\nDevelop generative AI solutions for intuitive UI creation and personalized user experiences\nAI Technical Expertise\nImplement fine-tuning and model adaptation strategies for specialized domains\nDevelop robust evaluation frameworks for AI system performance and reliability\nCreate effective prompt engineering strategies for consistent and controlled AI outputs\nDesign and implement AI guardrails and safety mechanisms for enterprise applications Team Leadership\nMentor development teams in advanced AI implementation techniques\nCollaborate with data scientists, MLOps engineers, and business analysts\nEvangelize AI best practices and responsible AI principles across the organization\nProvide technical oversight for internal and vendor-provided AI solutions\nRequired Skills & Experience AI & ML Expertise\n5+ years of hands-on experience with ML/AI technologies\nDemonstrated experience implementing production LLM applications\nProven ability to design and develop RAG systems with effective vector retrieval\nExperience designing agentic AI workflows with tool-using capabilities\nWorking knowledge of prompt engineering techniques and best practices\nHands-on experience with LLM frameworks (LangChain, LangGraph, Llama Index, Semantic Kernel, etc.)\nExperience in full stack development is a plus, should be able to work with UI engineers and API leads to build UIs including conversation AI usecases\nUnderstanding of model fine-tuning, quantization, and optimization approaches Technical Foundation\nStrong software engineering background with proficiency in Python, JavaScript/TypeScript\nExperience with vector databases (Pinecone, Weaviate, Qdrant, etc.)\nKnowledge of modern AI development tools (GitHub Copilot, Claude/GPT APIs, Hugging Face)\nExperience with containerization and orchestration (Docker, Kubernetes)\nUnderstanding of MLOps practices for AI application deployment\nArchitecture & Integration\nExperience integrating AI capabilities into enterprise systems\nKnowledge of API development and microservices architecture\nCloud platform experience (AWS)\nUnderstanding of event-driven architectures and messaging patterns\nExperience with observability and monitoring for AI systems Leadership & Soft Skills\nProven track record leading technical teams on innovative projects\nExcellent communication with technical and non-technical stakeholders\nAbility to translate business requirements into AI-enabled solutions\nExperience working in Agile/Scrum environments\nProblem-solving skills and innovative thinking Qualifications\nBachelor's or Master's degree in Computer Science, AI, or related field\nRelevant certifications in AI/ML beneficial\nExperience leading enterprise-scale AI implementation projects\nDemonstrated commitment to continuous learning in the rapidly evolving AI landscape\nFor more info call Michael on 01 6146058 ","description_format":"text","description_chars":5146,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Continuous 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