{"id":3220211,"url":"https://alion.io/job/epam-systems-data-solution-architect-ai-architect","title":"Data Solution Architect / AI Architect","company":{"id":92,"name":"EPAM Systems","domain":"epam.com","url":"https://alion.io/company/epam-systems","size_band":"5000+","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"HeadHunter","truth_index":{"grade":"C","score":55,"open_postings":71,"ghost_share":0.732,"stale_share":0,"repost_share":0.085,"time_to_fill_p50_days":47,"computed_at":"2026-10-26T05:57:25Z"}},"role":"Solutions","role_family":"Solutions","seniority":"staff","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Riga, Latvia"],"countries":["LV"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":5600,"max":88700,"currency":"EUR","period":"year","gross":null,"usd_annual":6274},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon SageMaker","optional":false},{"name":"AWS","optional":false},{"name":"Bamboo","optional":false},{"name":"CI/CD","optional":false},{"name":"Docker","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"MLFlow","optional":false},{"name":"Terraform","optional":false},{"name":"Apache Kafka","optional":true}],"status":"closed","first_seen_at":"2026-10-25T02:31:41Z","employer_posted_date":null,"last_verified_at":"2026-10-26T08:40:42Z","board_verified":false,"closed_at":"2026-10-26T08:40:42Z","days_open":1,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":1},"description":"Job Description\nWe are seeking an innovative Data Solution Architect/AI Architect to join our expanding team. In this role, you'll play a vital part in crafting solutions that meet diverse requirements and needs. Collaborating closely with teams of data scientists and machine learning engineers, you'll be at the centre of driving innovation.\n\nYour expertise will be instrumental in enhancing the design of AI systems, spanning classical ML and LLMs, on the AWS platform. You'll contribute to the development of new solutions, including data enrichment pipelines and robust building blocks for training, evaluating, and deploying large language models. Join us on this exciting journey!\n\n_This position offers hybrid setup with the flexibility to work from any location in Latvia, whether it's your home or our office in Riga._\n\nCreate an architecture for utilizing and publishing data within the data mesh\n\nDevelop a strategy to identify the specific machine learning tools, models and training sets to construct\n\nCollaborate with the AI labs, data, infrastructure and platform teams to implement ML-based services using AWS SageMaker\n\nAnalyze the existing AWS account configuration for data scientists and MLEs, working closely with StSt MLE and DevOps experts\n\nAssess current AI pipelines and their integration with other services\n\nDesign and build infrastructure to facilitate the experimentation and deployment of AI systems\n\nCooperate with the AI Labs team to enhance current ML workflows and software development standards\n\nRequirements\n\nHands-on production experience as a Data Architect with a production background in design or development\n\nIndustry knowledge in AWS ML services, including AWS SageMaker\n\nQualifications in DevOps, Cloud Operations and ML engineering\n\nSkills in AWS administration and permission management\n\nExpertise with building enterprise scale ML and LLM solutions\n\nHigh proficiency with Docker, IaC (Terraform) and CI/CD (Atlassian Bamboo)\n\nAbility to build and use model management tools such as MLflow\n\nUnderstanding of MLOps\n\nB2+ English level, both written and spoken\n\nNice to have\n\nCompetency in setting up and managing vector databases\n\nShowcase of deploying LLMs at scale\n\nFamiliarity with Kafka\n\nCompany offers\n\nEngineering Heritage: Best-in-class experts sharing a culture of engineering excellence and tackling complex engineering challenges for over 30 years.\n\nAdvanced Tech Stack: Innovative projects where you can apply or enhance your expertise in Cloud, Data, AI, and other emerging technologies.\n\nWorld-Class Clients: Work closely with 340+ of the Forbes Global 2000 on creating disruptive solutions that make a global impact.\n\nProfessional Growth: Exceptional support for career development with comprehensive resources for upskilling or reskilling in pioneering practices.\n\nGenAI Community: Strong AI competencies with 600+ experts across 55+ locations driving GenAI-enabled transformation journeys.\n\nEntrepreneurial Culture: If you're passionate and dedicated to improving business transformation, we provide the support you need to bring your ideas to life.\n\nHybrid Setup: The flexibility to work from any location in Latvia, whether it's your home or our office in Riga.\n\nOther Benefits: Additional vacation and trust days, private health insurance, Employee Stock Purchase Plan and 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