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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in building and managing end-to-end AI solutions, including classical ML and LLM applications, while ensuring adherence to responsible AI practices. Proficient in Python, SQL, and data pipeline governance, with strong communication skills to bridge technical and non-technical stakeholders.
Highest-signal resume keywords
Python ProgrammingSQL ProficiencyLLM Application DevelopmentData Pipeline GovernancePeople Management
ATS Keywords
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Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data ScienceMachine LearningAI Solutions ArchitectureVersion ControlUnit TestingCode ReviewPrompt EngineeringMulti-Agent SystemsGenAI Evaluation FrameworksStatistical Reasoning
Soft Skills
Excellent CommunicationPresentation SkillsBusiness Needs Balancing
Tools & Technologies
DatabricksPySparkDataFrame APIsMicrosoft AzurePowerBICloud APIsCI/CDGitSnowflakeDistributed Compute Platforms
Industry Keywords
RetailQuick Service RestaurantsOperational Data GovernanceRegulatory ComplianceSensor/IoT Data
Tech Stack
Tools & technologiesAzureCloudIoTPySparkPythonSQL
About the role
Key responsibilities & impact- Identify and define opportunities aligned to Institutional & Specialty business challenges
- Drive experimentation and delivery of digital data science and AI product innovations
- Partner with digital product, marketing, sales, engineering, and internal business stakeholders to translate strategy and voice of customer into technical opportunities, builds, and lifecycle decisions
- Architect and build end-to-end AI solutions across classical ML, LLM-based applications, and multi-agent systems
- Own technical design decisions from the data layer through inference, API exposure, and product integration
- Own the production lifecycle of AI agents and models, including QA, monitoring, drift detection, prompt and version management, and retraining pipelines
- Define and track effectiveness metrics for AI features with product and commercial teams
- Design evaluation frameworks with responsible AI practices, champion/challenger pipelines, automated regression testing, guardrails, and audit logging
Requirements
What you’ll need- Bachelor's degree in Data Science, Economics, Math, Statistics or related field with an emphasis on analytics, or master's degree with 5 years of experience in progressive data roles
- 8 years of experience
- 5 years of strong Python and SQL experience
- Expert in clean, modular, production-grade code, version control, unit testing, and code review
- 1 year's experience shipping production LLM applications, including prompt engineering, RAG over vector indexes, and combining GenAI reasoning with deterministic logic
- Hands-on experience building and orchestrating multi-agent systems, including sequential handoffs, tool-calling, and scheduled or DAG-based workflows
- Proven experience building and running GenAI evaluation and quality frameworks
- Experience as a people manager
- Ability to balance business needs with technical rigor and explain approaches, assumptions, and tradeoffs to technical and non-technical audiences
- Excellent communication and presentation skills
- Hands-on experience with PySpark and DataFrame APIs on a large-scale distributed platform; Databricks strongly preferred
- Experience governing data pipelines using operational, regulatory, sensor/IoT, and third-party sources
- Immigration sponsorship is not available
- Preferred: Databricks GenAI stack, MCP servers and tools, conversational AI assistants, A2A orchestration, production AI services and APIs, Microsoft Azure, PowerBI, cloud APIs, CI/CD, EDA, statistical reasoning, metrics and evaluation design, sampling, error analysis, DevOps, git, Snowflake, distributed compute platforms, and Retail/Quick Service Restaurants experience
- Public GitHub profile or project portfolio encouraged
Benefits
Comp & perks- Annual bonus pay based on performance, per plan terms
- Comprehensive and market-competitive benefits for associates and their families
- Reasonable accommodation during the application process
- Potential customer credentialing support, including additional background screens and/or drug/alcohol testing where required