Data & AI Architect

🔥 16 hours ago

🇵🇭 Philippines – Remote

⏰ Full Time

🟠 Senior

🔴 Lead

🤖 AI Engineer

👻 Ghost score 12%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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DysrupIT

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2016

🏢 Enterprise

☁️ SaaS

🔒 Cybersecurity

Enterprise • SaaS • Cybersecurity

DysrupIT is a global cloud services and IT solutions firm that helps organizations adopt cloud technologies and transition to as-a-Service business models. The company provides enterprise cloud, managed services, application engineering, cybersecurity, and data analytics & information management, serving SMBs through multinational enterprises with Microsoft and other cloud platforms. DysrupIT also emphasizes community impact, talent development, and long-term partnerships to deliver secure, scalable, and business-aligned technology outcomes.

📋 Description

• Lead pre-contract technical solutioning and subsequent delivery, preserving continuity from proposal to production • Split time approximately equally between client engagement and delivery, flexing with the pipeline • Shape technical approaches, challenge problem statements and facilitate discovery workshops • Produce target-state architectures, build sequences, proposal assumptions, exclusions, risks and defensible estimates • Design four-to-six-week proofs of concept and serve as technical peer to client architects, data leaders and CIOs • Own end-to-end architecture and, where required, lead delivery, scope, stand-ups and client technical activities • Implement demanding components and reference solutions hands-on • Deliver Databricks lakehouses, including medallion layers, Unity Catalog, Delta Lake, ingestion and orchestration • Build production generative AI systems covering RAG, agents, evaluation, prompt/context engineering, cost and latency • Set CI/CD, infrastructure-as-code, testing, observability and cost standards • Mentor client engineers and manage production readiness and handover • Turn delivery experience into reference architectures, accelerators, templates and estimation models • Contribute to Frontier Academy and maintain current recommendations across Databricks, Microsoft and Anthropic • Help shape and eventually lead a small delivery team, including recruitment

🎯 Requirements

• About eight years in data/AI engineering and architecture, including three years with substantive design authority and senior client-facing consulting exposure • Databricks experience: lakehouse architecture, Delta Lake, Unity Catalog, Spark/PySpark, Lakeflow or Delta Live Tables, orchestration, performance and cost optimisation • Azure/Microsoft experience: Data Factory or Fabric, ADLS, Azure OpenAI or AI Foundry, Entra ID and networking • Production generative AI experience with RAG, vector stores, agents/tool use, evaluation, guardrails and prompt/context engineering, including Claude or an equivalent frontier model • Strong production Python and SQL • Sound data-modelling judgement across dimensional, data vault and wide denormalised approaches • DevOps/MLOps fundamentals: version control, CI/CD, infrastructure as code, containers and monitoring • Excellent written and spoken English for executive proposals, decision records and presentations • Databricks Professional or Azure Solutions Architect Expert certification (desirable) • Big Four, global systems integrator or specialist consultancy experience, including bids, statements of work and estimation (desirable) • Applied responsible AI governance and delivery experience in financial services, retail or travel (desirable) • Experience with Australian/APAC clients, Snowflake, dbt, Power BI or Fabric, and mentoring small engineering teams (desirable)

🏖️ Benefits

• No benefits, perks, or compensation extras are specified