Lead technical design and delivery of Freddie Mac’s internal GenAI platform, FredAI, ensuring secure, scalable, and responsible AI solutions across the enterprise.
Compensation
This position has an annualized market-based salary range of $149,000 - $223,000 and is eligible to participate in the annual incentive program.
Responsibilities
Provide hands‑on technical leadership for architecture, design, and delivery of FredAI capabilities
Design and implement reusable reference architectures, SDKs, shared services, APIs, and integration patterns
Implement rigorous evaluation, testing, and LLMOps practices
Engineer secure, permission‑aware solutions enforcing identity, data boundaries, privacy, and responsible AI policies
Define model and platform integration patterns and cost management
Requirements
Bachelor's degree in Computer Science, Engineering, Data Science, or a related technical field
Early‑career data scientist working with AI/ML to build predictive models and generative AI solutions in a healthcare setting.
Compensation
The compensation for this role includes a base pay range of $65,000 - $85,000, with the actual pay determined by factors such as skills, experience, education, certifications, geographic location, and internal equity.
Responsibilities
Predictive modeling and machine learning
Develop, validate, and document predictive models
Perform exploratory data analysis, feature engineering, and model evaluation
Support deployment, monitoring, and retraining of models
Translate model results into clear findings, visualizations, and recommendations
Requirements
Bachelor's degree in data science, statistics, mathematics, computer science, engineering, or a related quantitative field; or 2 years of related experience; or an equivalent combination of education and experience
Early‑career data architect responsible for designing, documenting, and maintaining data structures that power analytics, reporting, and AI across the enterprise.
Compensation
The compensation for this role includes a base pay range of $65,000 - $85,000, with the actual pay determined by factors such as skills, experience, education, certifications, geographic location, and internal equity. Additional compensation may be available through shift differentials, bonuses, and other incentives.
Responsibilities
Design and maintain logical and physical data models
Support ingestion patterns and layered data structures within the enterprise lakehouse
Document schemas, table inventories, data dictionaries, and data lineage
Assist with naming standards, modeling conventions, and design guidelines
Review and optimize SQL and table structures for performance
Requirements
Bachelor's degree in computer science, information systems, data science, engineering, or a related field; or 2 years of related experience; or an equivalent combination of education and experience
Design and build the core execution layer of an AI-driven product, covering runtime orchestration, tool integration, state handling and the reliability and evaluation work that lets it run in production.
Compensation
Base salary: USD 200,000 to 300,000 per year
Responsibilities
Build a runtime that coordinates model calls, tool invocations, retries, checkpoints and handoffs to people across long-running multi-step jobs.
Structure multi-step processes as graphs linking software agents, external tools and decision points so they can be traced and resumed after a failure.
Wrap external scientific engines, data stores and laboratory systems behind well-tested interfaces.
Create evaluation harnesses, tracing and regression suites that measure outcomes at the level of the end user's task.
Help model scientists build the data pipelines that record model runs and feed results back into training.
You will join a Research and Development (R&D) team that will give you the opportunity to make a global impact, protecting our way of life in the digital age by preventing successful cyber attacks.
Compensation
$90,000.00 - $147,500.00/yr
Responsibilities
Collaborate with cross-functional teams to design, develop, and deploy software solutions with agility and rapid iteration.
Use and experiment with AI-assisted development tools (e.g., Cursor, Claude Code) to boost productivity and improve code quality.
Help define and evolve new engineering practices that leverage AI for code generation, testing, documentation, and refactoring.
Write clean, maintainable, and well-documented code, and actively participate in peer reviews and team design discussions.
Contribute to the automation of development, deployment, and monitoring processes as part of a DevOps culture.
Requirements
Bachelor's degree in Computer Science, Software Engineering, Machine Learning, or a similar technical field
The Analytics Analyst applies descriptive and prescriptive analytics to generate actionable insights from large-scale healthcare transaction data.
Compensation
At Surescripts, base pay is one part of our Total Rewards Package (which may also include bonus, benefits etc.) and is determined within a range. The base pay range for this position is $95,300 - $116,500 per year.
Responsibilities
Execute analytics workstreams under guidance, including data extraction, cleaning, feature creation, exploratory analysis, and results validation.
Build and maintain recurring reporting and dashboards that communicate key trends, performance signals, and product/customer insights.
Translate business questions into analytic tasks (metrics definitions, cohorts, time windows, segmentation) with support from senior teammates.
Attend and participate in product discovery for new products, supporting senior teammates and stakeholders as requirements take shape.
Explore available data sets and document their contents; build basic charts and prototypes so stakeholders can confirm what they need before development begins.
Requirements
Bachelor’s degree in data science, Statistics, Computer Science, Economics, Public Health, Epidemiology, Health Economics, or related field
Assist the Pricing Development team in developing, enhancing, and testing insurance pricing models and applications.
Compensation
Salary Range: $20-22.
Responsibilities
Gain knowledge of the insurance industry and how your function contributes to organizational success
Contribute to team projects, analysis, and reporting
Support the execution of day-to-day activities and special initiatives within your function
Participate in problem-solving and process improvement efforts
Communicate effectively with team members and share insights with managers and mentors
Requirements
Bachelor’s degree in a relevant field (e.g., Business, Finance, Economics, Accounting, Mathematics, Information Technology, Computer Science, Risk Management)
