Application Security

Application Security Data Jobs

53 jobs found

Today

IT Sr. Data Scientist

Hackensack Meridian Health Iselin, NJ

Iselin, NJ

Today

$172k+/yr Full time Senior Application Security Artificial Intelligence

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Job Description

Hackensack Meridian Health is hiring an IT Senior Data Scientist for onsite work in Iselin, NJ.

Responsibilities

Partner with HMH stakeholders to capture objectives, brainstorm AI/ML approaches, and document solution paths.
Lead exploratory data analysis to assess available data for each business objective and evaluate fit for AI/ML solutions.
Optimize Large Language Model (LLM) output using prompt engineering; build RAG pipelines.
Develop AI/ML models aligned to business goals using available data; evaluate model options and determine optimal approaches and performance characteristics.
Create repeatable, interpretable, and scalable models that integrate into analytic data products.
Engineer features by applying business context to combine data sources in new ways.
Write production-quality pipeline code to load data, run models, and store results.
Run AI/ML analyses including fairness, bias, and equity audits, performance assessments, impact assessments, and interpretability reporting.
Develop Python code that works cohesively with data engineers, software engineers, and data analysts.
Communicate ML/AI methodology and impact to senior management to support strategic decision-making.
Proactively communicate with stakeholders about concerns related to changes in work schedules.
Lead and manage complex projects with multiple stakeholders and teams; build and maintain relationships with senior management and clients.
Mentor and coach junior team members on ML/AI techniques and best practices; set goals and expectations for project teams.
Adhere to HMH organizational competencies and standards of behavior.
Perform other duties and/or projects as assigned.

Requirements

Bachelor’s degree in STEM or a related/relevant field.
4+ years of experience in a data science role, or 5+ years in a data engineering, analyst, or architecture role.
Extensive Python development experience.
Extensive SQL experience.
Proficiency developing and interpreting complex statistical models and a range of machine learning models.
Strong understanding of clinical data, including very proficient querying and use of clinical data.
Ability to deploy custom ML/AI models to a cloud platform and write production code for complex models.
Experience optimizing LLM output with prompt engineering and model fine-tuning, plus the ability to create RAG pipelines.
Ability to create custom model monitoring solutions as needed.
Ability to work effectively with technical and non-technical stakeholders.
Excellent written and verbal communication skills.
Proficiency with computer tools including Microsoft Office and Google Suite.

Preferred

Master’s / PhD.
5+ years of data analysis experience in healthcare.
Proficiency in Epic Clarity clinical data models.
Experience with Google Cloud Platform (e.g., BigQuery, VertexAI).
Experience with Git and GitHub.
Experience with Docker.

Education, Certifications, and Licenses (Preferred)

Epic Clarity Data Model.
Epic Clarity Clinical Data Model.
Google Machine Learning Engineer Certification.

Technologies

Python, SQL
Large Language Models (LLM), RAG
Epic Clarity, Caboodle
Git, GitHub, Docker
Google Cloud Platform, BigQuery, VertexAI
Google Suite, Microsoft Office

Compensation

USD 171,662 per year

Benefits

Health insurance
Dental insurance
Vision insurance
Paid leave
Tuition reimbursement
Retirement benefits

Travel Requirements

Onsite travel to Iselin, New Jersey for 1 week each quarter.

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3d ago

AI Engineer Associate Consultant

ZS Princeton, NJ

Princeton, NJ

3d ago

Full time Backend Developer Agentic Workflows Ai Engineer

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Job Description

ZS offers a deeply collaborative environment with a comprehensive total rewards package that supports health and well-being, financial future, time away, and professional development. You’ll also have access to robust skills-building programs, multiple career progression paths, and internal mobility. The role follows a Flexible and Connected working model with hybrid flexibility, milestone training aligned to growth, and cross-functional skill development through custom learning pathways.

Hybrid location: Princeton, NJ (hybrid). ZSers are onsite at clients or ZS offices three days a week, with the ability to work remotely two days a week.

What you’ll do

Own architecture design and development of scalable, distributed software systems.
Translate business needs into technical requirements and drive end-to-end execution across analysis, design, coding, testing, and deployment.
Design, develop, and deploy LLM-based pipelines including patterns such as RAG and agentic workflows, with support for PEFT approaches like LORA and QLORA.
Make data-driven decisions focused on achieving product goals, ensuring code quality, meeting deadlines, and efficient resource allocation.
Use responsible AI guardrails by designing and deploying prompt and response controls aligned to responsible AI requirements.
Implement DevOps practices using Docker and Kubernetes, including writing DevOps scripts for automation and monitoring.
Support production-grade delivery by leveraging cloud services on AWS and/or Azure (for example: IAM, Monitoring, Load Balancing, Autoscaling, database and networking, storage, ECR, AKS, ACR).
Build governance from data to model outputs using Databricks, especially Unity Catalog.
Collaborate with cross-functional teams, conduct code reviews, and provide guidance on software design and best practices.

What you bring

Bachelor’s degree in computer science, Information Technology, or a related field (or equivalent work experience).
Strong coding skills with proficiency in Python and JavaScript.
Experience building with API frameworks such as FastAPI and Django (stateless and stateful).
Proficiency with AWS, Databricks, and Azure.
Experience with Infrastructure-as-Code, especially Terraform and CloudFormation.
Knowledge of LLM patterns including RAG, Vector DB, Hybrid Search, agent development, agentic workflows, and prompt engineering.
Hands-on experience with LLM APIs such as OpenAI, Anthropic, and AWS Bedrock, plus SDKs like LangChain and DSPy.
Hands-on DevOps experience with Docker and Kubernetes, and AWS services such as Redshift, RDS, and S3.
Hands-on Databricks experience including Unity Catalog.
Experience with production deployments for thousands of users, including capabilities such as Redis and Vector Search.
Strong understanding of scalable application design, plus security best practices and compliance with privacy regulations.
Good software engineering practices with Git, Azure DevOps preferred, and Agile or Scrum.
Strong communication skills to convey complex technical concepts to diverse audiences.
Experience with SDLC and best practices, and experience with Agile methodology for continuous product development and delivery.

How you’ll grow

Cross-functional skills development and custom learning pathways.
Milestone training programs aligned to career progression opportunities.
Internal mobility paths that support growth through s-curves, individual contribution, and role expansion.

Travel

Travel is required for client-facing ZSers. Some projects may be local, but you should be prepared to travel as needed.

Work authorization

This position is not eligible for visa sponsorship. Candidates must have authorization to work in the United States that does not now or in the future require employer sponsorship.

How to apply

Submit an online application, including a full set of transcripts (official or unofficial).

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5d ago

Agentic AI Engineer, Expert

PG&E Corporation Oakland, CA

Oakland, CA

5d ago

$140k - $238k/yr Full time Agentic Ai Agentic Ai Platform Ai Agent

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Job Description

The Agentic AI Engineer, Expert will lead the architecture and design of PG&E’s AI ecosystem, setting technical standards and reference patterns for agentic capabilities, enterprise AI platforms, and knowledge enablement solutions. This hybrid role is based in Oakland, California.

Role Summary

In this position, you will serve as the principal architecture authority for AI platforms and emerging AI technologies across PG&E. You will define architecture standards, reference patterns, and strategic technical direction for Agentic AI platforms, AI Foundation services, MCP integrations, AI Gateways, retrieval platforms, knowledge systems, and related enterprise AI solutions.

Responsibilities

Collaborate with AI Product Owners to define AI platform architecture, standards, reference architectures, and roadmaps.
Establish enterprise AI foundational architecture and shared services technical strategy.
Create reusable architecture patterns for AI applications and services.
Align AI platform investments with business strategy and enterprise priorities.
Prototype new Agentic patterns and explore open sourced solutions and frameworks.
Architect multi-agent systems, autonomous workflows, and intelligent orchestration capabilities.
Define Agent-to-Agent (A2A) communication and Human-in-the-Loop (HITL) design standards.
Develop reusable Agentic AI architecture patterns and implementation frameworks, including guidance for enterprise adoption.
Establish architecture standards for AI Gateways and enterprise AI traffic management.
Define MCP architecture and enterprise connectivity patterns.
Architect secure integrations between AI platforms and enterprise systems.
Develop reusable AI integration frameworks and reference solutions.
Architect enterprise RAG, semantic search, vector database, and knowledge graph platforms.
Define enterprise context management and retrieval architecture patterns.
Establish reference architectures for enterprise knowledge services and provide architectural leadership for AI-powered knowledge enablement solutions.
Build evals for RAG and KnowledgeGraph systems and use them in production for drift detection.
Partner with Cybersecurity teams to define AI security guardrails and platform architecture controls.
Establish AI governance and Responsible AI architecture standards, and review solution architectures for security, privacy, compliance, and risk requirements.
Design enterprise AI solutions that embed FinOps principles by default, covering model selection, infrastructure utilization, cost transparency, governance, and scalability to maximize business value while controlling operational spend.
Lead enterprise AI architecture reviews and strategic design sessions, and advise business and technology leaders on enabling AI use cases.
Evaluate emerging AI technologies and platform capabilities.
Mentor architects and engineering teams across the organization.

Required Qualifications

Bachelor’s degree in Computer Science, Engineering, Information Technology, Artificial Intelligence, or equivalent work experience in computer science, information technology, business administration, engineering, or other relevant field required.
5 years of experience in Cloud Architecture, Solution Architecture, Platform Architecture, or Enterprise Architecture.
AWS Associate Certification, or equivalent cloud platform certification.

Relevant Technologies

AWS
AWS Associate Certification
MCP
Copilot Studio
Azure AI Foundry
AWS Bedrock
RAG
Semantic search
Vector database
Knowledge graph
FinOps
API-based platforms
DevSecOps
GenAIOps
AI observability
Human-in-the-Loop (HITL)
Agent-to-Agent (A2A)

Department Context

The AI and Cloud Engineering Team defines PG&E’s enterprise AI and Cloud platform technical roadmap and strategic architecture standards, including Agentic AI patterns, MCP integrations, AI Gateway services, knowledge platforms, and AI Foundation capabilities. The team provides design and engineering leadership for enterprise AI adoption and builds scalable, secure, governed AI foundational capabilities aligned with business and technology objectives.

Work Location and Schedule

Location: Oakland, CA (hybrid)
Hybrid setup: working from the employee’s remote office and PG&E’s Oakland headquarters based on business need.
Assigned work location will be within the PG&E Service Territory.

Salary and Pay Range

Full salary/pay range is provided; actual pay is based on multiple factors including internal equity, specific skills, education, licenses or certifications, experience, market value, and geographic location.
Expected range around the minimum and the midpoint: USD 140,000 - USD 189,000.
Bay Area minimum: USD 140,000; Bay Area maximum: USD 238,000.
Final decision will be made case-by-case based on the factors above.

Benefits

Eligible to participate in PG&E’s discretionary incentive compensation programs.

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5d ago

Full Stack AI Engineer

Fidelity TalentSource Covington, KY

Covington, KY

5d ago

Full time Backend Developer Application Security Artificial Intelligence

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Job Description

Build secure, scalable AI capabilities end-to-end to improve the advisor and client experience across Fidelity Wealth.

Responsibilities

Design, build, and deliver AI-powered solutions from concept through production
Partner with business stakeholders, product teams, architects, data scientists, and engineers to identify high-value AI opportunities
Develop enterprise-grade AI capabilities focused on important business outcomes
Translate business needs into practical AI applications through cross-functional collaboration
Contribute to the evolution of modern AI platforms and capabilities

Requirements

Bachelor’s degree or equivalent experience, with 3+ years of software engineering experience
Proven track record designing and delivering scalable, production-grade software and distributed systems
Experience applying LLMs and Generative AI technologies to address real business challenges
Full-stack engineering background with modern languages and frameworks such as Python, TypeScript, Node.js, APIs, React, and Next.js
Hands-on experience deploying and scaling applications in cloud environments including AWS, Azure, or Google Cloud
Experience with platform engineering and DevOps practices, including containers, Kubernetes, Infrastructure-as-Code, and cloud-native architectures
Strong understanding of software architecture, design patterns, and security, along with reliability principles for enterprise-scale applications
Excellent problem-solving skills, sound technical judgment, and a passion for building innovative solutions
Ability to collaborate effectively across engineering, data, product, and business teams while driving initiatives from concept to production

Technologies

Python, TypeScript, Node.js
APIs, React, Next.js
LLMs, Generative AI
AWS, Azure, Google Cloud
Containers, Kubernetes
Infrastructure-as-Code, cloud-native architectures

Example Use Cases

Automated meeting preparation and research
Intelligent call summarization and insight generation
Automated follow-up and workflow orchestration
Knowledge retrieval and recommendation systems
AI-assisted decision support and productivity tools
Workflow automation using enterprise data sources and communication channels

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5d ago

Staff Data Engineer

News Corp Austin, TX

Austin, TX

5d ago

Full time Senior Apache Airflow Application Security

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Job Description

News Corp is seeking a Staff Data Engineer to lead the administration, reliability, and strategic evolution of the enterprise Snowflake platform for Realtor.com Data Operations. This onsite Austin role focuses on keeping production data pipelines dependable while strengthening monitoring, automation, security and compliance controls, and mentoring Snowflake administrators. You will help scale a platform used by 900+ unique users and supports petabyte-scale analytics.

What you’ll own

Delivery, quality, reliability, and strategic evolution of the Snowflake Data Warehouse infrastructure for petabyte-scale analytics
Incident response and root cause analysis for production data pipeline failures, with ongoing improvements to operational runbooks and SLA tracking
Platform request prioritization and triage across a large user base, balancing urgent operational needs with longer-term platform improvements
Comprehensive internal documentation, including onboarding guides, runbooks, and architecture decision records
Snowflake administration best practices, including security frameworks and compliance requirements (RBAC, masking, encryption, and access control)
Advanced monitoring, alerting, and observability for Snowflake, plus building Streamlit apps to track warehouse health, performance, and costs
Automation of routine administration tasks (user provisioning, warehouse scheduling, access reviews) to reduce manual effort and enable self-service
Schema migration and configuration change management across dev, staging, and production with review and rollback procedures
Optimization strategies and tools to reduce Snowflake infrastructure costs while maintaining or improving performance
Partnering with Data Engineering and Analytics teams on warehouse schema and integration patterns that support business requirements
Establishing and enforcing data governance policies, data quality standards, and compliance controls, ensuring CCPA requirements are met
Mentoring engineers on Snowflake DBA activities, best practices, and emerging technologies, serving as a subject matter expert
Collaboration with cross-functional teams including Product Managers, Data Engineers, and Analytics teams
Evaluating new technologies and approaches to evolve and modernize platform capabilities
Technical presentations and architecture reviews with internal stakeholders and leadership
Working within a primarily Agile/Scrum product development process

What you bring

8+ years of experience in data platform engineering or database administration roles
4+ years hands-on experience administering and optimizing Snowflake in production
Deep Snowflake architecture knowledge, including compute/storage separation, query optimization, clustering, materialized views, and time travel
Strong SQL skills, including data structures, data integrity, schema design, and dimensional modeling best practices
Proficiency in Python (or other scripting languages) for automation, tooling, and operational workflows
Proven ability to manage and prioritize competing requests across a diverse user base
Experience driving technical initiatives as a technical lead and subject matter expert in data warehouse administration
Experience with cloud-based architectures (AWS, GCP, or Azure) and familiarity with development, testing, and deployment automation practices
Experience using Infrastructure as Code tools such as Terraform
Experience building and/or designing monitoring, alerting, and observability tools/platforms
Strong understanding of data security, governance, and compliance (RBAC, data masking, encryption, audit logging)
Ability to mentor and guide other engineers, with strong communication and presentation skills
Motivation to build great solutions and codebases in a fast-paced environment
Bachelor’s degree in Computer Science, Engineering, or related field

Tech you’ll work with

Snowflake, SQL, Python, Streamlit, RBAC, AWS, GCP, Azure, Terraform, IaC, Airflow, Dataform, dbt, Agile/Scrum, CCPA

Benefits at News Corp

Inclusive and competitive medical, Rx, dental, and vision coverage
Family forming benefits
13 Paid Holidays
Flexible Time Off
8 hours of paid Volunteer Time Off
Immediate eligibility into the Company 401(k) plan with a 3.5% company match
Tuition Reimbursement program for degreed and non-degreed programs
1:1 personalized Financial Planning Sessions
Student Debt Retirement Savings Match program
Free snacks and refreshments in each office location

Nice to have

Experience with SOX compliance implementation
Experience with data pipeline orchestration tools (Airflow, Dataform, dbt)
Experience building internal self-service portals or tooling for data platform consumers
Familiarity with IT service management practices (change management, capacity planning)
Experience managing or optimizing Snowflake commercial agreements and credit commitments
Knowledge of FinOps or cloud cost optimization best practices
Experience implementing data mesh or lakehouse architectures
Certifications related to Snowflake or cloud platforms
Open source contributions or published research in data engineering/analytics

How you’ll work

News Corp balances creativity and innovation with in-person collaboration. For most roles, employees work four or more days in the office.

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5d ago

Machine Learning Engineer 4

Capital One Richmond, VA

Richmond, VA

5d ago

$179k - $205k/yr Full time Application Security Artificial Intelligence Automation

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Job Description

Capital One’s Risk Tech team is hiring a Machine Learning Engineer 4 to build and deploy proprietary risk management solutions using advanced AI. The role focuses on end-to-end machine learning engineering, including model development, production operations, and the supporting infrastructure and delivery pipelines.

Location

Richmond, VA (onsite)

Compensation

USD 179,400 - 204,700 per year (Richmond, VA)

Responsibilities

Conduct a range of ML engineering activities, including designing, building, and/or delivering ML models and components that address real business problems, in collaboration with Product and Data Science teams
Guide ML infrastructure decisions using understanding of ML modeling concepts, including model choice, data and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance considerations, and validation
Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment
Work on a cross-functional Agile team to create and enhance software enabling big data and ML applications
Retrain, maintain, and monitor models in production
Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale
Construct optimized data pipelines to provide inputs for ML models
Apply continuous integration and continuous deployment best practices, including test automation and monitoring, to support successful deployment of ML models and application code
Maintain well-managed code to reduce vulnerabilities, ensure risk-governed model practices, and follow best practices in Responsible and Explainable AI
Use programming languages such as Python, Scala, or Java

Minimum Qualifications

4+ years of experience programming with Python, Java, Golang, or C++
4+ years of ML experience using industry-standard frameworks PyTorch or Tensorflow and libraries Pandas, NumPy, Scikit-learn
4+ years of experience working with and operating large-scale distributed systems such as Spark and Ray to prepare AI/ML data
2+ years of experience deploying and operating ML solutions in production, operating production services in the cloud (AWS, GCP, Azure), and using Kubernetes to manage large-scale containerized ML systems
Bachelor’s Degree or higher in Computer Science, Machine Learning, or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering)

Technology Stack

Python, Scala, Java, Golang, C++
PyTorch, Tensorflow
Pandas, NumPy, Scikit-learn
Spark, Ray
AWS, GCP, Azure
Kubernetes

Benefits

Capital One offers a comprehensive, competitive, and inclusive set of health, financial, and other benefits to support total well-being.

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5d ago

Senior (DevOps) Machine Learning Engineer

ServiceNow Santa Clara, CA

Santa Clara, CA

5d ago

$161k - $274k/yr Full time Senior Application Security Artificial Intelligence

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Job Description

ServiceNow (ATG) is hiring a Senior (DevOps) Machine Learning Engineer in Santa Clara, CA (onsite). In this role, you’ll help build cloud-based AI/ML solutions that power intelligent enterprise services while improving workflow efficiency. You’ll work in a production-focused environment with strong emphasis on Kubernetes operations, observability, and end-to-end ownership, from design through delivery.

What you’ll do

Build and deliver cloud AI/ML solutions to support intelligent enterprise services
Collaborate daily with developers, product managers, and quality engineers to produce quality software
Partner with product owners to understand requirements and own code end-to-end: design, implementation, testing, and delivery
Deploy, scale, and operate services in production Kubernetes, including Helm-based deployments and CI/CD pipelines that enable repeatable releases and safe rollbacks
Own observability for what you build, including meaningful metrics, useful logs, real tracing, and alerts that trigger on customer impact rather than noise
Debug and resolve production incidents independently, participate in on-call, conduct root-cause analysis, and operate against service level objectives

What you bring

Expertise in Go or Python, including design patterns and time and space-efficient algorithms
Experience building new products that apply challenging algorithms
Expertise in writing efficient, object-oriented, modularized and high-quality software
Knowledge of core AI/ML techniques and algorithms
Knowledge of unit testing, profiling, and code tuning

Technologies you’ll work with

Go, Python, Kubernetes, Helm, CI/CD, GitHub Copilot, Cursor

How AI coding assistants fit in

Confident use of AI coding assistants such as GitHub Copilot or Cursor, with a critical review approach to validate AI-generated code for logic errors, security anti-patterns, and missed edge cases. Experience with AI-assisted debugging and trace analysis, along with awareness of data privacy rules for prompts.

Compensation and benefits

Base pay of $161,300 - $274,200 per year, plus equity (when applicable) and variable/incentive compensation and benefits
Health plans, including flexible spending accounts
401(k) Plan with company match
ESPP
Matching donations
Flexible time away plan
Family leave programs

Work location and personas

ServiceNow uses assigned work personas (flexible, remote, or required in office). Eligibility may include confirming the distance between your primary residence and the closest ServiceNow office using a third-party service.

Equal opportunity and accommodations

Equal Opportunity Employer: ServiceNow is an equal opportunity employer and considers qualified applicants for employment without regard to protected categories. Individuals with arrest or conviction records will be considered in accordance with legal requirements.