{"id":3513930,"url":"https://alion.io/job/strategic-staffing-solutions-ot-artificial-intelligence-data-engineer-ace-ai-project","title":"OT Artificial Intelligence Data Engineer (ACE AI Project)","company":{"id":2027987,"name":"Strategic Staffing Solutions","domain":"strategicstaff.com","url":"https://alion.io/company/strategicstaff","size_band":"5000+","is_staffing_agency":true,"employer_type":"agency","is_intermediary":false,"listed_via":null,"ats_vendor":"Schema","truth_index":{"grade":"B","score":78,"open_postings":9,"ghost_share":0,"stale_share":0.889,"repost_share":0,"time_to_fill_p50_days":23,"computed_at":"2026-10-30T05:48:23Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Argentina"],"countries":["AR"],"hiring_countries":["AR"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":40000,"max_usd":104000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":2679},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"AI Agents","optional":false},{"name":"CI/CD","optional":false},{"name":"Computer Vision","optional":false},{"name":"Least Privilege","optional":false},{"name":"Machine Learning","optional":false},{"name":"Physical AI","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Synthetic Data","optional":false},{"name":"Time Series","optional":false},{"name":"Azure","optional":true},{"name":"Databricks","optional":true},{"name":"Digital Twin","optional":true},{"name":"Feature Store","optional":true},{"name":"Knowledge Graph","optional":true},{"name":"Microsoft Fabric","optional":true},{"name":"MQTT","optional":true},{"name":"Multimodal AI","optional":true},{"name":"OPC UA","optional":true},{"name":"RAG","optional":true}],"status":"live","first_seen_at":"2026-10-29T00:00:00Z","employer_posted_date":"2026-10-29","last_verified_at":"2026-10-30T14:31:37Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":2},"description":"OT Artificial Intelligence Data Engineer\nOT Artificial Intelligence | OT Product Line\nPosition Overview\nWe are seeking an OT Artificial Intelligence Data Engineer to design, build and operate trusted data pipelines and data products that enable AI solutions in industrial environments. This role transforms high-volume operational, engineering, inspection and contextual data into secure, reliable and AI-ready datasets for computer vision, predictive analytics, generative AI, agentic systems and physical AI.\nThis position is part of an industrial AI team and provides hands-on data engineering leadership and delivery support for operational technology (OT) AI use cases. The role develops reusable ingestion, transformation, contextualization and serving patterns that connect industrial data sources with AI development, training, validation and inference workflows across edge, on-premises and cloud environments.\nThe team is highly technical, creative and cross-functional. The Data Engineer will work with industrial domain experts, data scientists, AI engineers, solution architects, cybersecurity teams and operations personnel to make industrial data discoverable, understandable, governed and fit for AI.\nSuccess means shortening the path from raw OT data to dependable AI outcomes without compromising safety, cybersecurity, data integrity or operational reliability.\nHigh-Level Job Description / Scope\nThis is a dedicated data engineering role supporting industrial AI initiatives. It covers the acquisition, integration, transformation, contextualization, quality, governance and delivery of industrial data used to develop and operate AI solutions.\nThe role works across historians, control and automation platforms, engineering systems, sensors, images, video, documents, event streams and enterprise data platforms to provide secure, scalable and reusable AI-ready data products.\nKey Responsibilities\nDesign, build, test and operate batch and streaming data pipelines that acquire data from industrial and engineering sources for OT AI use cases.\n\nCreate reusable ingestion and transformation patterns for time-series data, events, alarms, sensor telemetry, images, video, documents and maintenance or inspection records.\n\nContextualize data using asset hierarchies, equipment identifiers, engineering metadata, spatial relationships, operational states and semantic models.\n\nDevelop curated, versioned and documented datasets for AI model training, validation, testing, inference and performance monitoring.\n\nImplement automated data profiling, validation, reconciliation and quality controls for completeness, accuracy, timeliness, consistency and traceability.\n\nMaintain data lineage, provenance, schemas, metadata, retention rules and access controls for industrial AI data products.\n\nEngineer secure data movement across OT security zones and approved edge, on-premises and cloud environments in alignment with established architecture and cybersecurity requirements.\n\nOptimize pipelines and storage for high-volume, high-velocity and intermittently connected industrial environments while controlling latency, reliability and cost.\n\nBuild observability for data pipelines and data products, including freshness, failures, schema drift, quality degradation and downstream impact.\n\nSupport data labeling, annotation, sampling, balancing and synthetic-data workflows for computer vision and other industrial AI models.\n\nPartner with data scientists and AI engineers to define features, training datasets, ground truth, evaluation data and production inference interfaces.\n\nProduce technical documentation, data contracts, source-to-target mappings, data flow diagrams, runbooks and operational support procedures.\n\nContribute actively within an Agile delivery team and continuously improve shared data engineering standards, components and practices.\n\nRequired Qualifications\nBachelor's degree in Computer Science, Data Engineering, Software Engineering, Information Systems or a related field, or equivalent experience.\n\nFive or more years of experience building and supporting production data pipelines, data platforms or data products.\n\nStrong programming skills in Python and SQL, including testing, debugging, performance optimization and maintainable software engineering practices.\n\nExperience with batch and streaming data integration, APIs, message brokers, event processing and structured and unstructured data.\n\nExperience implementing data quality, schema management, lineage, metadata, observability and automated pipeline monitoring.\n\nExperience preparing, curating and versioning training, validation and inference datasets for machine learning or AI workloads.\n\nWorking knowledge of industrial data sources such as process historians, automation systems, sensors, alarms, engineering data, maintenance data, images or video.\n\nUnderstanding of OT cybersecurity, network segmentation, least-privilege access and secure data movement across industrial environments.\n\nExperience with cloud and hybrid data services, containerized workloads, source control, CI/CD and infrastructure or configuration automation.\n\nAbility to translate data needs among operations personnel, OT engineers, data scientists, AI engineers, architects and cybersecurity reviewers.\n\nDemonstrated ownership of reliable production data services, including troubleshooting, incident response, documentation and continuous improvement.\n\nPreferred Qualifications\nMaster's degree in Computer Science, Data Engineering, Artificial Intelligence or a related field.\n\nExperience with Microsoft Azure data and AI services, Microsoft Fabric, Azure Data Lake Storage, Azure Databricks or equivalent platforms.\n\nExperience with industrial connectivity and data technologies such as OPC UA, MQTT, historians, edge gateways or industrial IoT platforms.\n\nExperience with time-series, lakehouse, graph, vector or geospatial data stores and selecting the right storage pattern for an AI use case.\n\nExperience with semantic models, knowledge graphs, digital twins, asset hierarchies or industrial data contextualization.\n\nExperience engineering image and video datasets for computer vision, including annotation, augmentation, quality review and large-file handling.\n\nExperience with feature stores, vector databases, retrieval-augmented generation data pipelines or multimodal AI data preparation.\n\nExperience deploying data processing at the edge in constrained, intermittently connected or disconnected environments.\n\nFamiliarity with MLOps, model monitoring and the relationship between data drift, model performance and retraining.\n\nExperience in industrial environments, including energy, manufacturing or other asset-intensive industries, and comfort working directly with asset and operations personnel.\n\nCritical Selection Criteria\n1. Technical Capability\nDemonstrated ability to engineer reliable, observable and secure industrial data pipelines and AI-ready data products across edge, on-premises and cloud environments.\n2. Data Quality and Context\nAbility to assess source-data limitations, establish trustworthy quality controls, and contextualize data so AI teams and operations personnel can use it correctly.\n3. OT and AI Understanding\nKnowledge of industrial operations, OT constraints and the data lifecycle required to develop, deploy and monitor dependable AI solutions.\n4. Collaboration and Communication\nAbility to translate operational and AI requirements into clear data contracts, technical designs, delivery priorities and supportable solutions.","description_format":"text","description_chars":7559,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":true},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"Argentina","iso":"AR","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Artificial Intelligence","Information Security"],"lifecycle":[{"event":"open","at":"2026-10-30T09:25:14Z"}],"visa":[],"liveness":{"score":52,"band":"ok","label":"Likely open","p_open":1,"p_active":0.516,"p_room":1,"age_days":2,"expected_fill_days":23,"reasons":["conf:9","agency","win:early","comp:brand"],"computed_at":"2026-10-31T00:09:30Z"},"pay":null,"html_url":"https://alion.io/job/strategic-staffing-solutions-ot-artificial-intelligence-data-engineer-ace-ai-project","json_url":"https://alion.io/job/strategic-staffing-solutions-ot-artificial-intelligence-data-engineer-ace-ai-project.json","meta":{"generated_at":"2026-10-31T00:09:30Z","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":215,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-01T00:00:00Z"}},"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":2027987},"rest":"https://alion.io/mcp/rest/get_company?id=2027987"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fstrategic-staffing-solutions-ot-artificial-intelligence-data-engineer-ace-ai-project"},{"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%2Fstrategic-staffing-solutions-ot-artificial-intelligence-data-engineer-ace-ai-project"},{"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%2Fstrategic-staffing-solutions-ot-artificial-intelligence-data-engineer-ace-ai-project"},{"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/strategic-staffing-solutions-ot-artificial-intelligence-data-engineer-ace-ai-project\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fstrategic-staffing-solutions-ot-artificial-intelligence-data-engineer-ace-ai-project"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3513930}},{"tool":"search_jobs","arguments":{"company":"strategicstaff.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3513930},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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