{"id":5971,"url":"https://alion.io/job/workana-enterprise-data-ai-orchestration-architect","title":"Enterprise Data & AI Orchestration Architect","company":{"id":2402,"name":"Workana","domain":"workana.com","url":"https://alion.io/company/workana","size_band":null,"is_staffing_agency":true,"employer_type":"agency","is_intermediary":true,"listed_via":null,"ats_vendor":"Workable","truth_index":{"grade":"A","score":92,"open_postings":29,"ghost_share":0,"stale_share":0.31,"repost_share":0,"time_to_fill_p50_days":58,"computed_at":"2026-10-28T05:59:10Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"staff","employment_type":"contractor","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":[],"countries":[],"hiring_countries":["BR","AR","CO","MX","PE","UY"],"hiring_countries_total":6,"salary":{"min":null,"max":50,"currency":"USD","period":"hour","gross":null,"usd_annual":100000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AutoGen","optional":false},{"name":"Azure","optional":false},{"name":"Copilot","optional":false},{"name":"Copilot Studio","optional":false},{"name":"Databricks","optional":false},{"name":"dbt","optional":false},{"name":"Kubernetes","optional":false},{"name":"LangChain","optional":false},{"name":"LlamaIndex","optional":false},{"name":"Machine Learning","optional":false},{"name":"MLFlow","optional":false},{"name":"OpenAI","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Semantic Kernel","optional":false},{"name":"Snowflake","optional":false}],"status":"live","first_seen_at":"2026-05-06T00:00:00Z","employer_posted_date":"2026-05-06","last_verified_at":"2026-10-28T16:21:14Z","board_verified":true,"closed_at":null,"days_open":175,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":175},"description":"Xenon7 is looking for a Fractional Enterprise Data & AI Orchestration Architect to support senior-level client conversations, technical discovery, and architecture validation for enterprise AI initiatives.\nThis is a part-time advisory role, ideal for someone with deep experience designing enterprise data platforms, AI orchestration layers, MLOps practices, and production-grade GenAI systems. You will help Xenon7 validate technical decisions, shape AI/data proposals, and bring senior credibility to conversations with CTOs, Chief Data Officers, and platform engineering leaders.\nThis is not a full-time delivery role. The expected commitment is around 10-20 hours per month on an advisory retainer.\nResponsibilities\nJoin technical discovery and deep-dive conversations with enterprise technology leaders.\nAdvise on enterprise AI, data platform, and orchestration architecture.\nSupport XData and orchestration-layer POCs by validating architecture decisions.\nReview client proposals to ensure the proposed solutions are technically sound and realistic.\nProvide guidance on MLOps, observability, AI evaluation, and production AI governance.\nContribute to thought leadership, such as technical content, conference talks, or market-facing insights.\nHelp Xenon7 identify risks, trade-offs, and best practices when designing AI solutions for complex enterprise environments.\nRequirements\nAdvanced academic background in Computer Science, Machine Learning, Data Engineering, or a related field. PhD preferred; Master’s degree also considered.\nDeep hands-on experience building enterprise data platforms in complex, multi-system environments.\nStrong experience with production AI/ML systems, MLOps, observability, evaluation frameworks, and AI governance.\nExperience with agentic or GenAI orchestration frameworks such as LangChain, LlamaIndex, AutoGen, Semantic Kernel, or similar.\nAbility to advise senior technical stakeholders, including CTOs, CDOs, data leaders, and platform engineering teams.\nStrong architectural judgment and ability to identify what is technically realistic, scalable, and enterprise-ready.\nStrong English communication skills.\nBonus: experience with Microsoft AI ecosystem tools such as Azure AI, Azure OpenAI, Copilot, or Copilot Studio.\nBonus: experience with Snowflake, Databricks, MLflow, Kubernetes, Airflow, dbt, or similar enterprise data/AI tooling.\nBenefits\nAdvisory retainer up to USD $50/hour\nFractional advisory engagement: approximately 10-20 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