{"id":4052040,"url":"https://alion.io/job/techstra-solutions-senior-ai-engineer-claude-databricks-techstra-solutions","title":"Senior AI Engineer – Claude & Databricks - Techstra Solutions","company":{"id":4431605,"name":"Techstra Solutions","domain":"techstrasolutions.com","url":"https://alion.io/company/techstra-solutions","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"JazzHR","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Pittsburgh, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Anthropic","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Claude","optional":false},{"name":"Databricks","optional":false},{"name":"Delta Lake","optional":false},{"name":"Embeddings","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Function Calling","optional":false},{"name":"GCP","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Machine Learning","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Azure DevOps","optional":true},{"name":"Claude Code","optional":true},{"name":"Context Engineering","optional":true},{"name":"GitHub","optional":true},{"name":"MLFlow","optional":true},{"name":"Model Context Protocol","optional":true},{"name":"Semantic Search","optional":true}],"status":"live","first_seen_at":"2026-11-11T02:14:03Z","employer_posted_date":"2026-11-11","last_verified_at":"2026-11-11T02:14:03Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Senior AI Engineer - Claude & Databricks\nPosition Summary\nWe are seeking a Senior AI Engineer with deep experience building production-grade AI solutions using Claude, combined with a strong background in data engineering and modern data platforms, including Databricks.\nThis role will design, build, and operationalize enterprise AI applications that integrate large language models with governed enterprise data. The ideal candidate combines AI/LLM engineering, software development, and data engineering, and is comfortable taking solutions from architecture and experimentation through production deployment.\nThis is a hands-on senior technical role for someone who understands not only how to use an LLM, but how to build reliable, secure, scalable AI solutions around it.\nKey Responsibilities\nAI & Claude Engineering\nDesign and develop enterprise AI applications using Anthropic Claude and Claude APIs.\nBuild LLM-powered applications including AI agents, copilots, conversational applications, RAG solutions, document intelligence, and workflow automation.\nDevelop effective prompting, structured-output, tool-use, and agentic patterns using Claude.\nBuild integrations that allow Claude-based applications to securely interact with enterprise data, APIs, applications, and business processes.\nImplement retrieval-augmented generation (RAG) architectures using structured and unstructured enterprise data.\nDevelop evaluation frameworks to measure AI solution quality, accuracy, reliability, and business effectiveness.\nImplement AI guardrails, observability, exception handling, security, and responsible AI practices.\nOptimize AI solutions for performance, reliability, scalability, and cost.\nEvaluate emerging AI patterns and determine where they provide practical business value versus unnecessary complexity.\nData Engineering & Databricks\nDesign and develop data pipelines supporting AI, analytics, and machine learning workloads.\nBuild scalable data solutions using Databricks, Spark, PySpark, Python, SQL, and Delta Lake.\nPrepare structured and unstructured enterprise data for use by LLM and AI applications.\nDesign ingestion, transformation, enrichment, chunking, metadata, and retrieval processes supporting RAG and agentic AI solutions.\nWork with Unity Catalog and enterprise governance frameworks to ensure AI solutions use governed, secure, and traceable data.\nIntegrate AI applications with lakehouse, data warehouse, API, document, and operational data sources.\nApply data quality, lineage, metadata, access control, and data governance standards to AI solutions.\nArchitecture & Production Engineering\nDefine technical architectures for enterprise AI solutions from data ingestion through model interaction and application delivery.\nMake architecture decisions across LLMs, data platforms, retrieval technologies, APIs, orchestration frameworks, and cloud services.\nDesign reusable AI services, frameworks, APIs, and components that can support multiple business use cases.\nEstablish development, testing, evaluation, deployment, and monitoring patterns for production AI applications.\nParticipate in architecture and code reviews and mentor other engineers in AI and data engineering practices.\nWork directly with business, data, architecture, security, governance, and engineering teams to translate business problems into implementable AI solutions.\nRequired Qualifications\n8+ years of software, data engineering, analytics engineering, or related technology experience, with significant recent experience building AI/ML or GenAI solutions.\nDemonstrated, hands-on experience developing applications using Anthropic Claude.\nStrong experience integrating commercial LLMs through APIs into production applications.\nExperience developing RAG, agentic AI, tool-calling, or LLM-based enterprise applications.\nStrong programming experience with Python.\nSignificant data engineering experience, including:Databricks\nApache Spark / PySpark\nSQL\nDelta Lake\nETL / ELT\nData pipelines and integration\n\nExperience designing solutions that combine LLMs with enterprise data.\nUnderstanding of embeddings, vector search, semantic retrieval, context management, and document processing.\nExperience with API development and application/system integration.\nStrong understanding of data governance, data quality, metadata, lineage, security, and access controls.\nExperience with cloud platforms such as Azure, AWS, or Google Cloud.\nExperience implementing CI/CD and modern software engineering practices.\nAbility to independently take a complex AI use case from concept and architecture through working production implementation.\nPreferred Qualifications\nExperience with Claude Code in software engineering and development workflows.\nExperience with Model Context Protocol (MCP) and tool-enabled/agentic architectures.\nExperience with Databricks Unity Catalog and governed enterprise data environments.\nExperience building AI applications against large enterprise data estates.\nExperience with vector databases/vector search, embeddings, document processing, and semantic search.\nExperience modernizing traditional analytics or data platforms to support AI use cases.\nFamiliarity with MLflow or similar model/application lifecycle and evaluation capabilities.\nExperience with Azure DevOps, GitHub, or comparable CI/CD platforms.\nExperience implementing AI governance, security, evaluation, and monitoring standards.\nWhat We're Looking For\nWe are looking for someone who sits at the intersection of three disciplines:\nAI Engineer\nDeeply understands Claude, LLM application patterns, RAG, agents, tool use, evaluation, prompt/context engineering, and production AI.\nData Engineer\nUnderstands how enterprise data is acquired, transformed, governed, secured, and made usable for AI, with meaningful hands-on Databricks experience.\nSolution Architect / Senior Engineer\nCan take an ambiguous business problem, define an appropriate AI architecture, make pragmatic technology decisions, and personally build the most critical components.\nThe right candidate should be able to design an AI solution around Claude, understand how the underlying enterprise data needs to be structured and governed in Databricks, and then be hands-on enough to build the 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now","p_open":1,"p_active":0.86,"p_room":1,"age_days":0,"expected_fill_days":36,"reasons":["conf:1","win:early"],"computed_at":"2026-11-11T03:44:36Z"},"pay":null,"html_url":"https://alion.io/job/techstra-solutions-senior-ai-engineer-claude-databricks-techstra-solutions","json_url":"https://alion.io/job/techstra-solutions-senior-ai-engineer-claude-databricks-techstra-solutions.json","meta":{"generated_at":"2026-11-11T03:44:36Z","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 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