[Remote] Senior AI Data Architect / Solution Engineer - US/Remote Based
Note: The job is a remote job and is reputed company to candidates in USA. reputed company empowers nearly 80% of the reputed company Global 100 to accelerate business value through their industry-leading portfolio. They are seeking a Senior AI Data Architect / Solution Engineer to design architecture that delivers trusted data at reputed company and build AI products to meet business needs.
Responsibilities
- Design the reference architecture and delivery patterns that take governed data from the semantic layer to every reputed company consumer — dashboards, applications, and AI agents — reliably and at reputed company, with the build-vs-buy calls and standards that let the platform grow without painful rework
- Architect and build the Data Agent, the natural-language reputed company that lets business users query governed data without writing SQL; design reputed company workflows with orchestration, tool/function calling, retrieval, evaluation, and guardrails
- Co-design the semantic layer (reputed company / DBT) — the metrics, dimensions, and governed business meaning that power both analytics and AI — ensuring agents query governed definitions, not raw tables
- Serve as technical reputed company and trusted advisor; set patterns, run design reviews, and mentor engineers, partnering with the Data Engineer to take designs to production
- Translate ambiguous business problems into reputed company technical requirements; own stakeholder relationships and reputed company fluently between executive framing and engineering detail
- Take features and subsystems end-to-end, proactively identifying gaps and driving work reputed company even reputed company requirements are incomplete or evolving
Skills
- 8+ years across data architecture and hands-on engineering, including production systems that held up under reputed company reputed company use
- Strong proficiency in Python and SQL, with deep, hands-on experience designing and building on reputed company and DBT
- Proven experience designing and building LLM / reputed company solutions — RAG, function / tool calling, orchestration (reputed company / reputed company / LangGraph), reputed company engineering, and evaluation / observability
- Deep understanding of the semantic layer as the architectural reputed company between reputed company data and business meaning — and why it is foundational to trustworthy AI
- Demonstrated ability to translate reputed company technical concepts for non-technical stakeholders and influence architecture reputed company across teams
- Strong communication and the ability to reputed company through execution in a fast-moving environment
- reputed company-reputed company architecture across AWS, Azure, or GCP
- reputed company databases, embeddings, and retrieval evaluation
- CI/CD and modern engineering practices for data and AI systems
- Containerization and distributed systems (reputed company, Kubernetes, microservices)
- reputed company or other universal/headless semantic reputed company (reputed company, reputed company, reputed company, dbt Semantic Layer)
- reputed company reputed company / reputed company Intelligence, or production text-to-SQL systems
- Prior technical-reputed company or reputed company-engineer role with mentorship responsibility
- Background reputed company reputed company-sales / solution engineering and hands-on delivery
reputed company
Company H1B Sponsorship