We’re Hiring | Full-Stack AI Engineer

Experience: 4–6 Years

Location: Karachi – Onsite | International Project

Employment Type: Full-Time

We are looking for a Full-Stack AI Engineer who can take AI solutions from model and pipeline development all the way to production deployment.

The ideal candidate will have strong hands-on experience across AI/ML, LLMs, RAG, Agentic AI, MCP, multimodal AI, backend, frontend, databases, and production infrastructure.

## Key Responsibilities

- Develop and productionize AI/ML and LLM-based applications using Python, PyTorch, Transformers & Hugging Face
- Build RAG pipelines, embeddings, vector search, and LLM applications
- Develop Agentic AI / multi-agent workflows using LangGraph or similar frameworks
- Build and integrate MCP servers/clients and AI tools
- Develop multimodal AI solutions across computer vision, video, speech & audio
- Build scalable backend services using Python & Node.js
- Develop responsive AI-powered applications using React.js / TypeScript
- Work with SQL/NoSQL and vector databases
- Integrate AI solutions with Odoo, Salesforce, HubSpot and other enterprise platforms
- Optimize inference using ONNX, TensorRT, quantization and GPU optimization
- Deploy and manage applications using Docker, Linux, Nginx, CI/CD and cloud/on-premise infrastructure
- Implement secure authentication, authorization, RBAC and enterprise data protection
- Monitor and optimize application, model, database and infrastructure performance

## Required Skills

AI/LLM: Python, PyTorch, Hugging Face, LLMs, RAG, embeddings, vector databases, Agentic AI, LangGraph, MCP

Computer Vision & Speech: OpenCV, YOLO / RT-DETR, segmentation, Whisper / STT, speaker diarization

Full-Stack: Python, Node.js, React.js, JavaScript/TypeScript, REST APIs, microservices, SQL/NoSQL

Deployment & Optimization: Docker, Kafka, Redis, Linux, Nginx, CI/CD, CUDA/GPU, ONNX, TensorRT, vLLM, TGI, Triton

## Bonus Skills

Kubernetes | TensorRT-LLM | LoRA/QLoRA | PEFT | Prometheus/Grafana | Offline/Air-Gapped AI Deployment | Zero-to-Production AI Product Experience

## Interested candidates can share their CV at

hr@inseyab.com

Manage and direct the activities of the organization's Finance Information Systems (IS) team, establishing Finance IS standards and overseeing short- and long-term Finance IS planning and design. Oversee Finance IS project management, identify user needs, and monitor progress toward objectives. Define Finance systems' maintenance requirements and authorize enhancements to existing systems to improve departmental efficiency. Oversee Finance report designs, interface system integrity, and end-user training development and delivery. Drive operational discipline, technical quality, data governance, and scalable solution delivery in a regulated environment to enhance financial decision-making, reporting, and process efficiency.

This role is responsible for establishing the Finance IS business strategy, prioritization, adoption, process transformation, and value realization related to AI and automation initiatives by establishing the Finance organization vision and roadmap for AI, automation, and digital transformation initiatives. This role directly supports, integrates with, and optimizes the full suite of enterprise Finance applications, including Workday, Enterprise Transaction Management (ETM), Strata, and OnBase, and any future software implementations in conjunction with the centralized IT and AI teams at Seattle Children's.
- AI & Engineering Collaboration: Thorough collaboration experience with Enterprise IT teams who oversee design, development, engineering, architecture, security, operations, implementation delivery, and AI platform management.
- Financial Systems Integration: In-depth knowledge of financial processes, general ledger structures, financial planning and analysis (FP&A), enterprise document management, and transaction routing workflows.
- Finance Platforms: Specialized understanding of systems capability and integration patterns for Workday (ERP/GL), Strata (decision support/costing), ETM, and OnBase (content management/AP workflows).
- Executive Presence & Communication: Exceptional communication and influence skills, with the ability to translate complex technical concepts for executive, finance, and technical audiences.
- Governance & Compliance: Deep understanding of data privacy, healthcare/financial regulatory frameworks, risk mitigation, and internal control environments.

## Strategic Leadership for Finance
- Designs and executes the overall Information Systems, AI, and automation strategy for the Finance organization, ensuring alignment with organizational goals and long-term financial priorities.
- Serves as a thought leader in identifying high-value transformation opportunities across the Finance organization.
- Translates complex organizational challenges into scalable AI, digital transformation, and automation solutions that yield measurable business efficiency and ROI.

## Application Integration & Systems Engineering (Workday, ETM, Strata, OnBase)
- Defines business requirements and priorities for AI-powered capabilities delivered in partnership with Enterprise IT.
- Oversees intelligent document processing and automated indexing workflows within OnBase to streamline accounts payable and vendor management.
- Sponsors and prioritizes predictive analytics and automation capabilities supporting Finance operations.
- Champion adoption, change management, and process redesign.
- Implements automated exception handling and workflow optimization across Enterprise Transaction Management (ETM) systems.
- Serve as lead representative for Finance in the System Development Life Cycle (SDLC), including agile methodologies, sprint planning, and the use of ServiceNow, JIRA, and Smartsheet tools for project tracking and workflow management.

## Software Discipline, Architecture & AI Delivery
- Partners with IT and AI Center of Excellence teams to define Finance priorities for AI solutions and data products.
- Establishes robust monitoring, auditability, and validation frameworks to manage risks associated with Finance systems and processes.

## Team Development & Stakeholder Collaboration
- Inspires, mentors, and empowers a team of Finance Information Systems employees, providing technical leadership, clear accountability, and performance coaching.
- Collaborates with senior Finance, IT, and administrative leaders to prioritize technology backlogs, allocate development resources, and manage risk profiles.
- Drives change management initiatives across the Finance division to build institutional AI literacy and encourage user adoption of automated tools.

## Required Education and Experience
- Bachelor’s Degree in Computer Science, Data Science, Software Engineering, Information Systems, or a quantitative/finance field.
- Minimum eight (8) years of progressive experience in software technology, AI/ML environments, intelligent automation, or technology execution within finance or complex enterprise environments.
- Minimum five (5) years of direct team leadership experience building, mentoring, and managing high-performing Information Systems teams.
- Proven track record of leading and deploying system automations, technology-driven process improvements, AI, and automated workflows into enterprise financial platforms.

## Preferred
- Healthcare and/or non-profit industry experience.
- Master’s Degree (M.S., MBA) in Computer Science, Data Science, or related field.
- 10+ years of experience in AI/ML solution delivery, large-scale ERP software, Finance IT specific leadership, and process automation in healthcare or finance environments.
- Direct experience integrating AI and automation pipelines with Workday, ETM, Strata, and OnBase.
- Proficiency with RPA platform tools (e.g., Automation Anywhere, UiPath, Blue Prism).

## Compensation Range
$185,414.00 - $278,122.00 per year

## Salary Information

This compensation range was calculated based on full-time employment (2080 hours worked per calendar year). Offers are determined by multiple factors including equity, skills, experience, and expertise, and may vary within the range provided.

## Disclaimer for Out of State Applicants

This compensation range is specific to Seattle, positions located outside of Seattle may be compensated differently depending on various factors.

## Benefits Information

Seattle Children’s offers a generous benefit package, including medical, dental, and vision plans, 403(b), life insurance, paid time off, tuition reimbursement, and more. Additional details on our benefits can be found on our website www.seattlechildrens.org/careers/benefits.

## About Us

Hope. Care. Cure. These three simple words capture what we do at Seattle Children’s – to help every child live the healthiest and most fulfilling life possible. Are you ready to engage with a mission-driven organization that is life-changing to many, and touches the hearts of all? #HOPECARECURE

Our founding promise to the community is as valid today as it was over a century ago: we will care for all children in our region, regardless of the families’ ability to pay. Together, we deliver superior patient care, advance new discoveries and treatments through pediatric research, and serve as the pediatric and adolescent, academic medical center for Washington, Alaska, Montana and Idaho – the largest region of any children’s hospital in the country.

U.S. News & World Report consistently ranks Seattle Children’s among the nation’s best children’s hospitals. For more than a decade, Seattle Children’s has been nationally recognized in key specialty areas. We are honored to be one of the nation’s very best places to care for children and the top-ranked pediatric hospital in Washington and the Pacific Northwest.

As a Magnet designated institution, we recognize the importance of hiring and developing great talent to provide best-in-class care to the patients and families we serve. Our organizational DNA takes form in our core values: Compassion, Excellence, Integrity, Collaboration, Equity and Innovation. Whether it’s delivering frontline care to our patients in a kind and caring manner, practicing the highest standards of quality and safety, or being relentlessly curious as we work towards eradicating childhood diseases, these values are the fabric of our culture and community. The future starts here.

## Our Commitment

Seattle Children’s welcomes people of all experiences, backgrounds, and thoughts as this is what drives our spirit of inquiry and allows us to better connect with our patients and families. Our organization recruits, employs, trains, compensates, and promotes based on merit without regard to race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

The people who work at Seattle Children’s are members of a community that seeks to respect and celebrate all the qualities that make each of us unique. Each of us is empowered to be ourselves.

Seattle Children’s is proud to be an Equal Opportunity Workplace and Affirmative Action Employer.

Frontier AI Product Owner & Program Leader

This role has been designed as 'Hybrid' with a requirement that you will work on average 2 days per week from an HPE office.

## Who We Are

Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today’s complex world. Our culture thrives on finding new and better ways to accelerate what’s next. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE.

## Job Description

Are you ready to make an impact at one of the world’s leading technology companies? HPE’s Cybersecurity team is where you can do just that.

Frontier AI models can now find security vulnerabilities at a speed and scale that weren't possible a year ago. HPE's Cybersecurity team is already putting these models to work.

We’re looking for a dynamic and experienced Frontier AI Product Owner & Program Leader to scale this work across the enterprise. You'll work with the most advanced AI models available and help turn proven approaches into scalable capabilities.

If you're passionate about security, curious about the potential of AI, and love bringing structure to complex, fast-changing work, this role brings it all together and we'd love to hear from you.

Frontier AI is changing the cybersecurity landscape. Advanced AI models can discover, reason about, and, in some cases, exploit security weaknesses at machine speed. HPE is building sustainable, AI-enabled capabilities that help identify and address vulnerabilities earlier, strengthen product development, and enable teams to stay ahead of emerging threats.

The Frontier AI Product Owner & Program Leader is a senior individual contributor role, supported by a project manager (PMO), that works very closely with senior executive leaders. You will own the integrated product roadmap and priorities, make trade-offs, define outcomes, and drive iterative delivery across multiple technical teams and workstreams. You will translate the program’s strategic objectives into executable work and adapt priorities as the technology, risk landscape, and business needs evolve.

The role will initially focus on scaling AI-enabled product security testing, supporting integration into the secure development lifecycle, and giving leaders clear visibility of progress, risk, dependencies, investment, and decisions required. In the future, the role will expand to applying Frontier AI to other cybersecurity use cases.

## About You

You are an experienced cybersecurity product owner and program leader who knows how to turn complex problems into prioritized, executable work. You have used Agile ways of working to lead delivery across multiple types of cybersecurity programs and know how to translate outcomes into a roadmap, backlog, incremental delivery, and measurable results.

You thrive in a rapidly evolving technology landscape, bringing structure, focus, and momentum while continuously adjusting priorities as technology, risk, and business needs change.

You lead through influence. You align stakeholders, create clarity across workstreams, make difficult trade-off decisions, and establish accountability without direct authority.

You are data-driven and credible with senior leaders. You use metrics to show progress and impact, translate technical work into decisions senior leaders can act on, and raise risks and trade-offs early.

You bring broad cybersecurity experience and enough technical fluency to engage credibly with experts across different security domains, challenge assumptions, and connect the work to business and risk outcomes.

You have a working understanding of AI and a strong interest in how emerging AI capabilities can change cybersecurity.

You are energized by building something that doesn't yet fully exist. You can turn ambiguity into a structured path forward.

## You Will Be Responsible For
- Own the Frontier AI product roadmap and priorities, translating cybersecurity objectives and emerging AI capabilities into prioritized work based on risk, business value, technical feasibility, dependencies, and learning.
- Establish Agile ways of working across the program, creating a consistent approach to prioritization, planning, delivery, reviews, and measurement across multiple technical workstreams.
- Drive end-to-end delivery across the Frontier AI portfolio, connecting onboarding, testing, validation, remediation, retesting, and longer-term integration into repeatable cybersecurity capabilities.
- Drive business-unit engagement and adoption. Partner with BU leaders to prioritize products and use cases, secure participation, incorporate feedback, and make trade-offs that keep the highest-value work moving.
- Own the integrated program view and executive reporting. Define measures of success, track progress and risk reduction, integrate financial and performance inputs, and give leaders a concise view of outcomes, risks, investment, blockers, and decisions required.
- Anticipate program-level risks and constraints, including sensitive-data handling, model access, infrastructure, specialist talent, third-party dependencies, and organizational readiness.

## Education & Experience
- Bachelor’s degree in Cybersecurity, Information Technology, Computer Science, Engineering, Business, or a related field, or equivalent practical experience.
- 10+ years of experience in cybersecurity domains
- Significant experience as an Agile product owner, program leader, or delivery leader for complex enterprise cybersecurity initiatives, with hands-on responsibility for roadmaps, backlogs, prioritization, incremental delivery, and outcomes.
- Demonstrated experience applying agile product and delivery practices across multiple cybersecurity domains.
- Working knowledge of AI and emerging AI capabilities, with hands-on interest or experience using tools such as LLMs, AI coding assistants, or agentic workflows. Prior experience leading an AI program is preferred but not required.
- Ability to translate emerging or highly technical subject matter into structured roadmaps, executive decisions, accountable ownership, and measurable business outcomes.
- Experience influencing senior leaders, technical experts, product teams, and cross-functional partners without relying on direct authority.
- Strong understanding of dependency management, cyber risk, financial oversight, and executive reporting.
- Clear, confident communicator who does well in fast-changing, high-visibility environments

## Accessibility

HPE is committed to creating an inclusive and accessible workplace and encourages applications from all qualified individuals, including those with disabilities. If you believe you require accommodation during any stage of the application or interview process, please submit your request by completing our secure form linked here.

Note: This option is reserved for applicants needing assistance/reasonable accommodation related to a disability.

## Health & Wellbeing

We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing.

## Personal & Professional Development

We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have — whether you want to become a knowledge expert in your field or apply your skills to another division.

## Unconditional Inclusion

We are unconditionally inclusive in the way we work and celebrate individual uniqueness. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good.

## Let's Stay Connected

Follow @HPECareers on Instagram to see the latest on people, culture and tech at HPE.

Job:
Information Technology

Job Level:
Master

"The expected salary/wage range for this position is provided below. Actual offer may vary from this range based upon geographic location, work experience, education/training, and/or skill level.
– United States of America: Annual Salary USD 140,000 - 321,000 in Texas & Virginia
The listed salary range reflects base salary. Variable incentives may also be offered."

Information about employee benefits offered in the US can be found at https://myhperewards.com/main/new-hire-enrollment.html

HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT employer. We do not discriminate on the basis of race, gender, or any other protected category, and all decisions we make are made on the basis of qualifications, merit, and business need. Our goal is to be one global team that is representative of our customers, in an inclusive environment where we can continue to innovate and grow together. Please click here: Equal Employment Opportunity.

Hewlett Packard Enterprise is EEO Protected Veteran/ Individual with Disabilities.

HPE will comply with all applicable laws related to employer use of arrest and conviction records, including laws requiring employers to consider for employment qualified applicants with criminal histories.

## Recruitment Fraud Alert

We have become aware of an increase in fraudulent recruitment activities in which individuals impersonate our company or authorized recruitment agencies to offer fake employment opportunities. These scams may occur through false websites, emails, social media, or chat-based applications and often aim to obtain personal information or money. Please note that Hewlett Packard Enterprise (HPE), its direct and indirect subsidiaries and affiliated companies, and its authorized recruitment agencies/vendors will never charge a candidate a registration fee, hiring fee, or any other fee in connection with its recruitment and hiring process. We also never request personal information such as back account details, Social Security numbers, or national IDs via social media or chat applications.

All legitimate job opportunities will come through official company channels, and candidates are responsible for verifying the credentials of any third party claiming to represent the company. Any reliance on fraudulent communication is at the individual’s own risk, and HPE disclaims legal liability for any resulting damages. If you suspect recruitment fraud, do not share personal information or make any payments and report the incident to your local authorities immediately.

Location: Austin, TX

Job Type: Full-Time

## About the Role

We are seeking a motivated Business Development Representative to generate qualified sales opportunities across our full portfolio of AI, data, identity, audience, and marketing solutions.

This person will research target accounts, conduct outbound prospecting, respond to inbound interest, qualify potential customers, and schedule meetings for company leadership and senior sales representatives. The ideal candidate can learn technical products quickly, communicate their business value clearly, and use modern AI and sales tools to build pipeline efficiently.

A key part of this role will be using AI tools and agentic prospecting workflows to work more efficiently and effectively. The ideal candidate will use AI to research accounts, identify decision-makers, personalize outreach, recognize buying signals, qualify leads, and continuously improve prospecting strategies.

We've built our own AI-driven prospecting and engagement system that identifies and works target accounts automatically. Your job is not to build a pipeline from scratch. Your job is to run the system, work the leads it produces, and close. This is a phone, email, and video role based in Austin, and it is the front door to a much larger platform relationship.

## Our Solutions

You will introduce prospects to solutions that include:
- AI-powered and agentic business applications
- Identity resolution and customer-data enhancement
- Custom audience creation and segmentation
- Consumer, automotive, property, and credit-driven marketing data
- Programmatic, CTV/OTT, social, email, and direct-mail activation
- Campaign management and data-driven marketing technology

DecisionLinks’ previous inside-sales and lead-generation roles emphasized outbound prospecting, lead qualification, CRM management, appointment setting, and collaboration with leadership. This updated role expands that responsibility across both DecisionLinks and DarkMath.

## Key Responsibilities
- Research target companies, industries, and decision-makers.
- Generate new opportunities through email, phone, LinkedIn, referrals, events, and other outbound channels.
- Respond to inbound leads and conduct initial qualification.
- Communicate the value of DarkMath and DecisionLinks solutions at a business level.
- Identify each prospect’s needs and connect them with the appropriate product or sales specialist.
- Schedule discovery calls, demonstrations, and sales meetings.
- Re-engage previous prospects and identify expansion opportunities within existing accounts.
- Maintain accurate prospect, activity, and pipeline information in the company CRM.
- Collaborate with sales, marketing, product, and leadership on outreach strategies and messaging.
- Meet defined goals for qualified meetings, opportunities, and pipeline generation.

## Qualifications
- One or more years of B2B business development, inside sales, lead generation, or sales experience.
- Strong written, verbal, presentation, and relationship-building skills.
- Comfortable conducting outbound calls and personalized prospect outreach.
- Ability to understand technical products and explain them in clear business terms.
- Experience using a CRM and prospecting tools.
- Familiarity with AI tools for research, outreach, lead qualification, or sales productivity.
- Self-motivated, organized, and comfortable working toward measurable goals.
- Able to work independently in a remote environment and collaboratively with a small team.

## Preferred Experience
- Experience in AI, SaaS, data, ad tech, martech, automotive, lending, or financial services.
- Familiarity with audience data, identity resolution, digital advertising, or marketing automation.
- Experience with Zoho CRM, LinkedIn Sales Navigator, or similar sales platforms.
- Experience working in an entrepreneurial or growth-stage company.

## What We Offer
- Competitive base compensation plus performance-based commission.
- Opportunity to represent a broad portfolio of innovative AI and data solutions.
- Direct access to experienced sales, product, data, and technology leaders.
- Significant opportunity for advancement into an Account Executive or specialized sales role.
- A flexible, entrepreneurial environment where initiative and results are recognized.

You've built RL environments or graders, and hardware engineering doesn't scare you. Be the first ML hire on data nobody else has.

A pre-seed AI startup in San Francisco tests engineers on real engineering tasks for companies in space, defense, advanced manufacturing and robotics, so they can pick the right engineer for every project. It's already live with large deep-tech customers. As the founding ML engineer, you convert rubrics set by experts and recordings of real CAD and ECAD sessions into training environments, scoring models and reward signals, and package them as post-training data for frontier labs.

## What you'll own
- RL environments, graders and reward signals built from real engineering work
- Datasets shaped for post-training at frontier labs
- Evals, LLM-as-a-judge setups and the data pipelines behind them
- A real say in the research and product roadmap, in a role that grows with the company

## Must-haves
- Real experience with RL environments: building, selling or using them for post-training (RAG or prompt-engineering work alone won't fit)
- A grounding in hard tech: ML at a hardware company, close work with electrical or mechanical engineers, or an EE/ME degree
- Knowledge of ML around CAD, ECAD, 3D or other hardware data
- 3+ years of experience
- Working from the San Francisco office, 9-9-6 (moving to SF is expected if you live elsewhere)
- US citizen, green card holder, refugee or asylee, or a straightforward TN case

## Bonus points
- Post-training experience at a scaling AI company or a frontier model team
- An EE or ME background that moved into ML
- A time you looked past your brief and simply did what the project needed

## What's in it for you
- $150k–$250k base + 0.2–0.7% equity
- Founding ML seat in a new field, on proprietary data
- Real ML research, not an applications job

## Good to know
- Full-time, on-site in San Francisco, 9-9-6
- No visa sponsorship beyond the options listed above
- Process: profile check → first call with the hiring lead → home assignment → final interview → offer

## When you apply, please include
- Your CV (PDF), your LinkedIn URL, and GitHub or papers if you have them
- An RL environment, grader or reward signal you worked on: what it measured and how dependable its scores were
- A few lines on why this work interests you
- Your current location, and confirmation that on-site San Francisco (or relocating) works for you
- Your visa or citizenship status
- Your base salary expectation, your notice period, and any other interview processes you're in

Does this sound like you? Apply now. If you're a match, we'll be in touch within 3 working days.

RnB Consultancy | Netherlands | 3604 AB Maarssen | KvK 71489703

## Skills
Artificial Intelligence (AI), CAD/CAM (Computer-Aided Design/Computer-Aided Manufacturing), Data Management, Electrical Engineering, Grader, Manufacturing, Mechanical Engineering, Product Planning, Robotics, Sales, Startup, Testing, Training/Teaching, United States Citizen

RnB Consultancy

## Your New Role and Team

Sanctuary, a world leader in building AI-based control systems for humanoid robots, is seeking a skilled Product Marketing Lead. In this role you will understand our technical products deeply and turn them into polished materials that run across our marketing channels.
Our marketing serves three audiences at once: potential customers, investors and recruits. You will own the website and content engine end to end, and work with agencies and freelancers to scale output.

## Our Success Criteria
- Define our positioning. Explain what our product does and how it differs from alternatives. Build the core messaging that every other channel draws from.
- Own the website. Run development and ongoing maintenance of our site, our first point of contact for customers, investors and candidates. Keep it current, clear and a strong recruiting tool.
- Run social marketing. Build a steady flow of content and distribution across our social channels, using agency support to scale.
- Create assets that capture our technology. Produce professional visuals, explainers, video and written content that make complex technology easy to understand, directly or by directing designers and agencies.
- Own the company deck. Maintain the core company presentation used for conferences, fundraising and partner conversations.

## You will also
- Develop case studies with customers and partners to support sales and fundraising.
- Lead communications and PR to raise our profile, including media and analyst relationships.
- Coordinate product, sales, PR and leadership around launches and major announcements.
- Support conference presence and sales materials (one-pagers, FAQs, slides) as needed.

## Your Experience
- 5+ years in marketing, with real product marketing experience at a technology company with B2B clients.
- A track record of translating complex or technical products into clear, compelling stories.
- Hands-on ownership of a company website, including working in a CMS such as WordPress.
- A portfolio of content you created or directed: web pages, decks, explainers, social campaigns.
- Experience managing agencies, designers or freelancers to deliver on time and on brand.
- Excellent writing and editing skills.
- Comfort as a team of one: you set priorities, ship work yourself and know when to bring in help.

## Additional Experience We Value
- Experience at an early-stage or venture-backed startup
- Background in Robotics and/or AI
- Videography / photography skills you can share with the world!
- Experience supporting a fundraise with decks and investor materials
- Existing relationships with tech press or industry analysts

## Working at Sanctuary

Sanctuary AI is an equal opportunity employer. Employment with Sanctuary AI is governed by skills, competence and qualifications and will not be influenced by any legally protected status.

## About Sanctuary

Founded in 2018, Sanctuary AI builds robots and a novel control system that integrates symbolic logic and reasoning with data-driven robot foundation models. We use our robots to collect vision, audio, touch and proprioception data from the perspective of the robot while they perform real-world work tasks. We use that data to train multimodal robot foundation models. Because our systems are vertically integrated, we can design, deploy and refine at scale. Our mission is to create the world's first human-like intelligence in general-purpose robots.

## Overview

Baker Tilly is a leading advisory, tax and assurance firm, providing clients with a genuine coast-to-coast and global advantage in major regions of the U.S. and in many of the world’s leading financial centers – New York, London, San Francisco, Los Angeles, Chicago and Boston. Baker Tilly Advisory Group, LP and Baker Tilly US, LLP (Baker Tilly) provide professional services through an alternative practice structure in accordance with the AICPA Code of Professional Conduct and applicable laws, regulations and professional standards. Baker Tilly US, LLP is a licensed independent CPA firm that provides attest services to its clients. Baker Tilly Advisory Group, LP and its subsidiary entities provide tax and business advisory services to their clients. Baker Tilly Advisory Group, LP and its subsidiary entities are not licensed CPA firms.

Baker Tilly Advisory Group, LP and Baker Tilly US, LLP, trading as Baker Tilly, are independent members of Baker Tilly International, a worldwide network of independent accounting and business advisory firms in 141 territories, with 43,000 professionals and a combined worldwide revenue of $5.2 billion. Visit bakertilly.com or join the conversation on LinkedIn, Facebook and Instagram.

Please discuss the work location status with your Baker Tilly talent acquisition professional to understand the requirements for an opportunity you are exploring.

Baker Tilly is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability or protected veteran status, gender identity, sexual orientation, or any other legally protected basis, in accordance with applicable federal, state or local law.

Any unsolicited resumes submitted through our website or to Baker Tilly Advisory Group, LP, employee e-mail accounts are considered property of Baker Tilly Advisory Group, LP, and are not subject to payment of agency fees. In order to be an authorized recruitment agency ("search firm") for Baker Tilly Advisory Group, LP, there must be a formal written agreement in place and the agency must be invited, by Baker Tilly's Talent Attraction team, to submit candidates for review via our applicant tracking system.

## Job Description

Baker Tilly is seeking a Head of AI Design to lead the design of AI-powered products that enable professionals to collaborate confidently and effectively with AI agents. This role will shape intuitive, trustworthy experiences that make AI reasoning, confidence, evidence, and human oversight transparent and actionable. As a founding design leader within the AI Product Group organization, this individual will work hands-on alongside product managers, engineers, and subject matter experts to translate complex AI capabilities into practical, high-quality solutions that support professional judgment and accountability.

This is a highly collaborative, hands-on leadership opportunity responsible for establishing the firm's agentic design principles, developing scalable interaction patterns, and building the foundation for a consistent design experience across AI products. The ideal candidate combines exceptional product design expertise, deep understanding of human–AI interaction, strong technical fluency, and the ability to lead through influence while delivering innovative solutions in a fast-paced, evolving environment.

## Responsibilities
- Lead Agentic Product Design: Own the end-to-end design of AI-powered product experiences, from initial concepts and working prototypes through production launch and continuous improvement, beginning with BT Compass.
- Establish Design Strategy and Standards: Define and implement interaction principles and design standards for AI reasoning, confidence indicators, evidence transparency, provenance, escalation, and human-in-the-loop decision-making.
- Drive Cross-Functional Collaboration: Partner closely with product management, engineering, architecture, and subject matter experts to align product requirements, user experiences, technical capabilities, and acceptance criteria.
- Conduct User Research and Validation: Engage directly with firm practitioners to understand workflows, evaluate how professionals review and interact with AI agents, and translate research findings into actionable design improvements.
- Build Scalable Design Foundations: Develop and maintain lightweight design systems, reusable components, and consistent interaction patterns that support a growing portfolio of AI-enabled products.
- Enable Continuous Learning and Improvement: Design intuitive feedback and correction mechanisms that allow practitioners to review, refine, and improve AI-generated outputs while supporting the firm's broader AI learning and evaluation processes.
- Prototype and Innovate: Leverage modern design technologies, including AI-assisted and agentic tools, to rapidly develop, test, and refine high-fidelity prototypes within real-world technical and business constraints.
- Provide Design Leadership: Establish quality standards, influence design direction across product teams, and help build the design function as the organization expands, including providing direction and mentorship to future design team members.
- Support Strategic Initiatives: Participate in special projects and perform other duties as assigned to advance the firm's AI product strategy and business priorities.

## Qualifications
- Bachelor's degree in Design, Human–Computer Interaction, or a related field
- 10+ years of progressive product design experience, including demonstrated success designing and launching AI-powered or agentic products in production environments.
- Strong portfolio demonstrating end-to-end product design capabilities, particularly in AI trust, transparency, evidence presentation, human oversight, and user experience quality.
- Proven expertise in human–AI interaction design, including AI reasoning, confidence indicators, provenance, review-and-approval workflows, escalation, and failure states.
- Experience working collaboratively with engineers, product managers, and subject matter experts to design and deliver products within cross-functional development teams.
- Demonstrated success designing intuitive solutions for expert users operating in complex, highly accountable, or professionally regulated environments.
- Experience establishing scalable design standards, reusable interaction patterns, and lightweight design systems across multiple products.
- Strong proficiency in modern product design and working-fidelity prototyping tools, including AI-assisted and agentic technologies.
- Experience conducting user research, usability testing, and iterative design validation, with the ability to translate findings into product requirements, acceptance criteria, and measurable improvements.
- Strong technical aptitude and ability to translate complex AI capabilities, model behaviors, and platform constraints into practical, intuitive user experiences.
- Exceptional conceptual thinking, problem-solving, and design judgment, with the ability to balance innovation, usability, technical feasibility, and business objectives.
- Excellent written and verbal communication, presentation, and stakeholder management skills, with the ability to articulate design decisions and influence senior leadership and cross-functional teams.
- Demonstrated ability to work independently, manage competing priorities, and deliver high-quality solutions in a dynamic, fast-paced environment.
- Proven ability to provide hands-on design leadership, establish quality standards, and mentor emerging design talent as the organization grows.
- Demonstrated commitment to continuous learning and leveraging emerging AI technologies to enhance design processes, productivity, and product outcomes.
- No professional certifications or licenses required.

The pay rate range for this job position are listed below. Actual compensation is influenced by a variety of relevant factors including but not limited to applicant’s skills, prior experience, qualifications, degrees, professional certifications, work arrangements and geographic location. Baker Tilly offers a comprehensive compensation and benefits package to eligible employees.

The national pay rate range is $200,000–$260,000

In California: pay rate range is $200,000–$260,000

#LI-AC1

AI / Emerging Tech Security Analyst (AI Training)

## About The Role

What if your security expertise could directly shape how the world's most powerful AI systems defend themselves against attack? We're looking for AI Security Analysts to probe, stress-test, and evaluate frontier AI models — identifying real vulnerabilities before bad actors do.

This is a fully remote, flexible contract role built for security professionals who are curious about AI and want to work at the intersection of two of the most critical fields in tech. You'll work directly with cutting-edge AI systems, analyzing how they behave under adversarial conditions and helping ensure they remain safe, reliable, and aligned with security best practices.
- Organization: Alignerr
- Type: Hourly Contract
- Location: Remote
- Commitment: 10–40 hours/week

## What You'll Do
- Analyze AI and LLM security scenarios to understand how models respond to adversarial, unexpected, or edge-case conditions
- Investigate prompt injection attacks, data leakage vectors, model abuse patterns, and system misuse cases
- Classify identified security issues by real-world impact and likelihood, and recommend appropriate mitigations
- Evaluate AI system behavior against security best practices and help improve model safety and reliability
- Document findings clearly and consistently using structured evaluation formats
- Work independently and asynchronously on task-based assignments — fully on your own schedule

## Who You Are
- Background in cybersecurity, information security, or a closely related field
- Strong understanding of security threat modeling, attack surfaces, and risk classification
- Familiar with how modern AI and LLM systems are built, deployed, and potentially exploited
- Analytically sharp and naturally curious — you enjoy pulling systems apart to understand how they fail
- Precise and methodical when documenting complex findings and risk assessments
- Comfortable working independently across ambiguous, emerging problem spaces

## Nice to Have
- Hands-on experience with penetration testing, red teaming, or vulnerability research
- Familiarity with prompt engineering, LLM behavior, or AI safety concepts
- Background in application security, API security, or cloud security
- Experience evaluating AI tools or platforms from a risk or compliance perspective
- Knowledge of adversarial machine learning or AI robustness research

## Why Join Us
- Work directly on frontier AI systems alongside leading AI research labs
- Fully remote and flexible — work when and where it suits you
- Freelance autonomy with the structure of meaningful, high-impact work
- Be at the forefront of AI security — a field that is defining the next decade of tech
- Potential for ongoing work and contract extension as new projects launch

Vancouver, BC

YVR is a place of connection, bringing together people, places and cargo while ensuring a safe and efficient experience for everyone. As part of our Innovation and Technology Group, your work will help deliver industry-leading travel technology to transform the passenger experience. From strategic planning to project execution, the work you do matters and will help improve our processes to make our airport work better for our communities.

## Position overview

We have a permanent, full-time opportunity for an innovative and collaborative Manager, Technology Services (AI & Digital Governance).

Reporting to the Director, Data & AI, the Manager leads the responsible adoption and ongoing use of AI and digital tools across YVR. The role translates governance requirements into practical guardrails and controls, including permitted data use, access controls, approval processes, usage monitoring and cost management. Drawing on a strong understanding of digital tools and their capabilities, the Manager oversees the implementation and ongoing effectiveness of these controls, while leading change management, user enablement and related budgets to support safe, effective and financially sustainable use.

Leading a team of Business Analysts, Technical Analysts, and Senior Technical Analysts, the Manager sets priorities, guides service delivery, and drives continuous improvement while supporting team development and building strong partnerships across the organization. The role also coordinates practical, risk-based governance for AI and emerging digital tools, working with Data & AI, Privacy, Cybersecurity, and other relevant partners to support responsible adoption while maintaining established operational and technical accountabilities.

## Key responsibilities include
- Lead day-to-day IT operations and service delivery, supporting the team in setting priorities, managing workloads, and resolving issues while building more proactive and reliable ways of working. Provide after-hours on-call support as required.
- Manage software, hardware, and telecommunications budgets, ensuring resources are used effectively to meet operational and project needs.
- Oversee IT projects from planning through implementation, ensuring they align with organizational priorities and are delivered on time and within budget. Incorporate appropriate AI and digital governance requirements into project planning and delivery, and escalate significant risks when needed.
- Support the growth and development of team members through coaching, mentoring, training, and performance management, while overseeing the administrative responsibilities of the team.
- Maintain and improve IT service delivery processes and performance measures, tracking service results, governance adoption, approved exceptions, follow-up actions, and the effectiveness of controls for AI and emerging digital tools.
- Coordinate internal and external resources to support IT projects and day-to-day service delivery, ensuring teams have the capacity and support needed to meet priorities.
- Oversee the team's IT project portfolio and work closely with other teams and partners, including Data and AI, Legal, Privacy, Cybersecurity, Data Governance, platform owners, and business stakeholders, to keep initiatives aligned, clarify responsibilities, and support appropriate governance and decision-making throughout the project lifecycle.

## Key qualifications include
- A degree in Computer Science or a related field, with a minimum of five years of experience leading and directing teams.
- Experience in the implementation, adoption and ongoing management of AI and digital tools, with responsibility for implementing governance controls, overseeing service delivery and technology projects, managing budgets, and leading change management.
- Strong knowledge of IT service management principles and practices, including ITIL or equivalent frameworks.
- Working knowledge of responsible AI, digital governance, privacy, cybersecurity, and data governance, including the development and implementation of policies, standards, and controls.
- Demonstrated ability to assess risks, solve complex problems, lead cross-functional initiatives, and drive continuous improvement.
- Strong verbal and written communication skills, with the ability to collaborate with stakeholders and influence senior leaders and executives.
- Relevant technical certifications and familiarity with recognized AI governance frameworks are considered assets.

Although not required, French language skills are an asset as we are committed to providing bilingual services to our visitors and passengers. Candidates who do not speak French are still strongly encouraged to apply.

This position is open to both Vancouver Airport Authority employees and external applicants. Previous job performance will be taken into consideration for all internal candidates that apply for this position.

As part of our recruitment process, short-listed candidates may be required to participate in an assessment process.

Salary Range : $105,680 to $158,520 per annum, based on a 37.5-hour work week. This is individually tailored to reflect your unique experience, qualifications and internal equity.

Performance-Based Incentive: Eligible for an annual bonus target at 15% of your annual salary.

At YVR, your work experience goes beyond the paycheck. We support your personal and professional development, well-being, and a thriving work culture with generous vacation days, extensive health benefits, retirement savings matching, wellness programs, community engagement, commuting support, and continuous learning opportunities. Learn more at https://careers.yvr.ca/benefits.

## Who We Are

YVR is more than just an airport. We connect our beautiful province and all it has to offer to the world. We are all leaders and trailblazers for change and innovation, so no matter the department or team you’re a part of, the work you do matters.

At YVR, we are flexible in everything we do. We will work together to find ways to deliver customer excellence that helps us all thrive.

Whatever your background and wherever you’re from, you belong at YVR. If you have any questions about accessibility or require any assistance applying, please reach out at careers@yvr.ca.

As a global leader in cybersecurity, CrowdStrike protects the people, processes and technologies that drive modern organizations. Since 2011, our mission hasn’t changed — we’re here to stop breaches, and we’ve redefined modern security with the world’s most advanced AI-native platform. We work on large scale distributed systems, processing almost 3 trillion events per day and this traffic is growing daily. Our customers span all industries, and they count on CrowdStrike to keep their businesses running, their communities safe and their lives moving forward. We're proud to work for a mission-driven company leveraging AI to transform the way we work. CrowdStrikers drive their careers through flexibility and autonomy while also being expected to contribute to a culture of responsible AI adoption, experimentation, and innovation. We use an AI-first mindset as a force multiplier to proactively and continuously accelerate execution, build expertise, uncover insights, and solve complex problems. We’re always looking to add talented CrowdStrikers to the team who have limitless passion, a relentless focus on innovation and a fanatical commitment to our customers, our community and each other. Ready to join a mission that matters? The future of cybersecurity starts with you.

## About the Role
The Senior AI Agent Developer is responsible for architecting, building, and scaling AI platforms and products for CrowdStrike’s Legal Team. This is a hands-on AI development role with broad ownership across AI architecture, platform development, model integration, intelligent workflows, and user-facing experiences. You will solve complex Legal business problems using modern AI techniques while ensuring solutions are secure, reliable, scalable, and aligned with enterprise standards. You will collaborate with engineers, analysts, contractors, and cross-functional teams supporting Legal AI initiatives. You will partner closely with Legal, Enterprise AI, Data, Security, Privacy, and Engineering teams to move ideas from early discovery through production deployment and adoption.
## What You'll Do
- Build AI Agents (Core Focus): Design, develop, and deploy production-ready AI agents that support critical workflows across the enterprise. Deliver cost-effective, secure, and scalable solutions that integrate seamlessly into business processes.
- Ship & Iterate: Rapidly prototype, test, and refine agents to ensure high performance and adoption. Build evaluation datasets, measure outcomes, and optimize for both functionality and cost.
- Reimagine Workflows: Work with stakeholders across the legal team to identify where AI can deliver real value. Redesign workflows with agents at the center, balancing innovation with empathy for change management.
- Contribute to the legal team AI Innovators: Share hands-on expertise, frameworks, and tools that help colleagues build better agents. Participate in AI training, knowledge sharing, and governance discussions.
- Stay on the Frontier: Continuously evaluate new AI capabilities, frameworks, and standards, adapting solutions to ensure long-term impact, security, and scalability.
## What You'll Need
- Hands-on development skills: Strong proficiency in Python (or similar languages) with direct experience building and deploying production AI/ML applications and workflows.
- LLM/Agent experience: Deep understanding of large language models and modern AI systems, with a proven ability to design, build, and optimize practical agent solutions.
- Builder mindset: A passion for creating, iterating, and delivering real solutions—not just strategy or advisory work.
- Proven experience utilizing AI technologies to enhance decision-making, streamline workflows and processes, improve efficiency and drive business outcomes.
- AI safety & governance knowledge: Awareness of emerging standards, risks, and guardrails for responsible AI agent development.
- Flexibility & adaptability: Comfort working in a fast-evolving AI landscape, with the ability to adjust and pivot as tools and approaches change.
- Business acumen: Ability to understand enterprise workflows and design AI solutions that align with business needs.
- Collaboration & communication: Proven ability to partner across functions and translate technical solutions into clear business value

## Bonus Points
- Experience building AI solutions for Legal, compliance, investigations, contracts, eDiscovery, knowledge management, or other document-intensive domains.
- Experience with model customization, fine-tuning, synthetic data, advanced retrieval, knowledge graphs, or multimodal document processing
- Familiarity with AI gateways, agent frameworks, Model Context Protocol, multi-agent systems, or secure tool integrations.
- Experience designing AI products that provide source grounding, traceability, human review, and explainable outputs.
- Experience with enterprise AI platforms and services across AWS or Google Cloud.
- Experience facilitating engineers, vendors, or contractors across a portfolio of related initiatives.

#LI-AI1

#LI-Remote

## Benefits of Working at CrowdStrike
- Market leader in compensation and equity awards
- Comprehensive physical and mental wellness programs
- Competitive vacation and holidays for recharge
- Paid parental and adoption leaves
- Professional development opportunities for all employees regardless of level or role
- Employee Networks, geographic neighborhood groups, and volunteer opportunities to build connections
- Vibrant office culture with world class amenities
- Great Place to Work Certified™ across the globe

CrowdStrike is proud to be an equal opportunity employer. We are committed to fostering a culture of belonging where everyone is valued for who they are and empowered to succeed. We support veterans and individuals with disabilities through our affirmative action program.

CrowdStrike is committed to providing equal employment opportunity for all employees and applicants for employment. The Company does not discriminate in employment opportunities or practices on the basis of race, color, creed, ethnicity, religion, sex (including pregnancy or pregnancy-related medical conditions), sexual orientation, gender identity, marital or family status, veteran status, age, national origin, ancestry, physical disability (including HIV and AIDS), mental disability, medical condition, genetic information, membership or activity in a local human rights commission, status with regard to public assistance, or any other characteristic protected by law. We base all employment decisions--including recruitment, selection, training, compensation, benefits, discipline, promotions, transfers, lay-offs, return from lay-off, terminations and social/recreational programs--on valid job requirements.

Find out more about your rights as an applicant.

CrowdStrike participates in the E-Verify program.

Notice of E-Verify Participation

Right to Work
CrowdStrike, Inc. is committed to fair and equitable compensation practices. Placement within the pay range is dependent on a variety of factors including, but not limited to, relevant work experience, skills, certifications, job level, supervisory status, and location. The base salary range for this position for all U.S. candidates is $140,000 - $215,000 per year, with eligibility for bonuses, equity grants and a comprehensive benefits package that includes health insurance, 401k and paid time off.

For detailed information about the U.S. benefits package, please click here.


## About Mercor

Mercor's mission is to organize human intelligence to power the AI economy. We're a leading AI data company, building the layer between human expertise and frontier models. Millions of domain experts on the platform are paid over $4 million per day to train frontier AI models. Mercor's APEX benchmark family measures AI's real-world impact on professional work. Mercor Enterprise brings this same infrastructure to Fortune 500 companies: helping companies capture how their best people actually work, translating that expertise directly back into agents.

Mercor is creating a new category of work where expertise powers AI advancement. Achieving this requires an ambitious, fast-paced and deeply committed team. You’ll work alongside researchers, operators, and AI companies at the forefront of shaping the systems that are redefining society. Mercor is a profitable Series C company valued at $10 billion. We work in-person five days a week in our San Francisco, NYC, or London offices.

## Summary of role

All of Mercor’s AI work, from training and serving models to building agents, runs on GPUs. Your job is to make that compute fast, fault-tolerant and fully utilized.

You’ll own the accelerator platform end to end. That means the clusters and schedulers across AWS, GCP, neoclouds and on-prem, the training and LLM serving on top, and the observability and cost data that show where every GPU-hour goes.

This is a software engineering role, not an ops role. You’ll write production code every day, own systems from design through on-call, and build the platform that sets how fast Mercor can move.

## Representative projects
- Stand up a multi-cloud GPU fleet spanning hyperscalers, neoclouds and on-prem, orchestrated through custom Kubernetes and Slurm operators so researchers never have to think about where their job lands.
- Build a scheduling layer with gang scheduling, bin-packing and fair-share quotas that measurably raises accelerator utilization across teams.
- Ship a high-throughput vLLM serving stack with prefill/decode disaggregation, KV cache offload and FP8/FP4 quantization. Back it with a benchmarking and traffic-replay harness that tracks TTFT, TPOT and latency percentiles against per-config baselines.
- Build a self-healing health-check and remediation system that rides out fault storms across hardware, network and software without paging a human.
- Build an end-to-end cost-attribution pipeline. It ingests utilization, occupancy and billing data into the warehouse, attributes every GPU-hour to a team and workload, and drives capacity planning.
- Build internal tools and dashboards that researchers and non-engineers use every day.

## Responsibilities
- Design, deploy and operate GPU clusters across AWS, GCP, and other hyperscalers/neoclouds/on-premise data centers, including custom Kubernetes and Slurm operators and the metadata services behind them.
- Build scheduling that keeps accelerators busy: gang scheduling for distributed jobs, bin-packing to reduce fragmentation, and quotas and fair share for multi-tenant teams.
- Run distributed training infrastructure on PyTorch Distributed, Ray, or Megatron, with fast checkpointing and model loading.
- Deploy and tune high-throughput LLM serving with vLLM or similar: tensor and model/expert parallelism, prefill/decode disaggregation, KV cache offload, FP8/FP4 quantization.
- Build benchmarking and traffic-replay tools that measure TTFT, TPOT and latency percentiles, and set per-config performance baselines.
- Build health checks across hardware, network and software layers, and automated remediation that handles fault storms without human intervention.
- Instrument fleet utilization with DCGM, Prometheus and Grafana. Write recording rules and alerts that teams rely on.
- Ingest utilization, occupancy and billing data into a warehouse, attribute spend to teams and workloads, and support capacity planning.
- Drive autoscaling, rightsizing and idle-capacity recovery programs with measurable cost results.
- Write clear runbooks and documentation, and explain infrastructure tradeoffs to researchers, finance and leadership.
- Build internal tools or dashboards that researchers and non-engineers use daily.

## You may be a good fit if you
- Have 5+ years building and operating production distributed systems or ML infrastructure
- Write production-quality Python plus Go or C++, and are fluent in shell scripting for system administration.
- Have deep hands-on Kubernetes and container experience, plus working knowledge of Slurm or another HPC resource manager.
- Have run GPU workloads at scale, including scheduling, orchestration and troubleshooting.
- Have hands-on experience with at least one distributed training or serving stack: PyTorch Distributed, Ray, vLLM or Megatron-LM.
- Have deep experience with at least one major cloud provider.
- Know observability tools like DataDog, Prometheus, PromQL and Grafana, and are comfortable on-call for critical systems.
- Own projects end to end and gather your own requirements with little direction.

## Strong candidates may also have experience with (or a strong desire to learn deeply)
- LLM inference optimization: KV cache systems, disaggregated serving, quantization, speculative decoding
- High-performance networking: RDMA, InfiniBand, NCCL, NVLink
- GPU profiling with Nsight or similar, and CUDA or Triton kernel work
- Accelerators beyond NVIDIA: AMD MI-series, TPU, Trainium
- Capacity planning, billing normalization or cost attribution across providers
- Automated fault diagnosis, log mining or AIOps at fleet scale
- Configuration management (Ansible, Puppet) and secure or air-gapped deployments

## Benefits
- Bi-annual performance bonus structure
- Generous equity grant vested over 4 years
- Up to $15k Relocation bonus
- $10K housing bonus (if you live within 0.5 miles of our office)
- $1.5K monthly stipend for meals
- Free Equinox membership
- $200 monthly laundry reimbursement
- $200 monthly personal wellness reimbursement
- Health, Dental, Vision insurance