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About Wakefern

Wakefern Food Corp. is the largest retailer-owned cooperative in the United States and supports its co-operative members' retail operations, trading under the ShopRite®, Price Rite®, The Fresh Grocer®, Dearborn Markets®, and Gourmet Garage® banners.

Employing an innovative approach to wholesale business services, Wakefern focuses on helping the independent retailer compete in a big business world. Providing the tools entrepreneurs need to stay a step ahead of the competition, Wakefern’s co-operative members benefit from the company’s extensive portfolio of services, including innovative technology, private label development, and best-in-class procurement practices.

The ideal candidate will have a strong background in designing, developing, and implementing complex projects, with focus on automating data processes and driving efficiency within the organization. This role requires a close collaboration with application developers, data engineers, data analysts, data scientists to ensure seamless data integration and automation across various platforms. The Data Integration & AI Engineer is responsible for identifying opportunities to automate repetitive data processes, reduce manual intervention, and improve overall data accessibility.

Essential Functions

• Participate in the development life cycle (requirements definition, project approval, design, development, and implementation) and maintenance of the systems.
• Implement and enforce data quality and governance standards to ensure the accuracy and consistency.
• Provide input for project plans and timelines to align with business objectives.
• Monitor project progress, identify risks, and implement mitigation strategies.
• Work with cross-functional teams and ensure effective communication and collaboration.
• Provide regular updates to the management team.
• Follow the standards and procedures according to Architecture Review Board best practices, revising standards and procedures as requirements change and technological advancements are incorporated into the >tech_ structure.
• Communicates and promotes the code of ethics and business conduct.
• Ensures completion of required company compliance training programs.
• Is trained – either through formal education or through experience – in software / hardware technologies and development methodologies.
• Stays current through personal development and professional and industry organizations.

Responsibilities

• Design, build, and maintain automated data pipelines and ETL processes to ensure scalability, efficiency, and reliability across data operations.
• Develop and implement robust data integration solutions to streamline data flow between diverse systems and databases.
• Continuously optimize data workflows and automation processes to enhance performance, scalability, and maintainability.
• Design and develop end-to-end data solutions utilizing modern technologies, including scripting languages, databases, APIs, and cloud platforms.
• Ensure data solutions and data sources meet quality, security, and compliance standards.
• Monitor and troubleshoot automation workflows, proactively identifying and resolving issues to minimize downtime.
• Provide technical training, documentation, and ongoing support to end users of data automation systems.
• Prepare and maintain comprehensive technical documentation, including solution designs, specifications, and operational procedures.

Qualifications

• A bachelor's degree or higher in computer science, information systems, or a related field.
• Hands-on experience with cloud data platforms (e.g., GCP, Azure, etc.)
• Strong knowledge and skills in data automation technologies, such as Python, SQL, ETL/ELT tools, Kafka, APIs, cloud data pipelines, etc.
• Experience in GCP BigQuery, Dataflow, Pub/Sub, and Cloud storage.
• Experience with workflow orchestration tools such as Cloud Composer or Airflow
• Proficiency in iPaaS (Integration Platform as a Service) platforms, such as Boomi, SAP BTP, etc.
• Develop and manage data integrations for AI agents, connecting them to internal and external APIs, databases, and knowledge sources to expand their capabilities.
• Build and maintain scalable Retrieval-Augmented Generation (RAG) pipelines, including the curation and indexing of knowledge bases in vector databases (e.g., Pinecone, Vertex AI Vector Search).
• Leverage cloud-based AI/ML platforms (e.g., Vertex AI, Azure ML) to build, train, and deploy machine learning models on a scale.
• Establish and enforce data quality and governance standards for AI/ML datasets, ensuring the accuracy, completeness, and integrity of data used for model training and validation.
• Collaborate closely with data scientists and machine learning engineers to understand data requirements and deliver optimized data solutions that support the entire machine learning lifecycle.
• Hands-on experience with IBM DataStage and Alteryx is a plus.
• Strong understanding of database design principles, including normalization, indexing, partitioning, and query optimization.
• Ability to design and maintain efficient, scalable, and well-structured database schemas to support both analytical and transactional workloads,
• Familiarity with BI visualization tools such as MicroStrategy, Power BI, Looker, or similar.
• Familiarity with data modeling tools.
• Familiarity with DevOps practices for data (CI/CD pipelines)
• Proficiency in project management software (e.g., JIRA, Clarizen, etc.)
• Familiarity with DevOps practices for data (CI/CD pipelines)
• Strong knowledge and skills in data management, data quality, and data governance.
• Strong communication, collaboration, and problem-solving skills.
• Ability to work on multiple projects and prioritize tasks effectively.
• Ability to work independently and in a team environment.
• Ability to learn new technologies and tools quickly.
• The ability to handle stressful situations.
• Highly developed business acuity and acumen.
• Strong critical thinking and decision-making skills.

Working Conditions & Physical Demands

This position requires in-person office presence at least 4x a week.

Compensation and Benefits

The salary range for this position is $75,868 - $150,644. Placement in the range depends on several factors, including experience, skills, education, geography, and budget considerations.

Wakefern is proud to offer a comprehensive benefits package designed to support the health, well-being, and professional development of our Associates. Benefits include medical, dental, and vision coverage, life and disability insurance, a 401(k) retirement plan with company match & annual company contribution, paid time off, holidays, and parental leave.

Associates also enjoy access to wellness and family support programs, fitness reimbursement, educational and training opportunities through our corporate university, and a collaborative, team-oriented work environment. Many of these benefits are fully or partially funded by the company, with some subject to eligibility requirements

Position : JAVA Solution Architect

Location : TX/NJ

Duration Long Term

As a Solution Architect, you will be an integral part of shaping the future of technology. This role requires deep technical expertise to translate complex business requirements into scalable, secure, and compliant technical solutions. You will serve as a bridge between business stakeholders and development teams, ensuring the delivery of high-quality, resilient systems that drive significant business impact.

Key Responsibilities

• Solution Design & Architecture: Lead the design and development of end-to-end enterprise solutions, including high-level and low-level design documents and architecture diagrams.
• Technology & Platform Selection: Select the appropriate technology stack, leveraging expertise in Java, Spring Boot, microservices architecture, and cloud platforms (AWS and Azure) to build robust, scalable, and cost-efficient applications.
• Cloud Migration & Integration: Drive cloud transformation initiatives, including migrating on-premises applications to the cloud and integrating complex systems.
• Security & Compliance: Ensure all solutions comply with the regulatory requirements (e.g., data privacy, security standards) and implement robust security measures, including identity and access management, encryption, and network security.
• Technical Leadership & Collaboration: Provide technical guidance and mentorship to development teams, conducting code and architecture reviews to ensure alignment with architectural principles and best practices. Collaborate with cross-functional teams, including business analysts and project managers, to align technical solutions with business goals.
• Innovation & Problem Solving: Evaluate new and emerging technologies, conducting proofs-of-concept (PoCs) to validate assumptions and drive continuous improvement in products, processes, and tools.

Qualifications and Skills

• Experience:
• 5+ years of relevant experience in a solution architecture or a lead engineering role within financial services or a related regulated industry.
• Proven experience in designing and delivering large-scale IT projects with hands-on experience in Java-based systems.
• Demonstrated experience running production applications in public cloud environments (AWS and/or Azure).
• Technical Skills:
• Proficiency in Java and Java frameworks (Spring, Spring Boot).
• Strong DB Design (RDBMS, NoSQL) abilities
• Strong knowledge of microservices, event-driven architecture (e.g., Kafka), and RESTful API design.
• Experience with cloud services (compute, networking, databases, security) and containerization technologies (Docker, Kubernetes).
• Familiarity with DevOps practices and CI/CD pipelines.
• Soft Skills:
• Excellent communication, presentation, and stakeholder management skills, with the ability to translate complex technical concepts for non-technical audiences.
• Strong analytical, problem-solving, and decision-making abilities.
• A proactive, self-motivated mindset with the ability to work through ambiguous requirements in an agile environment.

Preferred Certifications

• AWS Certified Solutions Architect (Associate or Professional)
• Microsoft Certified: Azure Solutions Architect Expert

Best Regards,

Deepak Gulia

Sr. Talent Acquisition-USA

100 Campus Drive, Suite 420, Florham Park, NJ 07932

| | ://

** Infrastructure PM Role **

** Candidate Should have Public Sector Experience **

Mandatory Qualifications:

1. Bachelor’s degree in Information Technology, Computer Science, Engineering, Business Administration, or a related field.
2. Seven (7) years of experience managing IT infrastructure projects, including planning, execution, monitoring, and successful delivery.
3. Three (3) years of experience working with State of California departments, agencies, or public sector organizations.
4. Five (5) years of experience managing infrastructure modernization projects, including one or more of the following:

• Cloud migration initiatives
• Data center modernization
• Server and storage infrastructure upgrades
• Network infrastructure projects
• Disaster recovery and business continuity planning

5. Three (3) years of experience managing AWS cloud infrastructure projects, including:

• Cloud migration strategy
• AWS architecture coordination
• Infrastructure automation
• Cloud security and compliance

6. Five (5) years of experience using formal project management methodologies, such as:

• PMBOK
• Agile / Scrum

Desirable Qualifications

1. PMP (Project Management Professional) Certification.
2. AWS Certifications, such as:

• AWS Certified Solutions Architect
• AWS Certified Cloud Practitioner
• AWS Certified DevOps Engineer

1. Experience working with California Department of Technology (CDT) Project Approval Lifecycle (PAL).
2. Experience preparing and managing State project documentation, including:

• Feasibility Study Report (FSR)
• Special Project Report (SPR)
• Project Approval Lifecycle (PAL) documentation
• Statement of Work (SOW)
• Request for Offer (RFO)

1. Experience with IT Service Management frameworks (ITIL).
2. Experience managing large-scale cloud transformation programs within government environments.

Project description

This technology engineer is responsible for ensuring the reliability, supportability, and continuous improvement of key infrastructure monitoring and management platforms, with primary ownership focus on tools such as SolarWinds, Azure Sentinel. This role requires a developer mindset. This person will also be providing operations systems administration support for hands on Linux and Windows systems. This role partners closely with internal teams across operations, monitoring, and security to strengthen platform health, improve signal quality, and enable effective incident response workflows. The engineer will support a hybrid environment with strong emphasis on Microsoft Azure monitoring and logging, contribute to platform lifecycle activities (patching, upgrades, onboarding, documentation), and continuously learn and apply modern capabilities— including analytics and emerging AI features—across event management, observability, and SIEM tooling to reduce operational friction and increase time to value

Responsibilities

Platform Ownership

Network & Monitoring Tools (must have)

Familiar with tools such as SolarWinds (including NetPath). As a platform owner, ensure platform stability, upgrades, patching, and day to day support.

Has knowledge about network centric monitoring capabilities including SNMP polling, traps, and device visibility etc. Ensure new sites and devices are properly onboarded

Partner with platform and cloud teams to ensure migrated workloads meet monitoring standards. Systems Administration (must have)

Provide sysadmin support for Linux and Windows servers, including:

Agent deployment and upgrades (SolarWinds, Datadog, Dynatrace)

OS level troubleshooting and configuration

Monitoring and logging enablement

Support hybrid environments spanning on prem and Azure infrastructure.

A developer mindset with experience in Dev workflow, GitHub, PowerShell etc.

Observability & Event Management Support (should have)

Has experience with tools such as Datadog and Dynatrace. The person will be responsible for collaborating with platform owners to support integrations, data quality, and alerting hygiene.

Assist with event management workflows, ensuring alerts are actionable and routed correctly.

Participate in efforts to reduce alert noise and repeat incidents. SIEM & Security Visibility (nice to have)

Develop a working understanding of SIEM concepts and platforms such as Azure Sentinel and CRIBL.

Support log ingestion, troubleshooting, and collaboration with security and incident response teams.

Ensure infrastructure and network telemetry supports security detection requirements. Cloud Monitoring & Azure Integration (should have)

Has experience with Azure cloud platform. Have either directly supported or is familiar with Azure based monitoring and logging, including:

Azure Monitor and Log Analytics integrations

Observability for Azure hosted workloads Automation, AI & Continuous Improvement (nice to have)

Explore and apply AI assisted features within monitoring, event management, and SIEM tools to:

Improve signal quality / reduce alert fatigue

Support faster incident triage

Contribute to documentation, runbooks, and operational improvements focused on small, incremental wins.

Knowledge Transfer & Operational Resilience

Participate in knowledge transfer activities related to platform transitions and retirements. Maintain documentation.

Support on call or escalation rotations as needed.

Skills

Must have

Minimum 4-5 years of experience in infrastructure operations, monitoring, observability, or platform operations roles, supporting enterprise environments

Hands on experience with systems administration for Linux and Windows servers, including troubleshooting, configuration, and deployment of monitoring or management agents (e.g., SolarWinds, Datadog, Dynatrace).

Foundational networking knowledge, including concepts such as SNMP, network monitoring, LAN/WAN fundamentals, firewalls, and telemetry collection, sufficient to support network centric monitoring platforms like SolarWinds

Not a must but nice to have experience with platform like StruxureWare.

Experience with observability or monitoring platforms, such as SolarWinds, Datadog, Dynatrace, or similar tools, with an understanding of alerting, dashboards, and signal quality.

Exposure to cloud environments, preferably Microsoft Azure, including familiarity with monitoring and logging concepts (e.g., cloud based telemetry, logs, metrics, and integrations).

Basic understanding of incident and event management practices, including alert triage, escalation, and collaboration with incident response or operations teams.

Demonstrated willingness and ability to learn new technologies quickly, with examples of picking up new platforms, tools, or domains outside of prior core expertise.

Familiarity with Agile or SAFe ways of working, including collaboration in sprint based delivery models, and cross functional team engagement is a plus.

Strong communication and collaboration skills, with the ability to work effectively with platform owners, operations teams, security teams, and external stakeholders.

Experience working in a modern Dev workflow using GitHub (branches, pull requests, code reviews, and CI/CD) to manage and deploy scripts/automation used for platform operations

Working proficiency in scripting languages such as PowerShell, Python, BASH, or similar scripting languages.

Knowledge with Azure, Azure Active Directory (AD), and hybrid cloud environments is a plus.

Exposure to SIEM concepts or platforms such as Azure Sentinel, CRIBL, or similar is a plus.

Experience with change management practices in an enterprise IT environment is beneficial

This technology engineer is responsible for ensuring the reliability, supportability, and continuous improvement of key infrastructure monitoring and management platforms, with primary ownership focus on tools such as SolarWinds, Azure Sentinel. This role requires a developer mindset. This person will also be providing operations systems administration support for hands on Linux and Windows systems. This role partners closely with internal teams across operations, monitoring, and security to strengthen platform health, improve signal quality, and enable effective incident response workflows. The engineer will support a hybrid environment with strong emphasis on Microsoft Azure monitoring and logging, contribute to platform lifecycle activities (patching, upgrades, onboarding, documentation), and continuously learn and apply modern capabilities— including analytics and emerging AI features—across event management, observability, and SIEM tooling to reduce operational friction and increase time to value.

Responsibilities:

Platform Ownership - Network & Monitoring Tools (must have)

• Familiar with tools such as SolarWinds (including NetPath). As a platform owner, ensure platform stability, upgrades, patching, and day to day support.

• Has knowledge about network centric monitoring capabilities including SNMP polling, traps, and device visibility etc. Ensure new sites and devices are properly onboarded

• Partner with platform and cloud teams to ensure migrated workloads meet monitoring standards.

Systems Administration (must have)

• Provide sysadmin support for Linux and Windows servers, including:

• Agent deployment and upgrades (SolarWinds, Datadog, Dynatrace)

• OS level troubleshooting and configuration

• Monitoring and logging enablement

- Support hybrid environments spanning on prem and Azure infrastructure.

- A developer mindset with experience in Dev workflow, GitHub, PowerShell etc.

- Observability & Event Management Support (should have)

- Has experience with tools such as Datadog and Dynatrace. The person will be responsible for collaborating with platform owners to support integrations, data quality, and alerting hygiene.

- Assist with event management workflows, ensuring alerts are actionable and routed correctly.

- Participate in efforts to reduce alert noise and repeat incidents.

SIEM & Security Visibility (nice to have)

- Develop a working understanding of SIEM concepts and platforms such as Azure Sentinel and CRIBL.

- Support log ingestion, troubleshooting, and collaboration with security and incident response teams.

- Ensure infrastructure and network telemetry supports security detection requirements.

Cloud Monitoring & Azure Integration (should have)

- Has experience with Azure cloud platform. Have either directly supported or is familiar with Azure based monitoring and logging, including:

- Azure Monitor and Log Analytics integrations

- Observability for Azure hosted workloads

Automation, AI & Continuous Improvement (nice to have)

• Explore and apply AI assisted features within monitoring, event management, and SIEM tools to:

- Improve signal quality / reduce alert fatigue

- Support faster incident triage

• - Contribute to documentation, runbooks, and operational improvements focused on small, incremental wins.

- Knowledge Transfer & Operational Resilience

- Participate in knowledge transfer activities related to platform transitions and retirements. Maintain documentation.

- - Support on call or escalation rotations as needed.

Mandatory Skills Description:

• Minimum 4-5 years of experience in infrastructure operations, monitoring, observability, or platform operations roles, supporting enterprise environments

• Hands on experience with systems administration for Linux and Windows servers, including troubleshooting, configuration, and deployment of monitoring or management agents (e.g., SolarWinds, Datadog, Dynatrace).

• Foundational networking knowledge, including concepts such as SNMP, network monitoring, LAN/WAN fundamentals, firewalls, and telemetry collection, sufficient to support network centric monitoring platforms like SolarWinds

• Not a must but nice to have experience with platform like StruxureWare.

• Experience with observability or monitoring platforms, such as SolarWinds, Datadog, Dynatrace, or similar tools, with an understanding of alerting, dashboards, and signal quality.

• Exposure to cloud environments, preferably Microsoft Azure, including familiarity with monitoring and logging concepts (e.g., cloud based telemetry, logs, metrics, and integrations).

• Basic understanding of incident and event management practices, including alert triage, escalation, and collaboration with incident response or operations teams.

• Demonstrated willingness and ability to learn new technologies quickly, with examples of picking up new platforms, tools, or domains outside of prior core expertise.

• Familiarity with Agile or SAFe ways of working, including collaboration in sprint based delivery models, and cross functional team engagement is a plus.

• Strong communication and collaboration skills, with the ability to work effectively with platform owners, operations teams, security teams, and external stakeholders.

• Experience working in a modern Dev workflow using GitHub (branches, pull requests, code reviews, and CI/CD) to manage and deploy scripts/automation used for platform operations

• Working proficiency in scripting languages such as PowerShell, Python, BASH, or similar scripting languages.

• Knowledge with Azure, Azure Active Directory (AD), and hybrid cloud environments is a plus.

• Exposure to SIEM concepts or platforms such as Azure Sentinel, CRIBL, or similar is a plus.

• Experience with change management practices in an enterprise IT environment is beneficial.

Nice-to-Have Skills Description:

Agile Methodologies

Job title : Principal Program Manager

Location : Austin, Texas, United States

Type : Full time

Our client is seeking a highly experienced Principal Program Manager to oversee large‑scale, complex infrastructure programs supporting global cloud customers. This senior‑level role is ideal for someone who excels at cross‑functional leadership, technical program execution, and customer‑facing delivery within modular data center and rack integration environments.

What You’ll Do

Customer Program Leadership

• Serve as the primary point of contact for strategic cloud customers, ensuring expectations are met through proactive communication, rapid issue resolution, and high‑quality execution.
• Lead multidisciplinary teams and external partners to deliver customized infrastructure solutions that align with customer needs and business objectives.

Modular & Integrated Infrastructure Execution

• Direct the end‑to‑end lifecycle of Modular Data Center (MDC) programs, including design planning, build oversight, system configuration, full testing cycles, and global deployment.
• Manage complete rack integration projects from concept through global delivery, ensuring performance, quality, and scalability requirements are achieved.

Enterprise Cloud Infrastructure Delivery

• Design and deliver bespoke cloud infrastructure solutions for large enterprises, ensuring technical alignment and seamless implementation across multiple environments.

Global Operations & Coordination

• Partner closely with engineering, supply chain, procurement, logistics, and global integration centers to ensure smooth program execution and on‑time delivery.
• Guide cross‑functional teams—including Operations, Procurement, Logistics, and Customer Care—through program milestones and post‑deployment support activities.

Technical Program Oversight

• Oversee technical design, assembly, and validation of rack solutions and modular infrastructure builds.
• Ensure all systems meet performance, reliability, and quality benchmarks before deployment.

Operational & Delivery Excellence

• Champion continuous improvement in process workflows, risk mitigation, and global program execution.
• Own program timelines, schedules, and resource plans to ensure all commitments and milestone dependencies are managed effectively.

What You’ll Need to Succeed

• Bachelor’s degree in Engineering, Business, or related field; a Master’s degree is preferred.
• 12–15+ years of technical program management experience involving rack integration, modular data centers, or cloud infrastructure.
• Demonstrated success managing large, global programs in customer‑facing environments.
• Strong ability to lead matrixed teams and collaborate across engineering, operations, supply chain, and executive stakeholders.
• Deep expertise in modular data center design, rack‑level system integration, and large‑scale cloud infrastructure.
• Outstanding communication, leadership, and stakeholder‑management skills.
• PMP certification or similar program management credentials are a plus.

Benefits Package

Our client offers a comprehensive benefits program, including:

• Competitive base salary
• Annual bonus
• Medical, dental, vision, and prescription coverage (HRA/HSA options available)
• 401(k) match
• Employee Stock Purchase Plan
• Paid Time Off
• Tuition reimbursement
• Life, AD&D, and disability insurance
• Commuter benefits
• Employee Assistance Program
• Pet insurance
• Adoption assistance
• Annual merit increases
• Opportunities to participate in community volunteer programs

Join the team leading the next evolution of virtual care.

At Teladoc Health, you are empowered to bring your true self to work while helping millions of people live their healthiest lives.

Here you will be part of a high-performance culture where colleagues embrace challenges, drive transformative solutions, and create opportunities for growth. Together, we're transforming how better health happens.

Summary of Position

The Principal AI Security Engineer is a senior technical leader on the AI Security team, responsible for designing, building, and operating security controls for generative AI and Machine Learning (ML) systems across their full lifecycle: data, training, deployment, and runtime.

This role is deeply hands-on: you will work directly with data science, MLOps, platform, devops and application teams to secure LLMs, RAG systems, AI agents, and AI-enabled products. You will also lead the intake and review process for AI use cases, helping the organization adopt AI safely and at scale in a highly regulated environment.

The ideal candidate combines:

* Strong security engineering and cloud architecture experience

* Deep, current familiarity with modern AI/LLM tooling and practices

* Familiar and can cover basic coding within the AI tooling space (python, others)

* The ability to communicate clearly with senior leadership and influence enterprise-wide strategy

Essential Duties and Responsibilities

Secure AI / ML platforms and workloads

* Lead security architecture and threat modeling for AI/ML systems, including LLMs, RAG pipelines, agents, and AI-powered applications.

* Design and implement security controls as code (services, libraries, infrastructure-as-code, policy-as-code) for AI/ML platforms and workloads.

* Lead and help setup the basic infrastructure needed to safely rollout AI - MCPs, LLMs, pipelines, Test harness for AI (ie: harmbench), intake automation.

* Partner with data science and MLOps teams to harden:

• Data ingestion and labeling
• Training and fine-tuning pipelines
• Model registries and deployment workflows
• Inference APIs, agents, and integrations

* Define and champion secure reference architectures and patterns for common AI use cases and focus on composable architecture.

AI use case intake & governance

* Design, implement, and continuously improve the intake, triage, and review process for AI/ML and generative AI use cases across the organization.

* Build and automate self-service workflows (e.g., request forms, risk questionnaires, routing, approvals) that balance speed of delivery with security, privacy, and compliance with a focus on risk scoring and scorecards.

* Define risk-based criteria for AI use case approval, including data sensitivity, model and vendor selection, integration patterns, and control requirements; this will involve in re-mapping the complete end to end lifecycle.

* Review proposed AI solutions from concept through deployment, providing clear, actionable guidance to product and engineering teams.

* Maintain visibility into the AI use case portfolio and risk posture, and provide regular reporting to leadership and governance bodies.

Monitoring, detection & assurance

* Establish and maintain monitoring and detection for AI-specific threats, such as:

• Prompt injection and jailbreak attempts
• Data exfiltration and sensitive data exposure
• Misuse or abuse of AI tools and agents
• Anomalous model or pipeline behavior

* Integrate AI/ML systems with existing logging, SIEM, and incident response processes.

* Lead or participate in AI-focused security assessments, red-teaming, and adversarial testing; drive remediation and verification.

Strategy, leadership & enablement

* Help define and evolve the organization's AI security strategy, standards, and roadmap in partnership with Security, Engineering, Data, Legal, Privacy, and Risk.

* Translate global privacy, data sovereignty, and regulatory requirements into practical technical controls for AI workloads across multiple cloud environments.

* Prepare and deliver executive-ready briefings and narratives on AI security risks, controls, and progress.

* Mentor other engineers and serve as THE internal subject matter expert on AI/ML security, generative AI, and LLM-based systems.

Qualifications Expected for Position

• 7+ years of experience in information security, security engineering, or related fields, including significant time building and securing production systems.
• 3+ years of hands-on experience with AI/ML technologies (such as LLMs, RAG, model training/fine-tuning, MLOps, or AI-powered products), including implementation of security controls or guardrails for these systems.
• Strong programming skills in one or more relevant languages (e.g., Python, TypeScript/JavaScript, Go, or similar), with a track record of contributing to production-grade tools, services, or libraries.
• Deep understanding of cloud security architecture and controls on at least one major cloud platform (AWS, Azure, or GCP), including identity, networking, secrets management, data protection, logging, and monitoring.
• Experience designing and implementing controls in a highly regulated environment; healthcare or financial services preferred.
• Demonstrated ability to lead complex technical initiatives across multiple teams, from problem definition through design, implementation, and adoption.
• Proven ability to communicate complex technical and risk topics clearly to both engineering teams and senior leadership.

Preferred Qualifications:

* Practical experience securing LLM- and genAI-based systems, such as:

• RAG architectures backed by internal data
• AI assistants, copilots, or agents integrated with enterprise tools
• Fine-tuned models and model hosting platforms

* Experience with AI IDE tools

• cursor, windsurfer, others
• Knows the security problems and has practical solutions that balances innovation with innovation.

* Familiarity with AI/ML frameworks and ecosystems (e.g., TensorFlow, PyTorch, Scikit-learn) and/or modern LLM development stacks and IDEs (e.g., API-based LLMs, self-hosted models, AI-enhanced coding tools).

* Experience with:

• Security for data pipelines, feature stores, and model registries
• Detection engineering or SIEM tuning for AI-related events
• Red-teaming or adversarial testing of AI systems

* Evidence of ongoing engagement with AI and security (such as side projects, open-source contributions, lab environments, publications, or conference talks).

* Familiarity with emerging AI security and safety standards and forward-looking industry guidance and horizon reports.

* Relevant certifications (e.g., cloud security, security engineering, or governance) are a plus.

* Strong analytical and problem-solving skills, with the ability to operate effectively in a fast-evolving technical and regulatory landscape.

* High level of integrity and ethical conduct.

This role is a fit if you:

* Regularly build, break, or secure AI/ML or LLM-based systems in your day-to-day work or personal projects.

* Are comfortable reading and writing code, experimenting with new AI tools, and wiring them into real systems.

* Enjoy turning ambiguous AI ideas and risks into concrete architectures, controls, and automation.

* Can move fluidly between deep technical discussions and concise, executive-level explanations.

This role is not a fit if you:

* Prefer to focus solely on policy, governance, or vendor assessments without hands-on technical work.

* Do not actively engage with current AI/LLM tooling, research, and emerging practices.

* "Describe a specific LLM or AI/ML system you have secured. What were the main risks and what controls did you implement?"

* "What AI tools, libraries, or environments do you actively use or experiment with today (work or personal), and for what?"

* "What do you see as the most important AI security or safety developments on the horizon over the next few years, and why?"

The base salary range for this position is$180,000 - $190,000. In addition to a base salary, this position is eligible for a performance bonus and benefits (subject to eligibility requirements) listed here: Teladoc Health Benefits 2026.Total compensation is based on several factors including, but not limited to, type of position, location, education level, work experience, and certifications.This information is applicable for all full-time positions.

We follow a Flexible Vacation Policy, intended for rest, relaxation, and personal time. All time off must be approved by your manager prior to use. You will also receive 80 hours of Paid Sick, Safe, and Caregiver Leave annually. This applies to full-time positions only. If you are applying for a part-time role, your recruiter can provide additional details.

As part of our hiring process, we verify identity and credentials, conduct interviews (live or video), and screen for fraud or misrepresentation. Applicants who falsify information will be disqualified.

Teladoc Health will not sponsor or transfer employment work visas for this position. Applicants must be currently authorized to work in the United States without the need for visa sponsorship now or in the future.

Why join Teladoc Health?

• Teladoc Health is transforming how better health happens. Learn how when you join us in pursuit of our impactful mission.

• Chart your career path with meaningful opportunities that empower you to grow, lead, and make a difference.

• Join a multi-faceted community that celebrates each colleague's unique perspective and is focused on continually improving, each and every day.

• Contribute to an innovative culture where fresh ideas are valued as we increase access to care in new ways.

• Enjoy an inclusive benefits program centered around you and your family, with tailored programs that address your unique needs.

• Explore candidate resources with tips and tricks from Teladoc Health recruiters and learn more about our company culture by exploring #TeamTeladocHealth on LinkedIn.

As an Equal Opportunity Employer, we never have and never will discriminate against any job candidate or employee due to age, race, religion, color, ethnicity, national origin, gender, gender identity/expression, sexual orientation, membership in an employee organization, medical condition, family history, genetic information, veteran status, marital status, parental status, or pregnancy). In our innovative and inclusive workplace, we prohibit discrimination and harassment of any kind.

Teladoc Health respects your privacy and is committed to maintaining the confidentiality and security of your personal information. In furtherance of your employment relationship with Teladoc Health, we collect personal information responsibly and in accordance with applicable data privacy laws, including but not limited to, the California Consumer Privacy Act (CCPA). Personal information is defined as: Any information or set of information relating to you, including (a) all information that identifies you or could reasonably be used to identify you, and (b) all information that any applicable law treats as personal information. Teladoc Health's Notice of Privacy Practices for U.S. Employees' Personal information is available at this link.