Job Description Job Description Information Systems Security Manager / Specialist Location: Arlington, VA Must have an active Top Secret Clearance Node provides HIRT remote and onsite advanced technical assistance, proactive hunting, rapid onsite incident response, and immediate investigation and resolution using host-based and network-based cybersecurity analysis capabilities. Node is seeking an Information Systems Security Specialist to support this critical customer mission. Responsibilities: -Work as part of a team of Information Assurance professionals to manage the full Risk Management Framework lifecycle for Information Technology systems -Assisting technical/management leadership on major tasks or technology assignments -Establishing goals and plans that meet project objectives -Assisting in direction and control activities, having overall responsibility for security management, methods, and staffing to ensure that technical requirements are met -Participating in client negotiations and interfacing with senior management -Supporting decision making and domain knowledge that may have a critical impact on overall project implementation -Providing support to plan, coordinate, and implement a cybersecurity lab's information security -Providing support for facilitating and helping the lab identify its current security infrastructure and define future programs, design and implementation of security related to lab systems -Assisting the efforts of security staff to design, develop, engineer and implement solutions to security requirements -Implementing and development of the DHS IT security standards -Gathering and organizing technical information about the lab's mission goals and needs, existing security products, and ongoing programs -Performing risk analyses which also includes risk assessment -Planning and leading major technology assignments -Evaluating performance results and recommends major changes affecting short-term project growth and success -Functioning as a cyber technical expert across multiple project assignments -Working closely with ISSM and CISO to respond to Data Calls and satisfy requirements of ATOs Requirements Required Skills: - U.S. Citizenship - Must have an active TS/SCI clearance - Must be able to obtain DHS Suitability - 5+ years of directly relevant experience in information security management - Hands on experience with Linux operating systems or Amazon Web Services - Experience supporting the NIST Risk Management Framework (RMF) process and contributing to a full ATO effort from initiation through authorization, including development of security documentation, control implementation statements, supporting assessment (audit) activities, and performing full POA&M management - Beginning to end Knowledge of RMF and Assessment and Authorization (A&A) documentation to include SSP, Contingency, Incident & Configuration Mgmt planning and execution - Experience working on multiple complex assignments which are broad in nature, requiring originality and innovation in determining how to accomplish tasks - Ability to apply a comprehensive knowledge across key tasks and high impact assignments - Knowledge of Computer Network Defense (CND) policies, procedures & regulations - Knowledge of defense-in-depth principles and network security architecture - Knowledge of ATO requirements and strong experience with POAMs. - Knowledge and experience with full range of Microsoft Office products (Word, Excel, Powerpoint, and Visio) - Knowledge of boundary protection and network segmentation - Knowledge of authentication and access management techniques - Experience with implementing and assessing security controls for hardware, software, and network deployments - Must be able to work collaboratively with internal and external stakeholders across physical locations Desired Skills: - Experience with Risk Management Framework software (CSAM, Xacta, Archer, RegScale) - Experience with host and network scanning software (Nessus, Security Center, Tenable Vulnerability Management, nmap, Wiz, burp) - Experience with Endpoint Protection tools like CrowdStrike or CarbonBlack - Working knowledge of SIEM tools like Splunk, SOAR, or ELK - Familiarity with role-based account processing operations - Familiarity with zero trust architectures - Familiarity with scripting languages (python, AWS CLI, Lambda, bash, powershell) Required Education: BS Information Management, Cybersecurity, Computer Science or related degree, or High School Diploma and 7+ years of information security management experience. Desired Certifications: - DoD 8140.01 IAT Level III, CISSP, AWS, Cisco, Microsoft Benefits Medical Dental Vision Basic Life Health Saving Account 401K Matching Three weeks of PTO/Sick 11 Paid Holidays Pre-Approved Online Training
09/23/2026
Full time
Job Description Job Description Information Systems Security Manager / Specialist Location: Arlington, VA Must have an active Top Secret Clearance Node provides HIRT remote and onsite advanced technical assistance, proactive hunting, rapid onsite incident response, and immediate investigation and resolution using host-based and network-based cybersecurity analysis capabilities. Node is seeking an Information Systems Security Specialist to support this critical customer mission. Responsibilities: -Work as part of a team of Information Assurance professionals to manage the full Risk Management Framework lifecycle for Information Technology systems -Assisting technical/management leadership on major tasks or technology assignments -Establishing goals and plans that meet project objectives -Assisting in direction and control activities, having overall responsibility for security management, methods, and staffing to ensure that technical requirements are met -Participating in client negotiations and interfacing with senior management -Supporting decision making and domain knowledge that may have a critical impact on overall project implementation -Providing support to plan, coordinate, and implement a cybersecurity lab's information security -Providing support for facilitating and helping the lab identify its current security infrastructure and define future programs, design and implementation of security related to lab systems -Assisting the efforts of security staff to design, develop, engineer and implement solutions to security requirements -Implementing and development of the DHS IT security standards -Gathering and organizing technical information about the lab's mission goals and needs, existing security products, and ongoing programs -Performing risk analyses which also includes risk assessment -Planning and leading major technology assignments -Evaluating performance results and recommends major changes affecting short-term project growth and success -Functioning as a cyber technical expert across multiple project assignments -Working closely with ISSM and CISO to respond to Data Calls and satisfy requirements of ATOs Requirements Required Skills: - U.S. Citizenship - Must have an active TS/SCI clearance - Must be able to obtain DHS Suitability - 5+ years of directly relevant experience in information security management - Hands on experience with Linux operating systems or Amazon Web Services - Experience supporting the NIST Risk Management Framework (RMF) process and contributing to a full ATO effort from initiation through authorization, including development of security documentation, control implementation statements, supporting assessment (audit) activities, and performing full POA&M management - Beginning to end Knowledge of RMF and Assessment and Authorization (A&A) documentation to include SSP, Contingency, Incident & Configuration Mgmt planning and execution - Experience working on multiple complex assignments which are broad in nature, requiring originality and innovation in determining how to accomplish tasks - Ability to apply a comprehensive knowledge across key tasks and high impact assignments - Knowledge of Computer Network Defense (CND) policies, procedures & regulations - Knowledge of defense-in-depth principles and network security architecture - Knowledge of ATO requirements and strong experience with POAMs. - Knowledge and experience with full range of Microsoft Office products (Word, Excel, Powerpoint, and Visio) - Knowledge of boundary protection and network segmentation - Knowledge of authentication and access management techniques - Experience with implementing and assessing security controls for hardware, software, and network deployments - Must be able to work collaboratively with internal and external stakeholders across physical locations Desired Skills: - Experience with Risk Management Framework software (CSAM, Xacta, Archer, RegScale) - Experience with host and network scanning software (Nessus, Security Center, Tenable Vulnerability Management, nmap, Wiz, burp) - Experience with Endpoint Protection tools like CrowdStrike or CarbonBlack - Working knowledge of SIEM tools like Splunk, SOAR, or ELK - Familiarity with role-based account processing operations - Familiarity with zero trust architectures - Familiarity with scripting languages (python, AWS CLI, Lambda, bash, powershell) Required Education: BS Information Management, Cybersecurity, Computer Science or related degree, or High School Diploma and 7+ years of information security management experience. Desired Certifications: - DoD 8140.01 IAT Level III, CISSP, AWS, Cisco, Microsoft Benefits Medical Dental Vision Basic Life Health Saving Account 401K Matching Three weeks of PTO/Sick 11 Paid Holidays Pre-Approved Online Training
Job Description Job Description Pay: $45-$85/hr Role Title: Producer (Film/TV/Digital/Live) Role Type: Contractor Location: Remote We are engaging Producers (Film/TV/Digital/Live) to contribute to a customer project focused on advancing AI evaluation. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required - your domain knowledge is what matters. Scope of Work Design and author evaluation tasks that simulate realistic production-management scenarios, such as budget reconciliation, scheduling adjustments, and vendor or crew coordination. Source, construct, and curate authentic production artifacts, including budgets, contracts, call sheets, delivery schedules, and crew assignments. Define comprehensive solutions and correct decisions based on multiple production constraints, ensuring tasks reflect genuine industry complexity. Develop multi-item rubrics (35+ criteria) to evaluate nuanced decision-making, constraint management, and reasoned judgment on production deliverables. Document processes and workflows in clear, precise written English, suitable for AI benchmarking and technical review. Collaborate with the project team to iterate on task design and ensure alignment with current industry best practices. Provide insight into real-world production challenges, ensuring tasks maintain authenticity and rigor. Preferred Qualifications Demonstrated mastery in film, television, digital, or live event production with 5+ years of credited project experience. Direct responsibility for managing and reconciling production budgets, call sheets, and contracts. Proven ability to coordinate with vendors and crew under tight constraints, balancing time, cost, and resource considerations. Exceptional written and verbal communication skills, particularly in crafting production documentation and technical materials. Experience authoring or evaluating multi-criteria rubrics or technical assessment tools. Comfort operating independently and proactively in a remote, asynchronous engagement. Strong analytical judgment and a passion for advancing realistic, high-standard industry benchmarks. Compensation Structure Compensation is output-based; experts are paid per task that meets the project specifications. The time required to complete work may vary depending on the expert's experience and workflow. Minimum submission requirements apply. Experts must submit a minimum of tasks per week. Start Timeline & Availability We typically fill roles within 48 hours and are looking for experts ready to jump in right away. If selected, we expect you to start your first tasks within 24-48 hours of completing onboarding. Screening Questions by default: How to apply Apply here with your Indeed profile. We will then email you a link to complete your application on the hiring platform - your application is only considered once that final step is done.
09/23/2026
Full time
Job Description Job Description Pay: $45-$85/hr Role Title: Producer (Film/TV/Digital/Live) Role Type: Contractor Location: Remote We are engaging Producers (Film/TV/Digital/Live) to contribute to a customer project focused on advancing AI evaluation. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required - your domain knowledge is what matters. Scope of Work Design and author evaluation tasks that simulate realistic production-management scenarios, such as budget reconciliation, scheduling adjustments, and vendor or crew coordination. Source, construct, and curate authentic production artifacts, including budgets, contracts, call sheets, delivery schedules, and crew assignments. Define comprehensive solutions and correct decisions based on multiple production constraints, ensuring tasks reflect genuine industry complexity. Develop multi-item rubrics (35+ criteria) to evaluate nuanced decision-making, constraint management, and reasoned judgment on production deliverables. Document processes and workflows in clear, precise written English, suitable for AI benchmarking and technical review. Collaborate with the project team to iterate on task design and ensure alignment with current industry best practices. Provide insight into real-world production challenges, ensuring tasks maintain authenticity and rigor. Preferred Qualifications Demonstrated mastery in film, television, digital, or live event production with 5+ years of credited project experience. Direct responsibility for managing and reconciling production budgets, call sheets, and contracts. Proven ability to coordinate with vendors and crew under tight constraints, balancing time, cost, and resource considerations. Exceptional written and verbal communication skills, particularly in crafting production documentation and technical materials. Experience authoring or evaluating multi-criteria rubrics or technical assessment tools. Comfort operating independently and proactively in a remote, asynchronous engagement. Strong analytical judgment and a passion for advancing realistic, high-standard industry benchmarks. Compensation Structure Compensation is output-based; experts are paid per task that meets the project specifications. The time required to complete work may vary depending on the expert's experience and workflow. Minimum submission requirements apply. Experts must submit a minimum of tasks per week. Start Timeline & Availability We typically fill roles within 48 hours and are looking for experts ready to jump in right away. If selected, we expect you to start your first tasks within 24-48 hours of completing onboarding. Screening Questions by default: How to apply Apply here with your Indeed profile. We will then email you a link to complete your application on the hiring platform - your application is only considered once that final step is done.
Job Description Job Description Design Expert Job Type: Contractor Location: Remote Schedule: Flexible / Self-Directed Job Overview We are seeking senior Product Design and AI-Assisted Development Experts to create evaluation tasks for AI systems working across rapid prototyping, product design, and human-AI collaboration. Experts may contribute to either or both tracks: Vibecoding: AI-assisted software development, natural-language-to-code workflows, and rapid prototyping. Design: Product design, UX/UI, design systems, component libraries, research, and usability. No formal credential is required; demonstrated expertise and shipped work are highly valued. Key Responsibilities Create realistic scenarios covering rapid prototyping, iteration, design systems, and product-design-engineering collaboration . Develop tasks involving AI coding tools such as Cursor, Claude Code, v0, and Replit . Create Design-track tasks using Figma, Framer, prototyping tools, and design-system platforms . Apply prompt-driven development, human-centered design, heuristic evaluation, and rapid prototyping methodologies. Produce reference prototypes, code artifacts, design specifications, and usability evaluation reports. Develop detailed rubrics that distinguish senior-level product judgment from generic or template-driven work. Collaborate on task refinement and evaluation standards. Required Skills Product Design UX/UI Design Rapid Prototyping Design Systems Vibecoding / AI-Assisted Development Human-Centered Design User Research & Usability Testing Figma / Prototyping Tools Design Critique Product Judgment AI-Assisted Coding Evaluation & Rubric Development Preferred Qualifications 5+ years of experience as a product designer, design lead, or AI-native engineer/vibecoder. Experience at a product- or design-focused company, startup, or notable independent product. Direct ownership of shipped product designs, design systems, or AI-assisted development workflows . Strong fluency with relevant design or AI development tools. Portfolio of shipped work strongly preferred. Experience creating rubrics, training materials, design critiques, or evaluation frameworks is a plus. Contract & Payment Independent contractor engagement. Fully remote with a flexible schedule. Project duration may vary based on business needs and performance. Weekly payments via Stripe or Wise based on services rendered. Screening Questions How many years of product design, UX/UI, or AI-assisted development experience do you have? Which track do you specialize in: Vibecoding, Design, or both ? What products, design systems, or AI-assisted workflows have you shipped? Which tools do you use regularly (e.g., Figma, Framer, Cursor, Claude Code, v0, Replit)? Do you have a portfolio of shipped work? What experience do you have creating design critiques, rubrics, or evaluation frameworks? How soon can you start?
09/23/2026
Full time
Job Description Job Description Design Expert Job Type: Contractor Location: Remote Schedule: Flexible / Self-Directed Job Overview We are seeking senior Product Design and AI-Assisted Development Experts to create evaluation tasks for AI systems working across rapid prototyping, product design, and human-AI collaboration. Experts may contribute to either or both tracks: Vibecoding: AI-assisted software development, natural-language-to-code workflows, and rapid prototyping. Design: Product design, UX/UI, design systems, component libraries, research, and usability. No formal credential is required; demonstrated expertise and shipped work are highly valued. Key Responsibilities Create realistic scenarios covering rapid prototyping, iteration, design systems, and product-design-engineering collaboration . Develop tasks involving AI coding tools such as Cursor, Claude Code, v0, and Replit . Create Design-track tasks using Figma, Framer, prototyping tools, and design-system platforms . Apply prompt-driven development, human-centered design, heuristic evaluation, and rapid prototyping methodologies. Produce reference prototypes, code artifacts, design specifications, and usability evaluation reports. Develop detailed rubrics that distinguish senior-level product judgment from generic or template-driven work. Collaborate on task refinement and evaluation standards. Required Skills Product Design UX/UI Design Rapid Prototyping Design Systems Vibecoding / AI-Assisted Development Human-Centered Design User Research & Usability Testing Figma / Prototyping Tools Design Critique Product Judgment AI-Assisted Coding Evaluation & Rubric Development Preferred Qualifications 5+ years of experience as a product designer, design lead, or AI-native engineer/vibecoder. Experience at a product- or design-focused company, startup, or notable independent product. Direct ownership of shipped product designs, design systems, or AI-assisted development workflows . Strong fluency with relevant design or AI development tools. Portfolio of shipped work strongly preferred. Experience creating rubrics, training materials, design critiques, or evaluation frameworks is a plus. Contract & Payment Independent contractor engagement. Fully remote with a flexible schedule. Project duration may vary based on business needs and performance. Weekly payments via Stripe or Wise based on services rendered. Screening Questions How many years of product design, UX/UI, or AI-assisted development experience do you have? Which track do you specialize in: Vibecoding, Design, or both ? What products, design systems, or AI-assisted workflows have you shipped? Which tools do you use regularly (e.g., Figma, Framer, Cursor, Claude Code, v0, Replit)? Do you have a portfolio of shipped work? What experience do you have creating design critiques, rubrics, or evaluation frameworks? How soon can you start?
Job Description Job Description Our mission is to create the Experience of a Lifetime for our employees, so they can, in turn, create the Experience of a Lifetime for our guests. We own and operate the most renowned destination resorts in the world as well as regional and local ski areas outside major cities, and connect them all through one unrivaled network. We are looking for ambitious leaders, innovators and creators to join our talented team. If you're ready to pursue your fullest potential, we want to get to know you! Candidates for year-round positions are reviewed on a rolling basis. Applications will be accepted up to 90 days after the posting date, or until the position is filled (whichever is first). Job Summary: We are looking for a curious, driven, innovative machine learning engineer who takes initiative to solve problems and create environments that accelerate the development, deployment, and usage of data science models and AI to drive greater organizational impact. The Data Science & Data Engineering team within the Enterprise Analytics organization builds data assets, predictive models, analytical applications, and platforms across the organization. Our team collaborates with business stakeholders, analysts, and technology teams to tackle high-impact use cases with state-of-the-art models and tools to grow the business, streamline costs, and improve guest experiences. Job Specifications: Starting Wage: $140,000 - $185,000 + Annual Bonus Employment Type: Year Round Shift Type: Full Time hours Minimum Age: At least 18 years of age Housing Availability: No Job Responsibilities: Productionize ML models developed by data science into reliable, monitored, maintainable systems. Build model data foundations that ensure training, inference, monitoring, and analytics data are trustworthy and scalable. Architect ML platform patterns in Databricks that bring reliability, consistency, governance, performance, and cost discipline to ML and data workflows. Identify and scope opportunities for ML engineering across the business for high-impact. Develop reusable tools , libraries, standards, documentation, and production-readiness practices to enable data science and data engineering teams. Develop analytical and model-powered applications that turn data and ML outputs into usable business workflows for end users. Prepare the platform for future AI engineering , including LLM and agent-based systems, as the organization matures. Provide technical leadership and mentoring across engineering, architecture, and development including design and code reviews. Job Requirements: Technical Skills: Quantitative Foundation : B.S. degree in a quantitative field (e.g., Computer Science, Mathematics, Statistics, Economics, Operations Research, Engineering). Software Engineering Fundamentals: write clean, modular, testable, maintainable code and understand how to structure production-grade systems rather than one-off notebooks or scripts. Python and SQL Proficiency: strong in Python and SQL for building data pipelines, automation, model integrations, analytical workflows, and production services. Data Modeling and Pipeline Design: understand how to design reliable, well-structured data assets, including curated tables, feature datasets, batch pipelines, orchestration, data quality checks, and lineage. ML Lifecycle Fluency: understand the full model lifecycle: data collection, exploration, model development, validation, deployment, monitoring, retraining, and retirement. Production ML Patterns: understand core MLOps patterns such as model registries, feature/data versioning, reproducible environments, testing/validation, monitoring, and rollback. Cloud and Platform Engineering: You are comfortable working in cloud-based data and ML environments and understand the foundations of permissions, environments, jobs, services, storage, networking, and cost-aware architecture. Databricks Expertise : You're familiar and experienced with the core parts of Spark, Unity Catalog, Delta Lake, Databricks Workflows, MLflow, model registry patterns, job/cluster optimization, and governance. DevOps Practices: You use modern engineering practices such as Git, CI/CD, automated testing, code review, dependency management, environment management, and observability. Application Development : You can build applications, APIs, dashboards, or workflow tools that sit on top of data and model outputs. System Design: You can reason through tradeoffs across reliability, latency, scale, cost, governance, maintainability, and ease of use. Soft Skills: Curious : bring intellectual curiosity, an inquisitive nature, and a desire to deepen your knowledge and continue learning. Ownership : take responsibility to proactively advance projects, contribute to the organization, and develop the best solutions. Communication: explain technical concepts, risks, tradeoffs, and recommendations clearly to technical and non-technical audiences. Collaboration: work effectively cross-functionally with data scientists, data engineers, analysts, application engineers, product partners, and business stakeholders. Pragmatism : You know how to balance ideal architecture with business urgency, team maturity, operational constraints, and the need to ship. Preferred qualifications: A graduate degree (Masters or PhD) in a quantitative field Experience with dbt (Core) for modular data modeling, including testing, documentation, and dependency management Experience with AI engineer to use, build, and monitor agentic solutions The expected Total Compensation for this role is $140,000 - $185,000 + Annual Bonus. Individual compensation decisions are based on a variety of factors. Job Benefits Ski/Mountain Perks! Free passes for employees, employee discounted lift tickets for friends and family AND free ski lessons MORE employee discounts on lodging, food, gear, and mountain shuttles 401(k) Retirement Plan Employee Assistance Program Excellent training and professional development Full Time roles are eligible for the above, plus: Health Insurance; Medical Insurance, Dental Insurance, and Vision Insurance plans (for eligible seasonal employees after working 500 hours) Free ski passes for dependents Critical Illness and Accident plans Employees can work remotely from British Columbia, Washington D.C., and the 16 U.S. states in which we currently operate. This includes: California, Colorado, Indiana, Michigan, Minnesota, Missouri, New Hampshire, New York, Nevada, Ohio, Pennsylvania, Utah, Vermont, Washington State, Wisconsin, and Wyoming. Please note that the ability to work in person or off-site, and the particulars related to such work, are subject to change at any time; and, accordingly, the Company reserves the right to change its policies and/or require in-person/in-office work or off-site work at any time in its sole discretion. In completing this application, and when submitting related documentation, applicants may redact information that identifies their age, date of birth, and/or dates of attendance at or graduation from an educational institution. We follow all federal, state, and local laws including restrictions on child/minor labor. Minors hired into this position will not be asked or permitted to engage in any activities restricted to adult workers. Vail Resorts is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, protected veteran status or any other status protected by applicable law. Requisition ID 517322 Reference Date: 09/05/2026 Job Code Function: Data Science
09/23/2026
Full time
Job Description Job Description Our mission is to create the Experience of a Lifetime for our employees, so they can, in turn, create the Experience of a Lifetime for our guests. We own and operate the most renowned destination resorts in the world as well as regional and local ski areas outside major cities, and connect them all through one unrivaled network. We are looking for ambitious leaders, innovators and creators to join our talented team. If you're ready to pursue your fullest potential, we want to get to know you! Candidates for year-round positions are reviewed on a rolling basis. Applications will be accepted up to 90 days after the posting date, or until the position is filled (whichever is first). Job Summary: We are looking for a curious, driven, innovative machine learning engineer who takes initiative to solve problems and create environments that accelerate the development, deployment, and usage of data science models and AI to drive greater organizational impact. The Data Science & Data Engineering team within the Enterprise Analytics organization builds data assets, predictive models, analytical applications, and platforms across the organization. Our team collaborates with business stakeholders, analysts, and technology teams to tackle high-impact use cases with state-of-the-art models and tools to grow the business, streamline costs, and improve guest experiences. Job Specifications: Starting Wage: $140,000 - $185,000 + Annual Bonus Employment Type: Year Round Shift Type: Full Time hours Minimum Age: At least 18 years of age Housing Availability: No Job Responsibilities: Productionize ML models developed by data science into reliable, monitored, maintainable systems. Build model data foundations that ensure training, inference, monitoring, and analytics data are trustworthy and scalable. Architect ML platform patterns in Databricks that bring reliability, consistency, governance, performance, and cost discipline to ML and data workflows. Identify and scope opportunities for ML engineering across the business for high-impact. Develop reusable tools , libraries, standards, documentation, and production-readiness practices to enable data science and data engineering teams. Develop analytical and model-powered applications that turn data and ML outputs into usable business workflows for end users. Prepare the platform for future AI engineering , including LLM and agent-based systems, as the organization matures. Provide technical leadership and mentoring across engineering, architecture, and development including design and code reviews. Job Requirements: Technical Skills: Quantitative Foundation : B.S. degree in a quantitative field (e.g., Computer Science, Mathematics, Statistics, Economics, Operations Research, Engineering). Software Engineering Fundamentals: write clean, modular, testable, maintainable code and understand how to structure production-grade systems rather than one-off notebooks or scripts. Python and SQL Proficiency: strong in Python and SQL for building data pipelines, automation, model integrations, analytical workflows, and production services. Data Modeling and Pipeline Design: understand how to design reliable, well-structured data assets, including curated tables, feature datasets, batch pipelines, orchestration, data quality checks, and lineage. ML Lifecycle Fluency: understand the full model lifecycle: data collection, exploration, model development, validation, deployment, monitoring, retraining, and retirement. Production ML Patterns: understand core MLOps patterns such as model registries, feature/data versioning, reproducible environments, testing/validation, monitoring, and rollback. Cloud and Platform Engineering: You are comfortable working in cloud-based data and ML environments and understand the foundations of permissions, environments, jobs, services, storage, networking, and cost-aware architecture. Databricks Expertise : You're familiar and experienced with the core parts of Spark, Unity Catalog, Delta Lake, Databricks Workflows, MLflow, model registry patterns, job/cluster optimization, and governance. DevOps Practices: You use modern engineering practices such as Git, CI/CD, automated testing, code review, dependency management, environment management, and observability. Application Development : You can build applications, APIs, dashboards, or workflow tools that sit on top of data and model outputs. System Design: You can reason through tradeoffs across reliability, latency, scale, cost, governance, maintainability, and ease of use. Soft Skills: Curious : bring intellectual curiosity, an inquisitive nature, and a desire to deepen your knowledge and continue learning. Ownership : take responsibility to proactively advance projects, contribute to the organization, and develop the best solutions. Communication: explain technical concepts, risks, tradeoffs, and recommendations clearly to technical and non-technical audiences. Collaboration: work effectively cross-functionally with data scientists, data engineers, analysts, application engineers, product partners, and business stakeholders. Pragmatism : You know how to balance ideal architecture with business urgency, team maturity, operational constraints, and the need to ship. Preferred qualifications: A graduate degree (Masters or PhD) in a quantitative field Experience with dbt (Core) for modular data modeling, including testing, documentation, and dependency management Experience with AI engineer to use, build, and monitor agentic solutions The expected Total Compensation for this role is $140,000 - $185,000 + Annual Bonus. Individual compensation decisions are based on a variety of factors. Job Benefits Ski/Mountain Perks! Free passes for employees, employee discounted lift tickets for friends and family AND free ski lessons MORE employee discounts on lodging, food, gear, and mountain shuttles 401(k) Retirement Plan Employee Assistance Program Excellent training and professional development Full Time roles are eligible for the above, plus: Health Insurance; Medical Insurance, Dental Insurance, and Vision Insurance plans (for eligible seasonal employees after working 500 hours) Free ski passes for dependents Critical Illness and Accident plans Employees can work remotely from British Columbia, Washington D.C., and the 16 U.S. states in which we currently operate. This includes: California, Colorado, Indiana, Michigan, Minnesota, Missouri, New Hampshire, New York, Nevada, Ohio, Pennsylvania, Utah, Vermont, Washington State, Wisconsin, and Wyoming. Please note that the ability to work in person or off-site, and the particulars related to such work, are subject to change at any time; and, accordingly, the Company reserves the right to change its policies and/or require in-person/in-office work or off-site work at any time in its sole discretion. In completing this application, and when submitting related documentation, applicants may redact information that identifies their age, date of birth, and/or dates of attendance at or graduation from an educational institution. We follow all federal, state, and local laws including restrictions on child/minor labor. Minors hired into this position will not be asked or permitted to engage in any activities restricted to adult workers. Vail Resorts is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, protected veteran status or any other status protected by applicable law. Requisition ID 517322 Reference Date: 09/05/2026 Job Code Function: Data Science
Job Description Job Description The Company is bringing AI into the way the world's most demanding buildings operate from datacenters and hospitals to pharmaceutical facilities and commercial campuses. We are transforming our smart building products into AI-native platforms capable of autonomous operations, intelligent operator assistance, and scalable AI deployment across cloud, edge, and on-premises environments. This is a focused, time-boxed engagement for a Principal-level AI engineer to embed within the Controls Software team and produce the foundational architecture assets and deployment playbooks that will accelerate AI adoption across our smart building platform at scale. While scoped as a 34 month engagement, there is potential for extension based on scope evolution and mutual fit. You will work hands-on alongside our engineers, learn our platform (with full internal expert support), and apply your deep AI systems expertise to create artifacts the team will execute against beyond the engagement. How you will work: Collaborate daily with Controls SW engineers, architects, and product managers Partner with internal domain experts who will onboard you to the platform deep BAS knowledge is not expected on Day 1 Operate with principal-level autonomy: you drive the architecture, validate assumptions with the team, and produce deliverables iteratively Participate in team rituals (standups, design reviews, retrospectives) as a full team member for the duration of the engagement Required Qualifications: AI Systems & Architecture 10+ years of hands-on software or systems engineering experience, with at least 6 years focused on AI/ML in production environments Proven experience designing and deploying AI/ML systems at scale from data ingestion through inference and monitoring Deep knowledge of MLOps: model deployment pipelines, versioning, observability, drift detection, and continuous improvement Experience with edge-to-cloud AI execution strategies: balancing latency, cost, and resiliency across distributed environments, including LLM cost optimization (model selection, caching, routing) Strong command of data pipeline architecture, time-series data, event-driven systems, and API/microservices patterns GenAI & LLM Hands-on experience architecting production GenAI applications across multiple LLM providers (e.g., Anthropic, OpenAI, AWS Bedrock, Azure OpenAI, and open-source models) Deep knowledge of RAG architectures, vector databases, embedding pipelines, and retrieval strategies at production scale Experience with agentic architectures, multi-agent orchestration, and tool-calling patterns including emerging standards like Model Context Protocol (MCP) Experience with LLM observability and tracing instrumenting model calls, tool calls, and retrievals in production (e.g., LangSmith, LangFuse, or OpenTelemetry GenAI conventions) Craft & Communication Ability to produce clear, durable architecture artifacts reference architectures, decision records, playbooks that engineers can execute without you in the room Comfortable working collaboratively in an embedded team model; can give and receive direct technical feedback Capable of running technical workshops or design sessions when needed Preferred Qualifications Experience in industrial, OT, or IoT environments (building automation, manufacturing, energy, or similar) Familiarity with protocols such as BACnet, MQTT, Modbus, or OPC UA Exposure to cybersecurity frameworks in OT environments (e.g., IEC 62443, NIST CSF) Experience with AI use cases in buildings or critical infrastructure: FDD, energy optimization, predictive maintenance, alarm intelligence Experience with containerization, CI/CD tooling, and observability platforms Experience operationalizing AI safety guardrails, content filtering, and governance controls in production GenAI systems What Success Looks Like: A validated AI reference architecture that the Controls SW team can build against confidently Deployment playbooks that are immediately usable not aspirational documents Engineers who have meaningfully leveled up through collaboration with you Clear architectural foundation for our smart building platform to evolve toward autonomous, AI-native building operations Enable Skills-Based Hiring: No Dimensions Punch Clock Entry No Is driving required for the assignment No Is personal vehicle mileage reimbursable (No Value) Is this a government funded project No Will this position be remote Hybrid - mix of worksite/office and remote
09/23/2026
Full time
Job Description Job Description The Company is bringing AI into the way the world's most demanding buildings operate from datacenters and hospitals to pharmaceutical facilities and commercial campuses. We are transforming our smart building products into AI-native platforms capable of autonomous operations, intelligent operator assistance, and scalable AI deployment across cloud, edge, and on-premises environments. This is a focused, time-boxed engagement for a Principal-level AI engineer to embed within the Controls Software team and produce the foundational architecture assets and deployment playbooks that will accelerate AI adoption across our smart building platform at scale. While scoped as a 34 month engagement, there is potential for extension based on scope evolution and mutual fit. You will work hands-on alongside our engineers, learn our platform (with full internal expert support), and apply your deep AI systems expertise to create artifacts the team will execute against beyond the engagement. How you will work: Collaborate daily with Controls SW engineers, architects, and product managers Partner with internal domain experts who will onboard you to the platform deep BAS knowledge is not expected on Day 1 Operate with principal-level autonomy: you drive the architecture, validate assumptions with the team, and produce deliverables iteratively Participate in team rituals (standups, design reviews, retrospectives) as a full team member for the duration of the engagement Required Qualifications: AI Systems & Architecture 10+ years of hands-on software or systems engineering experience, with at least 6 years focused on AI/ML in production environments Proven experience designing and deploying AI/ML systems at scale from data ingestion through inference and monitoring Deep knowledge of MLOps: model deployment pipelines, versioning, observability, drift detection, and continuous improvement Experience with edge-to-cloud AI execution strategies: balancing latency, cost, and resiliency across distributed environments, including LLM cost optimization (model selection, caching, routing) Strong command of data pipeline architecture, time-series data, event-driven systems, and API/microservices patterns GenAI & LLM Hands-on experience architecting production GenAI applications across multiple LLM providers (e.g., Anthropic, OpenAI, AWS Bedrock, Azure OpenAI, and open-source models) Deep knowledge of RAG architectures, vector databases, embedding pipelines, and retrieval strategies at production scale Experience with agentic architectures, multi-agent orchestration, and tool-calling patterns including emerging standards like Model Context Protocol (MCP) Experience with LLM observability and tracing instrumenting model calls, tool calls, and retrievals in production (e.g., LangSmith, LangFuse, or OpenTelemetry GenAI conventions) Craft & Communication Ability to produce clear, durable architecture artifacts reference architectures, decision records, playbooks that engineers can execute without you in the room Comfortable working collaboratively in an embedded team model; can give and receive direct technical feedback Capable of running technical workshops or design sessions when needed Preferred Qualifications Experience in industrial, OT, or IoT environments (building automation, manufacturing, energy, or similar) Familiarity with protocols such as BACnet, MQTT, Modbus, or OPC UA Exposure to cybersecurity frameworks in OT environments (e.g., IEC 62443, NIST CSF) Experience with AI use cases in buildings or critical infrastructure: FDD, energy optimization, predictive maintenance, alarm intelligence Experience with containerization, CI/CD tooling, and observability platforms Experience operationalizing AI safety guardrails, content filtering, and governance controls in production GenAI systems What Success Looks Like: A validated AI reference architecture that the Controls SW team can build against confidently Deployment playbooks that are immediately usable not aspirational documents Engineers who have meaningfully leveled up through collaboration with you Clear architectural foundation for our smart building platform to evolve toward autonomous, AI-native building operations Enable Skills-Based Hiring: No Dimensions Punch Clock Entry No Is driving required for the assignment No Is personal vehicle mileage reimbursable (No Value) Is this a government funded project No Will this position be remote Hybrid - mix of worksite/office and remote
Date Posted: 2026-08-10 Country: United States of America Location: US-AZ-TUCSON- E Hermans Rd BLDG 801 (External Site) Position Role Type: Onsite U.S. Citizen, U.S. Person, or Immigration Status Requirements: Active and transferable U.S. government issued security clearance is required prior to start date. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Security Clearance Type: DoD Clearance: Secret Security Clearance Status: Active and existing security clearance required on day 1 At Raytheon, the foundation of everything we do is rooted in our values and a higher calling - to help our nation and allies defend freedoms and deter aggression. With over 100 years of experience and renowned engineering expertise, we meet today's mission needs and stay ahead of tomorrow's threats. Our dedicated team solves tough, meaningful problems to create a safer, more secure world. Raytheon's Air Launched Effector Guidance Section (ALEGS) department is seeking a highly motivated and experienced Ultra Stack Lead to lead a multi-disciplined Production Stack Responsible Engineering Authority (REA) team. The Ultra Stack Lead will play a critical role in ensuring stack execution and deliveries, overseeing slice and stack build and test activities for multiple Block 1 and Block 2 stack configurations, as well as coordinating deliveries and hardware acceptance reviews with our customers, and driving resolution of production issues with technical and programmatic expertise. What You Will Do: Provide technical and programmatic oversight for a multi-disciplinary engineering team (electrical, mechanical, integration, and systems). Lead assembly, testing, troubleshooting, and yield improvement for slices and stacks across multiple Electronics Unit configurations. Ensure cost, schedule, and technical performance goals are met during hardware builds and production execution. Collaborate with Operations (OPS) and Quality teams across multiple factories to support production, troubleshoot issues, and implement corrective actions. Address and resolve hardware failures, systemic issues, and producibility challenges, leveraging technical expertise and engaging SMEs as needed. Drive yield improvement, defect reduction, and producibility enhancements while maintaining the Technical Data Package (TDP) for Electronics Unit configurations. Process and resolve IRs (Information Requests), CNs (Change Notices), SRs (Supplier Requests), and variances. Conduct hardware acceptance reviews with customers, ensuring high-quality products and adherence to programmatic and technical requirements. Communicate progress, risks, and corrective actions with internal and external stakeholders. Lead root cause investigations and execute systemic and process improvements to enhance production efficiency and product quality. Qualifications You Must Have Typically requires a Bachelor's degree in Engineering, Science, Physics, Mathematics, or a related STEM degree and a minimum of 8 years' prior relevant experience Minimum 5 years of experience leading and managing multi-disciplinary hardware engineering teams. Proven expertise in technical team management and leadership. Proficiency in program management tools, including EVMS, IMP/IMS, and Risk & Opportunity Management. Strong background in managing complex technical programs and driving successful outcomes. Qualifications We Prefer Experience in production execution and oversight in a technical environment. Background in failure investigation, defect containment, root cause analysis, and corrective action implementation. Proven ability to lead and manage large, multi-disciplinary engineering teams. Demonstrated experience in managing production challenges and driving resolution. Collaborative experience working across factories with operations, quality, and supply chain teams. Expertise in managing hardware yields, defect reduction, and producibility improvements. Familiarity with maintaining and managing Technical Data Packages (TDP), and processing IRs, CNs, and variances. What We Offer Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Safety, Trust, Respect, Accountability, Collaboration, and Innovation. Work Schedule: 9/80 Schedule Relocation Eligibility: This position is eligible for relocation Learn More & Apply Now! Please consider the following role type definition as you apply for this role. Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products. Tucson, AZ: ,-az-location As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote. The salary range for this role is 107,500 USD - 204,500 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills. Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement. Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company's performance. This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply. RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window. RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act. Privacy Policy and Terms: Click on this link to read the Policy and Terms
09/23/2026
Full time
Date Posted: 2026-08-10 Country: United States of America Location: US-AZ-TUCSON- E Hermans Rd BLDG 801 (External Site) Position Role Type: Onsite U.S. Citizen, U.S. Person, or Immigration Status Requirements: Active and transferable U.S. government issued security clearance is required prior to start date. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Security Clearance Type: DoD Clearance: Secret Security Clearance Status: Active and existing security clearance required on day 1 At Raytheon, the foundation of everything we do is rooted in our values and a higher calling - to help our nation and allies defend freedoms and deter aggression. With over 100 years of experience and renowned engineering expertise, we meet today's mission needs and stay ahead of tomorrow's threats. Our dedicated team solves tough, meaningful problems to create a safer, more secure world. Raytheon's Air Launched Effector Guidance Section (ALEGS) department is seeking a highly motivated and experienced Ultra Stack Lead to lead a multi-disciplined Production Stack Responsible Engineering Authority (REA) team. The Ultra Stack Lead will play a critical role in ensuring stack execution and deliveries, overseeing slice and stack build and test activities for multiple Block 1 and Block 2 stack configurations, as well as coordinating deliveries and hardware acceptance reviews with our customers, and driving resolution of production issues with technical and programmatic expertise. What You Will Do: Provide technical and programmatic oversight for a multi-disciplinary engineering team (electrical, mechanical, integration, and systems). Lead assembly, testing, troubleshooting, and yield improvement for slices and stacks across multiple Electronics Unit configurations. Ensure cost, schedule, and technical performance goals are met during hardware builds and production execution. Collaborate with Operations (OPS) and Quality teams across multiple factories to support production, troubleshoot issues, and implement corrective actions. Address and resolve hardware failures, systemic issues, and producibility challenges, leveraging technical expertise and engaging SMEs as needed. Drive yield improvement, defect reduction, and producibility enhancements while maintaining the Technical Data Package (TDP) for Electronics Unit configurations. Process and resolve IRs (Information Requests), CNs (Change Notices), SRs (Supplier Requests), and variances. Conduct hardware acceptance reviews with customers, ensuring high-quality products and adherence to programmatic and technical requirements. Communicate progress, risks, and corrective actions with internal and external stakeholders. Lead root cause investigations and execute systemic and process improvements to enhance production efficiency and product quality. Qualifications You Must Have Typically requires a Bachelor's degree in Engineering, Science, Physics, Mathematics, or a related STEM degree and a minimum of 8 years' prior relevant experience Minimum 5 years of experience leading and managing multi-disciplinary hardware engineering teams. Proven expertise in technical team management and leadership. Proficiency in program management tools, including EVMS, IMP/IMS, and Risk & Opportunity Management. Strong background in managing complex technical programs and driving successful outcomes. Qualifications We Prefer Experience in production execution and oversight in a technical environment. Background in failure investigation, defect containment, root cause analysis, and corrective action implementation. Proven ability to lead and manage large, multi-disciplinary engineering teams. Demonstrated experience in managing production challenges and driving resolution. Collaborative experience working across factories with operations, quality, and supply chain teams. Expertise in managing hardware yields, defect reduction, and producibility improvements. Familiarity with maintaining and managing Technical Data Packages (TDP), and processing IRs, CNs, and variances. What We Offer Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Safety, Trust, Respect, Accountability, Collaboration, and Innovation. Work Schedule: 9/80 Schedule Relocation Eligibility: This position is eligible for relocation Learn More & Apply Now! Please consider the following role type definition as you apply for this role. Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products. Tucson, AZ: ,-az-location As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote. The salary range for this role is 107,500 USD - 204,500 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills. Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement. Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company's performance. This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply. RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window. RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act. Privacy Policy and Terms: Click on this link to read the Policy and Terms
Job Description Job Description WHO WE ARE Lindblad Expeditions is a true pioneer in Expedition Travel. From taking the first citizen explorers to Antarctica in 1966, opening the Galapagos and Easter Island to tourism in 1967, leading the first tourist expedition through the Northwest Passage in 1984, and launching our innovative partnership with National Geographic in 2004, we're now taking almost 30,000 guests a year to some of the world's most remote and pristine locations on our fleet of 20 ships, and are committed to ensuring our guests experience the "Exhilaration of Discovery". New York-based travel company is seeking a highly adaptable and versatile analytics engineer who thrives on taking up multiple roles and responsibilities within the realm of analytics engineering. As an Analytics Engineer, you will play a crucial role in our organization, taking charge of various aspects such as data design, data architecture, data governance, reporting, and more. You will partner with our business analyst and data engineer to help develop our solutions to our data needs throughout the organization. Reporting to the Director of Business Applications. PROFESSIONAL RESPONSIBILITIES Data modeling & Transformation • Build and maintain dbt models across staging, intermediate, and mart layers following Kimball dimensional modeling best practices, and a governed semantic / metrics layer so core KPIs are defined once and are AI- and agent-ready • Write and review SQL transformations to convert raw source data into clean, analytics-ready datasets that serve as a trusted source of truth • Implement dbt tests, model documentation, and source freshness checks to ensure data quality and build confidence across the organization • Collaborate with the data engineer on pipeline design, source data contracts, and overall data architecture decisions Reporting & Analytics • Design and publish Power BI reports and dashboards that empower stakeholders across the business to access and interpret data with confidence • Define and govern metric definitions to ensure consistent, reliable reporting across departments • Partner closely with our business analyst to understand reporting needs and translate them into scalable, reusable solutions • Identify opportunities to consolidate legacy reports and improve self-service analytics capabilities • Excited to work alongside AI tools - not just using them, but improving their outputs by rigorously reviewing, refining, and iterating on AI-generated code and analyses Governance & Collaboration • Contribute to data governance practices including access review, data lineage, and documentation standards • Serve as a bridge between the data infrastructure and the business, communicating technical concepts clearly to non-technical stakeholders • Maintain and improve CI/CD workflows for dbt model deployments QUALIFICATIONS • Bachelor's or Master's Degree in Computer Science, Information Systems, or a related field. • Minimum 5+ years in analytics or data related roles. • Proven experience as analytics engineer or in a similar role, demonstrating expertise in data design, data architecture, and reporting • Experience with any modern warehouse; Snowflake preferred • Comfortable working with PowerBI or comparable dashboarding tool • Proficiency in SQL and data querying languages. Experience with programming languages like Python is desirable • Excellent problem-solving skills, attention to detail, and ability to work independently as well as collaboratively in a team environment • Strong communication and interpersonal skills to effectively convey technical concepts to non-technical stakeholders Bonus Target 7.5% OUR BENEFITS • Travel benefits for employees and their family • Voyage of Discovery trips for employees to travel as guests • Health insurance including Medical, Dental, Vision • 401(k) plan with employer match • Long-Term Disability, Life & AD&D Insurance • Flexible Spending Account (FSA) to be used for out-of-pocket medical and dependent care • Pre-Tax Commuter Benefit • 7-8 Paid Holidays • 1 Floating Holiday Options • Up to 15 days of vacation (pro-rated per anniversary year) • Parental Leave • Sick/personal days per city & state ordinance • Pet Insurance discount Hybrid Work Schedule Positions based in our New York and Seattle offices follow a hybrid work schedule, requiring employees to work in the office Tuesday through Thursday , with the option to work remotely Monday and Friday. Candidates must reside within reasonable commuting distance of their designated office. Communication Skills Using the English language, this person must have the ability to read, write, and comprehend policies, legal guidelines, correspondence, and memos. Must also possess the ability to effectively communicate both in writing and orally with a professional demeanor. PHYSICAL DEMANDS While performing the duties of this job, the employee is frequently required to sit, talk and hear. The employee will also be required to write and type. The employee is occasionally required to stand, walk, and reach with hands and arms. COMPENSATION STATEMENT Lindblad Expeditions determines the pay for positions using local, national, and industry-specific survey data. We evaluate external equity and the cost of labor/prevailing wage index in the relative marketplace for jobs directly comparable to jobs within our company. Our posted salary range is based on national data and may be refined for a candidate's region/town/cost of living. For new hires, we strive to make competitive offers allowing the new employee room for future growth. Salaries will be based on the applicant's location, level of experience, education, and specialized knowledge and skills. An employee/candidate with a stronger skill set will receive higher pay. EQUAL OPPORTUNITY EMPLOYER STATEMENT At Lindblad Expeditions, we simply could not do our work without the diverse kaleidoscope of humanity that creates and delivers our remarkable offerings across the planet. As a Company that respects and celebrates the inherent diversity in the places we explore, we recognize the need to mirror that same diversity and all the interconnected perspectives within our organization. We are committed to building a community of different genders, races, ages, sexual orientations, chosen identities, and countries of origin where every person brings their whole self to work and whose skills, talents, and abilities are valued. We believe we can explore further and in a more meaningful way by actively creating a more diverse and inclusive organization where everyone feels they belong. Lindblad Expeditions is an equal opportunity employer. Individuals seeking employment at Lindblad Expeditions are considered without regard to race, sex, color, religion, national origin, age, disability, genetics, marital status, pregnancy, unemployment status, sexual orientation, citizenship status, or veteran status. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
09/22/2026
Full time
Job Description Job Description WHO WE ARE Lindblad Expeditions is a true pioneer in Expedition Travel. From taking the first citizen explorers to Antarctica in 1966, opening the Galapagos and Easter Island to tourism in 1967, leading the first tourist expedition through the Northwest Passage in 1984, and launching our innovative partnership with National Geographic in 2004, we're now taking almost 30,000 guests a year to some of the world's most remote and pristine locations on our fleet of 20 ships, and are committed to ensuring our guests experience the "Exhilaration of Discovery". New York-based travel company is seeking a highly adaptable and versatile analytics engineer who thrives on taking up multiple roles and responsibilities within the realm of analytics engineering. As an Analytics Engineer, you will play a crucial role in our organization, taking charge of various aspects such as data design, data architecture, data governance, reporting, and more. You will partner with our business analyst and data engineer to help develop our solutions to our data needs throughout the organization. Reporting to the Director of Business Applications. PROFESSIONAL RESPONSIBILITIES Data modeling & Transformation • Build and maintain dbt models across staging, intermediate, and mart layers following Kimball dimensional modeling best practices, and a governed semantic / metrics layer so core KPIs are defined once and are AI- and agent-ready • Write and review SQL transformations to convert raw source data into clean, analytics-ready datasets that serve as a trusted source of truth • Implement dbt tests, model documentation, and source freshness checks to ensure data quality and build confidence across the organization • Collaborate with the data engineer on pipeline design, source data contracts, and overall data architecture decisions Reporting & Analytics • Design and publish Power BI reports and dashboards that empower stakeholders across the business to access and interpret data with confidence • Define and govern metric definitions to ensure consistent, reliable reporting across departments • Partner closely with our business analyst to understand reporting needs and translate them into scalable, reusable solutions • Identify opportunities to consolidate legacy reports and improve self-service analytics capabilities • Excited to work alongside AI tools - not just using them, but improving their outputs by rigorously reviewing, refining, and iterating on AI-generated code and analyses Governance & Collaboration • Contribute to data governance practices including access review, data lineage, and documentation standards • Serve as a bridge between the data infrastructure and the business, communicating technical concepts clearly to non-technical stakeholders • Maintain and improve CI/CD workflows for dbt model deployments QUALIFICATIONS • Bachelor's or Master's Degree in Computer Science, Information Systems, or a related field. • Minimum 5+ years in analytics or data related roles. • Proven experience as analytics engineer or in a similar role, demonstrating expertise in data design, data architecture, and reporting • Experience with any modern warehouse; Snowflake preferred • Comfortable working with PowerBI or comparable dashboarding tool • Proficiency in SQL and data querying languages. Experience with programming languages like Python is desirable • Excellent problem-solving skills, attention to detail, and ability to work independently as well as collaboratively in a team environment • Strong communication and interpersonal skills to effectively convey technical concepts to non-technical stakeholders Bonus Target 7.5% OUR BENEFITS • Travel benefits for employees and their family • Voyage of Discovery trips for employees to travel as guests • Health insurance including Medical, Dental, Vision • 401(k) plan with employer match • Long-Term Disability, Life & AD&D Insurance • Flexible Spending Account (FSA) to be used for out-of-pocket medical and dependent care • Pre-Tax Commuter Benefit • 7-8 Paid Holidays • 1 Floating Holiday Options • Up to 15 days of vacation (pro-rated per anniversary year) • Parental Leave • Sick/personal days per city & state ordinance • Pet Insurance discount Hybrid Work Schedule Positions based in our New York and Seattle offices follow a hybrid work schedule, requiring employees to work in the office Tuesday through Thursday , with the option to work remotely Monday and Friday. Candidates must reside within reasonable commuting distance of their designated office. Communication Skills Using the English language, this person must have the ability to read, write, and comprehend policies, legal guidelines, correspondence, and memos. Must also possess the ability to effectively communicate both in writing and orally with a professional demeanor. PHYSICAL DEMANDS While performing the duties of this job, the employee is frequently required to sit, talk and hear. The employee will also be required to write and type. The employee is occasionally required to stand, walk, and reach with hands and arms. COMPENSATION STATEMENT Lindblad Expeditions determines the pay for positions using local, national, and industry-specific survey data. We evaluate external equity and the cost of labor/prevailing wage index in the relative marketplace for jobs directly comparable to jobs within our company. Our posted salary range is based on national data and may be refined for a candidate's region/town/cost of living. For new hires, we strive to make competitive offers allowing the new employee room for future growth. Salaries will be based on the applicant's location, level of experience, education, and specialized knowledge and skills. An employee/candidate with a stronger skill set will receive higher pay. EQUAL OPPORTUNITY EMPLOYER STATEMENT At Lindblad Expeditions, we simply could not do our work without the diverse kaleidoscope of humanity that creates and delivers our remarkable offerings across the planet. As a Company that respects and celebrates the inherent diversity in the places we explore, we recognize the need to mirror that same diversity and all the interconnected perspectives within our organization. We are committed to building a community of different genders, races, ages, sexual orientations, chosen identities, and countries of origin where every person brings their whole self to work and whose skills, talents, and abilities are valued. We believe we can explore further and in a more meaningful way by actively creating a more diverse and inclusive organization where everyone feels they belong. Lindblad Expeditions is an equal opportunity employer. Individuals seeking employment at Lindblad Expeditions are considered without regard to race, sex, color, religion, national origin, age, disability, genetics, marital status, pregnancy, unemployment status, sexual orientation, citizenship status, or veteran status. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Job Description Job Description What you'll be part of Garner is on a mission to transform the U.S. healthcare system - and we're the only proven player doing exactly that. We partner with employers to redesign how healthcare works: applying 550+ proprietary clinical metrics across 80+ specialties to a dataset of 320M+ patients to identify the best-performing doctors, then using compelling incentives to steer members to the care that helps them get healthier, faster. The result is a rare "win win" - better care and lower costs for both members and employers. In just five years, our work has helped over 2.5 million people access higher-quality care and saved $1B in healthcare costs. We recently raised our Series E and have doubled five years running. If you've ever wanted your work to solve a problem that touches every person in this country, this is the opportunity to do exactly that. You'd be joining a team fundamentally reimagining healthcare in the U.S. - and using AI to scale that impact further and faster than anyone else can. About the role: We are seeking a Senior Site Reliability Engineer to own the reliability, performance, and resilience of the cloud infrastructure powering Garner's products and AI/ML workloads. This role sits on our Platform Engineering team. You will run the machine: defining and upholding SLOs, leading incident response, and driving the automation and standards that let every Garner engineer ship faster and more reliably. Because our systems directly influence health outcomes for millions of patients, maintaining the highest standards of production quality is imperative. This is an automation-first role: you will use AI tools to continuously convert manual operational work into monitored, hands-free processes, so the role gets more leveraged as you build. Where you will work: Garner is headquartered in NYC, but this position is available for individuals who are comfortable with remote work and occasional travel to HQ. What you will do: Run the Machine: Own the end-to-end reliability, performance, and resilience of Garner's cloud environments (AWS, Kubernetes), including those powering AI/ML workloads; define, measure, and uphold SLOs across our critical services. Lead Incident Response: Serve in the on-call rotation, lead incident response, and drive deep-dive root cause analysis, seeing corrective actions through to resolution and rigorously reviewing infrastructure changes. Own Observability: Build and maintain the monitoring, alerting, and observability systems that let us detect and resolve issues before users feel them. Scale & Optimize: Translate ambiguous, high-performance scaling requirements into well-defined, automated, and composable infrastructure-as-code deliverables (Terraform); proactively identify and implement cost-efficiency and performance gains across the stack to maximize cloud ROI. Automate Away Toil: Pay down impactful tech debt and reduce operational toil, using AI tools and automation to convert repetitive operational work into hands-free, monitored processes, and holding our internal platform to the same rigorous standards as our customer-facing products. Enable Engineering: Build and maintain the deployment and observability standards that empower the broader engineering team to ship AI features faster and more reliably; communicate complex cloud and reliability concepts clearly to technical and non-technical stakeholders. Uphold Security & Compliance: Ensure our infrastructure and operations meet Garner's security and HIPAA compliance obligations. The ideal candidate has: 4+ years of hands-on experience operating production cloud infrastructure at scale in an SRE, DevOps, or platform engineering role. Deep expertise with Kubernetes and Terraform in a cloud-first environment (AWS preferred). A strong track record with production observability: defining SLOs, building monitoring and alerting, and leading incident response and blameless post-incident reviews. Strong software engineering fundamentals in Python or Go, applied to infrastructure automation (experience with Kubernetes APIs a plus). Experience driving cloud cost-efficiency and performance optimization across compute, storage, and networking. Experience supporting AI/ML or data-intensive workloads in production is a plus. Experience operating in a security-conscious or regulated environment (HIPAA, SOC 2) is a plus. Fluency with AI tools (e.g., Claude) applied to real engineering and operations workflows, or strong motivation to build it fast. A desire to be a part of a high-performing, mission-driven team that operates with intense urgency, a strong sense of individual accountability, and a commitment to authentic feedback. Technologies we use: AWS, Kubernetes, Terraform, Istio, Python, Go, TypeScript, Postgres, NATS, Datadog, GitLab This is a unique opportunity to join a fast-growing company in a transformative role, helping shape the future of healthcare. We are unable to sponsor or take over sponsorship of an employment visa at this time. Compensation Transparency: The target range for this position is 191 000.00. Individual compensation for this role will depend on various factors, including qualifications, skills, and applicable laws. In addition to base compensation, this role is eligible to participate in our equity incentive and competitive benefits plans, including but not limited to: flexible PTO, Medical/Dental/Vision plan options, 401(k) with company match, flexible spending accounts, Teladoc Health and more. Fraud and Security Notice: Please be aware of recent job scam attempts. Our recruiters use and email domains exclusively. If you have been contacted by someone claiming to be a Garner recruiter or a hiring manager from a different domain about a potential job, please report it to law enforcement here and to . Equal Employment Opportunity: Garner Health is proud to be an Equal Employment Opportunity employer and values diversity in the workplace. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. Garner Health is committed to providing accommodations for qualified individuals with disabilities in our recruiting process. If you need assistance or an accommodation due to a disability, you may contact us at .
09/22/2026
Full time
Job Description Job Description What you'll be part of Garner is on a mission to transform the U.S. healthcare system - and we're the only proven player doing exactly that. We partner with employers to redesign how healthcare works: applying 550+ proprietary clinical metrics across 80+ specialties to a dataset of 320M+ patients to identify the best-performing doctors, then using compelling incentives to steer members to the care that helps them get healthier, faster. The result is a rare "win win" - better care and lower costs for both members and employers. In just five years, our work has helped over 2.5 million people access higher-quality care and saved $1B in healthcare costs. We recently raised our Series E and have doubled five years running. If you've ever wanted your work to solve a problem that touches every person in this country, this is the opportunity to do exactly that. You'd be joining a team fundamentally reimagining healthcare in the U.S. - and using AI to scale that impact further and faster than anyone else can. About the role: We are seeking a Senior Site Reliability Engineer to own the reliability, performance, and resilience of the cloud infrastructure powering Garner's products and AI/ML workloads. This role sits on our Platform Engineering team. You will run the machine: defining and upholding SLOs, leading incident response, and driving the automation and standards that let every Garner engineer ship faster and more reliably. Because our systems directly influence health outcomes for millions of patients, maintaining the highest standards of production quality is imperative. This is an automation-first role: you will use AI tools to continuously convert manual operational work into monitored, hands-free processes, so the role gets more leveraged as you build. Where you will work: Garner is headquartered in NYC, but this position is available for individuals who are comfortable with remote work and occasional travel to HQ. What you will do: Run the Machine: Own the end-to-end reliability, performance, and resilience of Garner's cloud environments (AWS, Kubernetes), including those powering AI/ML workloads; define, measure, and uphold SLOs across our critical services. Lead Incident Response: Serve in the on-call rotation, lead incident response, and drive deep-dive root cause analysis, seeing corrective actions through to resolution and rigorously reviewing infrastructure changes. Own Observability: Build and maintain the monitoring, alerting, and observability systems that let us detect and resolve issues before users feel them. Scale & Optimize: Translate ambiguous, high-performance scaling requirements into well-defined, automated, and composable infrastructure-as-code deliverables (Terraform); proactively identify and implement cost-efficiency and performance gains across the stack to maximize cloud ROI. Automate Away Toil: Pay down impactful tech debt and reduce operational toil, using AI tools and automation to convert repetitive operational work into hands-free, monitored processes, and holding our internal platform to the same rigorous standards as our customer-facing products. Enable Engineering: Build and maintain the deployment and observability standards that empower the broader engineering team to ship AI features faster and more reliably; communicate complex cloud and reliability concepts clearly to technical and non-technical stakeholders. Uphold Security & Compliance: Ensure our infrastructure and operations meet Garner's security and HIPAA compliance obligations. The ideal candidate has: 4+ years of hands-on experience operating production cloud infrastructure at scale in an SRE, DevOps, or platform engineering role. Deep expertise with Kubernetes and Terraform in a cloud-first environment (AWS preferred). A strong track record with production observability: defining SLOs, building monitoring and alerting, and leading incident response and blameless post-incident reviews. Strong software engineering fundamentals in Python or Go, applied to infrastructure automation (experience with Kubernetes APIs a plus). Experience driving cloud cost-efficiency and performance optimization across compute, storage, and networking. Experience supporting AI/ML or data-intensive workloads in production is a plus. Experience operating in a security-conscious or regulated environment (HIPAA, SOC 2) is a plus. Fluency with AI tools (e.g., Claude) applied to real engineering and operations workflows, or strong motivation to build it fast. A desire to be a part of a high-performing, mission-driven team that operates with intense urgency, a strong sense of individual accountability, and a commitment to authentic feedback. Technologies we use: AWS, Kubernetes, Terraform, Istio, Python, Go, TypeScript, Postgres, NATS, Datadog, GitLab This is a unique opportunity to join a fast-growing company in a transformative role, helping shape the future of healthcare. We are unable to sponsor or take over sponsorship of an employment visa at this time. Compensation Transparency: The target range for this position is 191 000.00. Individual compensation for this role will depend on various factors, including qualifications, skills, and applicable laws. In addition to base compensation, this role is eligible to participate in our equity incentive and competitive benefits plans, including but not limited to: flexible PTO, Medical/Dental/Vision plan options, 401(k) with company match, flexible spending accounts, Teladoc Health and more. Fraud and Security Notice: Please be aware of recent job scam attempts. Our recruiters use and email domains exclusively. If you have been contacted by someone claiming to be a Garner recruiter or a hiring manager from a different domain about a potential job, please report it to law enforcement here and to . Equal Employment Opportunity: Garner Health is proud to be an Equal Employment Opportunity employer and values diversity in the workplace. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. Garner Health is committed to providing accommodations for qualified individuals with disabilities in our recruiting process. If you need assistance or an accommodation due to a disability, you may contact us at .
Job Description Job Description We are seeking an experienced CSV Consultant with expertise in Computer System Validation (CSV) , SAP ERP , and Generative AI/Agentic AI in a GxP-regulated environment . The ideal candidate will have strong experience validating enterprise applications while ensuring compliance with FDA and global regulatory standards. Key Responsibilities: Perform Computer System Validation (CSV) activities for SAP ERP, WMS, and enterprise applications. Develop and execute validation documentation, including Validation Plans, Requirements, Test Protocols, Traceability Matrix, and Validation Summary Reports. Validate AI-enabled systems, including Generative AI, Agentic AI, LLM-based applications, AI agents, and orchestration frameworks. Ensure compliance with GAMP 5, CSA, 21 CFR Part 11, Annex 11, and GxP regulations. Review and approve system testing, UAT scripts, design specifications, and validation deliverables. Support audit and inspection readiness activities. Collaborate with cross-functional and remote teams to deliver validation projects. Provide validation guidance and support multiple projects simultaneously. Required Skills: 5+ years of Computer System Validation (CSV) experience in GxP-regulated environments. Strong experience with SAP ERP (mandatory). Experience validating Generative AI , Agentic AI , LLM-based applications, and AI governance. Knowledge of GAMP 5, CSA, FDA regulations, 21 CFR Part 11, Annex 11, and risk-based validation. Experience in the pharmaceutical, biotechnology, or medical device industry. Excellent documentation, analytical, communication, and problem-solving skills. Flexible work from home options available.
09/22/2026
Full time
Job Description Job Description We are seeking an experienced CSV Consultant with expertise in Computer System Validation (CSV) , SAP ERP , and Generative AI/Agentic AI in a GxP-regulated environment . The ideal candidate will have strong experience validating enterprise applications while ensuring compliance with FDA and global regulatory standards. Key Responsibilities: Perform Computer System Validation (CSV) activities for SAP ERP, WMS, and enterprise applications. Develop and execute validation documentation, including Validation Plans, Requirements, Test Protocols, Traceability Matrix, and Validation Summary Reports. Validate AI-enabled systems, including Generative AI, Agentic AI, LLM-based applications, AI agents, and orchestration frameworks. Ensure compliance with GAMP 5, CSA, 21 CFR Part 11, Annex 11, and GxP regulations. Review and approve system testing, UAT scripts, design specifications, and validation deliverables. Support audit and inspection readiness activities. Collaborate with cross-functional and remote teams to deliver validation projects. Provide validation guidance and support multiple projects simultaneously. Required Skills: 5+ years of Computer System Validation (CSV) experience in GxP-regulated environments. Strong experience with SAP ERP (mandatory). Experience validating Generative AI , Agentic AI , LLM-based applications, and AI governance. Knowledge of GAMP 5, CSA, FDA regulations, 21 CFR Part 11, Annex 11, and risk-based validation. Experience in the pharmaceutical, biotechnology, or medical device industry. Excellent documentation, analytical, communication, and problem-solving skills. Flexible work from home options available.
Job Description Job Description Curinos empowers financial institutions to put customers at the center of every decision. Our AI-first platform transforms proprietary data, advanced analytics and deep financial services expertise into timely recommendations - delivered right where teams work. The result: confident decisions, stronger customer relationships, and lasting, profitable growth. Curinos operates under a hybrid modality and has office locations in New York, Chicago, Boston, Toronto, and London. This role is open to hybrid/ remote candidates based in the United States. Job Description We are seeking a Senior ML/AI Platform Engineer to help build and operate Curinos' Databricks-native AI platform. This role sits at the intersection of machine learning engineering, platform engineering, and site reliability, with a focus on enabling reliable deployment and operation of AI and ML systems at scale. This is a high-impact role that will unlock the next phase of Curinos scalable growth. You will be responsible for designing and implementing the infrastructure, tooling, automation, observability, and governance capabilities that power production machine learning models, LLM applications, and agentic AI workflows. You will work with applied scientists to move solutions from experimentation to production quickly, safely, and repeatably. You will "build it once and scale it many times." We are a Databricks-first organization and make extensive use of Databricks Workflows, Asset Bundles, Unity Catalog, MLflow, Delta Live Tables, and related ecosystem tools. You will work closely with data scientists, data engineers, software engineers, and product teams embed AI and ML capabilities into our products, as well as automate operational processes to achieve reliable, scalable efficiencies across data and algorithmic workflows company-wide. As a FinTech company operating in a regulated environment, we place strong emphasis on governance, reproducibility, observability, and operational excellence. This role is critical to ensuring our AI platform and ML solutions meet those standards while remaining fast-moving and developer-friendly. Responsibilities Design, build, and maintain platform capabilities for deploying, monitoring, and operating ML models, LLM applications, and agentic AI workflows. Develop automated CI/CD pipelines and infrastructure-as-code patterns for AI and machine learning workloads. Create platformtoolingthatstandardizes deployment practicesof AI and ML capabilitiesacross teams. Build observability solutions that track model health, service reliability, cost, performance, AI safety metrics, and business outcomes. Implement scalable evaluation and monitoring frameworks for LLMs, agentic workflows, and generative AI applications. Partner withscientists and engineers toproductionizenewMLmodels and AI capabilities. Support governance, auditability, reproducibility, and model lifecycle management requirements. Strongly advocate and demonstrateoperational excellence practices includingplatform automation,reliability improvements,incident response, root cause analysis. Design, revise, and document architecture patterns, operational procedures, and engineering best practices. Salary Range: $ 130,000- $147,000 USD (plus bonus Desired Skills & Experience Strong experience building and operating ML, AI, data, or cloud platforms in production environments. Deep hands-on expertise with Databricks, including Workflows, Delta Lake, Delta Live Tables, Unity Catalog, Asset Bundles,MLflow, Python,PySpark, andSparkSQL. Experience with modernMLOpspractices including CI/CD, automated testing, model deployment, feature management, observability, and governance. Experience working with LLMs, agentic AI systems, evaluation frameworks, AI safety controls, and model monitoring solutions. Experience with model serving architectures, APIs, MCP servers, and scalable inference systems. Understanding of production support, incident management, and operational excellence practices. Strong communication skills and the ability to work effectively across multidisciplinary teams that make use of the AI and ML workflows you build. Why work at Curinos? Competitive benefits, including a range of Financial, Health and Lifestyle benefits to choose from Flexible working options, including home working, flexible hours and part time options, depending on the role requirements - please ask! Unlimited PTO policy, floating holidays, volunteering days and a day off for your birthday Learning and development tools to assist with your career development Work with industry leading Subject Matter Experts and specialist products Regular social events and networking opportunities Collaborative, supportive culture, including an active DE&I program Employee Assistance Program which provides expert third-party advice on well-being, relationships, legal and financial matters, as well as access to counselling services Applying We know that sometimes the 'perfect candidate' doesn't exist, and that people can be put off applying for a job if they don't meet all the requirements. If you're excited about working for us and have relevant skills or experience, please go ahead and apply. You could be just what we need! If you need any adjustments to support your application, such as information in alternative formats, special requirements to access our buildings or adjusted interview formats please contact us at and we'll do everything we can to help. Inclusivity at Curinos We believe strongly in the value of diversity and creating supportive, inclusive environments where our colleagues can succeed. As such, Curinos is proud to be an Equal Opportunity Employer. We do not discriminate on the basis of race, color, ancestry, national origin, religion, or religious creed, mental or physical disability, medical condition, genetic information, sex (including pregnancy, childbirth, and related medical conditions), sexual orientation, gender identity, gender expression, age, marital status, military or veteran status, citizenship, or other protected characteristics.
09/22/2026
Full time
Job Description Job Description Curinos empowers financial institutions to put customers at the center of every decision. Our AI-first platform transforms proprietary data, advanced analytics and deep financial services expertise into timely recommendations - delivered right where teams work. The result: confident decisions, stronger customer relationships, and lasting, profitable growth. Curinos operates under a hybrid modality and has office locations in New York, Chicago, Boston, Toronto, and London. This role is open to hybrid/ remote candidates based in the United States. Job Description We are seeking a Senior ML/AI Platform Engineer to help build and operate Curinos' Databricks-native AI platform. This role sits at the intersection of machine learning engineering, platform engineering, and site reliability, with a focus on enabling reliable deployment and operation of AI and ML systems at scale. This is a high-impact role that will unlock the next phase of Curinos scalable growth. You will be responsible for designing and implementing the infrastructure, tooling, automation, observability, and governance capabilities that power production machine learning models, LLM applications, and agentic AI workflows. You will work with applied scientists to move solutions from experimentation to production quickly, safely, and repeatably. You will "build it once and scale it many times." We are a Databricks-first organization and make extensive use of Databricks Workflows, Asset Bundles, Unity Catalog, MLflow, Delta Live Tables, and related ecosystem tools. You will work closely with data scientists, data engineers, software engineers, and product teams embed AI and ML capabilities into our products, as well as automate operational processes to achieve reliable, scalable efficiencies across data and algorithmic workflows company-wide. As a FinTech company operating in a regulated environment, we place strong emphasis on governance, reproducibility, observability, and operational excellence. This role is critical to ensuring our AI platform and ML solutions meet those standards while remaining fast-moving and developer-friendly. Responsibilities Design, build, and maintain platform capabilities for deploying, monitoring, and operating ML models, LLM applications, and agentic AI workflows. Develop automated CI/CD pipelines and infrastructure-as-code patterns for AI and machine learning workloads. Create platformtoolingthatstandardizes deployment practicesof AI and ML capabilitiesacross teams. Build observability solutions that track model health, service reliability, cost, performance, AI safety metrics, and business outcomes. Implement scalable evaluation and monitoring frameworks for LLMs, agentic workflows, and generative AI applications. Partner withscientists and engineers toproductionizenewMLmodels and AI capabilities. Support governance, auditability, reproducibility, and model lifecycle management requirements. Strongly advocate and demonstrateoperational excellence practices includingplatform automation,reliability improvements,incident response, root cause analysis. Design, revise, and document architecture patterns, operational procedures, and engineering best practices. Salary Range: $ 130,000- $147,000 USD (plus bonus Desired Skills & Experience Strong experience building and operating ML, AI, data, or cloud platforms in production environments. Deep hands-on expertise with Databricks, including Workflows, Delta Lake, Delta Live Tables, Unity Catalog, Asset Bundles,MLflow, Python,PySpark, andSparkSQL. Experience with modernMLOpspractices including CI/CD, automated testing, model deployment, feature management, observability, and governance. Experience working with LLMs, agentic AI systems, evaluation frameworks, AI safety controls, and model monitoring solutions. Experience with model serving architectures, APIs, MCP servers, and scalable inference systems. Understanding of production support, incident management, and operational excellence practices. Strong communication skills and the ability to work effectively across multidisciplinary teams that make use of the AI and ML workflows you build. Why work at Curinos? Competitive benefits, including a range of Financial, Health and Lifestyle benefits to choose from Flexible working options, including home working, flexible hours and part time options, depending on the role requirements - please ask! Unlimited PTO policy, floating holidays, volunteering days and a day off for your birthday Learning and development tools to assist with your career development Work with industry leading Subject Matter Experts and specialist products Regular social events and networking opportunities Collaborative, supportive culture, including an active DE&I program Employee Assistance Program which provides expert third-party advice on well-being, relationships, legal and financial matters, as well as access to counselling services Applying We know that sometimes the 'perfect candidate' doesn't exist, and that people can be put off applying for a job if they don't meet all the requirements. If you're excited about working for us and have relevant skills or experience, please go ahead and apply. You could be just what we need! If you need any adjustments to support your application, such as information in alternative formats, special requirements to access our buildings or adjusted interview formats please contact us at and we'll do everything we can to help. Inclusivity at Curinos We believe strongly in the value of diversity and creating supportive, inclusive environments where our colleagues can succeed. As such, Curinos is proud to be an Equal Opportunity Employer. We do not discriminate on the basis of race, color, ancestry, national origin, religion, or religious creed, mental or physical disability, medical condition, genetic information, sex (including pregnancy, childbirth, and related medical conditions), sexual orientation, gender identity, gender expression, age, marital status, military or veteran status, citizenship, or other protected characteristics.
Job Description Job Description Job Title: RF/Systems Engineer Location: Hoboken, NJ Division: Revenue Department: Defense About Us: Quantum Computing Inc. (QCi) (Nasdaq: QUBT) is an innovative, integrated photonics company that provides accessible and affordable quantum machines to the world today. QCi products are designed to operate at room temperature and low power at an affordable cost. The Company's portfolio of core technology and products offer unique capabilities in the areas of high-performance computing, artificial intelligence, cyber security as well as remote sensing applications. Position Description: We are seeking an experienced and talented RF/Systems Engineer to be part of our developmental efforts. As an RF/Systems Engineer you will be responsible for researching, designing, developing, and applying novel and advanced physical effects in the fields of photonics, quantum sensing, and beyond to the practical missions of RF communications and signal intelligence to provide new strategic capabilities for the warfighter. The ideal candidate will have a strong background in experimentation and the scientific method, having designed and carried out experiments and test plans, as well as a strong background in RF and electromagnetic theory, simulation, and correlating theoretical and simulated predictions with experimentally measured results. This position offers a unique opportunity to apply your expertise and skills in a challenging and innovative technology environment. This position offers a unique opportunity to be at the forefront of quantum technology, contributing to the advancement of groundbreaking solutions in the rapidly evolving field of quantum computing. Duties and Responsibilities: Support the development of several platforms based around the application of classical and quantum photonics to tactical RF systems as an RF/Systems engineer. Work alongside other physicists and engineers to design novel and mission- enabling tactical RF systems Evaluate critical component performance via board-level and system-level lab testing (LNAs, HPAs, filters, couplers, mixing blocks, etc.) Work with hardware engineers, mechanical engineers, and quantum scientists during various phases of lab testing. Evaluate, design, or simulate custom RF antenna apertures, microwave and photonic structures, and devise methods to fabricate and experimentally verify performance. Integrate custom components into larger tactical systems. Maintain documentation expected at milestone events during the entire design cycle (theory of operations, manufacturing documentation, validation testing results, etc.) Perform integration testing to validate system performance. Required Skills and Experience: Bachelor of Science (BS) in Physics, Engineering Physics, RF Engineering, or Electrical Engineering from an accredited university. 5-10+ EERF Systems Experience Knowledge of antennas and microwave/photonic circuits. Experience with at least one computational EM solver (Ansys HFSS, CST Microwave Studio, FEKO, AWG Microwave Office, or others) as well as understanding of the underlying mathematics of various simulation methods (MoM, FDTD, FEM) and their strengths and limitations. Familiarity with microwave PCB design best practices related to Signal Integrity, Power Handling, Impedance Matching and EMI/EMC compliance. Strong foundation in PCB and antenna design related to DFM, DFT, and DFA best practices. Strong electrical engineering fundamentals in Analog, Power, and Digital Electronics. Advanced experience with amplifiers, hybrid couplers, circulators, attenuators, mixers and waveguides. Experience with microwave network design and optimization. Experience in hardware production, quality verification, analyzing variability and determining tolerances. Advanced experience comparing experimental measurement with simulated prediction of electromagnetic effects. Strong experience with RF communication bands, modulations and protocols. Hands-on experience with tuning, testing, troubleshooting, and integration with lab instruments such as: DMMs, Oscilloscopes, Vector Network Analyzers, and Spectrum Analyzers. Software knowledge across C, C++, MATLAB/Octave, or Python. Able to lift weights up to 50lbs (occasionally). DoD Security Clearance, or ability to obtain one, required. Excellent problem-solving and analytical skills. Excellent written and verbal communication skills. Detail-oriented. Additional Preferred Skills: Master of Science (MS) degree in Applied Physics, RF Engineering, or Electrical Engineering. Experience designing integrated electronics, LNAs, mode forming networks, etc. Experience working with optoelectronics. Experience with military tactical radios and tactical protocols (Phantom, Saturn, Link-16, etc.) Experience with RF analog, digital, and mixed-signal electronics. Experience designing systems to meet compliance and certification requirements (e.g., CE/FCC). Experience with quantum sensing. Proficiency in RF performance validation in anechoic chambers. Experience with radars and radar cross section. Solid background in signal processing, communication theory, and link analysis. Experience in satellite communication and system considerations. Experience with manual board prototyping/refurbing using essential equipment like soldering irons and hot air guns. Quantum Computing Inc. (QCi) is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status, or any other characteristic protected by applicable federal, state, or local law. Incumbent(s) in this position may be required to perform other duties and special assignments not specifically stated above. Statements outlined in this section are designated as essential job functions in accordance with the Americans with Disabilities Act of 1990.
09/22/2026
Full time
Job Description Job Description Job Title: RF/Systems Engineer Location: Hoboken, NJ Division: Revenue Department: Defense About Us: Quantum Computing Inc. (QCi) (Nasdaq: QUBT) is an innovative, integrated photonics company that provides accessible and affordable quantum machines to the world today. QCi products are designed to operate at room temperature and low power at an affordable cost. The Company's portfolio of core technology and products offer unique capabilities in the areas of high-performance computing, artificial intelligence, cyber security as well as remote sensing applications. Position Description: We are seeking an experienced and talented RF/Systems Engineer to be part of our developmental efforts. As an RF/Systems Engineer you will be responsible for researching, designing, developing, and applying novel and advanced physical effects in the fields of photonics, quantum sensing, and beyond to the practical missions of RF communications and signal intelligence to provide new strategic capabilities for the warfighter. The ideal candidate will have a strong background in experimentation and the scientific method, having designed and carried out experiments and test plans, as well as a strong background in RF and electromagnetic theory, simulation, and correlating theoretical and simulated predictions with experimentally measured results. This position offers a unique opportunity to apply your expertise and skills in a challenging and innovative technology environment. This position offers a unique opportunity to be at the forefront of quantum technology, contributing to the advancement of groundbreaking solutions in the rapidly evolving field of quantum computing. Duties and Responsibilities: Support the development of several platforms based around the application of classical and quantum photonics to tactical RF systems as an RF/Systems engineer. Work alongside other physicists and engineers to design novel and mission- enabling tactical RF systems Evaluate critical component performance via board-level and system-level lab testing (LNAs, HPAs, filters, couplers, mixing blocks, etc.) Work with hardware engineers, mechanical engineers, and quantum scientists during various phases of lab testing. Evaluate, design, or simulate custom RF antenna apertures, microwave and photonic structures, and devise methods to fabricate and experimentally verify performance. Integrate custom components into larger tactical systems. Maintain documentation expected at milestone events during the entire design cycle (theory of operations, manufacturing documentation, validation testing results, etc.) Perform integration testing to validate system performance. Required Skills and Experience: Bachelor of Science (BS) in Physics, Engineering Physics, RF Engineering, or Electrical Engineering from an accredited university. 5-10+ EERF Systems Experience Knowledge of antennas and microwave/photonic circuits. Experience with at least one computational EM solver (Ansys HFSS, CST Microwave Studio, FEKO, AWG Microwave Office, or others) as well as understanding of the underlying mathematics of various simulation methods (MoM, FDTD, FEM) and their strengths and limitations. Familiarity with microwave PCB design best practices related to Signal Integrity, Power Handling, Impedance Matching and EMI/EMC compliance. Strong foundation in PCB and antenna design related to DFM, DFT, and DFA best practices. Strong electrical engineering fundamentals in Analog, Power, and Digital Electronics. Advanced experience with amplifiers, hybrid couplers, circulators, attenuators, mixers and waveguides. Experience with microwave network design and optimization. Experience in hardware production, quality verification, analyzing variability and determining tolerances. Advanced experience comparing experimental measurement with simulated prediction of electromagnetic effects. Strong experience with RF communication bands, modulations and protocols. Hands-on experience with tuning, testing, troubleshooting, and integration with lab instruments such as: DMMs, Oscilloscopes, Vector Network Analyzers, and Spectrum Analyzers. Software knowledge across C, C++, MATLAB/Octave, or Python. Able to lift weights up to 50lbs (occasionally). DoD Security Clearance, or ability to obtain one, required. Excellent problem-solving and analytical skills. Excellent written and verbal communication skills. Detail-oriented. Additional Preferred Skills: Master of Science (MS) degree in Applied Physics, RF Engineering, or Electrical Engineering. Experience designing integrated electronics, LNAs, mode forming networks, etc. Experience working with optoelectronics. Experience with military tactical radios and tactical protocols (Phantom, Saturn, Link-16, etc.) Experience with RF analog, digital, and mixed-signal electronics. Experience designing systems to meet compliance and certification requirements (e.g., CE/FCC). Experience with quantum sensing. Proficiency in RF performance validation in anechoic chambers. Experience with radars and radar cross section. Solid background in signal processing, communication theory, and link analysis. Experience in satellite communication and system considerations. Experience with manual board prototyping/refurbing using essential equipment like soldering irons and hot air guns. Quantum Computing Inc. (QCi) is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status, or any other characteristic protected by applicable federal, state, or local law. Incumbent(s) in this position may be required to perform other duties and special assignments not specifically stated above. Statements outlined in this section are designated as essential job functions in accordance with the Americans with Disabilities Act of 1990.
Job Description Job Description Career Renew is recruiting for one of its clients a Senior Machine Learning Engineer - this is a fully remote role for US/Canada based candidates. Salary range: 165-225K USD yearly plus benefits plus equity. We are the leading virtual staining company revolutionizing digital pathology adoption worldwide through cutting-edge AI-powered technology. Our solutions deliver diagnostic-quality results in minutes while preserving tissue samples for comprehensive analysis. Our breakthrough DeepStain and ReStain technologies enable unlimited virtual staining from a single tissue sample, eliminating the bottlenecks and limitations of traditional chemical staining processes. This innovation supports the critical evolution from research applications to clinical deployment, empowering laboratories to advance their digital pathology capabilities while reducing chemical waste, improving operational efficiency, and expanding diagnostic possibilities. About the Role We are seeking an experienced Senior ML Engineer to join our team who owns the representation-learning and generative modeling stack that powers Pictor's virtual staining. The ideal candidate will have deep expertise in Machine Learning and building generalizable, production-ready models, and evaluations that stand up in clinical workflows. Design and implement novel computer vision and deep learning algorithms for virtual staining and digital pathology applications Conduct rigorous experiments to evaluate algorithm performance, validate research hypotheses, and drive iterative improvements Develop and advance ML models leveraging Vision Transformers, Diffusion Models, GANs, and generative architectures for image-to-image translation tasks Apply classical and learned image enhancement, denoising, and semantic segmentation techniques to histopathology imaging challenges Explore image representation in latent space for efficient, high-fidelity virtual staining Stay current with state-of-the-art research, identifying opportunities to apply novel techniques to PictorLabs' product roadmap Collaboration Collaborate with ML Engineering and software teams to translate research prototypes into production-ready systems meeting latency and throughput requirements Work with large-scale pathology datasets to train, validate, and fine-tune foundation models and custom architectures Partner with software engineers, data scientists, and pathology domain experts to integrate research into production systems Contribute to best practices for data engineering, data governance, and data quality across research and production pipelines Leverage AI coding and ideation tools to accelerate research velocity and prototype new approaches Required Qualifications PhD (preferred) or Master's degree in Computer Science, Electrical Engineering, or a related field Deep expertise in computer vision and deep learning, with hands-on experience in one or more of: Vision Transformers, Diffusion Models, GANs, semantic segmentation, or classical image enhancement and denoising Expert proficiency in Python and PyTorch and other scientific computing environments a plus Strong mathematical foundation in linear algebra, probability, and optimization Experience with large-scale model training, distributed computing, or cloud ML infrastructure (AWS, GCP, or Azure) Knowledge of handling large scale image data, data version controls, model registry, has experience dealing with ML lifecycles Experience with feature search, data balancing, and data curation pipelines. Knowledge of software engineering best practices including version control (Git) and CI/CD pipelines Excellent collaboration and communication skills, with the ability to work effectively in a fast-paced, cross-functional international startup environment Extensive use of AI tools for coding, optimization, and ideation Preferred Qualifications Experience with medical imaging, digital pathology, or whole slide image (WSI) processing Experience with LoRAs, transformer architecture and state of the art image to image translation models (Flux 2, Z-Image) and the Hugging face ecosystem Background in generative models and fine-tuning of foundation models Experience with GPU acceleration and optimization, including CUDA kernel engineering, TensorRT/ONNX export, and inference serving frameworks such as Triton Experience with hosting computer vision model inference on NVIDIA DGX Spark. Understanding of FDA regulatory requirements for AI/ML in medical devices Experience with MLOps tools (MLflow, Kubeflow) and model versioning practices Develop tools and frameworks to streamline ML research workflows, experimentation, and reproducibility What We Offer The opportunity to work on technology that directly improves patient outcomes and transforms clinical diagnostics, alongside a talented team of engineers and researchers pushing the boundaries of AI in healthcare. You will have the freedom to pursue high-impact research while seeing your work deployed at scale in real clinical environments.
09/22/2026
Full time
Job Description Job Description Career Renew is recruiting for one of its clients a Senior Machine Learning Engineer - this is a fully remote role for US/Canada based candidates. Salary range: 165-225K USD yearly plus benefits plus equity. We are the leading virtual staining company revolutionizing digital pathology adoption worldwide through cutting-edge AI-powered technology. Our solutions deliver diagnostic-quality results in minutes while preserving tissue samples for comprehensive analysis. Our breakthrough DeepStain and ReStain technologies enable unlimited virtual staining from a single tissue sample, eliminating the bottlenecks and limitations of traditional chemical staining processes. This innovation supports the critical evolution from research applications to clinical deployment, empowering laboratories to advance their digital pathology capabilities while reducing chemical waste, improving operational efficiency, and expanding diagnostic possibilities. About the Role We are seeking an experienced Senior ML Engineer to join our team who owns the representation-learning and generative modeling stack that powers Pictor's virtual staining. The ideal candidate will have deep expertise in Machine Learning and building generalizable, production-ready models, and evaluations that stand up in clinical workflows. Design and implement novel computer vision and deep learning algorithms for virtual staining and digital pathology applications Conduct rigorous experiments to evaluate algorithm performance, validate research hypotheses, and drive iterative improvements Develop and advance ML models leveraging Vision Transformers, Diffusion Models, GANs, and generative architectures for image-to-image translation tasks Apply classical and learned image enhancement, denoising, and semantic segmentation techniques to histopathology imaging challenges Explore image representation in latent space for efficient, high-fidelity virtual staining Stay current with state-of-the-art research, identifying opportunities to apply novel techniques to PictorLabs' product roadmap Collaboration Collaborate with ML Engineering and software teams to translate research prototypes into production-ready systems meeting latency and throughput requirements Work with large-scale pathology datasets to train, validate, and fine-tune foundation models and custom architectures Partner with software engineers, data scientists, and pathology domain experts to integrate research into production systems Contribute to best practices for data engineering, data governance, and data quality across research and production pipelines Leverage AI coding and ideation tools to accelerate research velocity and prototype new approaches Required Qualifications PhD (preferred) or Master's degree in Computer Science, Electrical Engineering, or a related field Deep expertise in computer vision and deep learning, with hands-on experience in one or more of: Vision Transformers, Diffusion Models, GANs, semantic segmentation, or classical image enhancement and denoising Expert proficiency in Python and PyTorch and other scientific computing environments a plus Strong mathematical foundation in linear algebra, probability, and optimization Experience with large-scale model training, distributed computing, or cloud ML infrastructure (AWS, GCP, or Azure) Knowledge of handling large scale image data, data version controls, model registry, has experience dealing with ML lifecycles Experience with feature search, data balancing, and data curation pipelines. Knowledge of software engineering best practices including version control (Git) and CI/CD pipelines Excellent collaboration and communication skills, with the ability to work effectively in a fast-paced, cross-functional international startup environment Extensive use of AI tools for coding, optimization, and ideation Preferred Qualifications Experience with medical imaging, digital pathology, or whole slide image (WSI) processing Experience with LoRAs, transformer architecture and state of the art image to image translation models (Flux 2, Z-Image) and the Hugging face ecosystem Background in generative models and fine-tuning of foundation models Experience with GPU acceleration and optimization, including CUDA kernel engineering, TensorRT/ONNX export, and inference serving frameworks such as Triton Experience with hosting computer vision model inference on NVIDIA DGX Spark. Understanding of FDA regulatory requirements for AI/ML in medical devices Experience with MLOps tools (MLflow, Kubeflow) and model versioning practices Develop tools and frameworks to streamline ML research workflows, experimentation, and reproducibility What We Offer The opportunity to work on technology that directly improves patient outcomes and transforms clinical diagnostics, alongside a talented team of engineers and researchers pushing the boundaries of AI in healthcare. You will have the freedom to pursue high-impact research while seeing your work deployed at scale in real clinical environments.
Job Description Job Description Are you ready to shape the future of IT? Join Integris, where integrity meets innovation, and people come first. At Integris, we don't just offer jobs, we offer purpose. As a nationally recognized Best Places to Work and a leader in future-ready managed services , we're redefining how businesses experience IT. Our mission is bold: to empower clients and employees alike through secure, strategic, and scalable technology solutions. We're looking for talent that thrives in a culture of clarity, trust, and relentless execution , individuals who believe that IT is not just support, but a strategic advantage. If you're passionate about innovation, driven by impact, and ready to grow with a company that puts People First , you'll find your place here. Job Summary: The Systems Technician is responsible for providing frontline technical support for single end-user level issues, including personal computer, printer, Microsoft 365, Windows application, mobile device, and basic connectivity matters. This role serves as the initial point of contact for client technical assistance and is responsible for managing inquiries received through phone, email, and the client portal. The Systems Technician provides exceptional customer service while troubleshooting and resolving support requests efficiently and effectively. This position may execute responsibilities from the service desk, the field, a client site, an Integris office, or a remote home office depending on business and client needs. This role is expected to build technical capability over time, follow documented processes, maintain accurate service ticket documentation, and escalate complex technical issues to Systems Administrators or Systems Engineers when appropriate. The Systems Technician contributes to a positive client experience and plays an important role in maintaining daily service delivery operations. Job Responsibilities: Ticket Management Ability and willingness to provide onsite technical support when required. While most work may be performed remotely, this position requires technicians to travel to designated locations as business needs dictate. Work assigned tickets in order of SLA. Serve as the first point of contact for client support requests received through phone, email, and client portal. Answer inbound support calls, create service tickets, and ensure requests are properly documented, categorized, and prioritized. Troubleshoot and resolve frontline technical issues efficiently and effectively to minimize disruption to customer operations. Escalate advanced or unresolved technical issues to Systems Administrators or Systems Engineers following established escalation procedures. Document all technical work comprehensively to facilitate accurate client billing and ongoing support. Collaboration, Communication, and Customer Service Demonstrate excellent customer service skills with a focus on professionalism, responsiveness, and problem-solving. Communicate clearly with clients regarding ticket status, troubleshooting steps, next steps, and resolution details. Collaborate with Systems Administrators, Systems Engineers, and other technical team members to resolve client issues. Participate in team meetings, training sessions, documentation efforts, and knowledge-sharing activities. Follow up with clients and internal team members as needed to support timely issue resolution and a positive client experience. Technical Support & Documentation Provide frontline technical support for end-user devices, Microsoft 365 applications, and common infrastructure issues, escalating complex issues as appropriate. Support the configuration, maintenance, and troubleshooting of workstations, peripheral devices, and basic server, networking, and cloud technologies under established procedures. Assist with Microsoft 365 user administration, including account provisioning, password resets, licensing, and basic support for Exchange Online, Teams, and SharePoint. Troubleshoot common connectivity issues involving workstations, printers, wireless networks, VPN access, and basic network services, escalating advanced networking issues when necessary. Support backup verification, endpoint management, documentation, ticketing, remote management, and monitoring tools as part of daily operational activities. Collaborate with Systems Administrators, Systems Engineers, and other team members to resolve client issues while continuing to develop technical knowledge and skills. Follow established IT service management processes and Standard Operating Procedures (SOPs) to deliver consistent, high-quality support. Maintain accurate documentation of work performed and contribute to knowledge base articles and SOP updates as appropriate. Professional Development & Technical Growth Demonstrate curiosity and commitment to continuous learning across Microsoft technologies, networking fundamentals, service delivery, and client support. Participate in training, coaching, and certification pathways that support continued growth into advanced technical responsibilities. Leverage approved AI solutions responsibly to accelerate learning, improve troubleshooting efficiency, enhance documentation quality, and support better customer outcomes. Develop foundational technical knowledge that prepares the employee for potential progression into Systems Administrator responsibilities. Job Qualifications Education/Certification Requirements: Associate degree in Computer Science, Information Technology, or related field preferred (or equivalent experience). Valid driver's license. Entry-level certifications are preferred. Examples including but not limited to: CompTIA A+ Google IT Support Professional Certificate Microsoft Fundamentals certifications CompTIA Network+ Experience Requirements: 1-3 years of experience in technical support, help desk, desktop support, call center technical support, field support, or related IT support roles. Experience supporting Microsoft operating systems, Microsoft 365 applications, basic networking issues, and end-user technology. Experience delivering customer-facing support with a strong focus on professionalism, communication, and service quality. Experience working within a Managed Services Provider (MSP), consulting, or multi-client IT support environment is preferred. Technical Knowledge & Experience (including, but not limited to): Administration and troubleshooting of Windows workstation environments. Basic Microsoft 365 administration and end-user support. Basic Active Directory and Microsoft Entra ID user administration. Basic understanding of Azure cloud concepts and Microsoft cloud services. Basic networking fundamentals including TCP/IP, DNS, DHCP, VPNs, wireless connectivity, and general connectivity troubleshooting. Experience using ticketing systems and remote support tools, including ConnectWise or similar platforms. Familiarity with endpoint management and remote monitoring tools, including Intune, ConnectWise Automate, or similar technologies. Familiarity with firewall, wireless, and network support tools, including WatchGuard, Meraki, or similar technologies. Working knowledge of hardware, printers, mobile devices, peripherals, and workstation deployment. Working knowledge of cybersecurity best practices, user security awareness, data privacy, and appropriate handling of client information. Working knowledge of AI-assisted productivity and support tools, including Microsoft Copilot, Chat GPT Enterprise, and other approved generative AI solutions. Ability to leverage AI tools responsibly to improve troubleshooting efficiency, documentation quality, and customer support outcomes. At Integris , we value our team members and offer comprehensive benefits , including: Medical, Dental, and Vision Insurance 401K Retirement Plan Minimum 4 Weeks of Paid Time Off (PTO) Birthday PTO Paid Holidays Paid Time Off for Volunteering Short-Term and Long-Term Disability Insurance Life Insurance Supplemental Insurance Employee Assistance Program Join us in transforming IT services for small and midsize businesses across regulated industries. Be part of a team that's scaling nationally, investing in vertical expertise, and building for better . Integris is an equal opportunity employer, committed to diversity and inclusion. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, gender, pregnancy, sexual orientation, gender identity, age, familial status, disability, genetic information, or any other protected class under applicable federal, state, and local laws.
09/22/2026
Full time
Job Description Job Description Are you ready to shape the future of IT? Join Integris, where integrity meets innovation, and people come first. At Integris, we don't just offer jobs, we offer purpose. As a nationally recognized Best Places to Work and a leader in future-ready managed services , we're redefining how businesses experience IT. Our mission is bold: to empower clients and employees alike through secure, strategic, and scalable technology solutions. We're looking for talent that thrives in a culture of clarity, trust, and relentless execution , individuals who believe that IT is not just support, but a strategic advantage. If you're passionate about innovation, driven by impact, and ready to grow with a company that puts People First , you'll find your place here. Job Summary: The Systems Technician is responsible for providing frontline technical support for single end-user level issues, including personal computer, printer, Microsoft 365, Windows application, mobile device, and basic connectivity matters. This role serves as the initial point of contact for client technical assistance and is responsible for managing inquiries received through phone, email, and the client portal. The Systems Technician provides exceptional customer service while troubleshooting and resolving support requests efficiently and effectively. This position may execute responsibilities from the service desk, the field, a client site, an Integris office, or a remote home office depending on business and client needs. This role is expected to build technical capability over time, follow documented processes, maintain accurate service ticket documentation, and escalate complex technical issues to Systems Administrators or Systems Engineers when appropriate. The Systems Technician contributes to a positive client experience and plays an important role in maintaining daily service delivery operations. Job Responsibilities: Ticket Management Ability and willingness to provide onsite technical support when required. While most work may be performed remotely, this position requires technicians to travel to designated locations as business needs dictate. Work assigned tickets in order of SLA. Serve as the first point of contact for client support requests received through phone, email, and client portal. Answer inbound support calls, create service tickets, and ensure requests are properly documented, categorized, and prioritized. Troubleshoot and resolve frontline technical issues efficiently and effectively to minimize disruption to customer operations. Escalate advanced or unresolved technical issues to Systems Administrators or Systems Engineers following established escalation procedures. Document all technical work comprehensively to facilitate accurate client billing and ongoing support. Collaboration, Communication, and Customer Service Demonstrate excellent customer service skills with a focus on professionalism, responsiveness, and problem-solving. Communicate clearly with clients regarding ticket status, troubleshooting steps, next steps, and resolution details. Collaborate with Systems Administrators, Systems Engineers, and other technical team members to resolve client issues. Participate in team meetings, training sessions, documentation efforts, and knowledge-sharing activities. Follow up with clients and internal team members as needed to support timely issue resolution and a positive client experience. Technical Support & Documentation Provide frontline technical support for end-user devices, Microsoft 365 applications, and common infrastructure issues, escalating complex issues as appropriate. Support the configuration, maintenance, and troubleshooting of workstations, peripheral devices, and basic server, networking, and cloud technologies under established procedures. Assist with Microsoft 365 user administration, including account provisioning, password resets, licensing, and basic support for Exchange Online, Teams, and SharePoint. Troubleshoot common connectivity issues involving workstations, printers, wireless networks, VPN access, and basic network services, escalating advanced networking issues when necessary. Support backup verification, endpoint management, documentation, ticketing, remote management, and monitoring tools as part of daily operational activities. Collaborate with Systems Administrators, Systems Engineers, and other team members to resolve client issues while continuing to develop technical knowledge and skills. Follow established IT service management processes and Standard Operating Procedures (SOPs) to deliver consistent, high-quality support. Maintain accurate documentation of work performed and contribute to knowledge base articles and SOP updates as appropriate. Professional Development & Technical Growth Demonstrate curiosity and commitment to continuous learning across Microsoft technologies, networking fundamentals, service delivery, and client support. Participate in training, coaching, and certification pathways that support continued growth into advanced technical responsibilities. Leverage approved AI solutions responsibly to accelerate learning, improve troubleshooting efficiency, enhance documentation quality, and support better customer outcomes. Develop foundational technical knowledge that prepares the employee for potential progression into Systems Administrator responsibilities. Job Qualifications Education/Certification Requirements: Associate degree in Computer Science, Information Technology, or related field preferred (or equivalent experience). Valid driver's license. Entry-level certifications are preferred. Examples including but not limited to: CompTIA A+ Google IT Support Professional Certificate Microsoft Fundamentals certifications CompTIA Network+ Experience Requirements: 1-3 years of experience in technical support, help desk, desktop support, call center technical support, field support, or related IT support roles. Experience supporting Microsoft operating systems, Microsoft 365 applications, basic networking issues, and end-user technology. Experience delivering customer-facing support with a strong focus on professionalism, communication, and service quality. Experience working within a Managed Services Provider (MSP), consulting, or multi-client IT support environment is preferred. Technical Knowledge & Experience (including, but not limited to): Administration and troubleshooting of Windows workstation environments. Basic Microsoft 365 administration and end-user support. Basic Active Directory and Microsoft Entra ID user administration. Basic understanding of Azure cloud concepts and Microsoft cloud services. Basic networking fundamentals including TCP/IP, DNS, DHCP, VPNs, wireless connectivity, and general connectivity troubleshooting. Experience using ticketing systems and remote support tools, including ConnectWise or similar platforms. Familiarity with endpoint management and remote monitoring tools, including Intune, ConnectWise Automate, or similar technologies. Familiarity with firewall, wireless, and network support tools, including WatchGuard, Meraki, or similar technologies. Working knowledge of hardware, printers, mobile devices, peripherals, and workstation deployment. Working knowledge of cybersecurity best practices, user security awareness, data privacy, and appropriate handling of client information. Working knowledge of AI-assisted productivity and support tools, including Microsoft Copilot, Chat GPT Enterprise, and other approved generative AI solutions. Ability to leverage AI tools responsibly to improve troubleshooting efficiency, documentation quality, and customer support outcomes. At Integris , we value our team members and offer comprehensive benefits , including: Medical, Dental, and Vision Insurance 401K Retirement Plan Minimum 4 Weeks of Paid Time Off (PTO) Birthday PTO Paid Holidays Paid Time Off for Volunteering Short-Term and Long-Term Disability Insurance Life Insurance Supplemental Insurance Employee Assistance Program Join us in transforming IT services for small and midsize businesses across regulated industries. Be part of a team that's scaling nationally, investing in vertical expertise, and building for better . Integris is an equal opportunity employer, committed to diversity and inclusion. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, gender, pregnancy, sexual orientation, gender identity, age, familial status, disability, genetic information, or any other protected class under applicable federal, state, and local laws.
Job Description Job Description Beghou brings over three decades of experience helping life sciences companies optimize their commercialization through strategic insight, advanced analytics, and technology. From developing go-to-market strategies and building foundational data analytics infrastructures to leveraging artificial intelligence to improve customer insights and engagement, Beghou helps life sciences companies maximize performance across their portfolios. Beghou also deploys proprietary and third-party technology solutions to help companies forecast performance, design territories, manage customer data, organize, and report on medical and commercial data, and more. Headquartered in Evanston, Illinois, we have 10 global offices. Our mission is to bring together analytical minds and innovative technology to help life sciences companies navigate the complexity of health care and improve patient outcomes. Beghou brings over three decades of experience helping life sciences companies optimize their commercialization through strategic insight, advanced analytics, and technology. From developing go-to-market strategies and building foundational data analytics infrastructures to leveraging artificial intelligence to improve customer insights and engagement, Beghou helps life sciences companies maximize performance across their portfolios. Beghou also deploys proprietary and third-party technology solutions to help companies forecast performance, design territories, manage customer data, organize, and report on medical and commercial data, and more. Headquartered in Evanston, Illinois, we have 10 global offices. Our mission is to bring together analytical minds and innovative technology to help life sciences companies navigate the complexity of health care and improve patient outcomes. This role supports the conceptualization, execution, and integration of data-driven projects for commercial efforts in the pharmaceutical and life sciences industries. You will drive innovation and creative solutions within various work streams and provide thought leadership. You will lead project teams and play a pivotal role in guiding internal stakeholders toward project success. We'll Trust you to: Work with cross-functional project teams in the design and development of high-quality deliverables for clients. Collaborate with leadership to define project scope, approach, and development strategies. Contribute to Beghou's internal data warehouse build. Demonstrate knowledge of data platform components (warehouse, monitoring, etc.) and data engineering (ETL design, schema design, etc.) and CI/CD best practices. Analyze data, synthesize findings, and develop actionable insights, communicating results to both internal and external teams. Work on projects, handling client communications, meeting facilitation, and timelines, serving as a primary point of contact with minimal oversight. Develop and optimize data processes, utilizing coding where necessary to facilitate efficient data handling and reporting. Coordinate with global and diverse teams to ensure seamless project execution. Contribute to internal firm initiatives to drive organizational growth. You'll Need to Have: Bachelor's or advanced degree with at least 2+ years of relevant professional experience, preferably in the pharmaceutical or life sciences industry. Experience with one or more additional UI-based ETL tools (e.g., Azure Data Factory, Alteryx, Informatica, SnapLogic, Boomi, Prophecy), preferred. Experience with relational database technologies, such as Databricks, Snowflake, PostgreSQL, Oracle, and MySQL. Strong proficiency in Microsoft Office tools (Word, PowerPoint), with advanced expertise in Excel. Knowledge of coding languages (e.g., Python, PySpark, SAS, VBA, etc.) and experience with data visualization software (e.g., Tableau, Power BI) is highly preferred. Experience with Claude Code or ChatGPT Codex is preferred. Excellent analytical and quantitative skills, with a proven ability to solve complex problems. Exceptional communication skills, both written and verbal. Demonstrated organizational, time management, and project management skills, with the ability to lead teams and manage multiple projects simultaneously. Strong ability to collaborate, adapt quickly, and work effectively in a fast-paced environment. Familiarity with industry best practices in data analytics within the pharmaceutical sector. The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including, but not limited to, skill sets; experience and training; licensure and certifications; and other business and organizational needs. At Beghou, it is not typical for an individual to be hired at or near the top of the range for their role, and compensation decisions depend on the facts and circumstances of each case. A reasonable estimate of the current range is $90,000 to $110,000. We are currently unable to consider candidates who require, or will require in the future, sponsorship for work authorization . Applicants must be authorized to work in the US on a permanent and ongoing basis without the need for current or future employer-sponsored work authorization. At Beghou, you'll join a highly collaborative, values-driven team where technical excellence, analytical rigor, and personal growth converge. Whether you're passionate about AI innovation, building commercialization strategies, or shaping the next generation of data-first solutions in life sciences, this is a place to make an impact! Compensation and Benefits: Beghou Consulting offers a competitive compensation package and a full complement of benefits, including the following: Health & Wellness We provide comprehensive medical, dental, and vision insurance, as well as life & AD&D coverage, disability insurance, and a Lifestyle Wellness Account to help you feel your best. Work-Life Balance Our generous PTO, company holidays, and paid parental & bonding leave help you recharge and be present where it matters most. With a flexible hybrid work policy, you'll enjoy the balance of in-person collaboration and remote flexibility. Financial Wellness We invest in your future with a 401(k) and employer match, tax-free commuter, health, and childcare accounts, and performance bonuses. You'll also receive a monthly phone stipend and access to an employee discount program. Growth & Giving Back Through mentorship, training, and tuition reimbursement, we help you grow your career while supporting causes you care about with a charitable donation match. Culture & Values Collaboration, innovation, and inclusion define us. Here, you'll join a community that values your ideas and celebrates your impact. Equal Opportunity Employer We are committed to fostering an inclusive company culture that respects and promotes diverse backgrounds and points of view. We seek candidates who will add to our culture and support the company's vision of a diverse, equitable, inclusive, and collaborative workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, disability, age, or veteran status. We are proud to be an equal-opportunity employer. If you are excited about this role but do not meet 100% of the qualifications listed, we still encourage you to apply. You may be just the right candidate for this or other roles. Must be legally authorized to work in the United States. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
09/22/2026
Full time
Job Description Job Description Beghou brings over three decades of experience helping life sciences companies optimize their commercialization through strategic insight, advanced analytics, and technology. From developing go-to-market strategies and building foundational data analytics infrastructures to leveraging artificial intelligence to improve customer insights and engagement, Beghou helps life sciences companies maximize performance across their portfolios. Beghou also deploys proprietary and third-party technology solutions to help companies forecast performance, design territories, manage customer data, organize, and report on medical and commercial data, and more. Headquartered in Evanston, Illinois, we have 10 global offices. Our mission is to bring together analytical minds and innovative technology to help life sciences companies navigate the complexity of health care and improve patient outcomes. Beghou brings over three decades of experience helping life sciences companies optimize their commercialization through strategic insight, advanced analytics, and technology. From developing go-to-market strategies and building foundational data analytics infrastructures to leveraging artificial intelligence to improve customer insights and engagement, Beghou helps life sciences companies maximize performance across their portfolios. Beghou also deploys proprietary and third-party technology solutions to help companies forecast performance, design territories, manage customer data, organize, and report on medical and commercial data, and more. Headquartered in Evanston, Illinois, we have 10 global offices. Our mission is to bring together analytical minds and innovative technology to help life sciences companies navigate the complexity of health care and improve patient outcomes. This role supports the conceptualization, execution, and integration of data-driven projects for commercial efforts in the pharmaceutical and life sciences industries. You will drive innovation and creative solutions within various work streams and provide thought leadership. You will lead project teams and play a pivotal role in guiding internal stakeholders toward project success. We'll Trust you to: Work with cross-functional project teams in the design and development of high-quality deliverables for clients. Collaborate with leadership to define project scope, approach, and development strategies. Contribute to Beghou's internal data warehouse build. Demonstrate knowledge of data platform components (warehouse, monitoring, etc.) and data engineering (ETL design, schema design, etc.) and CI/CD best practices. Analyze data, synthesize findings, and develop actionable insights, communicating results to both internal and external teams. Work on projects, handling client communications, meeting facilitation, and timelines, serving as a primary point of contact with minimal oversight. Develop and optimize data processes, utilizing coding where necessary to facilitate efficient data handling and reporting. Coordinate with global and diverse teams to ensure seamless project execution. Contribute to internal firm initiatives to drive organizational growth. You'll Need to Have: Bachelor's or advanced degree with at least 2+ years of relevant professional experience, preferably in the pharmaceutical or life sciences industry. Experience with one or more additional UI-based ETL tools (e.g., Azure Data Factory, Alteryx, Informatica, SnapLogic, Boomi, Prophecy), preferred. Experience with relational database technologies, such as Databricks, Snowflake, PostgreSQL, Oracle, and MySQL. Strong proficiency in Microsoft Office tools (Word, PowerPoint), with advanced expertise in Excel. Knowledge of coding languages (e.g., Python, PySpark, SAS, VBA, etc.) and experience with data visualization software (e.g., Tableau, Power BI) is highly preferred. Experience with Claude Code or ChatGPT Codex is preferred. Excellent analytical and quantitative skills, with a proven ability to solve complex problems. Exceptional communication skills, both written and verbal. Demonstrated organizational, time management, and project management skills, with the ability to lead teams and manage multiple projects simultaneously. Strong ability to collaborate, adapt quickly, and work effectively in a fast-paced environment. Familiarity with industry best practices in data analytics within the pharmaceutical sector. The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including, but not limited to, skill sets; experience and training; licensure and certifications; and other business and organizational needs. At Beghou, it is not typical for an individual to be hired at or near the top of the range for their role, and compensation decisions depend on the facts and circumstances of each case. A reasonable estimate of the current range is $90,000 to $110,000. We are currently unable to consider candidates who require, or will require in the future, sponsorship for work authorization . Applicants must be authorized to work in the US on a permanent and ongoing basis without the need for current or future employer-sponsored work authorization. At Beghou, you'll join a highly collaborative, values-driven team where technical excellence, analytical rigor, and personal growth converge. Whether you're passionate about AI innovation, building commercialization strategies, or shaping the next generation of data-first solutions in life sciences, this is a place to make an impact! Compensation and Benefits: Beghou Consulting offers a competitive compensation package and a full complement of benefits, including the following: Health & Wellness We provide comprehensive medical, dental, and vision insurance, as well as life & AD&D coverage, disability insurance, and a Lifestyle Wellness Account to help you feel your best. Work-Life Balance Our generous PTO, company holidays, and paid parental & bonding leave help you recharge and be present where it matters most. With a flexible hybrid work policy, you'll enjoy the balance of in-person collaboration and remote flexibility. Financial Wellness We invest in your future with a 401(k) and employer match, tax-free commuter, health, and childcare accounts, and performance bonuses. You'll also receive a monthly phone stipend and access to an employee discount program. Growth & Giving Back Through mentorship, training, and tuition reimbursement, we help you grow your career while supporting causes you care about with a charitable donation match. Culture & Values Collaboration, innovation, and inclusion define us. Here, you'll join a community that values your ideas and celebrates your impact. Equal Opportunity Employer We are committed to fostering an inclusive company culture that respects and promotes diverse backgrounds and points of view. We seek candidates who will add to our culture and support the company's vision of a diverse, equitable, inclusive, and collaborative workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, disability, age, or veteran status. We are proud to be an equal-opportunity employer. If you are excited about this role but do not meet 100% of the qualifications listed, we still encourage you to apply. You may be just the right candidate for this or other roles. Must be legally authorized to work in the United States. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Job Description Job Description Design Expert Job Type: Contractor Location: Remote Schedule: Flexible / Self-Directed Job Overview We are seeking senior Product Design and AI-Assisted Development Experts to create evaluation tasks for AI systems working across rapid prototyping, product design, and human-AI collaboration. Experts may contribute to either or both tracks: Vibecoding: AI-assisted software development, natural-language-to-code workflows, and rapid prototyping. Design: Product design, UX/UI, design systems, component libraries, research, and usability. No formal credential is required; demonstrated expertise and shipped work are highly valued. Key Responsibilities Create realistic scenarios covering rapid prototyping, iteration, design systems, and product-design-engineering collaboration . Develop tasks involving AI coding tools such as Cursor, Claude Code, v0, and Replit . Create Design-track tasks using Figma, Framer, prototyping tools, and design-system platforms . Apply prompt-driven development, human-centered design, heuristic evaluation, and rapid prototyping methodologies. Produce reference prototypes, code artifacts, design specifications, and usability evaluation reports. Develop detailed rubrics that distinguish senior-level product judgment from generic or template-driven work. Collaborate on task refinement and evaluation standards. Required Skills Product Design UX/UI Design Rapid Prototyping Design Systems Vibecoding / AI-Assisted Development Human-Centered Design User Research & Usability Testing Figma / Prototyping Tools Design Critique Product Judgment AI-Assisted Coding Evaluation & Rubric Development Preferred Qualifications 5+ years of experience as a product designer, design lead, or AI-native engineer/vibecoder. Experience at a product- or design-focused company, startup, or notable independent product. Direct ownership of shipped product designs, design systems, or AI-assisted development workflows . Strong fluency with relevant design or AI development tools. Portfolio of shipped work strongly preferred. Experience creating rubrics, training materials, design critiques, or evaluation frameworks is a plus. Contract & Payment Independent contractor engagement. Fully remote with a flexible schedule. Project duration may vary based on business needs and performance. Weekly payments via Stripe or Wise based on services rendered. Screening Questions How many years of product design, UX/UI, or AI-assisted development experience do you have? Which track do you specialize in: Vibecoding, Design, or both ? What products, design systems, or AI-assisted workflows have you shipped? Which tools do you use regularly (e.g., Figma, Framer, Cursor, Claude Code, v0, Replit)? Do you have a portfolio of shipped work? What experience do you have creating design critiques, rubrics, or evaluation frameworks? How soon can you start?
09/22/2026
Full time
Job Description Job Description Design Expert Job Type: Contractor Location: Remote Schedule: Flexible / Self-Directed Job Overview We are seeking senior Product Design and AI-Assisted Development Experts to create evaluation tasks for AI systems working across rapid prototyping, product design, and human-AI collaboration. Experts may contribute to either or both tracks: Vibecoding: AI-assisted software development, natural-language-to-code workflows, and rapid prototyping. Design: Product design, UX/UI, design systems, component libraries, research, and usability. No formal credential is required; demonstrated expertise and shipped work are highly valued. Key Responsibilities Create realistic scenarios covering rapid prototyping, iteration, design systems, and product-design-engineering collaboration . Develop tasks involving AI coding tools such as Cursor, Claude Code, v0, and Replit . Create Design-track tasks using Figma, Framer, prototyping tools, and design-system platforms . Apply prompt-driven development, human-centered design, heuristic evaluation, and rapid prototyping methodologies. Produce reference prototypes, code artifacts, design specifications, and usability evaluation reports. Develop detailed rubrics that distinguish senior-level product judgment from generic or template-driven work. Collaborate on task refinement and evaluation standards. Required Skills Product Design UX/UI Design Rapid Prototyping Design Systems Vibecoding / AI-Assisted Development Human-Centered Design User Research & Usability Testing Figma / Prototyping Tools Design Critique Product Judgment AI-Assisted Coding Evaluation & Rubric Development Preferred Qualifications 5+ years of experience as a product designer, design lead, or AI-native engineer/vibecoder. Experience at a product- or design-focused company, startup, or notable independent product. Direct ownership of shipped product designs, design systems, or AI-assisted development workflows . Strong fluency with relevant design or AI development tools. Portfolio of shipped work strongly preferred. Experience creating rubrics, training materials, design critiques, or evaluation frameworks is a plus. Contract & Payment Independent contractor engagement. Fully remote with a flexible schedule. Project duration may vary based on business needs and performance. Weekly payments via Stripe or Wise based on services rendered. Screening Questions How many years of product design, UX/UI, or AI-assisted development experience do you have? Which track do you specialize in: Vibecoding, Design, or both ? What products, design systems, or AI-assisted workflows have you shipped? Which tools do you use regularly (e.g., Figma, Framer, Cursor, Claude Code, v0, Replit)? Do you have a portfolio of shipped work? What experience do you have creating design critiques, rubrics, or evaluation frameworks? How soon can you start?
National Field Representatives, LLC
Claremont, New Hampshire
Description: Recognized as a certified "Great Place to Work", National Field Representatives (NFR) is a family owned and operated company located in Claremont, NH. Proud of its performance, reputation and most of all, its employees who make it all possible, NFR offers a supportive work environment with great benefits. NFR maintains properties for mortgage companies by working closely with our nationwide network of contractors and inspectors. Our Information Technology Department has an opening for a Manager of Programming and Data Services. This position will manage the programming and data services team to include directing the design, development, testing, deployment and maintenance of enterprise software applications. This position supports data integration, reporting, and analytics; establishes development standards and quality processes; collaborates with stakeholders; and performs hands-on coding. Requirements: The ideal candidate will have a Bachelor's Degree in CS or MIS, 5+ years of leadership experience managing programming, development, and data teams, with 10+ years of software development/engineering experience, including 5+ years in a team-based environment. Technical skills needed include expertise in SQL and relational data modeling; Microsoft .NET technologies (C#, ASP.NET Core, REST APIs); Azure cloud solutions; GitHub Enterprise and CI/CD automation; enterprise application and API integrations; AI-enabled applications, agents, copilots, and automation solutions, along with a strong foundation in software architecture, object-oriented design, Agile development, security best practices, debugging, and modern software engineering methodologies. Strong customer service, communication, leadership, analytical, and problem-solving skills, with the ability to manage multiple priorities, collaborate with diverse stakeholders, and thrive in a fast-paced environment are necessary. Preferred Qualifications: Experience in enterprise software development; Microsoft technologies including SQL Server, Power Platform, Fabric, and Power BI; Azure cloud services and AI technologies such as Azure AI, OpenAI, Copilot Studio, Semantic Kernel, and RAG architectures. Additional experience with microservices, containerization, Infrastructure as Code (IaC), cloud migration, legacy system modernization, Delphi development, and web/mobile applications is preferred. If you are seeking a new opportunity and have the desire to be a part of an exceptional team with a true spirit of camaraderie, you are encouraged to apply. These positions are remote with an option to work hybrid or in office from our NH office. Remote locations are available in the following states: AL, DE, FL, GA, IA, KS, MS, NC, NH, SC, TX and VT NFR offers a great training program and benefits package including: health, dental, vision, company paid life insurance, generous PTO package, 401(k) employer matching contribution, and third-party products such as disability and additional life insurance. NFR does not sponsor work visas. PI7f00aaf8e14d-3989
09/22/2026
Full time
Description: Recognized as a certified "Great Place to Work", National Field Representatives (NFR) is a family owned and operated company located in Claremont, NH. Proud of its performance, reputation and most of all, its employees who make it all possible, NFR offers a supportive work environment with great benefits. NFR maintains properties for mortgage companies by working closely with our nationwide network of contractors and inspectors. Our Information Technology Department has an opening for a Manager of Programming and Data Services. This position will manage the programming and data services team to include directing the design, development, testing, deployment and maintenance of enterprise software applications. This position supports data integration, reporting, and analytics; establishes development standards and quality processes; collaborates with stakeholders; and performs hands-on coding. Requirements: The ideal candidate will have a Bachelor's Degree in CS or MIS, 5+ years of leadership experience managing programming, development, and data teams, with 10+ years of software development/engineering experience, including 5+ years in a team-based environment. Technical skills needed include expertise in SQL and relational data modeling; Microsoft .NET technologies (C#, ASP.NET Core, REST APIs); Azure cloud solutions; GitHub Enterprise and CI/CD automation; enterprise application and API integrations; AI-enabled applications, agents, copilots, and automation solutions, along with a strong foundation in software architecture, object-oriented design, Agile development, security best practices, debugging, and modern software engineering methodologies. Strong customer service, communication, leadership, analytical, and problem-solving skills, with the ability to manage multiple priorities, collaborate with diverse stakeholders, and thrive in a fast-paced environment are necessary. Preferred Qualifications: Experience in enterprise software development; Microsoft technologies including SQL Server, Power Platform, Fabric, and Power BI; Azure cloud services and AI technologies such as Azure AI, OpenAI, Copilot Studio, Semantic Kernel, and RAG architectures. Additional experience with microservices, containerization, Infrastructure as Code (IaC), cloud migration, legacy system modernization, Delphi development, and web/mobile applications is preferred. If you are seeking a new opportunity and have the desire to be a part of an exceptional team with a true spirit of camaraderie, you are encouraged to apply. These positions are remote with an option to work hybrid or in office from our NH office. Remote locations are available in the following states: AL, DE, FL, GA, IA, KS, MS, NC, NH, SC, TX and VT NFR offers a great training program and benefits package including: health, dental, vision, company paid life insurance, generous PTO package, 401(k) employer matching contribution, and third-party products such as disability and additional life insurance. NFR does not sponsor work visas. PI7f00aaf8e14d-3989
National Field Representatives, Inc.
Claremont, New Hampshire
Description: Recognized as a certified "Great Place to Work", National Field Representatives (NFR) is a family owned and operated company located in Claremont, NH. Proud of its performance, reputation and most of all, its employees who make it all possible, NFR offers a supportive work environment with great benefits. NFR maintains properties for mortgage companies by working closely with our nationwide network of contractors and inspectors. Our Information Technology department is seeking an Enterprise Applications Developer to help build and maintain the technology solutions that drive our business and support our commitment to outstanding customer service. Responsibilities Under the supervision of the Manager, the Enterprise Applications Developer designs, develops, and supports enterprise applications using .NET, Azure, and SQL Server technologies. This role delivers secure cloud, AI, and automation solutions, collaborates with stakeholders to build scalable and reliable systems, and supports modernization, optimization, and continuous improvement initiatives while following security best practices. Requirements: 3+ years of experience designing, developing, deploying, and supporting enterprise software applications. Demonstrated expertise in developing applications using Microsoft .NET technologies (C#, ASP.NET Core, REST APIs), SQL Server, and modern software development tools and frameworks. Experience developing, integrating, and supporting enterprise applications, cloud solutions in Microsoft Azure, and AI-enabled applications using modern AI services and frameworks. Proficiency in source control, CI/CD, and DevOps practices using GitHub Enterprise, GitHub Actions, and/or Azure DevOps. Experience integrating business applications, third-party tools, and automated workflows. Experience developing AI-powered applications, automation solutions, and intelligent tools that improve business processes and user productivity. Understanding of software architecture, object-oriented design, Agile methodologies, security best practices, and modern software engineering principles. Proven ability to troubleshoot, support, and optimize mission-critical business applications and databases. Preferred Experience Microsoft Power Platform (Power Apps, Power Automate, Dataverse). Microsoft Fabric and Power BI. Azure AI Services, Azure OpenAI, Copilot Studio, Semantic Kernel, and Retrieval-Augmented Generation (RAG) architectures. Microservices, containerization, and Infrastructure as Code (IaC). Legacy application modernization and cloud migration projects. These positions are remote with an option to work hybrid or in office from our NH office. Remote locations are available in the following states: AL, DE, FL, GA, IA, KS, MS, NC, NH, SC, TX and VT. NFR offers a great training program and benefits package including: health, dental, vision, company paid life insurance, generous PTO package, 401(k) employer matching contribution, and third-party products such as disability and additional life insurance. NFR does not sponsor work visas. PI92738a37c5-
09/22/2026
Full time
Description: Recognized as a certified "Great Place to Work", National Field Representatives (NFR) is a family owned and operated company located in Claremont, NH. Proud of its performance, reputation and most of all, its employees who make it all possible, NFR offers a supportive work environment with great benefits. NFR maintains properties for mortgage companies by working closely with our nationwide network of contractors and inspectors. Our Information Technology department is seeking an Enterprise Applications Developer to help build and maintain the technology solutions that drive our business and support our commitment to outstanding customer service. Responsibilities Under the supervision of the Manager, the Enterprise Applications Developer designs, develops, and supports enterprise applications using .NET, Azure, and SQL Server technologies. This role delivers secure cloud, AI, and automation solutions, collaborates with stakeholders to build scalable and reliable systems, and supports modernization, optimization, and continuous improvement initiatives while following security best practices. Requirements: 3+ years of experience designing, developing, deploying, and supporting enterprise software applications. Demonstrated expertise in developing applications using Microsoft .NET technologies (C#, ASP.NET Core, REST APIs), SQL Server, and modern software development tools and frameworks. Experience developing, integrating, and supporting enterprise applications, cloud solutions in Microsoft Azure, and AI-enabled applications using modern AI services and frameworks. Proficiency in source control, CI/CD, and DevOps practices using GitHub Enterprise, GitHub Actions, and/or Azure DevOps. Experience integrating business applications, third-party tools, and automated workflows. Experience developing AI-powered applications, automation solutions, and intelligent tools that improve business processes and user productivity. Understanding of software architecture, object-oriented design, Agile methodologies, security best practices, and modern software engineering principles. Proven ability to troubleshoot, support, and optimize mission-critical business applications and databases. Preferred Experience Microsoft Power Platform (Power Apps, Power Automate, Dataverse). Microsoft Fabric and Power BI. Azure AI Services, Azure OpenAI, Copilot Studio, Semantic Kernel, and Retrieval-Augmented Generation (RAG) architectures. Microservices, containerization, and Infrastructure as Code (IaC). Legacy application modernization and cloud migration projects. These positions are remote with an option to work hybrid or in office from our NH office. Remote locations are available in the following states: AL, DE, FL, GA, IA, KS, MS, NC, NH, SC, TX and VT. NFR offers a great training program and benefits package including: health, dental, vision, company paid life insurance, generous PTO package, 401(k) employer matching contribution, and third-party products such as disability and additional life insurance. NFR does not sponsor work visas. PI92738a37c5-
This position requires that the candidate selected must currently possess and maintain an active TS/SCI security clearance. What We Need AWS Professional Services is looking for a Delivery Consultant with hands-on cloud architecture and implementation experience, strong AWS knowledge, and the ability to work directly with customers to turn complex requirements into production-ready solutions. You'll lead implementations, advise on migration strategies, optimize performance, and manage risk across the project lifecycle. What We Do We design, build, and deploy secure, scalable AWS solutions for Department of Defense/ Department of War customers. Our team dives deep into technical challenges across cloud, AI, and emerging technologies to deliver mission outcomes that matter. Why Join Us Work at the forefront of cloud, AI, and defense technology on projects that solve our customers' hardest problems and push the boundaries of what's possible in secure, mission-critical environments. You'll be part of a global team of experts helping customers realize real business and mission outcomes through the AWS Cloud. Key job responsibilities As an experienced technology professional, you will be responsible for: - Leading teams to design and implement complex, scalable, and secure AWS solutions tailored to customer needs - Providing technical guidance and troubleshooting support throughout project delivery - Collaborating with stakeholders to gather requirements and propose effective migration strategies - Acting as a trusted advisor to customers on industry trends and emerging technologies - Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts About the team About AWS AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. It is expected to work from the AWS Office Location listed (or customer sites) at least 1+ days in a week. This is not a remote position. You are expected to be in the office or with customers as needed. BASIC QUALIFICATIONS - 7+ years of technical specialist, design and architecture experience - 7+ years of consulting, design and implementation of serverless distributed solutions experience - 5+ years of software development with object oriented language experience - 3+ years of cloud based solution (AWS or equivalent), system, network and operating system experience - Current, active TS/SCI US Government Security Clearance PREFERRED QUALIFICATIONS - degree in advanced technology, or AWS Professional level certification - Knowledge of AWS services including compute, storage, networking, security, databases, machine learning, and serverless technologies - Experience in performance optimization and cost management for cloud environments - Experience communicating technical concepts to diverse audiences in pre-sales environments - experience with security compliance & risk management frameworks (NIST 800-53, CMMC, etc ) Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, MD, Jessup - 153 800.00 USD annually
09/22/2026
Full time
This position requires that the candidate selected must currently possess and maintain an active TS/SCI security clearance. What We Need AWS Professional Services is looking for a Delivery Consultant with hands-on cloud architecture and implementation experience, strong AWS knowledge, and the ability to work directly with customers to turn complex requirements into production-ready solutions. You'll lead implementations, advise on migration strategies, optimize performance, and manage risk across the project lifecycle. What We Do We design, build, and deploy secure, scalable AWS solutions for Department of Defense/ Department of War customers. Our team dives deep into technical challenges across cloud, AI, and emerging technologies to deliver mission outcomes that matter. Why Join Us Work at the forefront of cloud, AI, and defense technology on projects that solve our customers' hardest problems and push the boundaries of what's possible in secure, mission-critical environments. You'll be part of a global team of experts helping customers realize real business and mission outcomes through the AWS Cloud. Key job responsibilities As an experienced technology professional, you will be responsible for: - Leading teams to design and implement complex, scalable, and secure AWS solutions tailored to customer needs - Providing technical guidance and troubleshooting support throughout project delivery - Collaborating with stakeholders to gather requirements and propose effective migration strategies - Acting as a trusted advisor to customers on industry trends and emerging technologies - Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts About the team About AWS AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. It is expected to work from the AWS Office Location listed (or customer sites) at least 1+ days in a week. This is not a remote position. You are expected to be in the office or with customers as needed. BASIC QUALIFICATIONS - 7+ years of technical specialist, design and architecture experience - 7+ years of consulting, design and implementation of serverless distributed solutions experience - 5+ years of software development with object oriented language experience - 3+ years of cloud based solution (AWS or equivalent), system, network and operating system experience - Current, active TS/SCI US Government Security Clearance PREFERRED QUALIFICATIONS - degree in advanced technology, or AWS Professional level certification - Knowledge of AWS services including compute, storage, networking, security, databases, machine learning, and serverless technologies - Experience in performance optimization and cost management for cloud environments - Experience communicating technical concepts to diverse audiences in pre-sales environments - experience with security compliance & risk management frameworks (NIST 800-53, CMMC, etc ) Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, MD, Jessup - 153 800.00 USD annually
This position requires that the candidate selected must currently possess and maintain an active TS/SCI security clearance. What We Need AWS Professional Services is looking for a Delivery Consultant with hands-on cloud architecture and implementation experience, strong AWS knowledge, and the ability to work directly with customers to turn complex requirements into production-ready solutions. You'll lead implementations, advise on migration strategies, optimize performance, and manage risk across the project lifecycle. What We Do We design, build, and deploy secure, scalable AWS solutions for Department of Defense/ Department of War customers. Our team dives deep into technical challenges across cloud, AI, and emerging technologies to deliver mission outcomes that matter. Why Join Us Work at the forefront of cloud, AI, and defense technology on projects that solve our customers' hardest problems and push the boundaries of what's possible in secure, mission-critical environments. You'll be part of a global team of experts helping customers realize real business and mission outcomes through the AWS Cloud. Key job responsibilities As an experienced technology professional, you will be responsible for: - Leading teams to design and implement complex, scalable, and secure AWS solutions tailored to customer needs - Providing technical guidance and troubleshooting support throughout project delivery - Collaborating with stakeholders to gather requirements and propose effective migration strategies - Acting as a trusted advisor to customers on industry trends and emerging technologies - Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts About the team About AWS AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. It is expected to work from the AWS Office Location listed (or customer sites) at least 1+ days in a week. This is not a remote position. You are expected to be in the office or with customers as needed. BASIC QUALIFICATIONS - 7+ years of technical specialist, design and architecture experience - 7+ years of consulting, design and implementation of serverless distributed solutions experience - 5+ years of software development with object oriented language experience - 5+ years of cloud architecture and solution implementation experience - Current, active US Government Security Clearance of Top Secret or above PREFERRED QUALIFICATIONS - degree in advanced technology, or AWS Professional level certification - Knowledge of AWS services including compute, storage, networking, security, databases, machine learning, and serverless technologies - Experience in performance optimization and cost management for cloud environments - Experience communicating technical concepts to diverse audiences in pre-sales environments - experience with security compliance & risk management frameworks (NIST 800-53, CMMC, etc ) Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
09/22/2026
Full time
This position requires that the candidate selected must currently possess and maintain an active TS/SCI security clearance. What We Need AWS Professional Services is looking for a Delivery Consultant with hands-on cloud architecture and implementation experience, strong AWS knowledge, and the ability to work directly with customers to turn complex requirements into production-ready solutions. You'll lead implementations, advise on migration strategies, optimize performance, and manage risk across the project lifecycle. What We Do We design, build, and deploy secure, scalable AWS solutions for Department of Defense/ Department of War customers. Our team dives deep into technical challenges across cloud, AI, and emerging technologies to deliver mission outcomes that matter. Why Join Us Work at the forefront of cloud, AI, and defense technology on projects that solve our customers' hardest problems and push the boundaries of what's possible in secure, mission-critical environments. You'll be part of a global team of experts helping customers realize real business and mission outcomes through the AWS Cloud. Key job responsibilities As an experienced technology professional, you will be responsible for: - Leading teams to design and implement complex, scalable, and secure AWS solutions tailored to customer needs - Providing technical guidance and troubleshooting support throughout project delivery - Collaborating with stakeholders to gather requirements and propose effective migration strategies - Acting as a trusted advisor to customers on industry trends and emerging technologies - Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts About the team About AWS AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. It is expected to work from the AWS Office Location listed (or customer sites) at least 1+ days in a week. This is not a remote position. You are expected to be in the office or with customers as needed. BASIC QUALIFICATIONS - 7+ years of technical specialist, design and architecture experience - 7+ years of consulting, design and implementation of serverless distributed solutions experience - 5+ years of software development with object oriented language experience - 5+ years of cloud architecture and solution implementation experience - Current, active US Government Security Clearance of Top Secret or above PREFERRED QUALIFICATIONS - degree in advanced technology, or AWS Professional level certification - Knowledge of AWS services including compute, storage, networking, security, databases, machine learning, and serverless technologies - Experience in performance optimization and cost management for cloud environments - Experience communicating technical concepts to diverse audiences in pre-sales environments - experience with security compliance & risk management frameworks (NIST 800-53, CMMC, etc ) Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Job Description Job Description H2O.ai is on a mission to democratize AI for Good. As the world's leading agentic AI company, H2O.ai converges Generative and Predictive AI to help enterprises and public sector agencies develop purpose-built Agents, SLMs, and solutions on their private data. With a focus on secure, compliant, and infrastructure-flexible Sovereign AI deployments, H2O.ai delivers solutions that align with the highest standards of data privacy and control. Its open-source technology is trusted by over 20,000 organizations worldwide, including more than half of the Fortune 500. H2O.ai powers AI transformation for companies like AT&T, Commonwealth Bank of Australia, Wells Fargo, Bank of America, Workday, Progressive Insurance, and NIH. For more information, visit . About This Opportunity We are looking for a Principal AI Engineer who builds things that matter. You will design and ship end-to-end AI solutions for some of APAC's most complex enterprise problems - spanning agentic AI systems, LLM applications, and production ML pipelines. This is a hands-on engineering role embedded within a customer-facing field team, meaning your work will be seen, used, and evaluated by real enterprises from day one. You will work alongside Kaggle Grandmasters, ML engineers, and domain experts to deliver AI that goes beyond demos - into production, into workflows, and into measurable business outcomes. This position is based in San Francisco, Bay Area. What You Will Do Customer Engagement Leadership Lead end-to-end technical engagement with enterprise customers, acting as the senior point of accountability for delivery quality, stakeholder relationships, and outcomes. Manage multiple concurrent engagement streams simultaneously - coordinating workplans, resourcing, and milestones across cross-functional teams. Serve as the primary technical escalation point for customer issues, proactively identifying risks and driving resolution across engineering, product, and leadership. Build and maintain trusted relationships with customer data science teams, engineering leads, and executive stakeholders - translating business needs into technical direction and back again. Lead pre-sales and proof-of-concept engagements, setting the technical strategy and ensuring the team delivers demonstrations that build genuine enterprise trust. Represent H2O.ai externally at customer workshops, executive briefings, and technical deep-dives as a credible senior voice. Agentic AI & LLM Engineering Design and build agentic AI systems and multi-agent frameworks that automate complex, multi-step enterprise workflows. Develop and deploy LLM-powered applications using RAG, fine-tuning, prompt engineering, function calling, and tool use. Implement guardrails, evaluation frameworks, and responsible AI controls to ensure production-grade reliability and safety. Stay current with the rapidly evolving agentic AI landscape - MCP, LLM orchestration frameworks, reasoning models - and bring the best into customer engagements. End-to-End AI Application Development Own the full development lifecycle across multiple streams: from problem framing and data exploration through model development, API integration, and production deployment. Build scalable backend services and APIs that expose AI capabilities to enterprise applications and workflows. Integrate AI models into customer environments - cloud, on-prem, and hybrid - ensuring performance, stability, and maintainability at scale. Develop ML pipelines and LLMOps infrastructure that support continuous model improvement and monitoring in production. Team Collaboration & Delivery Excellence Coordinate delivery across engineers, program managers, and solution architects - ensuring workstreams are aligned, unblocked, and progressing to plan. Set the technical bar for the engagements you lead, reviewing outputs, shaping architecture decisions, and ensuring engineering quality across the team. Mentor and guide junior ML engineers and solution engineers within engagements, building team capability alongside delivery. Collaborate closely with H2O.ai product and engineering teams to surface customer feedback, shape roadmap input, and resolve platform-level issues. What We Are Looking For Experience & Background 8+ years of hands-on AI/ML engineering experience, including end-to-end model development and production deployment. Demonstrable experience leading technical delivery across complex, multi-stakeholder enterprise engagements - not just executing within them. Demonstrable experience building LLM-powered applications - RAG pipelines, agentic workflows, fine-tuned models, or similar. Strong Python engineering skills; experience with ML frameworks (PyTorch, TensorFlow, scikit-learn) and LLM tooling (LangChain, LlamaIndex, or equivalent). Experience deploying AI services in cloud or enterprise environments (AWS, Azure, GCP, on-prem Kubernetes). Skills & Capabilities Proven ability to manage multiple concurrent workstreams and coordinate cross-functional teams toward shared delivery milestones. Deep understanding of modern GenAI concepts: prompt engineering, RAG, fine-tuning, RLHF, model evaluation, guardrails, and LLMOps. Solid grounding in classical ML - able to select the right tool for the problem, not just default to the latest LLM. Backend development skills: REST APIs, containerisation (Docker/Kubernetes), and CI/CD pipelines for AI applications. Strong executive communication - able to run a board-level briefing one hour and a technical design review the next, credibly. Comfortable with ambiguity and able to set direction for a team when requirements are incomplete or evolving. How to Stand Out From the Crowd Kaggle or competitive ML experience. Familiarity with H2O.ai products, Wave, or H2O Document AI. Experience in financial services, healthcare, or other regulated industry AI deployments. Exposure to tabular foundation models, AutoML, or enterprise ML platforms. Prior experience in a customer-facing or field engineering role. Why H2O.ai? Market leader in total rewards Remote-friendly culture Flexible working environment Be part of a world-class team Career growth The base salary for this role ranges from $175,000 to $200,000. Compensation is determined based on several factors, including skills, experience, job scope, location, and relevant market compensation data. H2O.ai is committed to creating a diverse and inclusive culture. All qualified applicants will receive consideration for employment without regard to their race, ethnicity, religion, gender, sexual orientation, age, disability status or any other legally protected basis. H2O.ai is an innovative AI cloud platform company, leading the mission to democratize AI for everyone. Thousands of organizations from all over the world have used our cutting-edge technology across a variety of industries. We've made it easy for people at all levels to generate breakthrough solutions to complex business problems and advance the discovery of new ideas and revenue streams. We push the boundaries of what is possible with artificial intelligence. H2O.ai employs the world's top Kaggle Grandmasters, the community of best-in-the-world machine learning practitioners and data scientists. A strong AI for Good ethos and responsible AI drive the company's purpose. Please visit to learn more.
09/22/2026
Full time
Job Description Job Description H2O.ai is on a mission to democratize AI for Good. As the world's leading agentic AI company, H2O.ai converges Generative and Predictive AI to help enterprises and public sector agencies develop purpose-built Agents, SLMs, and solutions on their private data. With a focus on secure, compliant, and infrastructure-flexible Sovereign AI deployments, H2O.ai delivers solutions that align with the highest standards of data privacy and control. Its open-source technology is trusted by over 20,000 organizations worldwide, including more than half of the Fortune 500. H2O.ai powers AI transformation for companies like AT&T, Commonwealth Bank of Australia, Wells Fargo, Bank of America, Workday, Progressive Insurance, and NIH. For more information, visit . About This Opportunity We are looking for a Principal AI Engineer who builds things that matter. You will design and ship end-to-end AI solutions for some of APAC's most complex enterprise problems - spanning agentic AI systems, LLM applications, and production ML pipelines. This is a hands-on engineering role embedded within a customer-facing field team, meaning your work will be seen, used, and evaluated by real enterprises from day one. You will work alongside Kaggle Grandmasters, ML engineers, and domain experts to deliver AI that goes beyond demos - into production, into workflows, and into measurable business outcomes. This position is based in San Francisco, Bay Area. What You Will Do Customer Engagement Leadership Lead end-to-end technical engagement with enterprise customers, acting as the senior point of accountability for delivery quality, stakeholder relationships, and outcomes. Manage multiple concurrent engagement streams simultaneously - coordinating workplans, resourcing, and milestones across cross-functional teams. Serve as the primary technical escalation point for customer issues, proactively identifying risks and driving resolution across engineering, product, and leadership. Build and maintain trusted relationships with customer data science teams, engineering leads, and executive stakeholders - translating business needs into technical direction and back again. Lead pre-sales and proof-of-concept engagements, setting the technical strategy and ensuring the team delivers demonstrations that build genuine enterprise trust. Represent H2O.ai externally at customer workshops, executive briefings, and technical deep-dives as a credible senior voice. Agentic AI & LLM Engineering Design and build agentic AI systems and multi-agent frameworks that automate complex, multi-step enterprise workflows. Develop and deploy LLM-powered applications using RAG, fine-tuning, prompt engineering, function calling, and tool use. Implement guardrails, evaluation frameworks, and responsible AI controls to ensure production-grade reliability and safety. Stay current with the rapidly evolving agentic AI landscape - MCP, LLM orchestration frameworks, reasoning models - and bring the best into customer engagements. End-to-End AI Application Development Own the full development lifecycle across multiple streams: from problem framing and data exploration through model development, API integration, and production deployment. Build scalable backend services and APIs that expose AI capabilities to enterprise applications and workflows. Integrate AI models into customer environments - cloud, on-prem, and hybrid - ensuring performance, stability, and maintainability at scale. Develop ML pipelines and LLMOps infrastructure that support continuous model improvement and monitoring in production. Team Collaboration & Delivery Excellence Coordinate delivery across engineers, program managers, and solution architects - ensuring workstreams are aligned, unblocked, and progressing to plan. Set the technical bar for the engagements you lead, reviewing outputs, shaping architecture decisions, and ensuring engineering quality across the team. Mentor and guide junior ML engineers and solution engineers within engagements, building team capability alongside delivery. Collaborate closely with H2O.ai product and engineering teams to surface customer feedback, shape roadmap input, and resolve platform-level issues. What We Are Looking For Experience & Background 8+ years of hands-on AI/ML engineering experience, including end-to-end model development and production deployment. Demonstrable experience leading technical delivery across complex, multi-stakeholder enterprise engagements - not just executing within them. Demonstrable experience building LLM-powered applications - RAG pipelines, agentic workflows, fine-tuned models, or similar. Strong Python engineering skills; experience with ML frameworks (PyTorch, TensorFlow, scikit-learn) and LLM tooling (LangChain, LlamaIndex, or equivalent). Experience deploying AI services in cloud or enterprise environments (AWS, Azure, GCP, on-prem Kubernetes). Skills & Capabilities Proven ability to manage multiple concurrent workstreams and coordinate cross-functional teams toward shared delivery milestones. Deep understanding of modern GenAI concepts: prompt engineering, RAG, fine-tuning, RLHF, model evaluation, guardrails, and LLMOps. Solid grounding in classical ML - able to select the right tool for the problem, not just default to the latest LLM. Backend development skills: REST APIs, containerisation (Docker/Kubernetes), and CI/CD pipelines for AI applications. Strong executive communication - able to run a board-level briefing one hour and a technical design review the next, credibly. Comfortable with ambiguity and able to set direction for a team when requirements are incomplete or evolving. How to Stand Out From the Crowd Kaggle or competitive ML experience. Familiarity with H2O.ai products, Wave, or H2O Document AI. Experience in financial services, healthcare, or other regulated industry AI deployments. Exposure to tabular foundation models, AutoML, or enterprise ML platforms. Prior experience in a customer-facing or field engineering role. Why H2O.ai? Market leader in total rewards Remote-friendly culture Flexible working environment Be part of a world-class team Career growth The base salary for this role ranges from $175,000 to $200,000. Compensation is determined based on several factors, including skills, experience, job scope, location, and relevant market compensation data. H2O.ai is committed to creating a diverse and inclusive culture. All qualified applicants will receive consideration for employment without regard to their race, ethnicity, religion, gender, sexual orientation, age, disability status or any other legally protected basis. H2O.ai is an innovative AI cloud platform company, leading the mission to democratize AI for everyone. Thousands of organizations from all over the world have used our cutting-edge technology across a variety of industries. We've made it easy for people at all levels to generate breakthrough solutions to complex business problems and advance the discovery of new ideas and revenue streams. We push the boundaries of what is possible with artificial intelligence. H2O.ai employs the world's top Kaggle Grandmasters, the community of best-in-the-world machine learning practitioners and data scientists. A strong AI for Good ethos and responsible AI drive the company's purpose. Please visit to learn more.
