{"id":3293215,"url":"https://alion.io/job/aim-senior-data-engineer-ai-llm-solutions","title":"Senior Data Engineer (AI & LLM Solutions)","company":{"id":4483198,"name":"AIM","domain":null,"url":"https://alion.io/company/aim-6","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":[],"countries":[],"hiring_countries":["PK"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":100000,"max_usd":231000,"period":"year","method":"global_role_seniority_cell","sample_n":2365},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Azure","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"Azure DevOps","optional":false},{"name":"CI/CD","optional":false},{"name":"CMMC","optional":false},{"name":"Copilot","optional":false},{"name":"Databricks","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Fine-tuning","optional":false},{"name":"Git","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Microsoft Fabric","optional":false},{"name":"MySQL","optional":false},{"name":"NLP","optional":false},{"name":"OpenAI","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Power BI","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Rest API","optional":false},{"name":"SOC 2","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false}],"status":"live","first_seen_at":"2026-10-25T12:07:38Z","employer_posted_date":null,"last_verified_at":"2026-10-25T12:07:38Z","board_verified":false,"closed_at":null,"days_open":3,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":3},"description":"Senior Data Engineer (AI & LLM Solutions)\nLocation: Remote(Pakistan, Mexico, India, Morocco)\nDepartment: Digital Solutions / Data Engineering & AI\nReports To: Technical Lead / Director\nJob Type: Full-timeAbout AIMArchitecture in Motion Inc. (AIM) is a Canadian technology consulting firm that supports organizations across public and private sectors with software engineering, cloud platforms, API integration, data engineering, and enterprise technology solutions.\nWe specialize in delivering scalable, secure, and modern digital solutions leveraging Microsoft technologies, helping our clients drive operational efficiency, data modernization, and digital transformation.\nRole OverviewAIM is seeking a Senior Data Engineer (AI & LLM Solutions) to design, develop, and optimize modern data platforms that support analytics, artificial intelligence, machine learning, and Generative AI solutions.\nThis is a hands-on senior role requiring strong expertise in Microsoft Fabric, Azure Data Services, Azure Databricks, Python, PySpark, and enterprise data architecture, along with practical experience supporting AI and LLM initiatives.\nThe ideal candidate will build scalable and secure data solutions while enabling advanced AI capabilities, including Retrieval-Augmented Generation (RAG), vector search, Azure OpenAI, Copilot, and enterprise LLM solutions.\nThe successful candidate will work closely with Solution Architects, AI Engineers, Cloud Engineers, Data Scientists, and client stakeholders to deliver secure, scalable, and business-driven data platforms.\nKey ResponsibilitiesModern Data Platform Development\nDesign and develop enterprise-scale data solutions using Microsoft Fabric, Azure Data Factory, Azure Synapse Analytics, Azure Data Lake Storage, and Azure Databricks.\n\nBuild and optimize scalable ETL/ELT pipelines for structured, semi-structured, and unstructured data.\n\nDevelop modern Lakehouse, Data Warehouse, and Medallion Architecture solutions.\n\nDesign and implement batch and real-time data processing frameworks.\n\nLead data modernization, migration, and integration initiatives from legacy platforms.\n\nAI, LLM & Data Enablement\nDevelop data foundations that support AI, Machine Learning, and Generative AI solutions.\n\nPrepare, transform, and optimize datasets for AI applications, model training, and fine-tuning.\n\nDesign and implement Retrieval-Augmented Generation (RAG) architectures and vector search solutions.\n\nSupport Azure OpenAI, Microsoft Copilot, and enterprise LLM implementations.\n\nDevelop data pipelines and architectures that enable AI-driven applications.\n\nCollaborate with Data Scientists and AI Engineers to operationalize AI and machine learning solutions.\n\nAdvanced Data Engineering\nBuild distributed data processing solutions using PySpark and Spark SQL.\n\nDevelop automated data integration frameworks connecting APIs, SaaS applications, databases, and cloud services.\n\nDesign reusable data engineering frameworks, components, and standards.\n\nOptimize large-scale workloads for performance, scalability, reliability, and cost efficiency.\n\nImplement data quality, validation, monitoring, and error-handling processes.\n\nData Governance & Security\nImplement data governance and cataloging solutions using Microsoft Purview and related technologies.\n\nEstablish and maintain data lineage, classification, cataloging, and access controls.\n\nEnsure data platforms align with enterprise security, privacy, and compliance requirements.\n\nSupport governance and security requirements across frameworks such as SOC 2, NIST, and CMMC.\n\nImplement secure data access and protection practices across cloud data platforms.\n\nReporting & Analytics Support\nDesign and support semantic data models for Power BI and enterprise analytics.\n\nEnable self-service analytics while maintaining appropriate governance and data quality standards.\n\nSupport KPI frameworks, executive dashboards, reporting, and predictive analytics initiatives.\n\nCollaborate with analytics teams to ensure reliable and high-quality data availability.\n\nTechnical Leadership & Collaboration\nProvide technical guidance and mentorship to junior and mid-level data engineers.\n\nParticipate in solution architecture, technical design reviews, and implementation planning.\n\nWork directly with clients and stakeholders to understand requirements and translate business needs into scalable technical solutions.\n\nCollaborate with cross-functional teams including AI Engineers, Cloud Engineers, Solution Architects, Data Scientists, and Business Analysts.\n\nParticipate in technical discussions and presales activities where required.\n\nDevelop technical documentation, engineering standards, and reusable implementation patterns.\n\nSupport & Continuous Improvement\nTroubleshoot and resolve data pipeline, platform, and integration issues.\n\nMonitor and optimize data workloads and cloud resources.\n\nSupport enhancements, upgrades, and ongoing maintenance of data platforms.\n\nIdentify opportunities to improve data quality, automation, performance, and operational efficiency.\n\nStay current with emerging technologies in Microsoft Fabric, Azure, AI, Generative AI, and data engineering.\n\nRequired QualificationsEducationBachelor’s degree in Computer Science, Software Engineering, Information Technology, Data Science, or a related discipline.\nExperience\n8+ years of professional experience in Data Engineering, Data Platforms, or Cloud Data Solutions.\n\n5+ years of hands-on experience with Microsoft Azure Data Services.\n\nProven experience delivering enterprise-scale data, analytics, and AI solutions.\n\nStrong experience working with modern cloud data platforms and data architectures.\n\nExperience working within consulting, professional services, or enterprise environments.\n\nStrong communication, stakeholder management, and problem-solving skills.\n\nTechnical SkillsData Platform Technologies\nMicrosoft Fabric\n\nAzure Data Factory (ADF)\n\nAzure Synapse Analytics\n\nAzure Data Lake Storage Gen2 (ADLS)\n\nAzure Databricks\n\nAzure Event Hubs\n\nData Warehouse & Lakehouse Architecture\n\nMedallion Architecture\n\nProgramming & Data Processing\nPython\n\nSQL\n\nPySpark\n\nSpark SQL\n\nKusto Query Language (KQL)\n\nREST API integrations\n\nETL/ELT development\n\nDatabases\nSQL Server\n\nPostgreSQL\n\nMySQL\n\nNoSQL databases\n\nData modeling and optimization\n\nAI & Machine Learning\nAzure OpenAI\n\nGenerative AI\n\nPrompt Engineering\n\nRetrieval-Augmented Generation (RAG)\n\nVector Databases / Vector Search\n\nMachine Learning Pipelines\n\nNLP fundamentals\n\nLLM integration patterns\n\nAI-ready data architecture\n\nAnalytics & Visualization\nPower BI\n\nTableau\n\nSemantic Models\n\nExecutive Reporting\n\nKPI Frameworks\n\nGovernance & Security\nMicrosoft Purview\n\nData Governance\n\nData Classification\n\nData Lineage\n\nData Cataloging\n\nAccess Control\n\nEnterprise Security Standards\n\nSOC 2, NIST, and CMMC awareness\n\nDevOps & Cloud Engineering\nAzure DevOps\n\nGit\n\nCI/CD Pipelines\n\nInfrastructure as Code concepts\n\nContainerization concepts\n\nCloud resource optimization\n\nCore Competencies\nStrong analytical and problem-solving skills\n\nAbility to design and implement scalable data solutions\n\nStrong understanding of enterprise data architecture\n\nAbility to work independently in a remote and cross-functional environment\n\nStrong communication and stakeholder management skills\n\nAbility to mentor engineers and provide technical leadership\n\nStrong focus on security, quality, performance, and reliability\n\nAbility to translate business requirements into technical solutions\n\nPreferred Certifications\nMicrosoft Certified: Fabric Analytics Engineer Associate\n\nMicrosoft Certified: Azure Data Engineer Associate\n\nMicrosoft Certified: Azure Data Scientist Associate\n\nMicrosoft Certified: Azure Solutions Architect Expert\n\nDatabricks Certified Data Engineer\n\nRelevant AI, Machine Learning, or Generative AI certifications\n\nWhat We Offer\nRemote-first work environment\n\nOpportunity to work on enterprise-scale Microsoft Fabric and Azure data platforms\n\nExposure to AI, Generative AI, Azure OpenAI, and LLM initiatives\n\nOpportunity to work with modern cloud and data technologies\n\nCollaborative, innovation-driven culture\n\nExposure to diverse enterprise and consulting projects\n\nWhat Success Looks LikeWithin your first year, you will:\nDeliver production-grade Microsoft Fabric and Azure data platforms.\n\nBuild scalable data architectures that support enterprise AI and LLM solutions.\n\nContribute to successful implementation of RAG, vector search, and Generative AI data foundations.\n\nImprove data quality, governance, performance, and operational efficiency across customer environments.\n\nEnable scalable analytics and AI capabilities through modern engineering practices.\n\nEstablish reusable data engineering frameworks and patterns that accelerate future Data & AI project delivery.\n\nApplication InstructionsPlease share examples of data platforms, ETL/ELT pipelines, Microsoft Fabric solutions, Azure data projects, or AI/LLM data solutions you have developed, along with any relevant Microsoft, Databricks, or AI certifications.\nSalary: DOEOriginally posted on Himalayas","description_format":"text","description_chars":9086,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"Pakistan","iso":"PK","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Artificial Intelligence"],"lifecycle":[{"event":"open","at":"2026-10-26T20:30:00Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring 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