117 jobs found

Job Description Job Description About the Role FES is seeking a Senior DDC Engineer / Programmer with deep technical expertise in building automation and control systems. This is a hands-on leadership role that combines advanced programming, field commissioning, and project delivery with mentoring and client-facing responsibilities. You'll lead complex projects, provide technical direction to technicians, and collaborate closely with engineering, construction, and service teams to deliver reliable, high-performance control solutions. Key Responsibilities Collaborate with the Engineering Department to review and advise on control drawings and project submittals. Program, integrate, and commission DDC systems and field devices across multiple platforms. Ensure accurate operation of all building control sequences, alarms, trends, and archives. Develop and implement custom graphics for end-user interfaces. Train and mentor DDC technicians and provide system training for clients. Integrate BAS with third-party building systems (e.g., chillers, generators, lighting). Troubleshoot complex system and network issues (BACnet IP, MS/TP, LAN/WAN). Read and interpret mechanical drawings, sequences of operation, and specifications. Prepare and deliver as-built documentation and support project turnover. Support both on-site commissioning and remote diagnostics as needed. Company Description Facility Engineering Services is a growing company with business interests in HVAC mechanical service, automatic temperature controls installation, and DDC service. We are a market leader in the Baltimore/Washington metropolitan area and have involvement in projects worldwide. Company Description Facility Engineering Services is a growing company with business interests in HVAC mechanical service, automatic temperature controls installation, and DDC service. We are a market leader in the Baltimore/Washington metropolitan area and have involvement in projects worldwide.

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?

Senior Staff AI Engineer - Agentic AI Platform (Remote Eligible) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. Capital One is open to hiring a Remote Employee for this opportunity What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Define and steer the technical AI architecture vision, integrating applied research breakthroughs into production ecosystems with reliability and scale Lead the establishment of AI performance, safety, and transparency standards that guide all model development and deployment company-wide Drive multi-year platform initiatives that unify data, compute and model lifecycle management under and cohesive enterprise AI architecture Mentor senior technical leaders across research, data and engineering disciplines, developing the next generation of Capital One's AI technical leadership Basic Qualifications: Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 10 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies At least 10 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience architecting AI platforms with tradeoff decisions around cost, latency, throughput and accuracy 9+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the SVP level Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Recognized industry leader in applied AI or machine learning infrastructure through patents, publications, or open-source leadership Demonstrated experience designing long-term AI infrastructure strategies - balancing cost, scale, ethics and regulatory compliance Experience driving organization-wide adoption of AI safety, alignment and governance standards, collaborating with policy, risk and legal teams Proven ability to shape R&D investment strategy by identifying breakthrough AI capabilities with material business impact Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Remote (Regardless of Location): $286,200 - $326,700 for Sr. Staff AI Engineer Cambridge, MA: $314,800 - $359,300 for Sr. Staff AI Engineer McLean, VA: $314,800 - $359,300 for Sr. Staff AI Engineer New York, NY: $343,400 - $392,000 for Sr. Staff AI Engineer San Francisco, CA: $343,400 - $392,000 for Sr. Staff AI Engineer San Jose, CA: $343,400 - $392,000 for Sr. Staff AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Senior Staff AI Engineer - Agentic AI Platform (Remote Eligible) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. Capital One is open to hiring a Remote Employee for this opportunity What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Define and steer the technical AI architecture vision, integrating applied research breakthroughs into production ecosystems with reliability and scale Lead the establishment of AI performance, safety, and transparency standards that guide all model development and deployment company-wide Drive multi-year platform initiatives that unify data, compute and model lifecycle management under and cohesive enterprise AI architecture Mentor senior technical leaders across research, data and engineering disciplines, developing the next generation of Capital One's AI technical leadership Basic Qualifications: Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 10 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies At least 10 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience architecting AI platforms with tradeoff decisions around cost, latency, throughput and accuracy 9+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the SVP level Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Recognized industry leader in applied AI or machine learning infrastructure through patents, publications, or open-source leadership Demonstrated experience designing long-term AI infrastructure strategies - balancing cost, scale, ethics and regulatory compliance Experience driving organization-wide adoption of AI safety, alignment and governance standards, collaborating with policy, risk and legal teams Proven ability to shape R&D investment strategy by identifying breakthrough AI capabilities with material business impact Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Remote (Regardless of Location): $286,200 - $326,700 for Sr. Staff AI Engineer Cambridge, MA: $314,800 - $359,300 for Sr. Staff AI Engineer McLean, VA: $314,800 - $359,300 for Sr. Staff AI Engineer New York, NY: $343,400 - $392,000 for Sr. Staff AI Engineer San Francisco, CA: $343,400 - $392,000 for Sr. Staff AI Engineer San Jose, CA: $343,400 - $392,000 for Sr. Staff AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Senior Web Optimization Engineer (NOT A REMOTE POSITION) Senior Web Optimization Engineer Senior Web Optimization Engineer Location: Hybrid, Hoffman Estates, IL (THIS IS NOT A REMOTE POSITION) Schedule: Mondays, Tuesdays, Thursdays / In Office: Wednesdays and Fridays Remote Employment Type: Full-time Salary Range: $85,000-$110,000 per yr. About JumpFly JumpFly is an independent digital marketing agency that has helped businesses grow through paid media, SEO, marketplace advertising, email marketing, and digital strategy since 2003. We are expanding our Conversion Rate Optimization and Website Services capabilities and are hiring a Senior Web Optimization Engineer to help build and scale this new service line. About the Role The Senior CRO and Web Optimization Engineer is not a traditional software engineering role. We're looking for a hands-on web optimization expert with direct experience in CRO, GA4/GTM, WordPress, and ecommerce who can identify conversion opportunities, prioritize solutions, and implement them. Ideal Candidate Profile The ideal candidate is a senior, hands-on web optimization expert who can move from analysis to action. You can quickly understand how a website works, identify the most meaningful opportunities, explain your recommendations to clients, and implement improvements safely. You combine CRO judgment with strong technical execution. You are comfortable across lead-generation and ecommerce experiences, use data to guide priorities, and look for repeatable solutions that improve delivery over time. Required Qualifications 5 or more years of relevant web development, analytics implementation, or website optimization experience, or equivalent senior-level capability Hands-on experience implementing and troubleshooting production website changes in WordPress and Shopify or a comparable ecommerce platform Strong HTML, CSS, JavaScript, and browser-debugging skills, with experience building responsive, production-ready web experiences Strong GA4, Google Tag Manager, data-layer, conversion-tracking, and analytics implementation experience Demonstrated ability to conduct technical website audits and turn findings into prioritized recommendations Working familiarity with experimentation platforms, behavioral analytics, Core Web Vitals, technical SEO, and accessibility standards Strong technical judgment, troubleshooting, client communication, and experience safely delivering work across multiple website environments Preferred Qualifications Additional experience with experimentation platforms, test design, or statistical analysis Additional experience with Shopify Liquid, Adobe Commerce, ecommerce analytics, or complex data-layer implementations Experience with New Relic, PHP, APIs, integrations, or visual-regression testing Agency or consultancy experience, including helping standardize or productize a web optimization service If you do not meet all the above requirements STOP! DO NOT APPLY FOR THIS POSITION! Core Responsibilities Conduct technical website audits covering architecture, CMS constraints, analytics, conversion paths, performance, accessibility, integrations, and implementation risks Implement, audit, and troubleshoot GA4, Google Tag Manager, data-layer events, form tracking, conversion tracking, and ecommerce tracking; establish reliable baseline metrics Implement approved CRO and website improvements, including landing pages, forms, navigation, checkout flows, responsive layouts, and reusable components Estimate effort, identify dependencies and risks, and recommend maintainable implementation approaches Present findings clearly and participate in client discovery, scoping, planning, and troubleshooting when technical or CRO expertise is needed Why Join JumpFly Help build a new optimization-focused service within an established, independent digital marketing agency Work directly with clients across varied industries, business models, and technical environments Collaborate with experienced paid media, SEO, design, and strategy teams Combine strategic CRO guidance with hands-on implementation Help define the standards, tools, and repeatable solutions used as the division grows Benefits Hybrid office with 2 remote working days per week Competitive starting salary based on experience Retirement plan with 3% company match, immediate vesting $475/month towards our group health and dental plan Two weeks paid vacation in the first year Casual, friendly work environment Compensation details: 00 Yearly Salary PI4dba8d93cc50-9737

Senior Web Optimization Engineer (NOT A REMOTE POSITION) Senior Web Optimization Engineer Senior Web Optimization Engineer Location: Hybrid, Hoffman Estates, IL (THIS IS NOT A REMOTE POSITION) Schedule: Mondays, Tuesdays, Thursdays / In Office: Wednesdays and Fridays Remote Employment Type: Full-time Salary Range: $85,000-$110,000 per yr. About JumpFly JumpFly is an independent digital marketing agency that has helped businesses grow through paid media, SEO, marketplace advertising, email marketing, and digital strategy since 2003. We are expanding our Conversion Rate Optimization and Website Services capabilities and are hiring a Senior Web Optimization Engineer to help build and scale this new service line. About the Role The Senior CRO and Web Optimization Engineer is not a traditional software engineering role. We're looking for a hands-on web optimization expert with direct experience in CRO, GA4/GTM, WordPress, and ecommerce who can identify conversion opportunities, prioritize solutions, and implement them. Ideal Candidate Profile The ideal candidate is a senior, hands-on web optimization expert who can move from analysis to action. You can quickly understand how a website works, identify the most meaningful opportunities, explain your recommendations to clients, and implement improvements safely. You combine CRO judgment with strong technical execution. You are comfortable across lead-generation and ecommerce experiences, use data to guide priorities, and look for repeatable solutions that improve delivery over time. Required Qualifications 5 or more years of relevant web development, analytics implementation, or website optimization experience, or equivalent senior-level capability Hands-on experience implementing and troubleshooting production website changes in WordPress and Shopify or a comparable ecommerce platform Strong HTML, CSS, JavaScript, and browser-debugging skills, with experience building responsive, production-ready web experiences Strong GA4, Google Tag Manager, data-layer, conversion-tracking, and analytics implementation experience Demonstrated ability to conduct technical website audits and turn findings into prioritized recommendations Working familiarity with experimentation platforms, behavioral analytics, Core Web Vitals, technical SEO, and accessibility standards Strong technical judgment, troubleshooting, client communication, and experience safely delivering work across multiple website environments Preferred Qualifications Additional experience with experimentation platforms, test design, or statistical analysis Additional experience with Shopify Liquid, Adobe Commerce, ecommerce analytics, or complex data-layer implementations Experience with New Relic, PHP, APIs, integrations, or visual-regression testing Agency or consultancy experience, including helping standardize or productize a web optimization service If you do not meet all the above requirements STOP! DO NOT APPLY FOR THIS POSITION! Core Responsibilities Conduct technical website audits covering architecture, CMS constraints, analytics, conversion paths, performance, accessibility, integrations, and implementation risks Implement, audit, and troubleshoot GA4, Google Tag Manager, data-layer events, form tracking, conversion tracking, and ecommerce tracking; establish reliable baseline metrics Implement approved CRO and website improvements, including landing pages, forms, navigation, checkout flows, responsive layouts, and reusable components Estimate effort, identify dependencies and risks, and recommend maintainable implementation approaches Present findings clearly and participate in client discovery, scoping, planning, and troubleshooting when technical or CRO expertise is needed Why Join JumpFly Help build a new optimization-focused service within an established, independent digital marketing agency Work directly with clients across varied industries, business models, and technical environments Collaborate with experienced paid media, SEO, design, and strategy teams Combine strategic CRO guidance with hands-on implementation Help define the standards, tools, and repeatable solutions used as the division grows Benefits Hybrid office with 2 remote working days per week Competitive starting salary based on experience Retirement plan with 3% company match, immediate vesting $475/month towards our group health and dental plan Two weeks paid vacation in the first year Casual, friendly work environment Compensation details: 00 Yearly Salary PI4dba8d93cc50-9737

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 Here at Appian, our values of Intensity and Excellence define who we are. We set high standards and live up to them, ensuring that everything we do is done with care and quality. We approach every challenge with ambition and commitment, holding ourselves and each other accountable to achieve the best results. When you join Appian, you'll be part of a passionate team dedicated to accomplishing hard things, together. Principal ML Platform Engineer Location: Remote (US) Lead the engineering of software that matters - driving AI automation for the world's largest enterprises. About the Team Appian Engineering spans the full depth of our platform: from the foundational layers that power enterprise scale, to the AI capabilities redefining what automation can do. We operate in a highly collaborative, fast-paced environment focused on technical precision, continuous learning, and high code quality. By joining our team, you will solve real-world problems that directly shape how Appian delivers our AI-Powered Process Automation platform to enterprises around the world. The Opportunity As a Principal Software Engineer, you will serve as a technical linchpin for the team, bringing deep expertise in cloud-native architecture and a track record of influencing engineering direction beyond your immediate scope. Equipped with cutting-edge AI tooling, you will drive the design and delivery of high-complexity engineering solutions, set the technical bar for the team, and lead other engineers towards solutions of real complexity to ensure flawless Enterprise-Grade Orchestration. What You'll Do Develop Clean Software: Architect, build, and optimize high-performance software systems while maintaining a strong personal technical presence on the team. Lead Platform Modernization: Spearhead strategic technological changes and champion code refactoring efforts to keep the core Appian codebase cutting-edge, modern, and performant. Engineer with AI: Use AI coding tools fluently as a force multiplier: generating, reviewing, and critically evaluating AI-assisted code to ship faster without compromising quality or correctness. Lead Architecture & Delivery: Drive technical story breakdowns, acceptance criteria, and architectural design across complex, multi-tier application layers - from feature scoping through implementation. Optimize Performance & Scale: Manage product availability, latency, scalability, and efficiency by engineering deep reliability into our core software systems and performing advanced system tuning. Drive Engineering Excellence: Radiate development best practices across the department, perform meticulous code reviews on design and implementation, and build automation frameworks to prevent problem recurrence. Lead & Grow Engineers: Actively coach and mentor engineers at multiple levels, identify and close skill gaps on the team, and take ownership of accelerating the technical growth of those around you. Influence Technical Documentation: Share your expert domain knowledge regularly across the department, building a reputation as a vital resource and publishing high-quality content to Engineering's permanent documentation site. Required Qualifications Education: Minimum of a Bachelor of Science degree in Computer Science or a related technical/analytical discipline. (Equivalent experience is not accepted in lieu of a degree). Experience: 10+ years of relevant software development experience with a BS (or 8+ years of experience paired with a Master of Science in Computer Science or related field). Technical Mastery: Expert coding, scripting, and debugging proficiency in one or more core enterprise programming languages, specifically Java, Python, or Go. Domain Expertise: Deep working knowledge of distributed systems, cloud infrastructure, and the ability to contribute meaningfully at a senior individual contributor level within that space. Cross-Team Influence: Demonstrated ability to drive technical decisions and shape engineering practices beyond a single team or project scope. AI-Augmented Development: Demonstrated experience using AI coding assistants and a strong ability to evaluate, coach others on, and selectively apply AI-generated code in a production engineering context. Production Mastery: Proven experience developing, optimizing, and maintaining a high-volume, mission-critical production service environment. Communication & Alignment: Exceptional ability to communicate highly technical architectures verbally, visually, and in writing to diverse engineering audiences. Preferred Qualifications Cloud Architecture: Strong experience designing microservices, working with containerization (Docker, Kubernetes), and implementing modern CI/CD pipelines. Cloud Platforms: Deep experience developing and operating infrastructure across public cloud ecosystems, specifically AWS, Azure, and/or GCP. We value experience with enterprise platforms such as Salesforce or ServiceNow, as these skills translate well into our Enterprise-Grade Orchestration environment. What We Equip You With High-Impact Autonomy: A leadership environment where you will have real ownership over your team's direction, the latitude to make meaningful decisions, and participation in broader Engineering discussions. New Hire Orientation: A robust onboarding experience designed to integrate you smoothly into our technology, culture, and leadership model so you can show up for your team from day one. Continuous Enablement: Access to premier learning resources and dedicated learning time focused on both your continued technical growth and your evolution as an engineering leader. Sponsored Certifications: Full corporate sponsorship for professional technical certifications to advance your engineering credentials. The base salary range represents a good faith and reasonable estimate of the range at the time of posting. Actual compensation will be dependent on a number of factors including, but not limited to, the candidate's relevant work experience, qualifications, internal peer equity, and market and business conditions that exist when extending an offer. A discretionary bonus may be awarded in recognition of individual and company performance. In addition, Appian provides generous benefits offerings that include a 401(k) plan with company match, flexible time off, paid parental leave, medical, dental, and vision plans, life insurance, disability insurance, wellness programs, flexible spending accounts, health savings account contributions, an employee referral bonus program, and learning and development resources. Certain positions may be eligible for equity awards. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation, commission, bonus, or benefit plans. Base Salary Range $175,000-$325,000 USD Tools and Resources Training and Development: During onboarding, we focus on equipping new hires with the skills and knowledge for success through department-specific training. Continuous learning is a central focus at Appian, with dedicated mentorship and the First-Friend program being widely utilized resources for new hires. Growth Opportunities: Appian provides a diverse array of growth and development opportunities, including our leadership program tailored for new and aspiring managers, a comprehensive library of specialized department training through Appian University, skills based training, and tuition reimbursement for those aiming to advance their education. This commitment ensures that employees have access to a holistic range of development opportunities. Community: We'll immerse you into our community rooted in respect starting on day one. Appian fosters inclusivity through our 8 employee-led affinity groups. These groups help employees build stronger internal and external networks by planning social, educational, and outreach activities to connect with Appianites and larger initiatives throughout the company. Benefits Appian offers a comprehensive benefits package designed to support your health, wellbeing, and financial future. Benefits may include health coverage, Employee Assistance Program (EAP) with free mental health support, life and disability insurance, an Employee Stock Purchase Program (ESPP), a retirement/pension plan, wellness dollars, tuition reimbursement, family-forming benefits and more. Benefits vary by country-please ask your Talent Acquisition contact for details specific to the location you are applying to. About Appian Appian provides AI automation for mission-critical work. We automate complex processes in large enterprises and governments. Our platform is known for its unique reliability and scale. We've been automating processes for more than 25 years and understand enterprise operations like no one else. For more information, visit Nasdaq: APPN Follow Appian: LinkedIn, Youtube, Instagram, Facebook Appian is an equal opportunity employer that strives to attract and retain the best talent . click apply for full job details

Job Description Job Description Job description At , we solve the most complex and critical challenges by moving quickly from analysis to action when it really matters; creating value that has a lasting impact on companies, their people, and the communities they serve. We hold ourselves accountable by providing space for authenticity, growth, and equity for everyone. has embraced a hybrid work model to provide flexibility and support work-life integration. Travel is part of this position, but frequency may vary based on client, team, and individual circumstances. Relocation assistance is not available for this position. About the Role The Principal AI Engineer sits at the intersection of software engineering, data science, platform architecture, and AI governance. You will be the technical owner of how AI/ML engineering is designed, built, governed, and shipped across a portfolio of products serving all of domains. This is a hands-on engineering and technical leadership position. You will move fluidly between writing production code, architecting multi-tenant AI services, building internal developer tooling, leading security and governance design, and mentoring engineering teams. Your success is measured by team-level outcomes - scalable patterns that outlast your direct involvement. What You'll Do AI Productization & Platform Engineering Design and own the firm's AI productization & governance playbook, covering service patterns, security/compliance standards, model evaluation rubrics, and production-readiness criteria. Build and maintain reusable internal tooling, including AI service scaffolding, evaluation and monitoring tooling, and data infrastructure - designed for team adoption without ongoing hand-holding. Establish AI agent governance policies covering agent permissions, code execution controls, access to internal systems, and human-in-the-loop enforcement. Partner with Security, Legal, and Compliance to define SOC2/ISO-aligned AI controls, vendor DPA requirements, and prompt data classification policies. Establish standardized deployment patterns using containerization, infrastructure-as-code, and CI/CD pipeline templates reusable across teams. Developer Experience & Engineering Excellence Champion AI-assisted development practices across the engineering org, including LLM-integrated development workflows, test-driven development patterns, and reusable tooling standards that scale across teams. Codify modern software development standards (CI/CD, DevOps, testing, delivery quality) referenced by multiple teams as a baseline for new or re-platformed products. Mentor engineers and tech leads with observable improvement in delivery consistency, design quality, and production readiness rigor. Cross-Functional Leadership & Stakeholder Influence Serve as the go-to technical authority on AI/ML, platform architecture, and engineering practices - regularly consulted by senior stakeholders at the design and strategy stages. Bridge technical and non-technical stakeholders, translating complex architectural decisions, AI risk topics, and platform tradeoffs into clear, actionable guidance. What You'll Need Required 15+ years in software engineering, data science, or a closely related technical field. Bachelor's degree or higher in Computer Science, Engineering, or a related field. Deep expertise in AI/ML frameworks and the Python ecosystem, with hands-on experience deploying models to public cloud infrastructure. Demonstrated experience designing and operating multi-tenant AI services and LLM integrations in production. Proven track record leading microservices architecture - decomposing monoliths, defining service contracts, and operationalizing CI/CD for distributed systems. Strong hands-on command of containerization (Docker), infrastructure-as-code (Terraform), and modern DevOps practices. Substantive experience with AI/LLM security - including prompt injection, data boundary enforcement, model supply chain risk, and AI-specific threat modeling. Strong problem-solving skills, especially in building governance frameworks, evaluation rubrics, and reusable platform patterns at scale. Excellent written and verbal communication skills in English; ability to translate complex technical topics to diverse audiences, including executive stakeholders. Experience with Agile methodologies and cross-functional product team collaboration. Preferred / Additional Qualifications Experience applying AI/ML in business consulting, advisory, or professional services contexts. Familiarity with AI service interface and gateway design patterns, including emerging AI integration protocols. Contributions to open-source AI/ML projects, publications, or active involvement in technical communities. Advanced certifications in AI, deep learning, cloud architecture, or security (e.g., AWS/GCP/Azure ML, CISSP). Experience defining AI compliance controls for SOC2, ISO 27001, or TISAX frameworks. Demonstrated enthusiasm for developer education - writing internal guides, running workshops, or building internal tooling communities. Proficiency in additional languages is a plus (Go, Typescript) Demonstrated ability and enthusiasm to mentor and uplift junior team members or peers Willingness to work outside of normal business hours, and in particular as unique projects/needs arise. Ability to work full time in an office and remote environment; physically able to sit/stand at a computer and work in front of a computer screen for significant portions of the workday Must become familiar with, and promote and abide by, our Core Values as defined by the and foster an inclusive environment with people at all levels of an organization

Job Description Job Description Description: About Us: eSimplicity is a modern digital services company that partners with government agencies to improve the lives and protect the well-being of all Americans, from veterans and service members to children, families, and seniors. Our engineers, designers, and strategists cut through complexity to create intuitive products and services that equip federal agencies with solutions to courageously transform today for a better tomorrow. Responsibilities: The Agentic AI & MCP Specialist will architect, develop, and operationalize next-generation agentic systems powered by advanced LLMs and Model Context Protocol (MCP) frameworks. This role focuses on building intelligent, multi-step, tool-using agents that can autonomously reason, plan, and execute complex workflows across a cloud-based analytics ecosystem. The specialist will design and implement agent orchestration frameworks, integrate model-driven decision logic, and build robust, production-grade agent capabilities that safely leverage emerging AI techniques. This position requires a deeply skilled software developer who combines strong engineering fundamentals with hands-on experience creating agentic systems, working with MCP-based integrations, designing LLM-driven tools, and building secure, scalable AI applications. The role provides technical leadership, explores cutting-edge agentic patterns, drives proof-of-concept innovation, and partners with engineering and product teams to translate experimental architectures into real-world impact. Requirements: Required Qualifications: All candidates must pass public trust clearance through the U.S. Federal Government. This requires candidates to either be U.S. citizens or pass clearance through the Foreign National Government System which will require that candidates have lived within the United States for at least 3 out of the previous 5 years, have a valid and non-expired passport from their country of birth and appropriate VISA/work permit documentation. Bachelor's Degree and 10+ years of software engineering experience Experience designing, developing, and supporting production applications, platforms, or services. Experience developing agentic AI solutions, including planning, tool utilization, workflow orchestration, multi-step reasoning, or autonomous task execution. Experience designing and implementing Model Context Protocol (MCP) integrations, tool interfaces, or model-driven service architectures. Ability to analyze business, customer, or mission requirements and develop scalable AI-driven solutions that align with technical and operational objectives. Experience with large language model (LLM) development practices, including fine-tuning, retrieval-augmented generation (RAG), prompt engineering, and agent interaction patterns. Proficiency in Python and experience working with APIs, microservices, distributed computing environments, and cloud-native architectures. Experience deploying and integrating AI agents or LLM-enabled applications within cloud environments such as Azure, AWS, or Google Cloud Platform (GCP). Knowledge of MLOps and LLMOps practices, including model versioning, automated testing, deployment automation, monitoring, performance evaluation, and governance. Ability to contribute to solution design discussions, provide technical guidance to team members, and communicate AI-related concepts to technical and non-technical audiences. Experience using version control systems and CI/CD practices, including source code management, automated testing, deployment pipelines, and release management for production environments. Desired Qualifications: Experience building multi-agent systems, agent swarms, or coordinated reasoning frameworks. Familiarity with advanced tool-calling strategies, including dynamic tool selection, function-call planning, or graph-structured task planners. Experience with structured LLM evaluation methods, agent benchmarking, or test harnesses for autonomous systems. Knowledge of performance optimization techniques for LLMs and agents, including caching, model distillation, model routing, or accelerated inference. Background integrating agentic components with large-scale data or analytics platforms (e.g., Databricks, Snowflake, Spark). Hands-on experience developing innovative POCs or experimental agentic architectures in fast-paced R&D environments. Familiarity with emerging agentic frameworks such as Strands Agents, LangGraph, CrewAI, etc. Exposure to safety-oriented design patterns for autonomous systems, including guardrails, validation layers, or constrained-action frameworks. Experience designing and building secure, compliance-aware systems that handle sensitive data in accordance with HIPAA and federal security standards, including implementation of encryption, access controls, auditability, and governance for protected health information (PHI) within AI/LLM workflows. Working Environment : eSimplicity supports a remote work environment operating within the Eastern time zone so we can work with and respond to our government clients. Expected hours are 9:00 AM to 5:00 PM Eastern unless otherwise directed by manager. Occasional travel for training and project meetings. It is estimated to be less than 5% per year. Benefits: eSimplicity offers a comprehensive benefits package, including medical, dental, and vision coverage, 401(k) retirement benefits, paid time off, paid holidays, life and disability insurance, and additional wellness and employee support programs. Eligibility may vary based on employment status and applicable plan terms. Reasonable Accommodation: eSimplicity is committed to providing reasonable accommodations to qualified individuals with disabilities during the application and hiring process. Applicants who need assistance or an accommodation should contact Human Resources. Equal Employment Opportunity: eSimplicity is an Equal Opportunity Employer, including disability and protected veteran status. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran status, disability, or any othe

Job Description Job Description Company Description About AbbVie AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at . on LinkedIn, Facebook, Instagram, X and YouTube. Job Description We are building a team that develops AI agents to solve hard security problems and you will be tackling the hardest ones. This is a hands-on, senior IC role. You will architect, build, and ship agentic AI systems that operate autonomously within security environments, while also driving the technical direction and standards for how these systems are built, tested, and secured. This is not a management role and not a pure research role. You will write code, ship systems, and get your hands dirty but you will be working on problems where there is no playbook yet. You will define the approach, build the proof of concept, harden it for production, and write the technical guidance others follow. Responsibilities: Architect and build AI agent systems for security operations autonomous detection, investigation, response, threat hunting, vulnerability analysis, and risk assessment Tackle the novel, high-complexity problems: adversarial robustness of agent systems, secure agent-to-agent communication, guardrails for autonomous decision-making in high-stakes security contexts Develop frameworks, tooling, and patterns for building secure and reliable agentic AI systems then use them yourself Conduct original research and experimentation on agentic AI applied to offensive and defensive security, translating findings into working code Build proof-of-concept exploits and adversarial tests against agentic AI systems to identify failure modes and inform defensive design Develop and publish technical guidance and policy for agentic AI security grounded in systems you have built and broken Independently author security position papers on emerging technologies strategic, high-level documents that frame organizational thinking on new threat domains and drive downstream policy and technical guidance Serve as a subject matter expert and key driver of the AI Cybersecurity Maturity program, spanning application security, training, AI controls and infrastructure, AI discovery and inventory, operations and incident response, and policy and procedure development Integrate LLMs, custom models, and security tooling (SIEM, EDR, SOAR, cloud platforms, vulnerability scanners) into agent architectures Evaluate and adopt emerging AI capabilities (new models, frameworks, techniques) and determine their applicability to security problems Set technical direction for agent development practices, including evaluation frameworks, testing methodologies, and deployment patterns Mentor and elevate other engineers on the team through code review, design guidance, and technical leadership Qualifications Required: Bachelor's Degree with 9 years' experience; Master's Degree with 8 years' experience; PhD with 4 years' experience. Respective years of experience in cybersecurity, security engineering, or security research with substantial hands-on technical depth Strong software engineering skills you ship production systems, not just prototypes. Python required; additional languages a plus Deep expertise in at least two of: security operations, application security, threat intelligence, vulnerability research, detection engineering, offensive security, cloud security Demonstrated experience building AI agents and AI/ML-powered security tools or automation that operated at scale Hands-on experience with agentic coding tools (e.g., Claude Code, Cursor, GitHub Copilot, Aider, or similar) as part of your daily development workflow you build with agents, not just build agents Track record of original technical work published research, open-source tooling, conference presentations, or equivalent evidence of independent technical contribution Ability to work at the intersection of security and AI: you understand both the security implications of AI systems and how to apply AI to security problems Experience developing technical standards, frameworks, or guidance that others adopted Strong written and verbal communication you can explain complex technical concepts to both engineers and senior leadership, and you can write strategically about emerging technology risks at a level that shapes organizational direction Preferred: Experience with agent orchestration and autonomous systems (custom frameworks, LangChain, AutoGen, MCP, or similar) Background in adversarial ML, AI red teaming, or AI safety Familiarity with security compliance frameworks (NIST, ISO 27001, SOX) and how they apply to AI systems Published work (Black Hat, DEF CON, OWASP, academic journals, or equivalent venues) Experience in regulated industries (financial services, healthcare, critical infrastructure, government/defense) Contributions to open-source security projects OWASP, MITRE ATT&CK, or similar framework expertise applied in production environments Security clearance eligibility (not required) Additional Information Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law: The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately pay more or less than the posted range. This range may be modified in the future. We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees. This job is eligible to participate in our long-term incentive programs. Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole and absolute discretion unless and until paid and may be modified at the Company's sole and absolute discretion, consistent with applicable law. AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community. Equal Opportunity Employer/Veterans/Disabled. US & Puerto Rico only - to learn more, visit -us/equal-employment-opportunity-employer.html US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more: -us/reasonable- accommodations.html

Job Description Job Description We are seeking a Senior Network Security Engineer for an operations-first role supporting enterprise network security infrastructure across on-premises, remote-access, hybrid-cloud, and cloud-connected environments. This is not primarily an architecture/design role. The priority is a hands-on engineer who can administer, configure, maintain, troubleshoot, patch, upgrade, back up, validate, document, and operate production security platforms with minimal ramp-up. Firewall operations: hands-on Cisco and Palo Alto firewall administration, rule changes, NAT, troubleshooting, policy cleanup, upgrades, backups, logging, and production support. VPN / remote access: support for remote-access VPN, site-to-site VPN, user connectivity issues, certificates, authentication flows, and after-hours troubleshooting. RSA / MFA administration: RSA SecurID or equivalent MFA operations, token support, server administration, user troubleshooting, VPN integration, certificates, patching, backups, logs, and monitoring. Day-to-day operations: ticket resolution, monitoring alerts, health checks, change requests, incident support, maintenance windows, operational reporting, and customer support. Configuration and administration: installing, configuring, maintaining, patching, upgrading, backing up, validating, and troubleshooting assigned security platforms. Production troubleshooting: strong TCP/IP, DNS, routing, firewall logs, packet captures, VPN authentication, certificate, and connectivity troubleshooting. Documentation and process discipline: SOPs, runbooks, diagrams, change records, rollback plans, evidence collection, knowledge transfer, and formal change management. Federal/customer environment maturity: Public Trust eligibility, regulated-environment documentation, customer support, cross-team coordination, and comfort working with government stakeholders. The best candidate can credibly say: "I have operated enterprise Cisco and Palo Alto firewalls in production, handled firewall rule changes and troubleshooting, supported VPN users and site-to-site tunnels, administered or supported RSA/MFA tied to VPN access, followed formal change-management processes, maintained documentation and backups, and can step into daily operational support with minimal ramp-up." Scope and Role Boundaries Primary platforms include Cisco ASA/Firepower/FTD/FMC, Palo Alto NGFW/Panorama/GlobalProtect, remote-access and site-to-site VPN, RSA SecurID Authentication Manager or comparable MFA, monitoring/logging/SIEM integrations, and related network security controls. Coordinate with SOC/NOC, cloud, identity/directory, wireless/LAN, server, endpoint, system owner, application, governance, and vendor teams during changes, incidents, troubleshooting, compliance, and audit support. Cloudflare, Cisco ISE/NAC, secure web/email gateways, packet visibility tools, SD-WAN/SASE/ZTNA, AWS/Azure security, and F5/application-delivery awareness are useful where they intersect with assigned operational support, but the core need is firewall, VPN, RSA/MFA, and production operations. Key Responsibilities Provide daily, weekly, monthly, and annual operational support for assigned security systems, including tickets, alerts, health checks, email/phone support, metrics, status reporting, and operational validation. Administer and troubleshoot enterprise firewalls, including rule bases, NAT, segmentation, high availability, threat prevention, VPN integration, logging, secure baselines, rule reviews, recertification, cleanup, and decommissioning. Install, configure, maintain, patch, upgrade, back up, and validate firewall, VPN, MFA, and related network security systems in production environments. Support remote-access VPN, site-to-site VPN, partner connectivity, cloud connectivity, mobile/remote users, certificates, authentication policies, availability, utilization, and user access issues. Maintain and troubleshoot RSA SecurID Authentication Manager or equivalent MFA services, including servers/appliances, agents, certificates, HA, backups, logs, monitoring, directory integration, VPN authentication, and token lifecycle support. Respond to incidents, vulnerability notices, urgent requests, vendor advisories, PSIRT notices, system alerts, and emergency troubleshooting while minimizing service disruption. Use firewall logs, VPN logs, packet captures, SIEM data, monitoring tools, DNS/routing checks, and standard diagnostics to resolve complex connectivity, authentication, TLS/certificate, and application-flow issues. Create and maintain topology diagrams, equipment inventories, configurations, SOPs, runbooks, implementation plans, rollback plans, build/upgrade procedures, troubleshooting notes, and knowledge articles. Follow approved change, release, incident, problem, and configuration-management processes; prepare change records, peer-review materials, validation evidence, root-cause analysis, metrics, and audit artifacts. Support vulnerability remediation, POA&M tracking, continuous monitoring, compliance reviews, audit evidence collection, and coordination with ISSO, system owner, and security governance teams. Requirements 7+ years of experience in network security engineering, network infrastructure, cybersecurity infrastructure, or a closely related role. 5+ years of hands-on experience administering, maintaining, and troubleshooting enterprise firewall platforms in production environments. Hands-on experience with Cisco security technologies such as Cisco ASA, Firepower, FTD, FMC, AnyConnect/Secure Client, or equivalent Cisco firewall/VPN platforms. Hands-on experience with Palo Alto Networks technologies such as NGFW, Panorama, GlobalProtect, security profiles, App-ID/User-ID, logging, and policy optimization. Experience administering or supporting RSA SecurID Authentication Manager or comparable enterprise MFA/two-factor authentication platforms, including token support, server operations, patching/upgrades, backups, certificates, monitoring, and directory/VPN integration. Strong knowledge of firewall policy, NAT, VPNs, routing, DNS, DHCP, BGP, TLS/certificates, packet captures, log analysis, segmentation, high availability, and common network diagnostic tools. Experience with enterprise monitoring, logging, SIEM, alerting, vulnerability management, incident response, formal change management, and regulated-environment documentation. Ability to create clear technical documentation, support customers and stakeholders, prioritize operational work, communicate clearly, and coordinate across technical teams. Ability to obtain and maintain a Public Trust background investigation. Desired Certifications Relevant certifications are helpful but should not replace demonstrated hands-on experience. Examples include CCNP Security, CCIE Security, PCNSE, PCCSE, CISSP, CCSP, AWS Certified Security - Specialty, AWS Advanced Networking - Specialty, Microsoft Certified: Azure Security Engineer Associate, Microsoft Certified: Azure Network Engineer Associate, CompTIA Security+, CompTIA CySA+, GIAC certifications, or equivalent vendor/cloud certifications. Core Competencies Enterprise firewall engineering and policy lifecycle management VPN, remote access, RSA/MFA, and token lifecycle operations Cloudflare, edge security, secure access, and Zero Trust support Content filtering, secure web/email gateway, and NAC operations Hybrid-cloud network security and secure connectivity Monitoring, logging, SIEM integration, and incident response support Security visibility, packet analysis, and advanced troubleshooting Vulnerability remediation, compliance evidence, and POA&M support Change management, documentation, reporting, and operational metrics Technical leadership, customer support, and cross-team collaboration Benefits 401(k) 401(k) matching Dental insurance Flexible schedule Flexible spending account Health insurance Health savings account Life insurance Paid time off Professional development assistance Referral program Retirement plan Tuition reimbursement Vision insurance

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 Dallas, Texas and requires onsite customer interfacing. 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.

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.

Job Description Job Description About Agile Defense At Agile Defense we know that action defines the outcome and new challenges require new solutions. That's why we always look to the future and embrace change with an unmovable spirit and the courage to build for what comes next. Our vision is to bring adaptive innovation to support our nation's most important missions through the seamless integration of advanced technologies, elite minds, and unparalleled agility-leveraging a foundation of speed, flexibility, and ingenuity to strengthen and protect our nation's vital interests. Requisition #: 1853 Job Title: Network Security Engineer Location: Suitland, MD Clearance Level: Public Trust Job Description Agile Defense is seeking a Senior Network Security Engineer to support the agency as it moves away from its legacy ForeScout CounterACT NAC/NAM system and adopts Cisco Identity Services Engine (ISE) as the new access control platform. The engineer will help configure and manage Cisco ISE across the environment, handling AAA services, wired and wireless 802.1X authentication, device administration, and posture checks for users and devices. This role also supports the agency's modernization work by improving authentication processes, updating ISE policies, and strengthening identity-based access controls. The engineer will troubleshoot access issues, refine policy designs, and help ensure users and devices can connect securely and reliably as the organization completes its transition from ForeScout to Cisco ISE. Troubleshoot and resolve Cisco ISE issues across RADIUS, TACACS+, 802.1X, device administration, and endpoint authentication. Deploy, configure, and maintain Cisco ISE running on two clustered Cisco SNS 3715 appliances, ensuring high availability and consistent policy enforcement. Support the agency's migration from ForeScout CounterACT to Cisco ISE, including reviewing legacy ForeScout policies, device groups, and access rules and mapping them into ISE policy sets. Provide general wireless support, including basic troubleshooting, wireless access workflows, and coordination with wireless infrastructure teams. Configure and support Cisco ISE integrations with Cisco 9800 WLCs, including guest/registration portals, wireless onboarding, and policy driven access control. Integrate and maintain Cisco ISE with Active Directory (AD) and LDAP, including identity lookups, group based authorization, and directory based authentication workflows. Deploy, configure, and maintain Cisco ISE components, including: o Policy Sets, Authorization Profiles, and Authentication Rules o TACACS+ device administration o 802.1X for wired and wireless networks o Profiling, posture, and compliance policies o Certificate based authentication and PKI integrations Monitor security events using ISE logs, syslog, and performing root cause analysis for authentication and access issues. Manage identity integrations, enforce security policies, and tune configurations to support Zero Trust and improve user experience. Perform routine health checks, upgrades, migrations, and document changes through SOPs, engineering designs, and implementation procedures. Work closely with engineering, operations, and compliance teams while mentoring junior staff and contributing to knowledge sharing efforts. Education and Background Bachelor's degree in Information Technology, Cybersecurity, or a related field. Years of Experience Eight (8) years of experience in a large government organization with five (5) years in technical leadership, including four (4) years implementing and troubleshooting Cisco ISE. Four (4) years of experience supporting identity centric or Zero Trust architectures with strong knowledge of segmentation, certificate management, and endpoint posture controls. Required Skills Senior Network Security Engineer responsible for designing, configuring, monitoring, and troubleshooting Cisco ISE as a NAC/NAM platform, including TACACS+/RADIUS services, device administration policies, and wired/wireless 802.1X authentication. Eight (8) years of experience in a large government organization with five (5) years in technical leadership, including four (4) years implementing and troubleshooting Cisco ISE with expertise in: o Authentication and authorization policies (RADIUS/TACACS+) o 802.1X/EAP methods for wireless and wired access o Device profiling, posture checks, and endpoint compliance o Certificate based authentication (EAP TLS) and PKI integration o AAA integrations for switches, appliances, firewalls, and wireless controllers Experience working with Cisco ISE deployed on Cisco SNS 3715 appliances, preferably in a two node clustered, high availability setup. Understanding of ForeScout CounterACT, including legacy NAC/NAM policies, device classification, and access workflows, to support the migration to Cisco ISE Experience providing general wireless network support, including basic troubleshooting, controller interactions, and wireless access workflows. Hands on experience integrating Cisco ISE with Active Directory (AD) and LDAP, including identity lookups, group based policy decisions, and directory based authentication. Experience supporting Cisco ISE integrations with Cisco 9800 Wireless LAN Controllers, including guest/registration page redirection and wireless onboarding. Experience migrating legacy NAC, RADIUS, or device authentication systems into Cisco ISE while aligning with Zero Trust principles. Solid understanding of telecommunications, network security, and Zero Trust best practices. Strong communication skills with the ability to explain Cisco ISE, NAC/NAM, and AAA concepts to both technical and non technical audiences. Preferred Skills Preferred certifications: Cisco CCNP Security, Cisco ISE Specialist, or similar identity/security certifications. Working Conditions On-site 5 days a week in Suitland, Maryland In addition, Agile Defense invests in its employees beyond just compensation. Agile's benefits offerings include, dependent upon position, Health Insurance, Life Insurance, Paid Time Off, Holiday Pay, short-term and long-term Disability, Retirement and Learning and Development opportunities as well as other optional benefit elections. Our Core Values Employees of Agile Defense are our number one priority, and the importance we place on our culture here is fundamental. Our culture is alive and evolving, but it always stays true to its roots. Here, you are valued as a family member, and we believe that we can accomplish great things together. Agile Defense has been highly successful in the past few years due to our employees and the culture we create together. What makes us Agile? We call it the 6Hs, the values that define our culture and guide everything we do. Together, these values infuse vibrancy, integrity, and a tireless work ethic into advancing the most important national security and critical civilian missions. It's how we show up every day. It's who we are. Happy - Be Infectious. Happiness multiplies and creates a positive and connected environment where motivation and satisfaction have an outsized effect on everything we do. Helpful - Be Supportive. Being helpful is the foundation of teamwork, resulting in a supportive atmosphere where collaboration flourishes, and collective success is celebrated. Honest - Be Trustworthy. Honesty serves as our compass, ensuring transparent communication and ethical conduct, essential to who we are and the complex domains we support. Humble - Be Grounded. Success is not achieved alone, humility ensures a culture of mutual respect, encouraging open communication, and a willingness to learn from one another and take on any task. Hungry - Be Eager. Our hunger for excellence drives an insatiable appetite for innovation and continuous improvement, propelling us forward in the face of new and unprecedented challenges. Hustle - Be Driven. Hustle is reflected in our relentless work ethic, where we are each committed to going above and beyond to advance the mission and achieve success. Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities 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 ABOUT HUT 8 Imagine the ultimate destination for those who want to work at the cutting edge of technology, energy, and infrastructure. Hut 8 is on a mission to build and operate some of the world's largest data centers for next-generation computing workloads, including AI, Colocation, Cloud, and Bitcoin Mining. We are proud to offer interesting and challenging opportunities for individuals who want to build teams, solve problems, and make an impact from day one. If you're an ambitious individual looking for a career that is as rewarding as it is challenging, you've come to the right place. ABOUT THE ROLE We are seeking a motivated Transmission & Interconnection, Principal to support Hut 8's interconnection and transmission planning efforts across the United States. As Hut 8 scales its energy infrastructure platform-powering next-generation data centers, AI workloads, and Bitcoin mining operations-securing reliable, cost-effective grid access is mission-critical. In this role, you will support the interconnection queue process for large load and co-located generation assets, working closely with utilities and grid operators to prepare study materials, maintain power system models, and translate technical findings for internal and external stakeholders. You will partner cross-functionally with the broader Transmission & Interconnection team to help identify, track, and mitigate interconnection timelines, cost exposures, and technical requirements. Key Responsibilities Utility Interface Prepare materials for utility and grid operator submittals Track study milestones and support related negotiation processes Maintain internal records to support study oversight Power System Modeling & Simulation Maintain model currency across regional grid operator systems Perform power flow studies to support load capacity screening, network upgrade cost estimation, and system reliability analysis Support system stability and protection-related studies as needed Prepare clear technical reports and analysis Translate technical findings for both engineering and business audiences Support coordination across internal teams Dynamic Model Quality Testing Coordinate with external consultants to build and validate power flow and dynamic models using standard industry software Process Improvement Support workflow automation and modern software tools to scale study throughput as project volume grows ABOUT YOU Required Qualifications BSEE from an ABET-accredited program with a power emphasis 3-5 years of experience in power systems, transmission planning, and interconnection gained as a consultant, ISO/utility engineer, or in an equivalent role Hands on experience with TARA for transmission reliability, power flow, and contingency analysis. Proficient with power system modeling and simulation software such as PSS/E, PSLF, PowerWorld, PSCAD, or equivalent. Strong analytical skills with ability to interpret complex interconnection study results and develop actionable recommendations Track record of successfully negotiating interconnection agreements and managing cost and schedule risk. Skilled in report preparation, data analytics, and cost modeling, with clear written and verbal communication Prior internship or co-op experience in power systems, transmission planning, or interconnection is a plus Preferred Qualifications Experience within an ISO/RTO, consulting firm, or utility, with exposure to organized markets such as PJM, ERCOT, MISO, SPP, or the Southeast (Georgia Power, Duke, TVA) Direct exposure to large-load or HPC/data center power requirements-including in an academic context-is a strong plus given the unit's focus on speed to power Familiarity with dynamic model validation and benchmarking via model quality testing Proficiency with workflow automation and application program interfaces to scale process development as study volume grows Professional Engineer (PE) license, or progress toward licensure ABOUT THE WORK ENVIRONMENT This role is in office at our corporate headquarters in the Brickell area of Miami, Florida. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. WHAT MAKES HUT 8 A GREAT PLACE TO WORK Hut 8 offers a benefits and wellness program that includes medical, dental, vision, life, and short-term and long-term disability insurance, as well as paid time off. We are proud to invest in building the best team in the industry. At all levels of the organization, we are driven by an entrepreneurial spirit, radical transparency, and relentless growth mentality. At Hut 8, you will have the opportunity to: Work with bright, driven peers from a range of educational and professional backgrounds including software development, energy, engineering, entrepreneurship, investment banking, private equity, and management consulting Design and pitch new products, services, and other initiatives to a leadership team consisting of serial entrepreneurs and seasoned executives and backed by a board of directors consisting of industry veterans of energy, finance, and government Debate ideas and alternatives in a truly meritocratic setting where the learning curve is steep and the lessons come from both senior and junior members of the team Build a lifelong network of friends and professional connections at the cutting-edge intersection of technology, energy, and infrastructure

Job Description Job Description Why Charlie Health? Millions of people across the country are navigating mental health conditions, substance use disorders, and eating disorders, but too often, they're met with barriers to care. From limited local options and long wait times to treatment that lacks personalization, behavioral healthcare can leave people feeling unseen and unsupported. Charlie Health exists to change that. Our mission is to connect the world to life-saving behavioral health treatment. We deliver personalized, virtual care rooted in connection-between clients and clinicians, care teams, loved ones, and the communities that support them. By focusing on people with complex needs, we're expanding access to meaningful care and driving better outcomes from the comfort of home. As a rapidly growing organization, we're reaching more communities every day and building a team that's redefining what behavioral health treatment can look like. If you're ready to use your skills to drive lasting change and help more people access the care they deserve, we'd love to meet you. About the Role Core Platform is a platform team. Our customers are Charlie Health's other engineering teams, and our job is to make them faster, safer, and more consistent. We don't ship product features. We build the patterns, services, and guardrails that other engineering teams depend on. As the Principal Platform Engineer on Core Platform, you will be the technical lead for the team building the platform underneath everything Charlie Health ships next: a federated GraphQL front door that fronts every client surface, the event substrate that carries every signal, the identity layer that authenticates every human and every AI agent, and the real-time world model state layer that gives our services and agents a live picture of care. You will be foundational in a replatforming effort, and the primitives you design become the platform's paved roads. This is a technical leadership role without direct reports. You own the team's technical direction, roadmap, and delivery. You will set direction for a team of Staff and Senior Platform Engineers, make the hardest design calls of the replatforming, and stay hands-on in the work. We build with AI as the default. Specs are the primary artifact, agents draft most of the implementation, and the quality gates this team owns are what make that safe in a HIPAA-regulated clinical business. Responsibilities Own the team's roadmap and intake. Balance incoming platform requests and near-term developer pain against long-term architectural investment, with support from the Director of Platform Engineering and the CTO Set the technical direction for the Core Platform team and break the north star architecture into projects the team ships quarter by quarter Run the team's delivery: planning, refinement, and the sprint cadence, with epics scoped to clear milestones and target dates Architect the federated GraphQL supergraph and govern its schema, including subgraph onboarding standards, contract enforcement, and caching and persisted query posture Build authentication and authorization for the platform, including agent identity: scoped, short-lived, audited credentials for non-human principals Design, build, and operate the centralized event substrate, including schema governance, dead-letter conventions, and the producer and consumer patterns that make async the default integration path between services Guide the technical execution of our strangler-fig migration through to cutover, working with product squads as they move onto the new platform Deliver the real-time world model state layer: the stream processing that turns events into state, and the live, low-latency state graph that services and agents query Facilitate the Architecture Advice Guild rituals and provide technical direction on architecture decision records for cross-team decisions and standards Raise the bar for spec writing and agent orchestration on the team, and review specs and agent output with the same rigor you would apply to a senior engineer's work Keep the platform services the team operates reliable: SLOs, monitor-gated deploys, incident leadership, and a seat in the on-call rotation Drive the technical evaluation for procurement and renewals of our critical platform vendors: evaluations, proofs of concept, usage and cost data, and build versus buy recommendations, partnering with the Director who owns the commercial side Mentor Staff and Senior engineers toward larger scope Requirements 10+ years of software engineering experience, including ownership of platform or distributed systems architecture at company scale. You have designed, operated, and evolved systems that other teams build on Hands-on experience with GraphQL federation at scale and with event streaming systems such as Kafka, covering design, schema governance, and production operation rather than just consumption Experience with skills, MCPs, harnesses, agentic tooling ecosystems, or agent orchestration for software development A track record of technical leadership without people authority. You have aligned multiple teams behind architectural outcomes and developed senior engineers Experience owning a team roadmap: intake, prioritization, and delivery planning alongside the architecture work You build with AI agents as part of your daily work. You write specs agents can implement, run agents for real delivery, and know where agent output needs human judgment Proficiency in the stack we run: TypeScript and/or Python services, Postgres, and AWS managed primitives Comfort operating production critical-path systems, including on-call, in a regulated environment Clear, direct communication with engineers, leadership, clinicians, and compliance This role requires 4 days per week in our NYC office. Nice to Haves Real-time stream processing (Flink, Spark, KsqlDB, or similar) and graph databases (Memgraph, Neo4j, Amazon Neptune, Dgraph, or similar) Healthcare data standards (FHIR, HL7v2) and engineering in a HIPAA-regulated environment Time as a people manager for senior or staff level engineers A strangler-fig migration or large platform cutover you have led Prior work on a platform engineering team Fluency with domain-driven design or event storming Benefits Charlie Health is pleased to offer comprehensive benefits to all full-time, exempt employees. Read more about our benefits here. The total target base compensation for this role will be between $225,000 and $325,000 per year at the commencement of employment. Please note, pay will be determined on an individualized basis and will be impacted by location, experience, expertise, internal pay equity, and other relevant business considerations. Further, cash compensation is only part of the total compensation package, which, depending on the position, may include stock options and other Charlie Health-sponsored benefits. Our Values Connection: Care deeply & inspire hope. Congruence: Stay curious & heed the evidence. Commitment: Act with urgency & don't give up. Please do not call our public clinical admissions line in regard to this or any other job posting. Please be cautious of potential recruitment fraud. If you are interested in exploring opportunities at Charlie Health, please go directly to our Careers Page: -openings. Charlie Health will never ask you to pay a fee or download software as part of the interview process with our company. In addition, Charlie Health will not ask for your personal banking information until you have signed an offer of employment and completed onboarding paperwork that is provided by our People Operations team. All communications with Charlie Health Talent and People Operations professionals will only be sent email addresses. Legitimate emails will never originate from or other commercial email services. Recruiting agencies, please do not submit unsolicited referrals for this or any open role. We have a roster of agencies with whom we partner, and we will not pay any fee associated with unsolicited referrals. At Charlie Health, we value being an Equal Opportunity Employer. We strive to cultivate an environment where individuals can be their authentic selves. Being an Equal Opportunity Employer means every member of our team feels as though they are supported and belong. We value diverse perspectives to help us provide essential mental health and substance use disorder treatments to all young people. Charlie Health applicants are assessed solely on their qualifications for the role, without regard to disability or need for accommodation. By clicking "Submit application" below, you agree to Charlie Health's Privacy Policy and Terms of Service. By submitting your application, you agree to receive SMS messages from Charlie Health regarding your application. Message and data rates may apply. Message frequency varies. You can reply STOP to opt out at any time. For help, reply HELP.

Job Description Job Description Why Charlie Health? Millions of people across the country are navigating mental health conditions, substance use disorders, and eating disorders, but too often, they're met with barriers to care. From limited local options and long wait times to treatment that lacks personalization, behavioral healthcare can leave people feeling unseen and unsupported. Charlie Health exists to change that. Our mission is to connect the world to life-saving behavioral health treatment. We deliver personalized, virtual care rooted in connection-between clients and clinicians, care teams, loved ones, and the communities that support them. By focusing on people with complex needs, we're expanding access to meaningful care and driving better outcomes from the comfort of home. As a rapidly growing organization, we're reaching more communities every day and building a team that's redefining what behavioral health treatment can look like. If you're ready to use your skills to drive lasting change and help more people access the care they deserve, we'd love to meet you. About the Role Core Platform is a platform team. Our customers are Charlie Health's other engineering teams, and our job is to make them faster, safer, and more consistent. We don't ship product features. We build the patterns, services, and guardrails that other engineering teams depend on. As the Principal Platform Engineer on Core Platform, you will be the technical lead for the team building the platform underneath everything Charlie Health ships next: a federated GraphQL front door that fronts every client surface, the event substrate that carries every signal, the identity layer that authenticates every human and every AI agent, and the real-time world model state layer that gives our services and agents a live picture of care. You will be foundational in a replatforming effort, and the primitives you design become the platform's paved roads. This is a technical leadership role without direct reports. You own the team's technical direction, roadmap, and delivery. You will set direction for a team of Staff and Senior Platform Engineers, make the hardest design calls of the replatforming, and stay hands-on in the work. We build with AI as the default. Specs are the primary artifact, agents draft most of the implementation, and the quality gates this team owns are what make that safe in a HIPAA-regulated clinical business. Responsibilities Own the team's roadmap and intake. Balance incoming platform requests and near-term developer pain against long-term architectural investment, with support from the Director of Platform Engineering and the CTO Set the technical direction for the Core Platform team and break the north star architecture into projects the team ships quarter by quarter Run the team's delivery: planning, refinement, and the sprint cadence, with epics scoped to clear milestones and target dates Architect the federated GraphQL supergraph and govern its schema, including subgraph onboarding standards, contract enforcement, and caching and persisted query posture Build authentication and authorization for the platform, including agent identity: scoped, short-lived, audited credentials for non-human principals Design, build, and operate the centralized event substrate, including schema governance, dead-letter conventions, and the producer and consumer patterns that make async the default integration path between services Guide the technical execution of our strangler-fig migration through to cutover, working with product squads as they move onto the new platform Deliver the real-time world model state layer: the stream processing that turns events into state, and the live, low-latency state graph that services and agents query Facilitate the Architecture Advice Guild rituals and provide technical direction on architecture decision records for cross-team decisions and standards Raise the bar for spec writing and agent orchestration on the team, and review specs and agent output with the same rigor you would apply to a senior engineer's work Keep the platform services the team operates reliable: SLOs, monitor-gated deploys, incident leadership, and a seat in the on-call rotation Drive the technical evaluation for procurement and renewals of our critical platform vendors: evaluations, proofs of concept, usage and cost data, and build versus buy recommendations, partnering with the Director who owns the commercial side Mentor Staff and Senior engineers toward larger scope Requirements 10+ years of software engineering experience, including ownership of platform or distributed systems architecture at company scale. You have designed, operated, and evolved systems that other teams build on Hands-on experience with GraphQL federation at scale and with event streaming systems such as Kafka, covering design, schema governance, and production operation rather than just consumption Experience with skills, MCPs, harnesses, agentic tooling ecosystems, or agent orchestration for software development A track record of technical leadership without people authority. You have aligned multiple teams behind architectural outcomes and developed senior engineers Experience owning a team roadmap: intake, prioritization, and delivery planning alongside the architecture work You build with AI agents as part of your daily work. You write specs agents can implement, run agents for real delivery, and know where agent output needs human judgment Proficiency in the stack we run: TypeScript and/or Python services, Postgres, and AWS managed primitives Comfort operating production critical-path systems, including on-call, in a regulated environment Clear, direct communication with engineers, leadership, clinicians, and compliance This role requires 4 days per week in our NYC office. Nice to Haves Real-time stream processing (Flink, Spark, KsqlDB, or similar) and graph databases (Memgraph, Neo4j, Amazon Neptune, Dgraph, or similar) Healthcare data standards (FHIR, HL7v2) and engineering in a HIPAA-regulated environment Time as a people manager for senior or staff level engineers A strangler-fig migration or large platform cutover you have led Prior work on a platform engineering team Fluency with domain-driven design or event storming Benefits Charlie Health is pleased to offer comprehensive benefits to all full-time, exempt employees. Read more about our benefits here. The total target base compensation for this role will be between $225,000 and $325,000 per year at the commencement of employment. Please note, pay will be determined on an individualized basis and will be impacted by location, experience, expertise, internal pay equity, and other relevant business considerations. Further, cash compensation is only part of the total compensation package, which, depending on the position, may include stock options and other Charlie Health-sponsored benefits. Our Values Connection: Care deeply & inspire hope. Congruence: Stay curious & heed the evidence. Commitment: Act with urgency & don't give up. Please do not call our public clinical admissions line in regard to this or any other job posting. Please be cautious of potential recruitment fraud. If you are interested in exploring opportunities at Charlie Health, please go directly to our Careers Page: -openings. Charlie Health will never ask you to pay a fee or download software as part of the interview process with our company. In addition, Charlie Health will not ask for your personal banking information until you have signed an offer of employment and completed onboarding paperwork that is provided by our People Operations team. All communications with Charlie Health Talent and People Operations professionals will only be sent email addresses. Legitimate emails will never originate from or other commercial email services. Recruiting agencies, please do not submit unsolicited referrals for this or any open role. We have a roster of agencies with whom we partner, and we will not pay any fee associated with unsolicited referrals. At Charlie Health, we value being an Equal Opportunity Employer. We strive to cultivate an environment where individuals can be their authentic selves. Being an Equal Opportunity Employer means every member of our team feels as though they are supported and belong. We value diverse perspectives to help us provide essential mental health and substance use disorder treatments to all young people. Charlie Health applicants are assessed solely on their qualifications for the role, without regard to disability or need for accommodation. 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Job Description Job Description Company Overview: Over the past 15 years, eTel has delivered essential solutions for the federal government by securing and managing data, providing scalable identity access, modernizing legacy systems, and building high-performance platforms. By integrating new technologies and ensuring reliable operations we help agencies stay prepared for future challenges As a premier technology solutions and services company to the US federal government, eTel possesses longstanding relationships across the federal civilian marketplace. Other customers include the broader Treasury Department, Commerce Department, and State Department. eTel offers integrated CMMI Level 3 processes, tools, and techniques with innovative, cost-efficient, and secure solutions to address complex challenges. eTel also holds ISO 9001:2015, ISO/IEC 27001:2013, and ISO/IEC 20000-1:2018 certifications, and offers dedicated subject matter experts (SMEs) and thought leaders that possess a deep understanding of customers' environments and challenges. Work Location and On-Site/Telework Requirements: Hybrid - NIH, Bethesda, MD. On site for workshops and pilots (typically 1-2 days/week during the first 120 days, then as scheduled). Citizenship: U.S. Citizenship required Clearance: All staff must obtain NIH suitability and a PIV credential and be fluent in English. Anyone doing risk or vulnerability testing needs a current T2 (BI) or higher investigation. Salary Range: $130,000-$140,000 yearly salary Overview : You will co-author the cloud, network, and identity design patterns behind NIH's Future State ZTA under the NIH Governance, Risk & Compliance (GRC) Zero Trust Architecture (ZTA) Support Services task order for the NIH Office of the Chief Information Officer (OCIO). You will work in the Architecture Pod on Tasks 2, 3, and 4. This is a design and advisory role: you will produce reference architectures, patterns, and control mappings for NIH teams to implement, not operate NIH production systems. Deep hands-on engineering experience is still essential. Responsibilities : Co-author the cloud, on-premises, and hybrid reference architectures (Subtask 2.2) with the Senior ZT Architect, as reusable design patterns with NIST SP 800-53 Rev 5 control mappings. Design microsegmentation and workload-identity patterns (NIST SP 800-207A, CISA and NSA Zero Trust guidance), software-defined perimeter for HPC clusters, and isolated VLANs with brokered remote access for laboratory instruments. Document how centrally provided network, endpoint, and logging services are inherited, as input to the Centrally Provided Services Matrix. Define technical policy anchors for the network and device pillars (segmentation policy in the controller, compliance policy in endpoint management). Map controls to telemetry so continuous-monitoring evidence is collected rather than written by hand. Support Task 3 network use cases: flow baselining to generate and validate microsegmentation policy, and lateral-movement anomaly detection. Support the Task 4 gap assessment for the network, device, and cloud pillars, and the evidence expectations in the ZTA Overlay. Validate patterns with IC engineering teams (CIT, HPC, and clinical platform owners). Tools & Technology Environment : AWS and Azure (including GovCloud), cloud-native IAM and CSPM; SSE/ZTNA (e.g., Zscaler, Palo Alto); microsegmentation platforms (e.g., Illumio); Palo Alto/Fortinet/Cisco firewalls; Microsoft Defender, CrowdStrike, Forescout; Splunk/Microsoft Sentinel; Terraform/IaC; Git. Required Qualifications : Bachelor's degree plus 7+ years of network and/or cloud security engineering. Hands-on experience with identity-aware access, microsegmentation, and cloud security patterns in enterprise environments. Experience with firewalls, SSE/ZTNA, and native AWS or Azure security services. Security+ or a higher security certification. Ability to obtain an NIH suitability determination and PIV credential; fluent in English. Preferred Qualifications : A cloud security certification (AWS Security Specialty, AZ-500, or CCSP); PCNSE or CCNP Security. Experience in FedRAMP-authorized or GovCloud environments. Experience with research networks, HPC (Linux/Slurm), or operational technology/IoT device segmentation. Infrastructure-as-code (Terraform, CloudFormation) and experience writing security patterns as code. Current National Institutes of Health (NIH) or U.S. Department of Health and Human Services (HHS) experience is highly preferred. Commitment to Diversity - eTelligent Group provides equal employment opportunities (EEO) to all applicants without regard to race, color, religion, gender, sexual orientation, gender identity, nations origin, age, disability, genetic information, marital status, amnesty, status as a covered veteran, and any other characteristic provided in accordance with applicable, federal, state and local laws.

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?