{"id":1337918,"url":"https://alion.io/job/teamlyzer-ai-cloud-engineer-aws","title":"AI & Cloud Engineer (AWS)","company":{"id":701663,"name":"Teamlyzer","domain":"teamlyzer.com","url":"https://alion.io/company/teamlyzer","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":true,"listed_via":"teamlyzer.com","ats_vendor":"Schema","truth_index":{"grade":"B","score":75,"open_postings":6,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":30,"computed_at":"2026-10-01T05:45:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":[],"countries":[],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":80000,"max":100000,"currency":"EUR","period":"year","gross":null,"usd_annual":114019},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"AI Agents","optional":false},{"name":"Amazon ECS","optional":false},{"name":"AWS","optional":false},{"name":"AWS Bedrock","optional":false},{"name":"AWS Fargate","optional":false},{"name":"AWS Lambda","optional":false},{"name":"AWS Step Functions","optional":false},{"name":"AWS Strands Agents","optional":false},{"name":"Boto3","optional":false},{"name":"CI/CD","optional":false},{"name":"IAM","optional":false},{"name":"LLM","optional":false},{"name":"LLMOps","optional":false},{"name":"Machine Learning","optional":false},{"name":"OpenSearch","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Terraform","optional":false},{"name":"AWS Bedrock AgentCore","optional":true},{"name":"LLM Guardrails","optional":true}],"status":"live","first_seen_at":"2026-09-24T00:00:00Z","employer_posted_date":"2026-09-24","last_verified_at":"2026-09-24T00:00:00Z","board_verified":false,"closed_at":null,"days_open":7,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":7},"description":"Sobre a vaga\nAs an AI & Cloud Engineer, you will help organisations transform complexity into measurable outcomes by designing and building cloud-native AI solutions on AWS. The role combines strong AWS engineering skills with hands-on experience in Generative AI, RAG architectures and LLM-based applications. You will work on solutions that need to move beyond prototypes into production-ready environments.\nO que vais fazer\nDesign and implement serverless and cloud-native architectures on AWS\nBuild and deploy Generative AI and RAG solutions using Amazon Bedrock and related AWS services\nDevelop AI services and integrations using Python and Boto3\nImplement retrieval pipelines combining Amazon OpenSearch, Bedrock Knowledge Bases and LLMs\nDesign agentic architectures, including AWS Strands Agents or equivalent frameworks\nBuild and maintain cloud infrastructure using Terraform / Infrastructure as Code\nDeploy and operate workloads using services such as AWS Lambda, ECS/Fargate, Cognito, IAM and Step Functions\nDefine and implement LLMOps practices, including model routing, evaluation, monitoring and dedicated inference profiles\nApply prompt engineering and LLM evaluation techniques, including LLM-as-a-judge approaches\nWork closely with technical and business stakeholders to translate requirements into robust solutions\nO que é pedido\nRelevant academic background in Computer Science, Software Engineering, Information Technology, or equivalent practical experience\n5+ years of experience in AWS Cloud Engineering, Software Engineering, or Cloud Solution Development\n2+ years of hands-on experience building and deploying Generative AI and LLM-based applications\nProven experience designing and implementing cloud-native architectures on AWS\nDemonstrated experience implementing at least one production-grade RAG solution\nExperience working in agile delivery teams and multidisciplinary technical environments\nProfessional proficiency in English\nSolid experience with Amazon Bedrock, including foundation models, Knowledge Bases, AgentCore/runtime concepts and guardrails\nStrong Python development skills and experience with Boto3\nPractical experience designing, implementing, and optimising RAG architecture, retrieval pipelines, and AI-powered applications\nExperience with Terraform and Infrastructure as Code\nGood understanding of Amazon OpenSearch and vector/retrieval architectures\nKnowledge of LLM evaluation frameworks and orchestration, including LLM-as-a-Judge, observability, monitoring, testing, and responsible AI practices\nUnderstanding of agentic architectures, multi-step reasoning workflows, and orchestration patterns for GenAI applications\nExperience with prompt engineering, prompt evaluation, and techniques for improving LLM response quality and reliability\nAbility to make architectural decisions, explain trade-offs and defend technical choices with both technical teams and clients\nExperience building APIs, integrating enterprise applications, and developing production-grade software solutions using modern engineering practices\nValorizado\nProfessional proficiency in French\nAWS certifications such as AWS Certified Solutions Architect, AWS Certified Developer, or AI-specialised certifications\nExperience deploying workloads on AWS Lambda, ECS/Fargate, Amazon RDS, Cognito, IAM, and Step Functions\nUnderstanding of AWS security, including cross-account IAM and enterprise governance practices\nExposure to MLOps, AI deployment pipelines, and CI/CD practices for machine learning and GenAI solutions\nExposure to Architecture Review Boards, cloud governance frameworks, or enterprise architecture practices\nExperience working in consulting or client-facing delivery environments\nExposure to international projects or multicultural teams\nO que é oferecido\nCompensation: €300 - €400 B2B daily rate\nCompetitive salary aligned with your experience and the data market\nMeal allowance: €10.20/day\nFlexible benefits plan\nPrivate medical insurance\n22 days of annual leave, increasing every 3 years (up to 25 days)\nContinuous learning via KLX - Keyrus Learning Experience\nResumo organizado por IA a partir do anúncio original. Confirma os detalhes no site da empresa.","description_format":"text","description_chars":4194,"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":"French","level":"Advanced (C1)","optional":false},{"language":"English","level":"Advanced (C1)","optional":false}]},"benefits":["Annual leave","Continuous learning","Health insurance"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Career Services","Job Boards & Aggregators","Online Reviews & Ratings"],"lifecycle":[{"event":"open","at":"2026-09-27T14:54:48Z"}],"liveness":{"score":88,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.876,"p_room":1,"age_days":7,"expected_fill_days":30,"reasons":["seen:7","velocity","win:early","comp:brand"],"computed_at":"2026-10-01T05:45:00Z"},"pay":{"stated_usd_annual":114019,"is_top_pay":false},"html_url":"https://alion.io/job/teamlyzer-ai-cloud-engineer-aws","json_url":"https://alion.io/job/teamlyzer-ai-cloud-engineer-aws.json","meta":{"generated_at":"2026-10-01T10:28:23Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":1626,"day_limit":5000,"remaining_today":3374,"minute_limit":60,"resets_at":"2026-10-02T00:00:00Z"}}}