{"id":681470,"url":"https://alion.io/job/ifs-lead-ai-engineer","title":"Lead AI Engineer","company":{"id":4263,"name":"IFS","domain":"ifs.com","url":"https://alion.io/company/ifs","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SmartRecruiters","truth_index":{"grade":"B","score":75,"open_postings":33,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":39,"computed_at":"2026-10-27T05:46:45Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"lead","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Madrid, Spain"],"countries":["ES"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":62000,"max_usd":155000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":1286},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"C#","optional":false},{"name":"CI/CD","optional":false},{"name":"Context Engineering","optional":false},{"name":"Embeddings","optional":false},{"name":"Go","optional":false},{"name":"Helm","optional":false},{"name":"LLMOps","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Terraform","optional":false},{"name":"TypeScript","optional":false},{"name":"AutoGen","optional":true},{"name":"AWS","optional":true},{"name":"Azure","optional":true},{"name":"Cohere SDK","optional":true},{"name":"CrewAI","optional":true},{"name":"DeepEval","optional":true},{"name":"DeepSeek","optional":true},{"name":"Docker","optional":true},{"name":"Fine-tuning","optional":true},{"name":"Function Calling","optional":true},{"name":"GCP","optional":true},{"name":"Hugging Face","optional":true},{"name":"KServe","optional":true},{"name":"Kubernetes","optional":true},{"name":"LangChain","optional":true},{"name":"Langfuse","optional":true},{"name":"LangGraph","optional":true},{"name":"LiteLLM","optional":true},{"name":"Llama","optional":true},{"name":"LLM","optional":true},{"name":"LoRA","optional":true},{"name":"Mistral","optional":true},{"name":"MLFlow","optional":true},{"name":"Model Context Protocol","optional":true},{"name":"Multimodal AI","optional":true},{"name":"OpenAI","optional":true},{"name":"PEFT","optional":true},{"name":"Prompt Engineering","optional":true},{"name":"Promptfoo","optional":true},{"name":"Pydantic AI","optional":true},{"name":"Ragas","optional":true},{"name":"Semantic Kernel","optional":true},{"name":"Transformers","optional":true},{"name":"vLLM","optional":true}],"status":"live","first_seen_at":"2026-09-10T21:19:05Z","employer_posted_date":"2026-09-10","last_verified_at":"2026-10-27T21:31:47Z","board_verified":true,"closed_at":null,"days_open":47,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":47},"description":"IFS is a billion-dollar revenue company with 7000+ employees on all continents. Our leading AI technology is the backbone of our award-winning enterprise software solutions, enabling our customers to be their best when it really matters-at the Moment of Service™. Our commitment to internal AI adoption has allowed us to stay at the forefront of technological advancements, ensuring our colleagues can unlock their creativity and productivity, and our solutions are always cutting-edge.\nAt IFS, we’re flexible, we’re innovative, and we’re focused not only on how we can engage with our customers but on how we can make a real change and have a worldwide impact. We help solve some of society’s greatest challenges, fostering a better future through our agility, collaboration, and trust.\nWe celebrate diversity and understand our responsibility to reflect the diverse world we work in. We are committed to promoting an inclusive workforce that fully represents the many different cultures, backgrounds, and viewpoints of our customers, our partners, and our communities. As a truly international company serving people from around the globe, we realize that our success is tantamount to the respect we have for those different points of view.\nBy joining our team, you will have the opportunity to be part of a global, diverse environment; you will be joining a winning team with a commitment to sustainability; and a company where we get things done so that you can make a positive impact on the world.\nWe’re looking for innovative and original thinkers to work in an environment where you can #MakeYourMoment so that we can help others make theirs. With the power of our AI-driven solutions, we empower our team to change the status quo and make a real difference.\nIf you want to change the status quo, we’ll help you make your moment. Join Team Purple. Join IFS.\nAs a Lead AI Engineer, you will design and build applied AI solutions that drive measurable business value from concept through scalable production deployment. You'll architect enterprise AI systems leveraging large language models, retrieval-augmented generation, and agentic workflows while leading technical strategy and mentoring engineering teams.\nKey Responsibilities\nDesign and architect AI-powered systems using LLMs, RAG, agentic workflows, and orchestration patterns integrated with enterprise data and business processes\nDevelop secure, maintainable, production-ready software platforms and cloud-native services that orchestrate models, tools, retrieval systems, and enterprise workflows\nBuild rapid prototypes and proof-of-concepts to validate new technologies and identify business opportunities\nEstablish comprehensive evaluation, monitoring, and quality practices including testing, benchmarking, observability, and continuous improvement\nLead technical design discussions, architecture reviews, and drive engineering best practices across teams\nMentor engineers and develop reusable AI capabilities and frameworks that accelerate delivery across the organization\nCollaborate with product teams, architects, domain experts, customers, and partners to identify opportunities and deliver business impact\nInfluence IFS's AI strategy and long-term technology direction through hands-on delivery, experimentation, and customer engagement, including external-facing innovation through industry events and partner collaboration\n Core Requirements\nBachelor’s degree in computer science, Software Engineering, AI, Data Science, or a related field. Master's degree is advantageous.\n\n8+ years of professional experience in AI, Machine Learning, and/or Software Engineering, backed by a proven track record of successfully delivered projects.\n\nExperience bringing incubated AI solutions to production, including scoping, design, development, testing, deployment, and vigilant monitoring.\n\nStrong programming skills one or more mainstream programming languages such as Python, Golang, C# or TypeScript.\n\nExperience with context engineering, including retrieval architecture, embeddings, vector databases, search technologies, and retrieval optimization techniques.\n\nStrong backend engineering fundamentals, including APIs, distributed services, cloud-native architectures, CI/CD, integration, automation, and security.\n\nA solid background in DevOps and MLOps/LLMOps practices, and familiarity with tools to manage infrastructure as code, like Terraform and package managers like Helm Charts.\n\nAbility to design solutions that integrate enterprise applications, business processes, workflows, and data platforms.\n\nApplied AI & Architecture\nExperience designing and implementing AI-driven architectures using LLMs, retrieval-augmented generation (RAG), agentic workflows, orchestration patterns, and enterprise data sources.\n\nStrong understanding of the AI system lifecycle, including evaluation, deployment, monitoring, governance, and continuous improvement.\n\nExperience with MLOps lifecycles, deployment pipelines, model operations, and observability for AI systems is advantageous.\n\nCollaboration & Execution\nExperience working closely with customers, stakeholders, and domain experts to define and deliver solutions.\n\nDemonstrated ability to rapidly prototype, experiment, measure outcomes, and iterate quickly in real-world customer and enterprise environments.\n\nStrong communication skills, with the ability to explain complex technical concepts clearly to technical and non-technical audiences.\n\nComfortable operating in ambiguous, fast-moving environments, translating complex business problems into clear technical strategies, execution plans, and measurable outcomes.\n\nExperience leading technical discussions, influencing architectural direction, mentoring engineers, and driving alignment across teams.\n\nTrack record of influencing technical direction and technology strategy through hands-on delivery, experimentation, and evidence-based recommendations.\n\nExperience with two or more of the following technologies is highly desirable\nLLM Serving & AI Platforms\n\nvLLM, LiteLLM, KServe or similar LLM serving platforms.\n\nAI gateways, model routing, inference serving and multi-modal orchestration.\n\nFoundation Model\n\nCohere, OpenAI, Anthrophic, Llama, Mistral, DeepSeek or other open-source LLMs.\n\nAgentic AI\n\nLangGraph, PydanticAI, Semantic Kernel, CrewAI, AutoGen or similar agentic AI frameworks.\n\nTool calling, MCP, workflow orchestration and autonomous agents.\n\nAI Evaluation & Observability\n\nMLFlow, DeepEval, Ragas, Promptfoo, Langfuse or similar evaluation and observability tools.\n\nCloud & Infrastructure\n\nKubernetes, Docker, Helm, Terraform and cloud-native deployments platforms.\n\nGPU infrastructure and inference optimization.\n\nModel Development\n\nHugging Face ecosystem (Transformers, PEFT, LoRA).\n\nFine-tuning, model evaluation, benchmarking, prompt engineering and model optimization.\n\nExperience building enterprise AI platforms or developer tooling.\n\nExperience working with AMD, NVIDIA, or other AI accelerator technologies.\n\nExperience with enterprise software domains such as ERP, EAM, Service Management, Manufacturing, Supply Chain, or Field Service.\n\nExperience building customer-facing demonstrations, proof-of-concepts, or innovation showcases.\n\nContributions to open-source AI projects, technical communities, conferences, or publications.\n\nExperience working with Microsoft Azure, AWS, or Google Cloud AI services.\n\nNice to Have\nExperience building enterprise AI platforms or developer tooling.\n\nExperience working with AMD, NVIDIA, or other AI accelerator technologies.\n\nExperience with enterprise software domains such as ERP, EAM, Service Management, Manufacturing, Supply Chain, or Field Service.\n\nExperience building customer-facing demonstrations, proof-of-concepts, or innovation showcases.\n\nContributions to open-source AI projects, technical communities, conferences, or publications.\n\nExperience working with Microsoft Azure, AWS, or Google Cloud AI services.\n\n We embrace flexibility and hybrid work opportunities to support diverse needs and lifestyles, while also valuing inclusive workplace experiences. By fostering a sense of community, we drive innovation, strengthen connections, and nurture belonging. 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