Top 49 vector embedding red teaming Jobs

Staff AI/ML Engineer, MyHealthTeam
MyHealthTeam —Remote
- $240,000 - $260,000 a year
- Remote
- System design
- HIPAA
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Research Scientist - Simplex
Astera Institute —California
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- Math
- Doctor of Philosophy
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Sr. Staff AI Security Architect
Penn Mutual —Remote
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- Customer service
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Agentic AI Engineer
Innodata Inc. —Ridgefield Park, NJ
- $100,000 - $120,000 a year
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- Azure
- SQL
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8h
Staff AI Agentic Security Engineer
Bridgewater Associates —New York, NY
- $450,000 - $600,000 a year
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Senior Software Engineer, Agentic AI
Invicti Security —Boston, MA
- Full-time
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- 5 years
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Expert Senior Manager, AI Engineering
Bain & Co. —Atlanta, GA
- $258,000 - $293,500 a year
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AI Technical Lead
American Board of Anesthesiology Inc —Raleigh, NC
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- 5 years
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Senior Agentic AI Technical Lead
Agile Defense —McLean, VA
- Hybrid work
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- AWS
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Security Solutions Principal - AI Security
World Wide Technology Holding, LLC —Remote
- $153,200 - $191,500 a year
- Full-time
- Azure
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AI Platform and Applications Engineer
National Endowment for Dem —Washington, DC
- $103,000 - $185,000 a year
- Full-time
- Hybrid work
- Computer Science
- Senior level
- 2 years
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SENIOR LLM/AI PLATFORM ENGINEER
Peraton —Annapolis Junction, MD
- $112,000 - $179,000 a year
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- 7 years
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Senior Security AI Engineer
Imperial PFS —Kansas City, MO
- Full-time
- 7 years
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VP, Head of Responsible AI
EXL Service —New York, NY
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- Full-time
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- 11+ years
- Bachelor's degree
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Senior Principal AI Architect/Engineer
PepsiCo —Plano, TX
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- Azure
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Expert Senior Manager, AI Engineering
Bain & Company Inc —Atlanta, GA
- $258,000 - $293,500 a year
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Sr. Principal, AI Delivery Lead, Tech Program Manager
Northern Trust Corp. —Chicago, IL
- $137,400 - $240,400 a year
- Full-time
- Microsoft Excel
- Azure
- 5 years
- Health insurance
- Dental insurance
Staff Software Engineer, Agentic AI — Nexus
Arlo Technologies, Inc. —Milpitas, CA
- $175,000 - $225,000 a year
- Full-time
- System design
- Databases
- 8 years
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Lead AI Software Engineer
Streamline Healthcare Solutions —Illinois
- $150,000 - $200,000 a year
- Full-time
- Computer Science
- Software troubleshooting
- HIPAA
Cybersecurity AI/ML Engineer
Booz Allen —McLean, VA
- $77,600 - $176,000 a year
- Full-time
- HIPAA
- 3 years
- Analysis skills
- Health insurance
- Flexible spending account

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Staff AI/ML Engineer, MyHealthTeam

MyHealthTeam
Remote

Apply Now

Job Details

$240,000 - $260,000 a year

Qualifications

AI models
Statistics
Incident management
Tooling
IT system monitoring
System design
Application deployment
AI platforms (beyond public GPTs)
Computational framework
System design for system development
Production systems
Model deployment
Distributed systems
Incident management operations support
Developing large-scale AI models
Natural language processing
Model training
System deployment
DevOps automation
AI-driven automation
Machine learning libraries
Real-time data processing implementation
Query management
Batch data processing
Model evaluation
Machine learning frameworks
Python
MLOps
Data analytics technologies
System performance monitoring

Full Job Description

Join us to redefine the patient experience

MyHealthTeam builds communities for people living with chronic and rare conditions. We reach millions of people each month, and we’re investing deeply in AI to help members find the right support, content, and recommendations — safely, responsibly, and at scale.

We’re looking for a Staff AI/ML Engineer who is product-minded, hands-on, and excited to ship production ML/LLM systems that turn messy, real-world text and behavioral data into reliable experiences for patients.

What you get to do every day

Build end-to-end ML/LLM features from problem definition data modeling evaluation deployment

monitoring.
Develop LLM applications with retrieval and tool use (e.g., RAG, orchestration/workflows, structured extraction) to deliver trustworthy consumer health experiences.
Convert unstructured text (posts, comments, messages, search queries) into structured signals (topics, entities, intent, sentiment, safety flags) using a mix of classical NLP and modern LLMs.
Create and maintain data pipelines for training, inference, evaluation, and analytics (batch and/or streaming as needed).
Design evaluation systems that measure quality and safety: offline metrics, golden datasets, human review workflows, and online A/B testing alignment.
Implement production guardrails to reduce harm and misinformation risk (policy constraints, refusal behavior, citations/attribution when appropriate, red-teaming, monitoring, and incident response).
Set up monitoring for model + system health (latency, cost, drift, regressions, quality metrics).
Partner closely with the Product, Engineering, and Data teams and clinical/subject-matter experts to validate outputs and define what “correct” means for sensitive, health-adjacent use cases.
(Staff scope) Lead architecture and technical direction for applied AI across the organization; mentor engineers; establish best practices and reusable platforms.

Examples of problems you might work on

Personalized recommendations for communities, posts, resources, or next-best actions
Safer content understanding: detection of misleading/high-risk health claims, escalation workflows
Search and discovery improvements using embeddings, hybrid retrieval, and ranking
Summarization and structuring of long threads into navigable insights (with safety constraints)
Member intent understanding from behavioral + text signals

Must-have qualifications

8+ years building and shipping production ML systems (or equivalent experience with demonstrable impact)
Strong Python skills and experience with ML/LLM libraries and tooling (e.g., Hugging Face ecosystem, LangChain/LangGraph, or equivalent)
Proven ability to design production-grade pipelines (training/inference/eval) and operate models in real systems (monitoring, rollbacks, incident handling)
Solid grounding in ML fundamentals (NLP, deep learning, statistical reasoning, evaluation)
Experience with MLOps best practices: versioning, reproducibility, CI/CD, model registry patterns, feature/data management, and infrastructure collaboration
Experience working with large-scale data using Databricks/Spark or equivalent distributed processing
Strong product and stakeholder instincts: you can translate ambiguous business needs into measurable ML outcomes

Nice-to-have qualifications

Experience building RAG and retrieval systems: vector databases, hybrid search, ranking, recommendation, query understanding
Experience in healthcare or regulated environments, including privacy-by-design, auditability, and safety reviews (HIPAA/PHI familiarity a plus)
Experience with streaming/clickstream data, experimentation platforms, and causal/measurement thinking
Ability to prototype end-to-end experiences (e.g., Streamlit, Gradio, lightweight frontends)
Experience designing LLM safety systems: red-teaming, adversarial testing, prompt injection mitigation, output filtering, human-in-the-loop review

Some tools we use

Databricks/Spark for distributed processing
Redshift and BI tools (Looker/Tableau) for analytics
Terraform for infrastructure-as-code; Airflow for orchestration; GitHub Actions for CI/CD
AWS (including Bedrock) and a mix of private and open-weight models (including fine-tunes where appropriate)
Experimentation tooling (A/B testing) and internal UX analytics tools
AI-assisted coding tools (e.g., Cursor, Copilot, Claude/OpenAI tooling)

Working model

The MyHealthTeam Engineering team operates in a remote-first environment. This role is fully remote, with optional in-person collaboration at our San Francisco office.

Why MyHealthTeam @ Swoop

Mission-driven work with massive reach: help millions of people find support and better health outcomes
High-ownership culture: small teams, fast shipping, visible impact
Strong collaboration: product, data, and domain experts working together
A chance to shape applied AI in a real consumer product with real constraints

The Company

Swoop, a market leader in privacy-safe, award-winning omnichannel healthcare marketing, connects patients, healthcare providers (HCPs), and brands at scale across all channels. Our teams leverage the power of AI-driven technology combined with real-world data (RWD), first- and zero-party data, and engagement data, to empower pharmaceutical marketers to make faster, more precise decisions that improve patient outcomes.

At Swoop, our mission is to create a future where technology seamlessly connects patients and HCPs in a privacy-safe way, improving the patient journey and driving better health outcomes. Swoop has experienced significant growth and demonstrated an unwavering commitment to innovation, talent development, and enhancing the patient experience. Our acquisition of MyHealthTeam in January 2025 brought vibrant social communities into our omnichannel suite, further bridging the gap between healthcare brands and patients for more impactful and targeted engagement.

We believe our people are our greatest asset. Swoop fosters a culture of innovation and continuous learning, providing employees with rich opportunities for professional growth. This commitment to our team earned us the "Best Places to Work" recognition from Business Intelligence Group in 2025, based on a survey of over 100 employees. We are driven by a patient-first philosophy and are passionate about leveraging technology to create a healthier future.

If you're a driven professional seeking to make a real difference in healthcare marketing at a fast-growing, innovative company, join Swoop and help us revolutionize how brands connect with patients and HCPs.

Application materials

Submit a resume and answer the following two short questions:

Tell us why MyHealthTeam’s mission matters to you.
Give one example of a production ML/LLM system you shipped and how you evaluated it.

The pay range for this role is:

240,000 - 260,000 USD per year (Remote (United States))

Apply Now

Refine Your Search

vector embedding red teaming jobs

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Sr. Staff AI Security Architect

Agentic AI Engineer

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