{"id":2007496,"url":"https://alion.io/job/atos-lead-ai-engineer","title":"Lead AI Engineer","company":{"id":3006,"name":"Atos","domain":"atos.net","url":"https://alion.io/company/atos","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SuccessFactors","truth_index":{"grade":"A","score":97,"open_postings":3,"ghost_share":0,"stale_share":0.333,"repost_share":0,"time_to_fill_p50_days":17,"computed_at":"2026-10-16T05:45:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"lead","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Timișoara, Romania"],"countries":["RO"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":46000,"max_usd":110000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":1119},"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"DPO","optional":false},{"name":"Feature Store","optional":false},{"name":"Fine-tuning","optional":false},{"name":"Hallucination","optional":false},{"name":"LLM Evaluation","optional":false},{"name":"LoRA","optional":false},{"name":"Machine Learning","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"QLoRA","optional":false},{"name":"RLHF","optional":false},{"name":"Accelerate","optional":true},{"name":"Amazon SageMaker","optional":true},{"name":"Arize Phoenix","optional":true},{"name":"AWS","optional":true},{"name":"AWS Bedrock","optional":true},{"name":"Azure","optional":true},{"name":"CI/CD","optional":true},{"name":"Databricks","optional":true},{"name":"DeepEval","optional":true},{"name":"DeepSpeed","optional":true},{"name":"Docker","optional":true},{"name":"Embeddings","optional":true},{"name":"FinOps","optional":true},{"name":"GCP","optional":true},{"name":"Hugging Face","optional":true},{"name":"Knowledge Graph","optional":true},{"name":"Kubernetes","optional":true},{"name":"Langfuse","optional":true},{"name":"OpenAI Evals","optional":true},{"name":"PEFT","optional":true},{"name":"Promptfoo","optional":true},{"name":"RAG","optional":true},{"name":"Ragas","optional":true},{"name":"Ray","optional":true},{"name":"Ray Serve","optional":true},{"name":"Reranking","optional":true},{"name":"Rust","optional":true},{"name":"Snowflake","optional":true},{"name":"TGI","optional":true},{"name":"Triton","optional":true},{"name":"TypeScript","optional":true},{"name":"vLLM","optional":true}],"status":"live","first_seen_at":"2026-09-14T02:00:00Z","employer_posted_date":"2026-09-14","last_verified_at":"2026-10-16T18:47:24Z","board_verified":true,"closed_at":null,"days_open":32,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":32},"description":"Who we are.\nWe are a team of passionate experts with a clear ambition: applying digital technology to advance what matters for our clients and society.\nTogether we create reliable and responsive digital foundations for the world’s businesses, institutions, and communities.\nLearn more on Advancing what matters.\nAtos is hiring a Lead AI Engineer to build and operate the model, infrastructure, and data layer of the Belgium AI delivery practice. The role trains and fine-tunes custom large and small language models for project use, builds and administers the AI infrastructure those models run on, and leads the data management, modelling, and integration work that every AI project depends on.\nKey Responsibilities\nBuild and train custom LLMs and SLMs. Fine-tune, align, and adapt models for project needs.\nCreate and administer the AI infrastructure. Set up compute, serving, orchestration, autoscaling, and cost controls.\nLead data management for AI projects. Build pipelines, vector stores, feature stores, and lineage tracking.\nLead modelling decisions across the portfolio. Choose the right approach: foundation model, fine-tune, or custom SLM.\nLead AI integration into project codebases. Connect models with project and client systems through APIs, retrieval layers, and agent frameworks.\nRun the evaluation harness for trained models. Define metrics, test sets, and CI-based quality gates.\nPartner with the AI Governance and Platform Lead on governance. Provide model cards, data lineage, evaluation results, and prompt documentation.\nMentor delivery-team engineers. Support teams on model selection, fine-tuning, and data-quality practices.\nRequired Qualifications\nBachelor’s or Master’s degree in Computer Science, Machine Learning, Engineering, or equivalent experience.\n6+ years in ML engineering, deep learning, or AI platform engineering.\n3+ years training, fine-tuning, or deploying LLMs in production.\nExperience with model tuning techniques such as LoRA, QLoRA, instruction tuning, RLHF, or DPO.\nKnowledge of model-serving runtimes and GPU infrastructure on a major cloud platform.\nStrong data engineering background across pipelines, vector stores, feature stores, and lineage tracking.\nSenior-level Python skills with PyTorch and modern AI tooling.\nGood understanding of evaluation methodology, hallucination measurement, and retrieval failure analysis.\nProduction experience taking at least one significant model from training to live operation.\nPreferred Qualifications\nExperience training small language models or running continued pretraining.\nHands-on RAG experience at scale, including chunking, embeddings, reranking, and evaluation.\nExperience with sovereign EU AI stacks for model training or serving.\nHands-on with agent frameworks in production environments.\nAI FinOps experience covering cost control, right-sizing, caching, and workload optimisation.\nOpen-source contributions, papers, or talks are a plus.\nTechnical Skills\nModelling. PyTorch, Hugging Face, DeepSpeed, Accelerate, vLLM, TGI, LoRA/QLoRA, DPO, and RLHF.\nInference and serving. vLLM, TGI, Triton, Ray Serve, SageMaker, AWS Bedrock, autoscaling, and latency/cost optimisation.\nData. Databricks, Snowflake, vector stores, feature stores, knowledge graphs, and lineage tools.\nCloud and compute. AWS, Azure, GCP, Kubernetes, Docker, GPU infrastructure, and sovereign EU stacks.\nEvaluation. Langfuse, Arize Phoenix, Ragas, DeepEval, Promptfoo, OpenAI Evals, and custom evaluation harnesses.\nLanguages. Senior-level Python plus TypeScript, Go, or Rust for production integration.\nEngineering practice. Typed boundaries, testing, CI/CD, and infrastructure-as-code.\nLearn more about us:\nAt Atos, we embrace diversity as the ultimate engine of ingenuity for our clients, and we constantly strive to create a culture where people feel supported and encouraged. Read more about our commitment here .\nWhether it is fighting climate change, promoting digital inclusion, or ensuring trust in data management - tech for good sits at the core of our identity. With numerous global recognitions for our ESG practices, we are committed to building a better future for all by harnessing the power of technology. Learn more here.","description_format":"text","description_chars":4206,"description_truncated":false,"requirements":{"experience_years_min":6,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":true},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Managed Security","IT Consulting & Digital Transformation","Systems Integrators","High-Performance Computing"],"lifecycle":[{"event":"open","at":"2026-10-07T12:37:48Z"}],"visa":[],"liveness":{"score":28,"band":"fade","label":"Fading","p_open":1,"p_active":0.614,"p_room":0.45,"age_days":32,"expected_fill_days":17,"reasons":["conf:1","velocity","win:tail","comp:brand"],"computed_at":"2026-10-16T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/atos-lead-ai-engineer","json_url":"https://alion.io/job/atos-lead-ai-engineer.json","meta":{"generated_at":"2026-10-16T20:21:26Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":919,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-17T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":3006},"rest":"https://alion.io/mcp/rest/get_company?id=3006"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fatos-lead-ai-engineer"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fatos-lead-ai-engineer"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fatos-lead-ai-engineer"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/atos-lead-ai-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fatos-lead-ai-engineer"}]}