{"id":2376195,"url":"https://alion.io/job/keyrus-forward-deployed-ai-engineer","title":"Forward Deployed AI Engineer","company":{"id":4416804,"name":"Keyrus","domain":"keyrus.pt","url":"https://alion.io/company/keyrus-4","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Teamtailor","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Lisbon, Portugal"],"countries":["PT"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":65000,"max":78000,"currency":"EUR","period":"year","gross":null,"usd_annual":87192},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"AutoGen","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Docker","optional":false},{"name":"Embeddings","optional":false},{"name":"GCP","optional":false},{"name":"Git","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"LlamaIndex","optional":false},{"name":"LLMOps","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Semantic Kernel","optional":false},{"name":"Fine-tuning","optional":true},{"name":"JavaScript","optional":true},{"name":"Multimodal AI","optional":true},{"name":"Node JS","optional":true},{"name":"React.js","optional":true}],"status":"live","first_seen_at":"2026-07-20T10:40:34Z","employer_posted_date":"2026-07-20","last_verified_at":"2026-10-13T11:47:26Z","board_verified":true,"closed_at":null,"days_open":85,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":85},"description":"Why Keyrus, Why Now!\nKeyrus is an international group of 2,800 consultants and experts across 28 countries, built on a single conviction: AI does not transform businesses. Architected intelligence does.\nFor more than 30 years, we have been building the data foundations that make intelligent systems work - designing the Operating System of the intelligent enterprise, where intelligence is embedded into the core of business processes to create sustainable value: we operationalise intelligence.\nAI does not replace humans. It repositions us to a place no system can follow: understanding, deciding, designing, and creating.\nAt Keyrus, you will not just develop skills - you will develop judgment. Your expertise sharpens with every system you architect, every client challenge you solve, and every deployment that compounds on the last.\nOver time, you grow into one of the rarest professionals of the intelligence era: someone who bridges data, AI, and human decision-making at scale, across industries and geographies. This is not a role you fill. It is a discipline you master and a story you help write to become a Keyrus Architect of Intelligence.\nTechnology amplifies. Keyrus culture differentiates. Industrial discipline connects the two.\nRole Details\nJob location: Portugal (Hybrid model - flexible)\nContract type: Employee contract\nTarget start date: September 2026\nWorking hours: Full-time (40h/week)\nCompensation: €65k-€78k per year\nWhat You'll Architect\nAs aForward Deployed AI Engineer, you work at the heart of a client's most pressing AI challenges, turning intent into an operational, measurable result in weeks rather than months. This is an experienced individual-contributor role for someone who combines hands-on engineering, architectural judgment, and business understanding.\nYouown the problem from ambiguity through to execution - understanding the real context, building and deploying the solution, and proving, not declaring, that it creates value. Once the terrain is understood, you become the reference the team relies on to make that result last.\nYour responsibilities\nCo-create solutions with business and technical stakeholders through workshops, rapid iterations, and hands-on delivery.\n\nLocate, qualify, and secure access to the data required for each use case, working directly with Data Engineers\n\nTranslate use cases into production-readyGenAI and agentic AI solutions, includingRAG architectures, intelligent assistants, andAI-enabled workflows.\n\nDesign, test, deploy, monitor, and improve solutions in real client environments using feedback from users and domain experts.\n\nWork with Data Engineers, Software Engineers, Foundations Architects, Governance experts, Business Value Advisors, and Service Delivery Managers to deliver sustainable outcomes.\n\nBalance speed, quality, cost, security, and maintainability while making clear technical and delivery trade-offs.\n\nDefine success criteria from the outset, including adoption, performance, reliability, risk, cost, and measurable business value.\n\nEnsure solutions are documented, governed, and transferable so clients can operate them with confidence.\n\nTurn successful delivery into reusable patterns, accelerators, and building blocks that strengthen future engagements.\n\nWho You Are\nYou are a hands-on engineer who thinks like an architect and acts like a builder. You are comfortable working closely with the client, the problem, and the delivery, and you make sound decisions in complex, evolving environments.\nYou enjoy solving operational challenges, not only exploring technical concepts.\n\nYou communicate clearly with both technical teams and senior business stakeholders.\n\nYou navigate ambiguity with confidence, validate assumptions, and adapt quickly.\n\nYou take ownership of outcomes and raise risks or changing priorities early.\n\nYou understand that AI value depends on the full system: data, workflows, governance, adoption, and measurement.\n\nYou naturally look for what can be reused, improved, and scaled.\n\nWhat You Bring\nQualifications & Experience\n5-10 years of relevant experience in AI Engineering, Machine Learning, Software Engineering, Data Engineering, or technical consulting.\n\nHands-on experience delivering AI, GenAI, or software solutions into production.\n\nExperience working directly with clients or in complex stakeholder environments.\n\nEvidence of turning complex use cases into adopted, measurable solutions.\n\nA degree in Computer Science, Engineering, Artificial Intelligence, Data Science, or a related field, or equivalent practical experience.\n\nAbility to work effectively in multidisciplinary environments.\n\nProfessional proficiency in English.\n\nTechnical & Professional Skills\nStrong Python development skills, API integration experience, and modern software-engineering practices.\n\nHands-on experience with Large Language Models (LLMs), GenAI architectures, prompt workflows, and model/provider selection.\n\nExperience with RAG, embeddings, vector search, AI agents, and agentic workflows.\n\nFamiliarity with frameworks such as LangChain, LlamaIndex, LangGraph, Semantic Kernel, AutoGen, or comparable tools.\n\nExperience integrating AI into enterprise systems, APIs, and business workflows.\n\nExperience with at least one major cloud platform: Azure, AWS, or GCP.\n\nWorking knowledge of Docker, Git, CI/CD, production deployment, monitoring, and evaluation.\n\nUnderstanding of MLOps / LLMOps, security, data privacy, governance, and Responsible AI principles.\n\nNice to Have\nExperience in consulting or client-facing environments.\n\nExperience with multimodal models, fine-tuning, model adaptation, or open-source LLMs.\n\nFront-end or full-stack development experience, for example, Node.js or React.\n\nExposure to regulated industries or enterprise governance requirements.\n\n⭐What Makes You Successful\nYou combine technical credibility, pragmatism, and end-to-end ownership.\n\nYou focus on real-world outcomes, adoption, and measurable value -not only the solution itself.\n\nYou move quickly while balancing speed, quality, cost, and risk.\n\nYou build trust and become a reliable partner in complex client environments.\n\nYou operate effectively under pressure in client environments, where progress and results are continuously visible.\n\nYou know when to go deep technically and when to orchestrate the right expertise.\n\nYou continuously improve, reuse, and scale what works across engagements.\n\nWhat We Offer at Keyrus Portugal\nCompetitive salary aligned with your experience and the data market\n\nMeal allowance: €10.20/day\n\nFlexible benefits plan\n\nPrivate medical insurance\n\n22 days of annual leave, increasing every 3 years (up to 25 days)\n\nContinuous learning via KLX - Keyrus Learning Experience\n\nA collaborative, international, and human-centred work environment\n\nHow Our Salary Ranges Work\nAt Keyrus, salary ranges reflect different levels of mastery and impact within the same role - not different job titles.\nBottom of the range\nYou meet the core requirements and will need ramp-up time and support.\n\nMiddle of the range\nYou are fully autonomous from Day 1 and deliver consistently.\n\nTop of the range\nYou are a reference for the role, mentor others, and raise the bar for the team.\n\nFinal offers are based on experience, autonomy, scope, and market context, and are discussed transparently during the process.\nResponsible AI & Recruitment\nAt Keyrus, all stages of our recruitment process are conducted and evaluated by human recruiters and interviewers.\nTo support accuracy and efficiency, AI may occasionally be used internally by our team exclusively for note-taking purposes during interviews. AI is never used to make decisions.\nTo ensure fairness, authenticity, and the protection of confidential and proprietary information, the use of AI tools by candidates during the recruitment process is strictly prohibited.\nOur commitment to responsible AI practices ensures that hiring decisions are based solely on each candidate’s own skills, experience, judgment, and expertise.\nAny use of AI assistance during the interview process may result in immediate disqualification from the recruitment process.\n Equal Opportunity Statement\nWe are committed to building an inclusive workplace and encourage applications from all backgrounds, regardless of race, ethnicity, gender identity, sexual orientation, age, disability, or any other protected characteristic.","description_format":"text","description_chars":8385,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[{"language":"English","level":"Advanced (C1)","optional":false}]},"benefits":["Annual leave","Continuous learning","Health insurance"],"hiring_locations":[{"name":"Portugal","iso":"PT","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-10-12T18:37:01Z"}],"visa":[],"liveness":{"score":12,"band":"cold","label":"Long shot","p_open":1,"p_active":0.428,"p_room":0.28,"age_days":84,"expected_fill_days":22,"reasons":["conf:2","win:tail","crowd:"],"computed_at":"2026-10-13T05:45:00Z"},"pay":{"stated_usd_annual":87192,"is_top_pay":false},"html_url":"https://alion.io/job/keyrus-forward-deployed-ai-engineer","json_url":"https://alion.io/job/keyrus-forward-deployed-ai-engineer.json","meta":{"generated_at":"2026-10-13T17:39:16Z","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":26910,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-14T00:00:00Z"}},"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":4416804},"rest":"https://alion.io/mcp/rest/get_company?id=4416804"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fkeyrus-forward-deployed-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%2Fkeyrus-forward-deployed-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%2Fkeyrus-forward-deployed-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/keyrus-forward-deployed-ai-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fkeyrus-forward-deployed-ai-engineer"}]}