Senior Forward Deployed Data Engineer responsible for designing, building, and deploying high-impact analytics and AI solutions for internal stakeholders.
Compensation
$125,000—$156,300 USD
Responsibilities
Embed closely with business stakeholders to deeply understand their data and AI requirements
Run launch discovery and impact analysis for new assays or products
Translate complex business challenges into clear technical specs and deliverable milestones
Adhere to engineering standards for pipeline design, data modeling, testing, version control and CI/CD
Design, build, and maintain scalable data pipelines and transformations on cloud data platform
Requirements
Bachelor’s or Master’s degree in Computer Science, Engineering, or a related quantitative field
Lead client-facing AI engineering work within PwC’s Advisory practice, designing, implementing, and deploying AI solutions for health sector use cases.
Compensation
The salary range for this position is: $124,000 - $280,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus.
Responsibilities
Leading applied AI and health system engineering workstreams from design through deployment for client engagements
Translating health services and clinical operations needs into AI solution requirements, reference architectures, and delivery roadmaps
Designing retrieval, memory, prompt, and agent orchestration components that support scalable model usage across production environments
Guiding data wrangling, model integration, and software implementation activities across cloud-based AI platforms
Evaluating model behavior through benchmark testing, human review, and scoring methods to validate performance and reliability
Requirements
Bachelor's degree
Nice to have: Experience delivering production AI or GenAI use cases in a health system environment
Nice to have: Hands‑on experience building RAG pipelines or agentic AI workflows against clinical data sources
Nice to have: Experience with MLOps platforms and model governance practices in regulated, PHI‑handling environments
Senior Data Scientist/AI Application Solutions Engineer
Model complex business problems and discover insights using statistical, algorithmic, mining, and visualization techniques; develop and deploy AI and data science solutions for enterprise.
Compensation
Salary Ranges: $84,000.00 - $141,750.00
Responsibilities
Model complex business problems and discover insights using statistical, algorithmic, mining, and visualization techniques
Conduct experiments and methodologies to generate and collect data for business use
Mine available data to identify trends and patterns and generate insights for LOBs and senior leadership
Partner with LOBs to identify questions and issues for data analysis and experiments
Perform complex statistical analysis on experimental or business data to validate and quantify trends or patterns
Requirements
Bachelor’s degree in computer science, data science, statistics, economics, or related functional area; or equivalent experience
Nice to have: Experience developing and deploying AI, generative AI, and analytics solutions that enable enterprise knowledge discovery, automation, and decision support
Nice to have: Experience partnering across the full solution lifecycle
Nice to have: Demonstrated ability to deliver scalable, secure, and maintainable solutions leveraging generative AI, intelligent agents, and advanced analytics technologies
Nice to have: Experience designing and implementing AI-enabled solutions using large language models (LLMs), machine learning capabilities, vector embeddings, semantic search, Snowflake Cortex, and other emerging AI technologies
As a Senior Security Architect on the Applied Field Engineering team, you will drive strategic customer engagements and build the prescriptive frameworks required for the modern era, transitioning customers from legacy siloed tools to a unified Security Data Architecture.
Compensation
estimated base salary range for this role is $140,000 - $183,700.
Responsibilities
Drive strategic engagements focused on the Security Architecture, ensuring robust foundations across Identity, Data, and Infrastructure.
Support customer strategy for secure AI adoption, leveraging Snowflake Cortex.
Architect trusted Agentic AI frameworks where Cortex Agents operate within governed boundaries.
Deploy Cortex Guard and AI Observability to filter harmful content.
Ensure AI governance by enforcing Role-Based Access Control (RBAC) and data masking.
Senior Forward Deployed Data EngineerNewNatera · Remote, US
Security Architect, Applied Field EngineeringSnowflake · Menlo Park, US