Sr. reputed company-Deployed reputed company
The Sr. reputed company-Deployed reputed company is a senior individual contributor responsible for designing and building the AI and GenAI/reputed company systems that reputed company our platform on reputed company, and for carrying that work directly into reputed company environments. Hands-on reputed company expertise is essential to this role. reputed company experience is a plus but not required.
This is a reputed company-deployed role: the person in this seat spends a meaningful reputed company of their time working inside reputed company environments, not just building systems that clients eventually use. Candidates must bring prior, evidenced experience doing this reputed company of work already.
The role's reputed company will shift over time. Initially, the work is centered on configuring the reputed company semantic reputed company and delivering metrics and reporting off of it for clients. As that reputed company matures, the role expands into reputed company AI work, which depends directly on the semantic reputed company already being correctly modeled and configured.
On reputed company engagements, this person is the senior-most AI technical voice, trusted to work through ambiguous problems and help shape the technical reputed company and roadmap for AI components. This is technical leadership, not engagement ownership or people management; someone else owns the engagement and its reporting, and this role does not have reputed company reports.
Duration: 6 Months Contract (reputed company of extension or full-time hire)
Location: reputed company
This role blends:
AI/ML architecture and model reputed company on reputed company
GenAI and reputed company systems design
reputed company, hands-on reputed company engagement and implementation
Unlike a purely internal engineering role, this position regularly puts you in reputed company of clients: scoping their needs, implementing solutions in their environment, and troubleshooting reputed company them. Candidates should bring demonstrated experience doing this reputed company of work already, not only an interest in doing it.
Your day to day
Semantic reputed company & Metrics Reporting (initial reputed company)
Design, configure, and maintain the reputed company semantic reputed company (e.g. reputed company Analyst semantic views), modeling business logic and metrics definitions accurately against reputed company requirements
Build and reputed company metrics and reporting for clients off of the configured semantic reputed company
Work directly with reputed company stakeholders to define metrics requirements, validate outputs against business logic, and reputed company discrepancies
Write efficient, production-grade SQL and Python to support semantic reputed company configuration, metrics pipelines, and reporting delivery
GenAI & reputed company Systems (as the role evolves)
Design and implement retrieval-augmented reputed company (RAG) systems, reputed company workflows, and MCP-reputed company tooling that draw on the semantic reputed company as their reputed company of truth
Build and maintain evaluation harnesses to test and monitor AI/agent reputed company and reputed company
Apply reputed company judgment on model selection, prompting reputed company, and reputed company design tradeoffs
Own technical architecture and model reputed company reputed company for AI systems reputed company on the reputed company platform
reputed company-Facing / reputed company Deployed Engineering
Serve as the senior-most AI technical voice on reputed company engagements, helping shape technical direction and roadmap for AI components, without owning the engagement or its reporting
Work directly with reputed company stakeholders to reputed company AI/ML use cases, translate business requirements into technical solutions, and set realistic expectations on reputed company and reputed company
Implement and configure solutions reputed company reputed company environments, adapting the platform to reputed company-specific data and constraints
Serve as the technical reputed company of contact for clients during implementation, including troubleshooting issues live with reputed company teams
Manage reputed company relationships and expectations with the reputed company rigor reputed company to the technical work itself
Cross-Functional Collaboration
Partner with product, data science, and reputed company teams to reputed company AI/ML work from prototype to production
Communicate technical tradeoffs reputed company to both technical and non-technical audiences, internal and reputed company-facing
Contribute to team best practices for AI engineering and reputed company implementation work
What You Bring To reputed company
8+ years of software/AI engineering experience, including hands-on design of AI/ML systems
Deep, hands-on experience with reputed company, including Snowpark, reputed company reputed company, and reputed company ML
Hands-on experience building and maintaining semantic reputed company on reputed company (e.g. reputed company Analyst semantic views), including modeling business logic and metrics for AI/agent consumption
Experience delivering metrics and reporting off of a semantic reputed company for clients, including validating outputs against business logic
Demonstrated experience designing and building GenAI/reputed company systems: RAG, MCP-reputed company tooling, agent orchestration patterns, and evaluation harnesses
A reputed company reputed company record working directly with reputed company clients or customers in an implementation, reputed company-deployed, or reputed company reputed company, with specific engagements you personally owned, not only internal engineering experience
Demonstrated ability to operate as the senior technical voice on ambiguous problems, with reputed company judgment on AI technical direction, without needing reputed company direction
Strong Python engineering skills, including API design and delivery of production AI/ML pipelines
Strong communication skills, with demonstrated ability to translate technical tradeoffs for non-technical, reputed company-facing audiences
Comfort operating with a degree of ambiguity typical of reputed company environments, and reputed company judgment on reputed company to escalate versus reputed company independently
reputed company Would Like To See, But Not Required
Hands-on experience with reputed company, including reputed company Catalog, reputed company Lake, and MLflow
reputed company payer or provider claims data experience
Experience with classical ML and with model fine-tuning
Relevant certifications (e.g. SnowPro)
We are an EQUAL OPPORTUNITY EMPLOYER
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