28 jobs found

Job Description Job Description Why Keyrus, Why Now! Keyrus is an international group of 3,000 experts across 30 countries, built on a single conviction: AI does not transform businesses. Architected intelligence does. For more than 30 years, we have helped organizations build the data foundations that power intelligent systems. Today, we go further by designing and operationalizing intelligence that delivers measurable business value. Building AI capabilities is only part of the challenge. Real transformation happens when those capabilities work within existing business systems, data environments, workflows, and processes. At Keyrus, you'll work closely with clients to turn AI opportunities into production-ready solutions, connecting engineering expertise with real business needs. Technology amplifies. Keyrus culture differentiates. Industrial discipline connects the two. Role details • Location: United States (Remote) • Contract: Permanent, full-time What you'll architect As a Forward Deployed AI Engineer, you'll work directly with clients to take AI solutions from technical discovery through implementation, deployment, and adoption. You'll combine hands-on software engineering, enterprise integrations, cloud technologies, and AI capabilities to deliver solutions that work in real client environments. Your focus goes beyond writing code. You'll understand client challenges, define implementation plans, coordinate technical teams, and deliver measurable business results. Your responsibilities • Lead technical discovery with clients to understand their systems, data, workflows, and integration requirements. • Translate business needs and approved architectures into practical implementation plans. • Develop production-ready solutions integrating APIs, enterprise applications, cloud services, data platforms, and AI technologies. • Collaborate with AI Engineers, Architects, and Data Engineers to resolve technical challenges and deliver integrated solutions. • Own technical deployment and rollout within the agreed scope, ensuring reliable production performance. • Work closely with client teams to troubleshoot issues, support adoption, and improve implemented solutions. • Monitor performance, costs, and business outcomes while documenting reusable engineering practices. • Turn successful implementations into reusable Keyrus assets, including integration patterns, deployment practices, technical documentation, and implementation guidance for future engagements. Who you are You are a hands-on engineer with a strong consulting mindset who enjoys solving complex business and technical challenges. You develop production-quality code, understand enterprise integrations, and adapt solutions to real-world constraints. You are comfortable working directly with clients, managing evolving requirements, and taking ownership of technical delivery. You combine strong engineering skills with excellent communication, problem-solving, and collaboration. What you bring Experience • 5+ years of professional experience in software engineering, cloud engineering, enterprise integration, or related technical delivery roles. • Hands-on experience developing, integrating, and deploying production software or AI-enabled solutions. • Experience building and maintaining backend services, APIs, and enterprise integrations. • Experience working with cloud platforms, deployment processes, and production environments. • Ability to translate business requirements into technical implementation plans. • Strong client-facing consulting experience, including communicating technical decisions and working with business stakeholders. Technical skills • Strong programming skills in Python, TypeScript/JavaScript, Java, C#, or similar languages. • Experience with REST APIs, backend services, authentication, and enterprise integrations. • Hands-on experience with AWS, Azure, or Google Cloud. • Knowledge of Git, CI/CD, testing, containers, and production monitoring. • Familiarity with LLM APIs, RAG, AI agents, and GenAI application integration. • Understanding of application security, system reliability, and cloud deployment practices. Nice to have • Experience developing production GenAI applications or agentic workflows. • Familiarity with LangGraph, MCP, OpenAI, Anthropic, or similar technologies. • Experience with Kubernetes, Docker, or infrastructure as code. • Background in backend, full-stack, data, or cloud engineering. • Experience delivering solutions in regulated or complex enterprise environments. • Previous experience in consulting, professional services, or client-embedded engineering roles. What makes you successful • You turn complex challenges into practical solutions. • You take ownership of technical delivery and integration. • You communicate clearly and collaborate effectively with clients and teams. • You deliver reliable solutions that create measurable business value. WHAT WE OFFER (KUS) A stimulating environment where you will be able to surpass yourself and discover new horizons. A strong culture of innovation and entrepreneurship. Health insurance for you and your family members. 401K plan. Monthly Wellness Allowance. 4 weeks of paid vacation; Language courses (French & English) Access to continuing education (in-house, conferences, events, courses, certifications, etc.) The expected base compensation for this position ranges from $135,000 to $155,000 USD, depending on experience, skills, location, and internal equity. This salary range is provided as a guideline and may be adjusted for the selected candidate. About Keyrus At Keyrus, we help organizations move from experimental to industrialized AI, from isolated agents to orchestrated systems, and from insight to execution. As Architects of Intelligence, we design the Operating System of the intelligent enterprise, embedding intelligence into business processes so that it creates sustainable, measurable value. Powered by our proprietary Human Orchestrated Model (HOM), we architect reliable: • Intelligence Foundations • Human in Command governance • Performance Steering With over 30 years of expertise and 3,000 experts across 30 countries, we build adaptive, resilient intelligent environments where technology amplifies human capability and performance compounds over time. AI does not transform businesses. Architected intelligence does. For more information:

Job Description Job Description Top-of-market comp. $180K$300K base plus meaningful founding-team equity at a 30-person company that's just getting started. VERY FAST INTERVIEW PROCESS and WILLINGNESS TO MOVE QUICK Open to SWE, FDE, Product Eng, Implementations Eng with VC-backed pedigree who has experience scaling enterprise deployments Extreme ownership from day one. You work directly with enterprise customers and ship end-to-end AI automations that show up immediately in their workflows no bureaucracy, no hand-holding. Why candidates should join Rocket-ship traction.Client hit multiple seven figures in ARR in just over a year and already serves 30% of the top 50 insurance brokers in the country. Fresh $25M Series A.Backed by CRV, South Park Commons and Foundation Capital strong institutional names with deep enterprise software conviction. Extreme ownership from day one.You work directly with enterprise customers and ship end-to-end AI automations that show up immediately in their workflows no bureaucracy, no hand-holding. Top-of-market comp.$180K$300K base plus meaningful founding-team equity at a 30-person company that's just getting started. Staff-level team pedigree.You're joining ex-Affirm, Uber, DoorDash and McKinsey operators in-person in San Francisco the kind of team that moves fast and builds things that matter. Dealbreaker Work experience Customer-facing engineering experience on post-sales sidescoping problems, building solutions, and shipping within the same week VC-backed startup pedigree experience at a company that raised Series A+ from a top-tier VC Hard skills Proficient in Python and/or TypeScript Baseline Seniority 3 - 6 years of experience in software engineering, forward deployed, solutions, implementation or product engineering role is 70% coding (mix of customer-facing builds and platform work) and 30% customer-facing scoping and requirements gathering Work experience Experience scaling enterprise deployments building and shipping multiple product features or automations for large customers Education Degree from a top university Ivies, Stanford, MIT, Berkeley, Duke, Harvey Mudd, Claremont McKenna, UIUC, or equivalent strongly preferred Soft skills Comfortable context-switching between customer-facing communication and heads-down coding Miscellaneous On-site 5 days/week in San Francisco Work experience Built or deployed AI/ML automations or agentic workflows in a production environment Hard skills Experience building or integrating LLM/AI automation pipelines (e.g. OpenAI, LangChain, or similar) Traits to avoid Candidates with only large-company experience, no startup exposure or software consulting backgrounds SWEs-turned-FDEs looking to return to pure SWE (no direct customer interaction experience) Job hoppers 3+ jobs in 3 years for early-career candidates is a red flag International candidates without substantive US work experience About this role This is a hands-on, customer-facing engineering role at the intersection of AI, product, and implementation. You'll work directly with some of the largest insurance brokerages in the countryunderstanding their workflows, building AI automations on Client's platform, and shipping solutions within days, not months. The role is 70% coding and 30% customer-facing scoping. You'll hop on a call with a customer to understand their problem, then build and deploy an agent that solves itoften in the same week. Everything you build feeds back into the platform, so your work scales beyond a single customer. You won't be doing pre-sales, demos, or upsellingdeployment strategists handle that. Your job is to deeply understand the business domain and build. This role is ideal for engineers who thrive at the intersection of customer empathy and technical execution, and who want to work on cutting-edge AI agents transforming a $1.5 trillion industry that hasn't seen real technology in 20 years. What You Will Do Own end-to-end implementation of enterprise customer engagementsfrom requirements gathering to deployed solution Build and ship AI agents and automations on Client's platform, deepening adoption within our largest strategic accounts Work directly with enterprise customers (post-sales) to understand business problems and scope technical solutions Ship rapidlyexpect to deliver working solutions within the same week as customer conversations Integrate successful customer-specific work back into Client's core platform Collaborate with product and engineering teams to translate customer insights into scalable features About You 36 years of post-college engineering experience, no new grads Customer-facing engineering experiencecomfortable interfacing with enterprise customers regularly Full-stack proficiencycomfortable shipping across front end and back end Experience at a VC-backed startup (Series A+) funded by top-tier VCs Degree from a top university (Ivies, Stanford, MIT, Berkeley, Duke, Harvey Mudd, UIUC, or equivalent) Strong ownership mentalityyou don't wait for process, you create it Bonus Qualifications Experience building or deploying AI/ML automations or agentic workflows in production Proficiency in Python and/or TypeScript Experience in insurance or financial services domain Salary $180K - $300K On-site work policy 5 days in-office in SoMa, San Francisco, CA Full-time position Location SoMa, San Francisco, CA Tech stack Python, TypeScript, AI/ML Automations Equity Competitive equity Visa sponsorship details Open to visa transfers(e.g. OPT, H1B transfers) Hiring Count Looking to hire 2 - 3candidates for this role

Job Description At The ReWork Group, we partner with high-growth startups and forward-thinking companies to build the future. Our client is building a platform where AI doesn't just analyze data; it reasons across it, forecasts what's coming, and acts! As the Senior Radar System Engineer , you know Commercial SAR constellations are throwing off more data than anyone has figured out how to use. Our client is building the algorithms that find what's moving, where, and why it matters. If you want your work flying in production instead of sitting in a paper, keep reading. Most radar talent spends its career one step removed from impact: a detector that works in a notebook, a result that clears review, a model nobody ever puts in front of an operator. We're the opposite. The gap between "interesting" and "operational" is exactly where this role lives, and closing it is the job. What you'll do: Build the detection stack. Design and ship GMTI and change-detection algorithms that turn multi-look SAR returns into moving-target tracks, in production, on a live constellation. Own the pipeline end to end. From raw phase history and complex imagery through detection, geolocation, and track association. No throwing prototypes over the wall to a separate "productionization" team; you carry it all the way. Fuse across the constellation. Exploit multi-pass, multi-sensor, and multi-modal data to knock down false alarms and hold tracks through gaps and revisit windows. Close the loop on real signals. Validate against ground truth, tune for clutter and terrain, and measure yourself on operational accuracy rather than benchmark scores. Ship fast, then harden. Get a working detector in front of users in weeks, then push latency, throughput, and reliability until an operator can trust it without thinking about it. Who you are: You've lived in the signal. SAR, radar signal processing, or a close cousin (RF, sonar, seismic, EO/IR). You know complex-valued data is not just "images." You ship production code , not just research artifacts. Python plus C++, CUDA, or the equivalent when performance demands it. You've owned something real. You've had code in production and felt the consequences when it broke, or you're hungry to. You optimize for the field, not the reviewer. Whether the thing works where it's deployed matters more to you than whether it would survive peer review. Bonus points for GMTI or STAP, Kalman or particle filtering, deep learning on radar data, or eligibility for a security clearance.

Job Description Job Description About Stuut Stuut is the AI coworker that runs order-to-cash for the world's leading enterprises. Across order management, credit, collections, payments, cash application, disputes and deductions, Stuut does the work end to end and keeps going until the cash hits the bank. Over 150 companies, spanning the mid-market to the Fortune 50, including Honeywell, ZoomInfo and PerkinElmer, use Stuut to unlock up to 40% more cash flow and cut DSO by 47%. More than $3 billion has moved through the platform to date. Founded in New York by Tarek Alaruri and Ben Winter, Stuut has raised $93 million from Insight Partners, Andreessen Horowitz, M12, Microsoft's Venture Fund, and others. Learn more at stuut.ai. The Role We're hiring a Forward Deployed Engineer to work directly with our customers-bringing technical expertise, problem-solving skills, and a builder's mindset to every engagement. You'll own onboarding and implementation for new customers, integrate Stuut with their ERP and workflow systems, and deliver custom solutions that drive measurable results. This is a high-impact role for someone who can write production-quality code, communicate with both executives and engineers, and thrive in the field. You'll act as the bridge between customer needs and Stuut's platform, ensuring each deployment delivers real value while helping shape the future of our product. What You'll Do Lead Implementations: Manage onboarding from setup through integration and launch for new customers. Integrate & Automate: Own integrations with platforms like Netsuite, SAP, Salesforce, and other ERPs; write scripts, build automations, and develop custom solutions as needed. Collaborate Cross-Functionally: Work with Sales and Customer Success to deliver a seamless technical customer journey. Drive Process Improvements: Identify and fix inefficiencies in our deployment workflows. Influence the Product: Provide real-world feedback to the product team to help shape the roadmap. Support Scale: Build technical documentation and internal tools to make customer deployment faster and easier. Be in the Field: Travel to client sites to meet customers, deploy solutions, and build relationships. You Might Be a Fit If You Have 3+ years in a technical customer-facing role (e.g., Solutions Engineer, Implementations Engineer, FDE). Are fluent in Python and skilled with modern integration technologies (APIs, ETL/ELT, enterprise auth). Take ownership and have a bias toward building and improving. Have experience working with sales teams in both pre- and post-sales contexts. Have worked in startups or high-growth environments. (Nice to Have) Experience with AI/ML-powered automation, fintech integrations, developer tools, cloud platforms, or containerization. US Compensation Top-of-market salary and equity package Benefits (for U.S.-based full-time employees) Medical, dental & vision insurance coverage for you 401(k) & Match Equity Flexible PTO Parental Leave Stuut is an equal opportunity employer committed to building a team with diverse backgrounds, perspectives, and experiences. We do not discriminate based on race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, genetic information, or any other characteristic protected by applicable law. We are also committed to providing reasonable accommodations throughout the application and interview process. If you need any accommodations, please do not hesitate to reach out. Compensation Range: $150K - $240K

Job Description Job Description: Job Description Role: Forward Deployed Engineer (FDE) - Agentic AI , Americas Role Type: Client-facing, hands-on engineering + solutioning (pre-sales through early delivery) Location: Major US hub (e.g., New York, Bay Area, Dallas, Chicago - flexible for the right candidate). Travel Expected. Level: Manager/Principal/Senior Principal Business Unit: (Enterprise AI Platforms & Agentic Solutions). Reporting to: Artificial Intelligence Leader, North America. About Company: Global technology consulting and digital solutions company that enables enterprises across industries to reimagine how they operate, compete, and grow. By combining deep domain knowledge, advanced engineering, and transformation expertise, delivers measurable business impact at scale. Enterprise AI business unit, purpose built to help organizations move beyond pilots into scaled, product iongrade AI adoption, functional consulting, an AI Foundry, and agentic AI platforms to deliver integrated solutions that transform how work gets done across the enterprise.Operating across Banking, Insurance, Manufacturing, Retail/CPG, Energy & Utilities, Travel & Hospitality, HiTech, and Media, works closely with industry GTM teams to create repeatable AI solutions, accelerators, and transformation programs aligned to real business outcomes. Role summary Building and scaling enterprise grade GenAI + Agentic AI capabilities (Foundry, orchestration, governance/AgentOp, accelerators, and verticalized agents) across Fortune 2000 clients. As a Forward Deployed Engineer (FDE), you will operate at the intersection of executive problem framing, rapid engineering, and scalable architecture. You will engage directly with client CXOs and ssseni or leaders to identify a highvalue wedge, build a working proof in weeks, and translate that into a clear path toward MVP and scaled rollout on or nay hyper-scaler platforms. You will be embedded in deals and client journeys-shipping real agentic systems, not slides. Key Responsibilities 1) Executive-facing discovery & value shaping Partner with Sales, Client Partners, and leaders to run CXO-level working sessions that translate business pain into an Outcome Thesis (KPI tree, baseline, uplift hypothesis, operating constraints). Identify the right "thin-slice" wedge for a rapid Proof of Value (PoV): high signal, measurable, low dependency, enterprise-relevant. Communicate trade-offs clearly: what to automate vs assist, where human-in-the-loop is required, and what "safe scale" entails. 2) Rapid Proof of Value engineering Build a rapid PoV that demonstrates business impact + technical feasibility trustworthiness Implement agent workflowswith tooluse, integration to enterprise systems, and lightweight UI/experience for stakeholder clarity. Create initial evaluation harness (task success, accuracy, policy compliance, tool-call success, latency/cost) and capture baseline vs PoV lift. 3) Agentic blueprint & path-to-scale handoff Produce a scalable Agentic Blueprint: agent roles, orchestration patterns, tools/APIs, data/knowledge strategy, guardrails, observability, and HIL escalation. Define MVP backlog and architecture decisions: identity/access, audit, logging, fallback design, policy boundaries, and deployment model. Hand off cleanly to delivery teams (MVP squads / pods) with a production-ready plan. 4) Solution architecture + client ecosystem Design solutions using constructs or hyper scaler Agentic AI foundations (Foundry, knowledge fabric/RAG patterns, agent orchestration, governance, observability/AgentOps Deploy across hyperscalers (AWS/Azure/GCP) and/or client environments; integrate with enterprise apps (e.g., ServiceNow, Salesforce, SAP, Microsoft stack). Ensure alignment with enterprise security, privacy, and compliance requirements. 5) Deal acceleration & differentiation Serve as a technical "closer" in competitive pursuits: demos, workshops, architecture deep dives, and technical validation. Create reusable accelerators: prompt packs, workflow templates, connectors, eval suites, reference architectures-so future PoVs become faster and repeatable. Contribute to thought leadership and field playbooks (industry use cases, POV patterns, autonomy ladder constructs, commercial hooks). What success looks like (12-month outcomes) Time-to-first-value: PoVs that reliably land in weeks with measurable outcomes. Conversion: Strong PoV to MVP conversion rate (and clear roadmap to scale). Executive confidence: CXO trust built through crisp narratives + working systems. Reusable assets: Field-ready accelerators that reduce PoV cycle time quarter over quarter. Scalability: PoVs designed with production realities in mind (security, observability, cost, controls). Required Qualifications 8+ years of experience in full-stack engineering / solution architecture / technical consulting, with significant client-facing delivery. Demonstrated ability to build quickly under ambiguity and still maintain sound architecture instincts. Strong experience with modern AI stacks, including: LLMs / agent patterns: orchestration, tool-calling, planning/execution loops, memory patterns RAG & knowledge: embedding strategies, chunking, vector databases, retrieval evaluation Evaluation: offline + online evals, regression suites, safety tests/red-teaming basics Strong software engineering fundamentals: APIs, data pipelines, integration, distributed systems basics. Proficiency in Python + one of (TypeScript/Java/Go); comfortable across frontend + backend as needed. Cloud-native experience (AWS/Azure/GCP), containers, CI/CD, and observability fundamentals. Exceptional communication: can translate technical complexity into business impact for senior stakeholders. Preferred Qualifications Proven delivery of GenAI/agentic solutions in production (not only prototypes). Experience integrating with enterprise platforms: ServiceNow, Salesforce, SAP, Microsoft (Graph/O365), Databricks/Snowflake, etc. Experience with security & governance for GenAI: data boundaries, access control, auditability, model risk, compliance evidence. Familiarity with LLMOps/AgentOps concepts: versioning, telemetry, drift monitoring, cost governance (FinOps). Domain depth in one or more focus verticals (Travel/Transportation/Hospitality, Retail/CPG, BFSI, Manufacturing, Media). Relevant certifications (cloud, security, data) are a plus. Core competencies (what distinguishes top performers) Executive presence: credible with CXOs; can run a room and drive decisions. Structured problem framing: quickly identifies the highest-leverage wedge and measurement plan. Builder mindset: ships working systems rapidly; demos are grounded in real integrations. Judgment & trust: knows where agents must be constrained; designs for safe autonomy. Repeatability: turns one-off wins into reusable playbooks and accelerators. Working model Travel: expected (client workshops, PoVs, exec meetings). Operates in tight pods with Sales, Industry leaders, BlueVerse product/platform teams, and delivery squads. Strong bias toward hands-on building (this role is not purely advisory). Benefits Comprehensive Medical Plan Covering Medical, Dental, Vision Short Term and Long-Term Disability Coverage 401(k) Plan with Company match Life Insurance Vacation Time, Sick Leave, Paid Holidays Paid Paternity and Maternity Leave Additional Information All your information will be kept confidential according to EEO guidelines.

Job Description Job Description About Stuut Stuut is the AI coworker that runs order-to-cash for the world's leading enterprises. Across order management, credit, collections, payments, cash application, disputes and deductions, Stuut does the work end to end and keeps going until the cash hits the bank. Over 150 companies, spanning the mid-market to the Fortune 50, including Honeywell, ZoomInfo and PerkinElmer, use Stuut to unlock up to 40% more cash flow and cut DSO by 47%. More than $3 billion has moved through the platform to date. Founded in New York by Tarek Alaruri and Ben Winter, Stuut has raised $93 million from Insight Partners, Andreessen Horowitz, M12, Microsoft's Venture Fund, and others. Learn more at stuut.ai. The Role We're hiring a Forward Deployed Engineer to work directly with our customers-bringing technical expertise, problem-solving skills, and a builder's mindset to every engagement. You'll own onboarding and implementation for new customers, integrate Stuut with their ERP and workflow systems, and deliver custom solutions that drive measurable results. This is a high-impact role for someone who can write production-quality code, communicate with both executives and engineers, and thrive in the field. You'll act as the bridge between customer needs and Stuut's platform, ensuring each deployment delivers real value while helping shape the future of our product. What You'll Do Lead Implementations: Manage onboarding from setup through integration and launch for new customers. Integrate & Automate: Own integrations with platforms like Netsuite, SAP, Salesforce, and other ERPs; write scripts, build automations, and develop custom solutions as needed. Collaborate Cross-Functionally: Work with Sales and Customer Success to deliver a seamless technical customer journey. Drive Process Improvements: Identify and fix inefficiencies in our deployment workflows. Influence the Product: Provide real-world feedback to the product team to help shape the roadmap. Support Scale: Build technical documentation and internal tools to make customer deployment faster and easier. Be in the Field: Travel to client sites to meet customers, deploy solutions, and build relationships. You Might Be a Fit If You Have 3+ years in a technical customer-facing role (e.g., Solutions Engineer, Implementations Engineer, FDE). Are fluent in Python and skilled with modern integration technologies (APIs, ETL/ELT, enterprise auth). Take ownership and have a bias toward building and improving. Have experience working with sales teams in both pre- and post-sales contexts. Have worked in startups or high-growth environments. (Nice to Have) Experience with AI/ML-powered automation, fintech integrations, developer tools, cloud platforms, or containerization. US Compensation Top-of-market salary and equity package Benefits (for U.S.-based full-time employees) Medical, dental & vision insurance coverage for you 401(k) & Match Equity Flexible PTO Parental Leave Stuut is an equal opportunity employer committed to building a team with diverse backgrounds, perspectives, and experiences. We do not discriminate based on race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, genetic information, or any other characteristic protected by applicable law. We are also committed to providing reasonable accommodations throughout the application and interview process. If you need any accommodations, please do not hesitate to reach out. Compensation Range: $150K - $240K

Job Description Job Description FieldAI's Irvine team is where embodied AI meets real robots, real sensors, and real field deployments. Based in the heart of Southern California's robotics ecosystem, we build risk-aware, reliable, field-ready AI systems that solve the hardest problems in robotics and unlock the full potential of embodied intelligence. If you want your work to ship, get tested on hardware, and improve through real deployments, Irvine is the place. We go beyond typical data-driven approaches or pure transformer-only architectures, combining rigorous engineering with learning systems proven in globally deployed solutions that deliver results today and get better every time our robots run in the field. About This Role As an Automation Engineer at FieldAI , you will work closely with our deployed robot fleet to improve reliability and performance across real-world sites. You'll sit at the intersection of robotics, machine learning, and field operations , owning the triage and resolution of issues across autonomy. A key part of the role is helping run our ML flywheel : identifying and prioritizing failure modes, curating and labeling data, working with modeling teams to improve models, and partnering with deployment teams to validate and ship those improvements. You'll also have hands-on ML responsibilities, including building datasets, evaluating models, and training or fine-tuning models for new failure modes or site-specific use cases when needed. This role is ideal for someone who enjoys solving real-world problems, working across teams, and seeing their work directly improve autonomous robots in production. What You'll Get To Do . Site Performance & Failure Triage Own day-to-day triage of issues across deployed sites and identify the highest-impact failure modes. Analyze robot behavior, logs, telemetry, and model outputs to diagnose issues across perception, prediction, and planning. Track failure modes and drive issues through resolution, with a focus on consistently improving site performance. 2. ML Flywheel & Continuous Improvement Work with data/labeling, modeling, and deployment teams to turn field failures into actionable data and model improvements. Build and maintain datasets and evaluation sets for new failure modes and site-specific use cases. Measure improvements in production and ensure fixes are validated and generalized across sites. 3. Hands-on ML & Modeling Train, fine-tune, and evaluate ML models when required to address new failure modes or site-specific challenges. Experiment with data, model, and inference changes across perception, prediction, and learned planning. Help identify whether a problem is best addressed through data, labeling, modeling, or system/deployment changes. 4. Deployment & Site Support Partner with deployment and robotics engineers to integrate and validate model and system improvements on robots. Support new use cases and customer requirements from development through production deployment. Help maintain reliable operation and rapidly burn down issues across deployed sites. What You Have Bachelor's or Master's degree in Computer Science, Robotics, AI, or a related field. Strong Python and experience with modern ML frameworks such as PyTorch. Experience training, fine-tuning, and evaluating machine learning models. Strong debugging and problem-solving skills, with the ability to work across ML and robotics systems. Experience with C++ and production ML/robotics systems. Understanding of ML data pipelines, labeling, evaluation, and model deployment. Interest or experience in robotics, autonomous systems, perception, prediction, or planning. Ability to work effectively across modeling, data/labeling, and deployment teams. What Sets you Apart Experience working with real-world robotics, autonomous vehicles, or other deployed ML systems. Experience working with perception, prediction, planning, or learned navigation models. Experience diagnosing model failures and driving iterative improvements from production data. Our salary range is generous and we consider each individual's background and experience when determining final compensation. Base pay may vary based on role scope, job-related knowledge, skills, experience, and the Irvine, California market. Why Join FieldAI in Irvine? In Irvine, you will work where the robots are. Our local team builds and tests systems on real hardware with real sensors, then ships them to operate in unstructured, previously unknown environments around the world. We are solving one of robotics' hardest challenges: reliable deployment outside the lab. Our Field Foundational Models raise the bar for perception, planning, localization, and manipulation, with an emphasis on explainability and safety for real-world use. You will collaborate with a world-class team that thrives on creativity, resilience, and bold thinking. We bring deep experience from organizations such as DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise, Zoox, Toyota Research Institute, and SpaceX, along with a track record of field deployments and strong performance in DARPA challenge segments. Be Part of the Next Robotics Revolution We are looking for builders who want their work to leave the whiteboard and show up on robots. If you enjoy tackling tough, uncharted questions and working across disciplines, you will find your people here. Our teams span AI, software, robotics engineering, product, field deployment, and technical communication, all focused on shipping systems that perform in the real world. Our headquarters is in Irvine, and we partner closely with teams there as well as colleagues across the US and around the world. Join us in Southern California and help define what dependable, field-ready autonomy looks like. We value diverse perspectives and are committed to fostering an inclusive workplace. We evaluate candidates and employees based on merit, qualifications, and performance, and we do not discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, or any other legally protected status. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Job Description 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 Join Pigment: The AI Platform Redefining Business Planning Pigment is the AI-powered business planning and performance management platform built for agility and scale. We connect people, data, and processes in one intuitive, feature-rich solution, empowering every team-from Finance to HR-to build, adapt, and align strategic plans in real time. Founded in 2019, Pigment is one of the fastest-growing SaaS companies globally. Industry leaders like Unilever, Snowflake, Siemens, and DPD use Pigment daily to make more informed decisions and confidently navigate any scenario. With a team of 600+ across Paris, London, New York, Toronto, San Francisco and Austin, we've raised nearly $400M from top-tier investors and were named a Visionary in the 2024 Gartner Magic Quadrant for Financial Planning Software. At Pigment, we take smart risks, celebrate bold ideas, and challenge the status quo-all while working as one team. If you're driven by innovation and ready to make an impact at scale, we'd love to hear from you. What you'll do We are looking for an AI Deployment Strategist to join our growing team. In this role, you will work directly with customers to design, build, and deploy AI-powered planning solutions using Pigment. This is a highly cross-functional role at the intersection of engineering, data, and business problem-solving. You will own the end-to-end implementation of Pigment's AI capabilities for strategic customers - from translating business problems into models, to deploying agentic AI solutions in production. You will play a key role in shaping how organizations leverage Pigment to transform their planning processes, while acting as a critical feedback loop between customers and our Product and Engineering teams. What you'll work onBuild & deploy AI-powered solutions Translate complex business problems into scalable Pigment models using AI agents, formulas, dimensions, and advanced logic Design, build, and deploy custom AI agents tailored to customer workflows and decision-making processes Own end-to-end implementation of Pigment for key customers Work directly with customers Partner with business and technical stakeholders to rethink processes and design AI-driven solutions Act as a trusted advisor, guiding customers on best practices Drive adoption and ensure customers maximize value from Pigment Prototype & innovate Develop prototypes and experimental AI use cases to solve emerging customer needs Test and iterate on new approaches to agent-based planning and automation Bridge product, engineering, and customers Collaborate closely with Customer Success, Solutions Architects, and Product teams Translate customer feedback into clear product requirements and specifications Contribute to the evolution of Pigment's AI capabilities Enable and scale Train users and teams on Pigment features, modeling best practices, and scalable system design Help define repeatable patterns and frameworks for AI deployments across customers What we're looking forRequired Engineering or computer science degree from top tier institution 2-5 years in a technical, client-facing, or implementation role, such as: Forward Deployed Engineer Data Scientist / AI Engineer Solutions Architect / Solutions Engineer Technical or Implementation Consultant Strong analytical and problem-solving skills with experience in: Data modeling, analytics, or business logic design AI / ML concepts or applied data workflows Proficiency with: Formulas, logic, and structured modeling Programming (Python, SQL, or similar is a plus) Familiarity with: SaaS platforms or planning tools APIs, data pipelines, and system integration concepts Ability to manage multiple stakeholders and projects in fast-paced environments Nice to have Background in FP&A, financial modeling, or business planning workflows Prior experience with Pigment or similar platforms Additional European language(s) outside of English What success looks like Customers successfully deploy and adopt AI-powered planning workflows Innovative agentic AI solutions are built and scaled across use cases You are seen as a trusted technical partner by customers Strong feedback loops drive continuous product improvement Repeatable patterns emerge to scale AI deployments across Pigment customers We conduct background checks as part of our hiring process, in accordance with applicable laws and regulations in the countries where we operate. This may include verification of employment history, education, and, where legally permitted, criminal records. Any checks will be conducted lawfully prior to formal employment contracts being signed, with candidate consent, and information will be treated confidentially. Pigment is an equal opportunity employer. We believe diversity is a strength and fosters innovation. We are committed to enabling everyone to feel included and valued at the workplace. All qualified applicants will receive consideration for employment without regard to age, color, family, gender identity, marital status, national origin, physical or mental disability, sex (including pregnancy), sexual orientation, social origin, or any other characteristic protected by applicable laws. We may process your personal data in accordance with our HR Data Protection Notice . 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 Knightscope Knightscope (NASDAQ: KSCP) is a security technology company building the nation's first Autonomous Security Force - autonomous machines, AI-driven software, and elite security professionals operating as one integrated managed service. The Company is on a mission to make the United States of America the safest country in the world. One Team. One Force. Job Summary The Forward Deployed Engineer is the technical operator embedded at client sites and inside the deal - surveying terrain, engineering deployments, integrating with client systems, and making autonomous security work in the real world. You own problems end to end across hardware, software, and networking, and drive field learnings back into engineering. Location: ONSITE - Sunnyvale, CA HQ About the Role The Forward Deployed Engineer works with the Mission Advisor and the client where the Force meets the ground. You are the technical operator embedded at the client site and inside the deal - surveying the terrain, engineering the deployment, integrating with the client's systems, and making autonomous security work in the real world, not on a slide. When something breaks at the seam between hardware, software, network, and client environment, you own it until it is fixed - and you carry what you learned back to engineering so the Force gets better every autonomous hour. Key Responsibilities Conduct site surveys and deployment engineering for autonomous machines and sensing infrastructure - coverage, connectivity, power, terrain, and escalation paths. Commission, configure, and integrate Knightscope technology in client environments - networks, video management systems, access control, and security operations workflows. Partner with Mission Advisors during the sales cycle: technical scoping, site architecture, and proving the deployment works before the client signs. Troubleshoot in the field across hardware, software, and networking - own the problem end to end, no handoffs. Close the loop: document field learnings and drive them back into engineering, product, and operations so every deployment is better than the last. Represent Knightscope on the client's property, in the client's view - held to the same standard as any member of the Force. Required Qualifications 10+ years in sales engineer or technical architect role Engineering degree or equivalent hands-on experience - electrical, computer, mechanical, mechatronics, robotics, or field systems engineering. Strong networking fundamentals: LTE/5G, Wi-Fi, VPN, and the patience to debug connectivity in a parking garage at 2 a.m. Comfort working hardware and software in the same day - scripting, log analysis, diagnostics, and a toolbag. Client-facing composure: you explain technical reality in plain language and bring answers, not problems. Willingness to travel extensively to client sites nationwide. Based in the United States. Preferred: robotics or autonomous systems deployment; physical security systems (VMS, access control, sensors); field service or deployment leadership; experience supporting government or regulated environments. Compensation & Benefits Base Salary: $130,000 - $170,000 (DOE) Equity: Stock options Benefits: Medical, dental, vision, 401(k), paid time off Location Requirement: Full-time, field-based with extensive nationwide travel; anchored to Sunnyvale HQ.

Job Description Job Description SF Bay Area, California Fully On-site Approximately 25% Domestic Travel We are seeking a technical Industrial AI Deployment Engineer - Enterprise Integrations to bring advanced AI systems into production environments for large industrial enterprise customers. The Opportunity This is a hands-on software engineering role combining customer-facing deployment work with direct ownership of integrations, data flows, and AI-enabled workflows. Key Responsibilities Embed with enterprise customers to deploy AI-powered systems into live operational environments. Build and maintain integrations using APIs, webhooks, ETL processes, and enterprise data systems. Integrate with ERP, CMMS, ticketing, knowledge-management, and enterprise service platforms. Work with systems such as SAP, ServiceNow, and related enterprise platforms where required by the customer environment. Build agentic AI and/or retrieval-augmented generation capabilities as part of customer solutions. Translate ambiguous operational requirements into shipped technical solutions. Partner directly with customer engineering and operational teams. Required Qualifications Approximately 1 to 5 years of hands-on software engineering, implementation engineering, solutions engineering, or forward-deployed engineering experience. Demonstrated ability to personally write and ship production code. Experience integrating software with complex customer systems. Hands-on experience with modern AI applications, agentic systems, and/or RAG solutions. Strong customer-facing communication skills combined with technical depth. Willingness to travel domestically approximately 25% of the time. Candidate Profile This opportunity is best suited to engineers who enjoy operating between product development and customer deployment. Pure pre-sales, non-coding consulting, or platform-configuration-only backgrounds are not aligned with the role. Work Arrangement Fully in person in the San Francisco Bay Area, with domestic customer travel as required. Work Authorization Candidates must be able to work in the United States. Certain sponsorship and visa-transfer scenarios may be considered for candidates already located in the United States.

Job Description Job Description Join Pigment: The AI Platform Redefining Business Planning Pigment is the AI-powered business planning and performance management platform built for agility and scale. We connect people, data, and processes in one intuitive, feature-rich solution, empowering every team-from Finance to HR-to build, adapt, and align strategic plans in real time. Founded in 2019, Pigment is one of the fastest-growing SaaS companies globally. Industry leaders like Unilever, Snowflake, Siemens, and DPD use Pigment daily to make more informed decisions and confidently navigate any scenario. With a team of 600+ across Paris, London, New York, Toronto, San Francisco and Austin, we've raised nearly $400M from top-tier investors and were named a Visionary in the 2024 Gartner Magic Quadrant for Financial Planning Software. At Pigment, we take smart risks, celebrate bold ideas, and challenge the status quo-all while working as one team. If you're driven by innovation and ready to make an impact at scale, we'd love to hear from you. What you'll do We are looking for an AI Deployment Strategist to join our growing team. In this role, you will work directly with customers to design, build, and deploy AI-powered planning solutions using Pigment. This is a highly cross-functional role at the intersection of engineering, data, and business problem-solving. You will own the end-to-end implementation of Pigment's AI capabilities for strategic customers - from translating business problems into models, to deploying agentic AI solutions in production. You will play a key role in shaping how organizations leverage Pigment to transform their planning processes, while acting as a critical feedback loop between customers and our Product and Engineering teams. What you'll work onBuild & deploy AI-powered solutions Translate complex business problems into scalable Pigment models using AI agents, formulas, dimensions, and advanced logic Design, build, and deploy custom AI agents tailored to customer workflows and decision-making processes Own end-to-end implementation of Pigment for key customers Work directly with customers Partner with business and technical stakeholders to rethink processes and design AI-driven solutions Act as a trusted advisor, guiding customers on best practices Drive adoption and ensure customers maximize value from Pigment Prototype & innovate Develop prototypes and experimental AI use cases to solve emerging customer needs Test and iterate on new approaches to agent-based planning and automation Bridge product, engineering, and customers Collaborate closely with Customer Success, Solutions Architects, and Product teams Translate customer feedback into clear product requirements and specifications Contribute to the evolution of Pigment's AI capabilities Enable and scale Train users and teams on Pigment features, modeling best practices, and scalable system design Help define repeatable patterns and frameworks for AI deployments across customers What we're looking forRequired Engineering or computer science degree from top tier institution 2-5 years in a technical, client-facing, or implementation role, such as: Forward Deployed Engineer Data Scientist / AI Engineer Solutions Architect / Solutions Engineer Technical or Implementation Consultant Strong analytical and problem-solving skills with experience in: Data modeling, analytics, or business logic design AI / ML concepts or applied data workflows Proficiency with: Formulas, logic, and structured modeling Programming (Python, SQL, or similar is a plus) Familiarity with: SaaS platforms or planning tools APIs, data pipelines, and system integration concepts Ability to manage multiple stakeholders and projects in fast-paced environments Nice to have Background in FP&A, financial modeling, or business planning workflows Prior experience with Pigment or similar platforms Additional European language(s) outside of English What success looks like Customers successfully deploy and adopt AI-powered planning workflows Innovative agentic AI solutions are built and scaled across use cases You are seen as a trusted technical partner by customers Strong feedback loops drive continuous product improvement Repeatable patterns emerge to scale AI deployments across Pigment customers We conduct background checks as part of our hiring process, in accordance with applicable laws and regulations in the countries where we operate. This may include verification of employment history, education, and, where legally permitted, criminal records. Any checks will be conducted lawfully prior to formal employment contracts being signed, with candidate consent, and information will be treated confidentially. Pigment is an equal opportunity employer. We believe diversity is a strength and fosters innovation. We are committed to enabling everyone to feel included and valued at the workplace. All qualified applicants will receive consideration for employment without regard to age, color, family, gender identity, marital status, national origin, physical or mental disability, sex (including pregnancy), sexual orientation, social origin, or any other characteristic protected by applicable laws. We may process your personal data in accordance with our HR Data Protection Notice . 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 Forward Deployed Engineer Los Angeles, CA - Hybrid / Client On-Site ABOUT US Since 2003, GPL Technologies has helped studios around the world run faster, more reliable production environments. Trusted by 500+ studios in media, entertainment, post-production, and VFX, our team of engineers, consultants, and specialists understands the real pressure of creative deadlines. Our services span managed IT, software services, security & compliance (TPN), cloud, and production-ready technical staffing. THE ROLE GPL Technologies is looking for a Forward Deployed Engineer to be the technical face of GPL inside our clients' studios. You'll embed directly with client teams - on-site and remote - to deploy, integrate, and support GPL solutions in live production environments. This is a hybrid role for someone who is equal parts systems engineer, problem solver, and trusted advisor: comfortable owning technical delivery end-to-end while building strong relationships with client stakeholders, from artists and production staff to studio technology leadership. DUTIES & RESPONSIBILITIES • Deploy, configure, and integrate infrastructure and software solutions on-site at client studios (storage, workstations, render, networking, cloud) • Serve as the primary embedded technical contact for assigned clients, translating production needs into technical requirements and workable solutions • Own escalations end-to-end in fast-paced production environments, diagnosing and resolving complex issues across Windows, Linux, and Mac ecosystems • Automate deployments and repetitive workflows using scripting and configuration management tools • Support secure remote workflows, TPN-aligned security requirements, and compliance initiatives at client sites • Collaborate with GPL's engineering, security, and software services teams to deliver projects and feed client insights back into our solutions • Write clear documentation and runbooks for both internal teams and client staff • Identify opportunities to improve client environments and proactively recommend solutions WHAT YOU NEED TO SUCCEED • 4+ years of hands-on systems or infrastructure engineering experience, ideally in client-facing or consulting roles • Strong cross-platform skills: Windows, Linux, and macOS administration • Scripting/automation proficiency (Python, Bash, or PowerShell) • Networking fundamentals (TCP/IP, VLANs, firewalls, VPN) • Experience with virtualization and storage technologies (SAN/NAS) • Excellent verbal and written communication skills - you can explain technical decisions to artists, producers, and CTOs alike • Self-starter who thrives with autonomy, ambiguity, and aggressive deadlines • Ability to travel to client sites in the greater Los Angeles area; occasional after-hours support during critical production windows • Bachelor's degree in Computer Science, IT, or equivalent work experience NICE TO HAVE • Experience in media & entertainment, post-production, or VFX environments • Familiarity with production storage and workflows (Avid, Autodesk Flow/ShotGrid, Deadline, high-performance storage) • Cloud experience (AWS preferred), including hybrid production workflows • Configuration management / IaC experience (Ansible, Terraform) • TPN, MPA, or studio security compliance exposure • MSP or multi-client support background WHAT WE OFFER • Competitive compensation • Flexible work schedule • Excellent work environment with exposure to leading studios and cutting-edge production technology • Supportive and progressive staff and leadership GPL CORE VALUES • We take care of each other and our clients • Agility is our edge • Creative problem solvers • Cool under pressure • Clarity, Confidence, Commitment Powered by JazzHR nzkfMt3vMp

Job Description Job Description About Base Base is America's next-generation power company. We're rebuilding the foundation of modern civilization-electricity-by deploying a vast network of distributed batteries that is transforming today's fragile, centralized grid into a resilient and abundant system. We are engineers, operators, and creatives solving some of the most complex, interdisciplinary challenges of our time. About the Role Base is looking for a Deployment Engineer to support end-to-end operations for new hardware pilots. You will perform site evaluation, day-of coordination, installer support, and fleet monitoring for new launches; tracking every issue that shows up in the field to feed back to design engineering teams. This isn't a typical engineering support role. You'll be the link between engineers, field crews, and deployment operations for an early-stage hardware development program, turning what we learn in the field into product decisions. You'll build expertise in how our technology gets designed, built, tested, and deployed at scale. It's a fit for someone equally comfortable diagnosing a battery issue in the field, writing up a defect that engineers will trust and act on, and reporting out on what this means for achieving program goals. What You'll Do Plan new hardware launch programs, coordinating end-to-end Deployments activities through each phase of introduction (pilots, public rollout, and expansion). Provide real-time support for field crews during installs and service calls involving new or in-pilot hardware, troubleshooting in person or remotely via phone/Slack. Build and monitor system health dashboards; troubleshoot live alerts. Serve as the field's voice into hardware decisions: log defects, spot trends across installs and service calls, and push high-impact issues to the right engineering owner. Partner with hardware, firmware, and software engineering teams to validate fixes before they roll out fleet-wide. Report on hardware readiness and known issues to engineering and leadership. Write and maintain rollout playbooks and hardware defect logs so lessons from one pilot don't get relearned on the next. What You'll Bring Preferred 1-4 years in a hardware-adjacent technical role (Mechanical Engineering, Manufacturing Engineering, New Product Introduction (NPI), System Engineering, Technical Program Management). Also open to upcoming engineering graduates with solid internship/co-op experience who are ready to learn fast and deliver results! Comfort reading electrical and mechanical systems: you can look at a battery stack, inverter, or wiring diagram and reason about what's wrong. Strong documentation habits: defect logs, build records, and playbooks other people can use. A track record of writing up hardware and software issues that engineers trust and act on. Experience tracking a hardware product from prototype through production. A 4-year degree, or equivalent hands-on hardware or field experience. Familiarity with tools like Grafana, Jira, or Retool (or the kind of person who picks them up fast). Comfortable with ambiguity: pilots move fast, and priorities shift as new issues surface. Team player who puts the mission first and communicates clearly under pressure. About the Team Deployments Engineering sits at the intersection of field electricians, engineering, and member experience, ensuring every install and service call runs smoothly, safely, and efficiently. Beyond live troubleshooting, the team plays a key role in identifying trends, improving deployment playbooks, and influencing product and operational decisions. This is a team built for people who enjoy fast-paced problem solving, cross-functional collaboration, and developing a full-stack understanding of hardware, software, and field operations. The Deployments Product Launch team takes Base's newest products from prototype and pilot into full-scale deployment: driving cross-functional operational readiness for new hardware products, tracking every issue that shows up in the field, and feeding learnings back to engineering teams. On this team, you will build real expertise in how our hardware gets designed, built, tested, and deployed at scale. We move quickly, stay close to the details, and work cross-functionally to keep deployments moving forward while building the foundation for long-term scale. Please note: Base is a startup, which means priorities shift and evolve quickly. Your role may expand or change based on the needs of the business at any given time, so the responsibilities listed may not be exhaustive. Our Values First Principles Thinking: Question assumptions. Principles > rules. Operate at Base Pace: Focus on what matters, act quickly, and learn by doing. Give & Get Feedback: Be direct, be humble, and maintain a growth mindset. Everyone's an Owner: Follow through on commitments and own results. Strong Opinions, Loosely Held: Drive clarity and make calls with imperfect information. Committed to the Mission: Rebuilding the grid is a big challenge. We work hard because we care deeply about the impact we're creating. We work in-person. It's not a 9-to-5. We are all-in. Fun & Optimism Coexist with Grit: Collaboration and celebration coincide with the intensity of building real things. Do the best work of your life at Base.

Job Description Job Description: Company Description ProSidian is a Management and Operations Consulting Services firm that delivers value to clients through tailored solutions grounded in industry-leading practices. ProSidian provides enterprise services/solutions for Risk Management Compliance Business Process IT Effectiveness Engineering Environmental Sustainability Human Capital. We help forward-thinking clients solve problems and improve operations. Launched by Management Consultants, our multidisciplinary teams bring together global professionals to deliver a wide range of engagements for public and private, defense and civilian government, and non-profit organizations. Our solution-centric services are deployed across the enterprise, target drivers of economic profit (growth, margin, and efficiency), and align at the intersections of assets, processes, policies, and people to deliver value. See the link to the ProSidian website at Description ProSidian seeks a Information Technology (IT) Coordinator Information Technology Coordination (ITCoord) for Program Support on a SCA - Service Contract Act / Service Contract Labor Standards (SCLS) Basis for Working On-Site (Client Site) in The Southeast South Atlantic CONUS Area (Aiken, South Carolina) Contract Contingent, generally located across the Aiken, South Carolina Across The Southeast South Atlantic CONUS Region supporting a High-hazard nuclear cleanup environment requiring disciplined staffing, safety, quality, security, and regulatory compliance. With STD Work/Job Site (Office) Language(s) being English; the Information Technology (IT) Coordinator Information Technology Coordination (ITCoord) L00082 is aligned with GSA Labor Category: Administrative Specialist II. This role shall be principally focused on ProSidian Strategic Resourcing and Professional Staff Augmentation for Information Technology Coordination (ITCoord) Solutions and Services Information Technology Coordination (ITCoord) for ProSidian Strategic Resourcing and Professional Staff Augmentation for Information Technology Coordination (ITCoord) Solutions and Services We seek Information Technology (IT) Coordinator candidates with relevant Nuclear And Environmental Management Sector Experience (functional and technical area expertise also ideal) to support professional services engagement for Nuclear And Environmental Management Sector Clients such as SRMC. This as a Contract Contingent or Contract W-2 (IRS-1099) Information Technology Coordination (ITCoord) Functional Area / Swim Lane / Category Discipline Professional - ProSidian Strategic Resourcing and Professional Staff Augmentation for Information Technology Coordination (ITCoord) Solutions and Services Position; however, ProSidian reserves the right to convert to a Full-Time ProSidian employed W-2 Position. Information Technology (IT) Coordinator Information Technology Coordination (ITCoord) The Administrative Specialist II role(s) are located in the Southeast South Atlantic CONUS Region, at or near Aiken, South Carolina, Initially identified Work Site Address (Working On-Site (Client Site) Address: 121 Richland Ave E, Aiken, SC 29801, USA JOB OVERVIEW Provide services and support as a Information Technology (IT) Coordinator ProSidian Strategic Resourcing and Professional Staff Augmentation for Information Technology Coordination (ITCoord) Solutions and Services aligned with the Information Technology Coordination (ITCoord) Functional Area / Swim Lane / Category Discipline in the Nuclear And Environmental Management Industry Sector. This role focusses on Human Capital Project Management Engineering Environmental Compliance Risk Management IT Effectiveness Business Process Training Knowledge Management Solutions for clients such as Savannah River Mission Completion, LLC (SRMC) SRMC Supply Chain / Procurement supporting the Liquid Waste Program under DOE prime contract DEM000068 Generally Located In Aiken, South Carolina and across the Southeast South Atlantic CONUS Region (Of Country/World) Working On-Site (Client Site). Provide Information Technology Coordination (ITCoord) Services and Solutions as a ProSidian Engagement Team Member working in a capacity that Supports technology coordination activities through planning, analysis, coordination, documentation, compliance, quality assurance, and stakeholder support Keep users productive by coordinating devices, vendors, repairs, applications, inventory, and first-line technical support. RESPONSIBILITIES AND DUTIES - Information Technology (IT) Coordinator Information Technology Coordination (ITCoord) L00082 Safety is a primary responsibility in each job performed. Obtain safety training, obey safety rules, and make safety an integral part of each task. Take necessary steps to stop work if continuing the activity is unsafe or will create and unsafe condition. Monitors the status of PC leases to ensure that new PCs are ordered and delivered prior to the lease expiration date. Works with users to determine the appropriate PC configuration to meet their needs. Resolves issues between users and PC vendor (s). Performs inventory of PCs to verify appropriate repurpose. Acts as interface between user, M&O contractor and vendor for all printer repairs. Monitors all printer repair orders to ensure work is done in a timely manner. Continuously works to improve the PC, printer and mobile device processes. Prepares reports documenting PC lease and printer repair statistics. Ensures appropriate approvals and coordinates the distribution and tracking of all mobile devices (i.e., iPads and cellular phones). Works with wireless vendor to resolve mobile device issues. May provides first level technical support for mobile devices. Works with wireless vendor to resolve mobile device issues. May serve as first level technical support for assigned business systems applications. Stays current with system information, changes and updates. Other duties as assigned The responsibilities provided above are intended to describe the primary elements of the job as a whole and not describe any one position in its entirety. Qualifications Desired Qualifications For Information Technology (IT) Coordinator Information Technology Coordination Candidates: Bachelor's degree from an accredited university. Associate's degree and 2+ years supporting an Information Technology (IT) department or performing IT work. High School diploma/GED and 4+ years of related secondary education and/or experience sup Education / Experience Requirements / Qualifications Bachelor's degree from an accredited university. Associate's degree and 2+ years supporting an Information Technology (IT) department or performing IT work. High School diploma/GED and 4+ years of related secondary education and/or experience supporting an IT department or performing IT work. Must be a US Citizen. Bachelor's degree from an accredited university. Associate's degree and 2+ years supporting an Information Technology (IT) department or performing IT work. High School diploma/GED and 4+ years of related secondary education and/or experience sup This position aligns with functional and technical requirements in the Nuclear And Environmental Management Sector and Information Technology (IT) Coordinator Candidates principally support Information Technology Coordination (ITCoord) Functional Area / Swim Lane / Category Disciplines. Skills Required Primarily focused on Management and Financial Consulting, Acquisition and Grants Management Support, and Business Program and Project Management Services initiatives and aligned with Program Support activities Information Technology Coordination (ITCoord) Functional Area Activities. PC lifecycle and lease management; device configuration; inventory; printer service coordination; mobile-device administration; first-level application support; user training Competencies Required Customer service; vendor coordination; problem solving; asset accountability; communication; process improvement Ancillary Details Of The Roles SRMC Job Grade: 63 FLSA: SOP AAP Code: Blank/not provided COCS: Blank/not provided Date Revised: 9.3.2020 Client preferred qualifications: Knowledgeable on PC hardware and software implementation and configuration. Knowledgeable about the technology of cell/smartphones and tablets (iPad etc.). Strong oral and written communications skills. Customer oriented. Other Details Oversees the PC lease and mobile device programs, coordinates printer repairs and acts as the mobile interface with the vendors of these devices. Serves as first level support for assigned business systems applications and performs associated training. And Environmental Management Additional Information Our Corporate Benefits Policy and Philosophy ProSidian's Corporate Benefits Policy and Philosophy highlight the company's support for Eligible Employees through health, financial, work-life, and professional development benefits. Depending on employment type, location, role, client, laws, and plan terms, offerings include medical, dental, vision coverage; assistance programs; paid time off; insurance; retirement plans; flexible spending; education opportunities; recognition bonuses; discounts; and flexible work arrangements. These promote wellness, financial stability, ongoing learning, and work-life balance. ProSidian administers these benefits in line with legal, regulatory, contract, insurance, and business standards, with detailed plan documents. This creates a competitive, sustainable environment for employee growth, contribution, and shared success. Learn More At ProSidian's Employee Benefits Program Is Designed Around Four Core Priorities . click apply for full job details

Job Description Job Description Role Overview We are hiring Forward Deployed AI Engineers (FDEs) to partner with one of the largest healthcare payers in the U.S. to drive AI-led transformation across core business workflows . This is not a traditional engineering role. You will work directly with business and technology teams to design, build, and deploy AI agents that transform how healthcare operations function, while enabling teams to become AI-native and self-sufficient . You will operate at the intersection of AI, engineering, and healthcare operations , delivering real-world impact across critical payer workflows. Key Responsibilities1. AI-Driven Business Transformation Redesign healthcare processes using AI-first principles Identify opportunities to replace or augment manual workflows with AI agents Translate business problems into working AI solutions 2. Agentic AI Design & Deployment Design, build, and deploy AI agents for enterprise workflows Implement multi-agent systems using LLMs (prompting, memory, tool usage) Rapidly prototype and productionize solutions using platforms such as: OpenAI Anthropic Google (Gemini) 3. Forward Deployed Execution Work directly with client teams (business + IT) to: Whiteboard solutions Build prototypes in days/weeks Deploy and iterate rapidly Operate as a trusted advisor and builder 4. AI-Augmented SDLC Leverage AI across the software lifecycle: Code generation and refactoring Automated testing and validation Documentation and observability Drive productivity improvements across engineering teams 5. Enablement & Adoption Train business and operations teams to: Use AI tools and agents effectively Build and iterate workflows independently Develop reusable playbooks and frameworks Domain Focus (Healthcare Payer Workflows) Claims Processing & Adjudication Prior Authorization Member & Provider Contact Center Provider Data Management Care Management & Utilization Review Revenue Cycle & Payment Integrity Required SkillsTechnical Strong software engineering background ( Python, APIs, microservices ) Experience with LLMs, prompt engineering, and AI frameworks Familiarity with agent frameworks (LangChain, Semantic Kernel, etc.) AI & Data Experience building AI/ML or LLM-powered applications Understanding of structured and unstructured data pipelines Knowledge of model evaluation, monitoring, and governance Cloud Experience with: AWS Azure Consulting Mindset Strong communication and stakeholder management Ability to work directly with business teams Experience in rapid prototyping and iterative delivery Preferred Experience in U.S. healthcare payer or PBM environments Understanding of claims, prior auth, or care management workflows Familiarity with regulatory/compliance (HIPAA) Experience 6-12+ years in software engineering, AI, or related roles Prior client-facing / consulting experience preferred What Makes This Role Unique Work at the forefront of AI-driven enterprise transformation Build real-world AI agents replacing traditional workflows Direct business impact through a forward-deployed model Opportunity to scale from pilot solutions to enterprise-wide programs Success Metrics Number of workflows transformed using AI Reduction in manual effort and cost-to-serve Adoption of AI tools by business teams Speed from prototype to production

Role: Senior AI Engineer / Forward Deployed Engineer Location: Remote Experience: 12+ Years Must Visa: USC Preferred. Role Summary A senior, hands-on AI engineer who works directly with Product and business teams to turn high-value opportunities into working AI solutions. The role combines business problem solving, rapid prototyping, solution architecture, and production delivery.

What you will do We are seeking a Manufacturing IT Platform Engineer with 5 or more years of traditional software development hands-on experience using AI-assisted development tools (e.g., Claude.ai, ChatGPT, GitHub Copilot). This role builds standardized and reusable manufacturing solutions, including integrations, manufacturing data platforms, that can be deployed and supported across plants using Kubernetes and containers. This role is ideal for an engineer who wants to build real systems used in the manufacturing, leverage AI tools to accelerate development, and grow into a strong manufacturing platform contributor. How you will do it Design and develop services supporting manufacturing use cases such as production events, quality data, and traceability. Build manufacturing data pipelines and APIs for real-time and near real time shop-floor data. Develop and maintain edge-deployed applications that interface with plant systems. Use AI development tools (Claude.ai, Copilot studio) for: Code generation and refactoring Test creation and debugging Documentation and design acceleration Containerize applications using Docker and deploy using Kubernetes (on prem or edge environments). Support plant systems. Collaborate with senior engineers and architects to improve reliability, scalability, and usability of the manufacturing platform. What we look for Required 5 or more years of traditional software development experience in Manufacturing. 1 or more years of experience using AI tools for software development. Strong coding skills in Python, Java, Node.js, or .NET. Experience building and consuming REST APIs and data services. Hands-on experience with Docker containers. Working knowledge of Kubernetes concepts (pods, deployments, services). Basic understanding of manufacturing or industrial systems. Preferred Exposure to MoM/MES, SCADA, Historian, or IoT systems. Experience with event-driven or streaming architectures (e.g., MQTT, pub/sub concepts). Any experience deploying applications to edge or on-prem environments. Familiarity with CI/CD pipelines and DevOps practices. Experience with manufacturing and shop-floor systems. Comfortable combining traditional engineering skills with AI-assisted development. Product-oriented mindset-focused on reusable, scalable solutions. Willingness to support plant users and learn from operational feedback. Meadowbrook - Lithium Ion Our Meadowbrook, Michigan plant produces lithium-ion batteries and runs a research lab. We began operations in 2010 and now employ more than 110 people and operate six days per week. We're mindful of the profound impact we have on our planet and are proud to operate in a LEED Gold Certified facility. Our employees are actively involved in the community and volunteer for a variety of local organizations. What you get: Medical, dental and vision care coverage and a 401(k) savings plan with company matching - all starting on date of hire Tuition reimbursement, perks, and discounts Parental and caregiver leave programs All the usual benefits such as paid time off, flexible spending, short-and long-term disability, basic life insurance, business travel insurance, and Employee Assistance Program Global market strength and worldwide market share leadership HQ location earns LEED certification for sustainability plus a full-service cafeteria and workout facility Clarios has been recognized as one of 2026's Most Ethical Companies by Ethisphere. This prestigious recognition marks the fourth consecutive year Clarios has received this distinction. Who we are: Clarios is the force behind the world's most recognizable car battery brands, powering vehicles from leading automakers like Ford, General Motors, Toyota, Honda, and Nissan. With 18,000 employees worldwide, we develop, manufacture, and distribute energy storage solutions while recovering, recycling, and reusing up to 99% of battery materials-setting the standard for sustainability in our industry. At Clarios, we're not just making batteries; we're shaping the future of sustainable transportation. Join our mission to innovate, push boundaries, and make a real impact. Discover your potential at Clarios-where your power meets endless possibilities. Veterans/Military Spouses: We value the leadership, adaptability, and technical expertise developed through military service. At Clarios, those capabilities thrive in an environment built on grit, ingenuity, and passion-where you can grow your career while helping to power progress worldwide. All qualified applicants will be considered without regard to protected characteristics. Equal Employment Opportunity: We recognize that people come with a wealth of experience and talent beyond just the technical requirements of a job. If your experience is close to what you see listed here, please apply. Diversity of experience and skills combined with passion is key to challenging the status quo. Therefore, we encourage people from all backgrounds to apply to our positions. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, status as a protected veteran or other protected characteristics protected by law. As a federal contractor, we are committed to not discriminating against any applicant or employee based on these protected statuses. We will also take affirmative action to ensure equal employment opportunities. Please let us know if you require accommodations during the interview process by emailing . We are an Equal Opportunity Employer and value diversity in our teams in terms of work experience, area of expertise, and all characteristics protected by laws in the countries where we operate. For more information on our commitment to sustainability, diversity, and equal opportunity, please read our latest report . We want you to know your rights because EEO is the law. A Note to Job Applicants: please be aware of scams being perpetrated through the Internet and social media platforms. Clarios will never require a job applicant to pay money as part of the application or hiring process. To All Recruitment Agencies: Clarios does not accept unsolicited agency resumes/CVs. Please do not forward resumes/CVs to our careers email addresses, Clarios employees or any other company location. Clarios is not responsible for any fees related to unsolicited resumes/CVs.

Job Description Job Description Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI's technology actively supports operations worldwide. For more information, visit . Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job Description: Shield AI builds intelligent systems that protect service members and civilians. Our products include Hivemind autonomy software and V-BAT and X-BAT aircraft, and our teams support customers and operations across the United States, Europe, the Middle East, and Asia-Pacific. The Forward Deployed Engineer, Operations & Sustainment is a highly technical, customer-facing role focused on deploying, supporting, and sustaining Hivemind products in real operating environments. This role bridges field deployment, customer operations, technical troubleshooting, training, and sustainment. This is a travel-intensive role. Candidates must be willing and able to travel at least 50% of the time, including frequent domestic and international trips, customer-site work, test events, training events, and multi-week deployments as program needs require. In this role, you will work directly with customers and internal teams to install, configure, validate, train, troubleshoot, and support Hivemind products. The role requires strong technical judgment, clear customer communication, comfort operating under field pressure, and the discipline to turn field lessons into durable support artifacts: runbooks, supported baselines, evidence packages, known-issue records, escalation paths, customer-safe updates, and product feedback. What you'll do: Deploy with customers on site globally, with a minimum expectation of 50% travel, to support installation, configuration, validation, training, troubleshooting, and sustainment of Hivemind products. Become an expert user of the Hivemind Enterprise software stack, autonomy modules, deployment tooling, supported configurations, and diagnostic workflows. Execute and improve deployment runbooks covering software install, version/configuration validation, licensing or provisioning status, pre-mission checks, log readiness, and acceptance steps. Provide hands-on technical support to customer operators, maintainers, partners, and internal field teams during deployment, test, training, demonstration, and sustainment windows. Capture and organize field evidence for triage, including logs, telemetry, recorded data, screenshots, version/configuration state, asset context, operator notes, mission phase, and environmental constraints. Drive issues through the support flow: intake, severity assessment, ownership, workaround or fix delivery, customer-safe status, closure, and learning loop. Convert recurring field issues, workarounds, customer questions, and training gaps into support tickets, knowledge-base content, known-issue records, runbooks, and product feedback. Partner with engineering, product, program, sustainment, licensing, safety, legal, commercial, and support teams to route issues to the right owner for seamless customer support.Support root-cause investigation and corrective-action validation by reproducing issues, collecting field context, testing updates, and confirming fixes or workarounds. Support Field Service Representative-style obligations when required by contract, including on-site support posture, issue intake, operator assistance, troubleshooting, documentation, escalation, and evidence capture. Projects you might work on: Deploying Hivemind software and autonomy capabilities during customer integration events, exercises, test campaigns, demonstrations, or operational support windows. Building deployment-to-sustainment handoff packages with supported baselines, configuration checklists, evidence checklists, known issues, escalation contacts, and training material. Standing up a repeatable support flow so field issues move from informal chats and ad hoc engineering asks into a durable support hub, severity model, owner route, and closure loop. Troubleshooting field behavior across software, autonomy, networking, telemetry, configuration, sensors, operator workflows, and customer environment constraints. Creating customer-safe documentation that helps operators and maintainers self-serve routine issues while preserving the right escalation path for mission-critical problems. Required qualifications: Bachelor's degree in Engineering, Computer Science, Robotics, Aerospace, or a related technical field, or equivalent practical experience. 5+ years of experience in field engineering, forward-deployed engineering, applications engineering, systems integration, flight test, robotics support, unmanned systems operations, technical operations, customer deployment, or a similar hands-on technical role. Strong technical background in software engineering, systems integration, or autonomy-adjacent systems. Proficiency writing, reading, and debugging modern C++ code. Working proficiency with Python, Bash, or similar scripting for diagnostics, automation, data handling, and field support workflows. Strong troubleshooting skills across Linux or embedded systems, networking, configuration management, logs, telemetry, release packages, sensors or payloads, and operator workflows. Excellent problem-solving, communication, training, expectation-management, and escalation skills in customer-facing environments. Ability to write clear field notes, deployment records, troubleshooting guides, evidence packages, and support updates that engineering and support teams can act on. Willingness and ability to travel at least 50% of the time, including frequent domestic and international travel and multi-week deployments. Ability to operate professionally in lab, flight-test, range, customer-site, and field environments under time pressure. Ability to comply with export-control, security, safety, sensitive-data, customer-site, and mission-specific operating requirements. Preferred qualifications: Experience with autonomy, robotics, defense aviation, unmanned aircraft, deployed defense systems, flight test, payload integration, sensors, operator systems, or edge compute environments. Experience supporting defense, government, allied, or international customers in operational, test, training, or overseas environments. Experience building or scaling a support, field-service, customer-success, sustainment, or applications-engineering function during an early product rollout. Experience with enterprise software deployment, customer support, licensing, provisioning, release management, configuration baselines, or offline/air-gapped operating environments. Hands-on experience with recorded-data analysis, diagnostic tooling, telemetry review, networking tools, system health checks, or support automation. FAA Part 107, military aviation or maintenance background, UAS operator experience, flight-test experience, systems engineering experience, or prior Field Service Representative experience. Experience using GenAI tools to accelerate troubleshooting, documentation, knowledge capture, data review, or support workflow automation. Active or prior security clearance, or eligibility to obtain one when required by program or customer need. Senior Engineer: $152000-$228,000 Staff Engineer: $181,000-$272,000 Senior Staff Engineer: $212,000-$318,000 Full-time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. 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 Zipline Zipline is the world's largest and most experienced drone delivery service. We are on a mission to serve all humans equally by ensuring access to food, medicine and essential goods anytime, anywhere. We design, build, and operate the world's largest autonomous logistics system, delivering critical supplies quickly and reliably. Today, Zipline operates on four continents, makes a delivery somewhere in the world every 30 seconds, and has completed millions of deliveries to date, including blood, vaccines, medical supplies, food, and retail products. Our customers include the world's largest and most prominent healthcare systems, governments, retailers, restaurants and global businesses who rely on us to save lives, reduce emissions, increase economic opportunity, and provide delivery from point A to point B as fast as possible. The drone is only 15% of what we've built to enable seamless, reliable, global operations. Our system strengthens supply chains, reduces congestion, and gives people time back. With more than 140 million commercial autonomous miles safely flown, Zipline is redefining access to healthcare, consumer products, and food across the globe. We operate at a global scale and are looking for practical problem solvers who thrive on real-world challenges and rapid growth. Our team is motivated by building systems that have a direct, meaningful impact on people's lives and by scaling the future of logistics. We are seeking people who sculpt from first principles, enjoy facing adversity, and can do the impossible at record breaking speeds. About You & the Role Zipline is looking for Forward Deployed AI Engineers who will be at the forefront of bringing GenAI into one of the most complex real-world logistics systems in the world. We operate across software, hardware, aviation, robotics, healthcare, commerce, and field operations, which means the work is practical, high-stakes, and directly tied to production outcomes. This role is similar to being a hands-on AI startup CTO inside Zipline: you report directly to the Head of Operations, work in a small team, own delivery of important projects, move quickly from problem discovery to shipped product, and partner directly with users. The impact will come less from demos and more from systems that are adopted, trusted, and used in daily operations. What You'll Do Forward Deployed AI Engineers work directly with Zipline teams to own GenAI strategy and implementation for high-impact operational workflows and teams. On a daily basis, you will build end-to-end AI tools, take them to production, and solve real-world problems across aviation, logistics, fulfillment, maintenance, customer operations, and commercial teams. You will work closely with operators, engineers, product teams, and business leaders to understand user needs, define the right technical approach, and implement solutions that improve how Zipline runs. You will also bring learnings from the field back into Zipline's broader AI tooling, platforms, and best practices. What You'll Bring We value past experience building things that work. We do not need specific degrees; we need results. Make sure your resume highlights what you have built, shipped, automated, scaled, or made real. It matters less where, when, or for whom you built it; what matters is that it was useful, ambitious, technically strong, and cool. We value an engineering mindset focused on delivering production AI systems, not academic benchmarks. You should have experience building with LLMs, data processing pipelines, and analytics tools, and you should be comfortable decomposing messy business problems into reliable technical workflows. We require past experience building GenAI solutions, a strong understanding of the AI landscape, and a solid foundation in machine learning basics such as evaluation, training concepts, and problem decomposition. You should be a strong coder, with proficiency in Python, TypeScript/JavaScript, Java, C++, or similar languages. You should be comfortable collaborating with technical and non-technical teammates, working in dynamic environments, and iterating directly with users. Ability and interest in traveling to Zipline sites as needed is helpful up to 50% depending on the organization you'll be deployed into. WHAT ELSE YOU NEED TO KNOW This will be an in-office role based out of our South San Francisco HQ. Must be able to travel up to 50% of the time either to our HQ or into the Field. The starting cash range for this role is $112,500 - $300,000 ; please note that this is a target, starting cash range for a candidate who meets the minimum qualifications for this role. We are always open to negotiation. The final cash pay for this role will depend on a variety of factors, including a specific candidate's experience, qualifications, skills, working location, and projected impact. The total compensation package for this role may also include: equity compensation; overtime pay; discretionary annual or performance bonuses; sales incentives; benefits such as medical, dental and vision insurance; paid time off; and more. Zipline is an equal opportunity employer and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws or our own sensibilities. We value diversity at Zipline and welcome applications from those who are traditionally underrepresented in tech. If you like the sound of this position but are not sure if you are the perfect fit, please apply! Voluntary Self-Identification For government reporting purposes, we ask candidates to respond to the below self-identification survey. Completion of the form is entirely voluntary. Whatever your decision, it will not be considered in the hiring process or thereafter. Any information that you do provide will be recorded and maintained in a confidential file. As set forth in Zipline 's Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law.