8 jobs found

Job Description Job Description About the Team: The Sensors Division within STR focuses on the development and analysis of advanced sensor systems in the RF, acoustic, and electro-optical domains. This includes the design and development of novel sensors and advanced information processing techniques from ideation to prototype implementations. The Subsea and Seabed Systems (SSS) Group develops and delivers advanced undersea sensor and signal processing systems, including bespoke undersea vehicles to deploy those systems. We apply those products to to intelligence, surveillance, and reconnaissance (ISR) and counter-ISR applications to deliver missions success to our customers. The Role: We are seeking a Principal Investigator (PI) to lead cutting edge research and development in advanced undersea sensing and robotic systems. This role is ideal for a technical leader who can originate innovative concepts, shape them into compelling customer focused proposals, architect and plan complex programs, and drive execution from initial idea through successful at sea demonstration. You will set the technical vision and lead multidisciplinary teams working on next generation Counter Uncrewed Underwater Vehicle (C UUV) technologies, acoustic underwater sensing and signal processing, noise control, undersea robotics, and other advanced undersea systems. You will engage directly with U.S. Government and industry partners, define new capabilities, and deliver operationally relevant solutions. What you will do: Technical Leadership & Vision Define and lead a research agenda in advanced undersea sensing and robotics, with emphasis on C UUV, acoustic sensing, signal processing, and noise control Architect system level solutions for uncrewed undersea vehicles, sensor payloads, and command and control (C2) systems, including sensing, processing, autonomy, and communications Provide technical direction to electrical, mechanical, software, and systems engineers; ensure integration of hardware, software, and algorithms into robust undersea systems An ideal candidate need not have depth in all areas of a system (electrical, mechanical, software, etc.), but needs to understand their system-level interplay and be able to lead a team across disciplines Innovation, Capture, and Customer Engagement Generate new concepts and technology approaches that address emerging undersea mission needs and capability gaps Lead the development of white papers, proposals, and briefings; pitch ideas and technical solutions to U.S. Government and other customers Shape program scope, technical objectives, and execution plans in collaboration with business development and program management Serve as the primary technical interface to customers, communicating trade offs, risks, and progress clearly and credibly Program Execution & Team Leadership Translate concepts into executable technical plans and collaborate with a Program Manager to develop work breakdown structures, schedules, risk management, and resource planning Lead technical teams through design, implementation, integration, and test of undersea systems, from lab prototypes to at sea demonstrations Ensure rigorous system level testing (HIL, lab, pool, and at sea), and drive iterative improvement based on test data and operational feedback Mentor and develop early career engineers and researchers; foster a culture of technical excellence, collaboration, and hands on problem solving Technical Execution (Domain Expertise) Provide technical expertise in an area of undersea research. This may include: Guide the design and integration of advanced acoustic sensing systems, including transducer arrays, front end electronics, and digital signal processing chains Lead research in C UUV detection, tracking, and defeat concepts, including sensing modalities, classification algorithms, and autonomous behaviors Direct efforts in noise control and signature management for undersea platforms and sensors Oversee embedded and real time processing architectures (e.g., FPGAs, GPUs, SBCs) supporting autonomy, signal processing, and C2 Maintain awareness of state of the art undersea technologies and incorporate relevant advances into ongoing and future programs Who you are: Ability to obtain a Top Secret security clearance with special access, for which U.S citizenship is needed by the U.S government Advanced degree (M.S. or Ph.D.) in Electrical Engineering, Computer Engineering, Ocean Engineering, Acoustics, Robotics, or a closely related field, and substantial experience (typically 8+ years) in undersea systems, sensing, or robotics; or equivalent combination of education and experience Experience as a technical lead on a complex R&D program, preferably in undersea or maritime domains Deep hands on experience in at least one core area: Acoustic underwater sensing and signal processing Counter UUV or undersea defense systems Undersea robotics and autonomy Noise control / signature management for undersea platforms Proven ability to: Develop innovative technical concepts and architectures Write and win competitive proposals or lead major technical captures Plan and manage technical execution for multidisciplinary teams Strong systems engineering mindset, including requirements development, architecture definition, trade studies, and verification/validation Practical familiarity with embedded systems and real time control (e.g., microcontrollers, FPGAs, SBCs) and their role in undersea platforms and sensing systems Experience with modeling, simulation, or analytical tools to set and assess performance expectations for UUVs or sensor systems Excellent written and verbal communication skills, including the ability to brief senior stakeholders and customers Even Better: Prior experience as a Principal Investigator or Chief Engineer on undersea robotics, UUV, advanced sensing, or complex R&D programs Experience designing electronics and systems for marine or other harsh environments (pressure, corrosion, moisture, vibration) Familiarity with robotic and autonomy frameworks (e.g., ROS, MOOS IvP, UMAA) and their integration with vehicle electronics and sensing systems Experience with advanced acoustic signal processing including array processing, detection, classification, localization, and tracking Background in control systems, sensor fusion, and their implications for hardware design, timing, and system architecture Experience with hardware in the loop (HIL) test setups, system level simulation, and at sea test campaigns, including deployment, operation, and recovery Experience interacting with the U.S. Navy or other U.S. Government organizations, including classified or special access programs Active Top Secret security clearance and prior special access program experience Experience with agile development methodologies and modern configuration management (e.g., Git) for hardware, firmware, and analysis tools This role is suited for a technical leader who thrives at the intersection of innovation, customer engagement, and hands on engineering, and who wants to shape the next generation of undersea sensing and robotic capabilities. Why Join Us? This is an opportunity to contribute to the development of groundbreaking undersea robotic and sensing systems that will shape the future of maritime autonomy. You will work alongside a passionate and talented team, tackling some of the most challenging and rewarding problems in the field. If you are a visionary roboticist with a drive to innovate and lead, we want to hear from you. Apply today and help us redefine what's possible beneath the waves. Pay Information Full-Time Salary Range: $220,000 - $260,000 The salary range listed is based on external market data. Offers are based on factors, such as but not limited to, the candidate's experience, education, training, key skills/critical skills, security clearances, and prevailing market and business conditions. STR is a growing technology company with locations near Boston, MA, Arlington, VA, near Dayton, OH, Melbourne, FL, Carlsbad, CA, Atlanta, GA, and Denver, CO. We specialize in advanced research and development for defense, intelligence, and national security in: cyber; next generation sensors, radar, sonar, communications, and electronic warfare; and artificial intelligence algorithms and analytics to make sense of the complexity that is exploding around us. STR is committed to creating a collaborative learning environment that supports deep technical understanding and recognizes the contributions and achievements of all team members. Our work is challenging, and we go home at night knowing that we pushed the envelope of technology and made the world safer. STR is not just any company. Our people, culture, and attitude along with their unique set of skills, experiences, and perspectives put us on a trajectory to change the world. We can't do it alone, though - we need fellow trailblazers. If you are one, join our team and help to keep our society safe! Visit us at for more info. STR is an equal opportunity employer. We are fully dedicated to hiring the most qualified candidate regardless of race, color, religion, sex (including gender identity, sexual orientation and pregnancy), marital status . click apply for full job details

Job Description Job Description About the Team: The Sensors Division within STR focuses on the development and analysis of advanced sensor systems in the RF, acoustic, and electro-optical domains. This includes the design and development of novel sensors and advanced information processing techniques from ideation to prototype implementations. The Subsea and Seabed Systems (SSS) Group develops and delivers advanced undersea sensor and signal processing systems, including bespoke undersea vehicles to deploy those systems. We apply those products to to intelligence, surveillance, and reconnaissance (ISR) and counter-ISR applications to deliver missions success to our customers. The Role: We are seeking a Principal Investigator (PI) to lead cutting edge research and development in advanced undersea sensing and robotic systems. This role is ideal for a technical leader who can originate innovative concepts, shape them into compelling customer focused proposals, architect and plan complex programs, and drive execution from initial idea through successful at sea demonstration. You will set the technical vision and lead multidisciplinary teams working on next generation Counter Uncrewed Underwater Vehicle (C UUV) technologies, acoustic underwater sensing and signal processing, noise control, undersea robotics, and other advanced undersea systems. You will engage directly with U.S. Government and industry partners, define new capabilities, and deliver operationally relevant solutions. What you will do: Technical Leadership & Vision Define and lead a research agenda in advanced undersea sensing and robotics, with emphasis on C UUV, acoustic sensing, signal processing, and noise control Architect system level solutions for uncrewed undersea vehicles, sensor payloads, and command and control (C2) systems, including sensing, processing, autonomy, and communications Provide technical direction to electrical, mechanical, software, and systems engineers; ensure integration of hardware, software, and algorithms into robust undersea systems An ideal candidate need not have depth in all areas of a system (electrical, mechanical, software, etc.), but needs to understand their system-level interplay and be able to lead a team across disciplines Innovation, Capture, and Customer Engagement Generate new concepts and technology approaches that address emerging undersea mission needs and capability gaps Lead the development of white papers, proposals, and briefings; pitch ideas and technical solutions to U.S. Government and other customers Shape program scope, technical objectives, and execution plans in collaboration with business development and program management Serve as the primary technical interface to customers, communicating trade offs, risks, and progress clearly and credibly Program Execution & Team Leadership Translate concepts into executable technical plans and collaborate with a Program Manager to develop work breakdown structures, schedules, risk management, and resource planning Lead technical teams through design, implementation, integration, and test of undersea systems, from lab prototypes to at sea demonstrations Ensure rigorous system level testing (HIL, lab, pool, and at sea), and drive iterative improvement based on test data and operational feedback Mentor and develop early career engineers and researchers; foster a culture of technical excellence, collaboration, and hands on problem solving Technical Execution (Domain Expertise) Provide technical expertise in an area of undersea research. This may include: Guide the design and integration of advanced acoustic sensing systems, including transducer arrays, front end electronics, and digital signal processing chains Lead research in C UUV detection, tracking, and defeat concepts, including sensing modalities, classification algorithms, and autonomous behaviors Direct efforts in noise control and signature management for undersea platforms and sensors Oversee embedded and real time processing architectures (e.g., FPGAs, GPUs, SBCs) supporting autonomy, signal processing, and C2 Maintain awareness of state of the art undersea technologies and incorporate relevant advances into ongoing and future programs Who you are: Ability to obtain a Top Secret security clearance with special access, for which U.S citizenship is needed by the U.S government Advanced degree (M.S. or Ph.D.) in Electrical Engineering, Computer Engineering, Ocean Engineering, Acoustics, Robotics, or a closely related field, and substantial experience (typically 8+ years) in undersea systems, sensing, or robotics; or equivalent combination of education and experience Experience as a technical lead on a complex R&D program, preferably in undersea or maritime domains Deep hands on experience in at least one core area: Acoustic underwater sensing and signal processing Counter UUV or undersea defense systems Undersea robotics and autonomy Noise control / signature management for undersea platforms Proven ability to: Develop innovative technical concepts and architectures Write and win competitive proposals or lead major technical captures Plan and manage technical execution for multidisciplinary teams Strong systems engineering mindset, including requirements development, architecture definition, trade studies, and verification/validation Practical familiarity with embedded systems and real time control (e.g., microcontrollers, FPGAs, SBCs) and their role in undersea platforms and sensing systems Experience with modeling, simulation, or analytical tools to set and assess performance expectations for UUVs or sensor systems Excellent written and verbal communication skills, including the ability to brief senior stakeholders and customers Even Better: Prior experience as a Principal Investigator or Chief Engineer on undersea robotics, UUV, advanced sensing, or complex R&D programs Experience designing electronics and systems for marine or other harsh environments (pressure, corrosion, moisture, vibration) Familiarity with robotic and autonomy frameworks (e.g., ROS, MOOS IvP, UMAA) and their integration with vehicle electronics and sensing systems Experience with advanced acoustic signal processing including array processing, detection, classification, localization, and tracking Background in control systems, sensor fusion, and their implications for hardware design, timing, and system architecture Experience with hardware in the loop (HIL) test setups, system level simulation, and at sea test campaigns, including deployment, operation, and recovery Experience interacting with the U.S. Navy or other U.S. Government organizations, including classified or special access programs Active Top Secret security clearance and prior special access program experience Experience with agile development methodologies and modern configuration management (e.g., Git) for hardware, firmware, and analysis tools This role is suited for a technical leader who thrives at the intersection of innovation, customer engagement, and hands on engineering, and who wants to shape the next generation of undersea sensing and robotic capabilities. Why Join Us? This is an opportunity to contribute to the development of groundbreaking undersea robotic and sensing systems that will shape the future of maritime autonomy. You will work alongside a passionate and talented team, tackling some of the most challenging and rewarding problems in the field. If you are a visionary roboticist with a drive to innovate and lead, we want to hear from you. Apply today and help us redefine what's possible beneath the waves. Pay Information Full-Time Salary Range: $220,000 - $260,000 The salary range listed is based on external market data. Offers are based on factors, such as but not limited to, the candidate's experience, education, training, key skills/critical skills, security clearances, and prevailing market and business conditions. STR is a growing technology company with locations near Boston, MA, Arlington, VA, near Dayton, OH, Melbourne, FL, Carlsbad, CA, Atlanta, GA, and Denver, CO. We specialize in advanced research and development for defense, intelligence, and national security in: cyber; next generation sensors, radar, sonar, communications, and electronic warfare; and artificial intelligence algorithms and analytics to make sense of the complexity that is exploding around us. STR is committed to creating a collaborative learning environment that supports deep technical understanding and recognizes the contributions and achievements of all team members. Our work is challenging, and we go home at night knowing that we pushed the envelope of technology and made the world safer. STR is not just any company. Our people, culture, and attitude along with their unique set of skills, experiences, and perspectives put us on a trajectory to change the world. We can't do it alone, though - we need fellow trailblazers. If you are one, join our team and help to keep our society safe! Visit us at for more info. STR is an equal opportunity employer. We are fully dedicated to hiring the most qualified candidate regardless of race, color, religion, sex (including gender identity, sexual orientation and pregnancy), marital status . click apply for full job details

Job Description Job Description Antora Energy delivers affordable, reliable energy to industry, data centers, and the grid. Our thermal batteries turn low-cost electricity into always-on heat and power, without supply-constrained critical minerals or multi-year construction timelines. We are growing our company with people who put team and mission first, value connection through laughter and joy, and work with humility and openness. We are committed to building a diverse, passionate, and creative team dedicated to a future powered by abundant, clean, low-cost energy. Position Summary We are seeking a Staff or Principal Applications Engineer to establish Antora's applications engineering function - the senior technical authority for the customer opportunities that don't fit a standard template. Antora's standard configurations run through repeatable tools and playbooks operated by our business development team; you will own everything that doesn't: the first-of-a-kind applications, constrained sites, and novel configurations of Antora's thermal batteries across industrial process heat and utility-scale power for data centers and the grid, in the U.S. and internationally. When we dive into a new customer application, you are the engineer who joins the first call, earns the trust of senior customer technical leadership, and creatively develops the solution around Antora's product: running technical discovery, sizing and configuring the system, producing conceptual site layouts and heat and power integration designs, setting the technical basis for performance guarantees, and building the cost estimates behind commercial contracts and investment decisions, then handing a clean basis of design to our project engineering team for detailed design and execution. You are also the technical conscience on what Antora commits to, with the standing and judgment to hold the line on feasibility, schedule, and performance so we win deals we can actually deliver. This role will report to the VP of Product Management within Antora's Commercial team. Roles & Responsibilities Serve as the technical lead for Antora's most complex and novel customer opportunities across industrial heat, combined heat & power, and power applications - joining business development on sales calls and owning the technical conversation with customer engineering/operations teams and executives Run technical discovery on novel applications: own customer data requests (load profiles, steam conditions, utility data, plot plans, one-lines) and site walkdowns, and lead first-pass technical screening where no playbook exists Size and configure Antora's product at the edges of its configurable envelope (and beyond), creatively optimizing trade-offs across performance, cost, schedule, and site constraints Produce conceptual site layouts, heat and power integration designs, and site boundary-condition definitions Own configuration of complex customer, grid, and project interfaces for novel applications - including, but not limited to, controls integration, product-side electrical configuration, product-to-interconnection handoff, cybersecurity requirements, and energy market operations coordination Own performance-guarantee assumptions and proposal-stage analysis/cost estimates for commercial contracts and internal approvals with clear judgment on execution and economic impact Prepare basis-of-design handoff packages (configuration specs, layouts, integration concepts, assumptions, and risks) that enable project engineering to pick up projects cleanly for detailed design (FEED and beyond) Partner closely with product management to co-define where the standard product envelope ends and bespoke applications work begins, and keeping executive stakeholders aligned on what we're committing to Act as the technical escalation point and reviewer for the sales engineers who run standard opportunities - mentoring them and together with product management, setting the technical standards they work to Channel voice-of-customer and market intelligence back to product management to drive product changes that improve performance, customer satisfaction, and addressable market Codify design judgment into playbooks, reference designs, and design rules, partnering with software, analytics, and product management to turn them into tools and standard product requirements where applicable Typical travel of 25%, potentially including some international travel Key Qualifications Bachelor's or equivalent in mechanical, chemical, or electrical engineering (or related field) and 12+ years of experience (or 8+ with a relevant advanced degree) across utility-scale energy projects, large industrial facilities, and/or energy equipment applications Experience leading first-of-a-kind industrial and power projects, including managing executive stakeholders in external organizations Deep expertise in power systems (MV/HV electrical, synchronous and inverter-based resources, grid interconnection) with working fluency in industrial process/thermal systems (steam and utility systems, heat integration) - or the reverse - with genuine depth on at least one side and the range to engage customer engineers credibly in both Experience with energy storage and/or utility-scale energy projects, including site layout and equipment configuration Familiarity with the codes and standards governing industrial energy facilities - NFPA, NEC, ASME, API, UL, etc. Comfortable producing and reviewing PFDs, one-line diagrams, and site layout drawings Strong techno-economic intuition and commercial judgment - instinctively connects configuration trade-offs and performance guarantees to project economics Exceptional customer-facing communication and presentation skills AI-fluent: high level of comfort with leading AI tools (Claude, ChatGPT, Gemini, etc.) and strong instincts for which workflows to automate Self-directed operator who thrives owning a small number of deep, high-stakes projects in a fast-paced startup environment Additional Qualifications Desired Experience spanning both thermal/process and power/grid project environments Direct experience with data-center power, microgrids, or hybrid solar-plus-storage systems Prior applications, sales, or solutions engineering role at an energy technology OEM Solid understanding of energy market fundamentals and battery dispatch or techno-economic modeling Python proficiency Experience working with or for EPC firms Familiarity with industrial controls/SCADA integration and operational-technology (OT) cybersecurity Experience working on projects in international markets (particular preference for EU and Australia) Familiarity with European and/or Australian codes and standards Experience building commercial tools and automations PE license in a related discipline Work Location: Remote, US Salary Range: $175,000 USD - $240,000 USD Salary Basis: Annual Please note that the salary range listed above reflects Antora Energy's estimated pay for this position. The actual salary offered will be within the posted range and determined based on several factors including but not limited to a candidate's experiences, credentials and expertise, as they pertain to the position's requirements. In addition to a competitive base salary, Antora Energy's Total Rewards program includes equity compensation in the form of stock options, a premium health benefits package with life and disability insurance, a 401K plan with employer contributions, flexible spending accounts, and an industry leading paid-time-off policy that features flexible and inclusive holiday observance, as well as paid volunteer time off. When it comes to stopping climate change, we need everyone. We believe that having a diversity of backgrounds and experiences strengthens all of us, and we strive to create an environment where every one of us is empowered to create meaningful change.

Job Description Job Description Staff / Principal Platform Engineer Location: New York City Hybrid Department: AI Platform & Infrastructure Team Reports to: Vangie Shue - Principal Engineering Manager About AppGate AppGate secures and protects an organization's most valuable assets with its high performance Zero Trust Network Access (ZTNA) solution and Cyber Advisory Services. AppGate ZTNA is the only direct-routed Zero Trust solution built for peak performance, superior protection and seamless interoperability. AppGate Cyber Advisory Services harden your security posture and ensure business continuity. AppGate safeguards Fortune 500 enterprises and government agencies worldwide. Learn more at About the Role As we expand our platform, we are standing up a new AI Platform & Infrastructure team: the engine room of AppGate's AI strategy. This team owns the infrastructure layer that every next-generation security capability is built on, from network observability to AI-driven threat detection and the secure operation of emerging Agentic AI systems. We're looking for a Staff or Principal Platform Engineer to build and operate the foundational platform behind AppGate's AI products. You combine deep DevOps and cloud infrastructure expertise with hands-on experience operationalizing AI/ML systems, and you treat observability as a first-class engineering discipline. This is a rare opportunity to join a small, private, high-impact company where your work directly shapes the architecture, reliability and core platform that defines the future of security. You'll own the platform spanning APIs, cloud and self-managed solutions and AI/ML infrastructure, and you'll make it fast, reliable and observable at scale. This is a high-leverage, hands-on role for a senior engineer who sets technical direction and still ships. Key Responsibilities Build the Platform: design, build and operate the cloud infrastructure, services and pipelines that AppGate's AI and cloud products run on. Strong experience with self-managed technologies (kafka, elasticsearch) and Kubernetes are a must. Infrastructure as Code & Deployment Orchestration: Terraform and Helm for cloud provisioning, service deployment and configuration management. Implement Observability: instrument APIs, cloud services and AI/ML infrastructure with metrics, logging, tracing and alerting, and define SLOs and operational health metrics that teams trust. Data Platform: real-time and batch data ingestion pipelines, feature stores and data quality. Integrations: third-party connectors, APIs and platform integrations. Operationalize AI/ML: build model serving and inference pipelines, experiment tracking and the MLOps tooling for deployment, versioning, drift monitoring and lifecycle management. Engineer for reliability & automation: apply SRE practices to reduce toil, improve resilience and keep latency and uptime within target across the platform. Automate everything - deliver infrastructure-as-code, CI/CD and self-service tooling so product teams ship safely and quickly. Set technical direction: define platform standards, architecture and best practices, and raise the engineering bar through design reviews and mentorship. Collaborate cross-functionally: partner with data scientists, product teams and leadership to align platform investment with AppGate's strategic vision. Required Qualifications Experience: extensive platform, infrastructure or SRE engineering experience, with a track record of operating production systems at scale. Staff-level candidates typically bring 8+ years and Principal-level candidates 12+ years, though we hire on demonstrated impact. DevOps depth: strong command of infrastructure-as-code (Terraform or equivalent), CI/CD, containers and orchestration (Docker, Kubernetes), and cloud platforms (AWS). Observability expertise: hands-on experience implementing observability across APIs, cloud services and distributed systems using tools such as Prometheus, Grafana, OpenTelemetry, the ELK stack or comparable, including SLO and error-budget practice. Data platform skills: familiarity with real-time and batch ingestion pipelines, feature stores and data quality at production scale. Engineering craft: fluency in a primary backend language (Python, Go or similar) and a strong bias toward automation, testing and reliable, maintainable systems. Leadership: a record of setting technical direction, leading complex initiatives across teams, mentoring senior engineers, while still being very hands-on. Mindset: pragmatic, rigorous and ownership-driven. You thrive in a small, fast-moving environment and enjoy building foundations others depend on. Preferred Qualifications AI/ML infrastructure: experience building or operating model serving, inference pipelines and MLOps tooling such as MLflow, Kubeflow, SageMaker or equivalent, including model deployment, versioning and drift monitoring. Networking & Zero Trust fundamentals: working knowledge of the network and routing layer beneath modern access solutions - TCP/IP, TLS, tunneling/overlay networks, packet routing and filtering, DNS and firewalling - and familiarity with Zero Trust Network Access (ZTNA) or adjacent domains (VPN, SDP, SASE, software-defined networking). You can reason about traffic paths, latency and throughput end-to-end, and instrument the network as a first-class observability signal. Compensation Staff: 185k-225k base Principal: 215k-270k base We offer performance bonuses and considerable equity. AppGate is An Equal Opportunity/Affirmative Action Employer and a federal contractor subject to the Rehabilitation Act of 1973 and the Vietnam Era Veterans Readjustment Assistance Act of 1974 as amended, and their corresponding regulations. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age or any other federally protected class. Further, AppGate is an affirmative action employer committed to taking positive steps to employ, advance in employment and otherwise afford equal employment opportunity to protected veterans and individuals with disabilities. In furtherance of AppGate's policy regarding affirmative action and equal employment opportunity, AppGate has developed a written affirmative action program. This program is available for review upon request by any applicant or employee during normal business hours by contacting the company's EEO Coordinator.

Job Description Job Description Company Description About AbbVie AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at . on LinkedIn, Facebook, Instagram, X and YouTube. Job Description As a discipline expert and technology leader, the Principal AI Engineer II will define and advance the strategy, architecture, and engineering practices required to develop, deploy, and scale artificial intelligence solutions across AbbVie. This role will investigate, identify, and implement state-of-the-art technology platforms that drive productivity and efficiency gains in own function and throughout multiple business areas. Technical leader acting at a group, department, and cross-functional levels. Responsible for managing the Data, Solutions, Business, and/or technology environments and tying them to the Enterprise Architecture and other architectures designs. Responsibilities: Define and advance AI engineering strategy, architecture, standards, and roadmaps aligned with AbbVie's business and technology objectives. Architect and build secure, scalable, reusable AI platforms, services, developer tools, and components that support enterprise adoption. Lead production-grade AI solutions from ideation and prototyping through development, testing, validation, deployment, monitoring, continuous improvement, and retirement. Integrate AI platforms with AWS services and enterprise data, software, security, identity, and infrastructure environments. Establish practices for evaluation, testing, versioning, release management, observability, performance monitoring, incident response, and operational support. Apply risk-based approaches to compliance, GxP, data integrity, privacy, cybersecurity, documentation, traceability, human oversight, and responsible AI. Partner with Quality, Regulatory, Legal, Privacy, Information Security, scientific, technical, and business stakeholders to deliver fit-for-purpose solutions. Serve as a trusted technical advisor, facilitate alignment, influence decisions without direct authority, and communicate complex tradeoffs and recommendations to technical and non-technical audiences. Evaluate emerging technologies, lead innovation and proof-of-concept efforts, and guide promising solutions into sustainable production capabilities. Mentor engineers, advance engineering maturity, promote knowledge sharing, and represent AbbVie in relevant technical communities and partner engagements. Qualifications Required Bachelor's degree with 9 years' experience, Master's degree with 8 years' experience, or PhD with 4 years' in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Engineering, or a related technical discipline. Demonstrated experience designing, deploying, and operating production-scale AI and machine learning systems. Strong experience in AI/platform engineering, including scalable platforms, reusable components, and production-grade AI solutions. Demonstrated experience designing, building, deploying, and supporting solutions using AWS systems and services. Strong software and cloud engineering practices, including secure design, automated testing, CI/CD, containerization, monitoring, and operational support. Experience working in a regulated environment, preferably pharmaceutical, biotechnology, healthcare, medical device, or life sciences. Experience supporting the full solution lifecycle, including feasibility, design, development, testing, validation, deployment, and ongoing operations. Strong understanding of risk management, validation, change control, data integrity, cybersecurity, privacy, documentation, and quality requirements. Demonstrated ability to manage complex stakeholders, influence technical and business decisions, and collaborate across organizational boundaries. Excellent communication skills with senior leaders, technical teams, scientific experts, business partners, and external collaborators. Demonstrated innovation and mentoring experience, including advancing engineering practices and delivering measurable impact. Preferred Experience with enterprise AI governance, responsible AI, model validation, human oversight, and AI lifecycle management. Experience with MLOps and production engineering, including model evaluation, APIs, microservices, CI/CD, observability, and infrastructure as code. Open-source contributions or technical thought leadership through publications, patents, or industry working groups. Experience leading cross-functional product development from feasibility through validation and production implementation. Enterprise AI or platform experience, including AWS architecture, governance, security, and integration with enterprise environments. Additional Information Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law: The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately pay more or less than the posted range. This range may be modified in the future. We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees. This job is eligible to participate in our long-term incentive programs. Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole and absolute discretion unless and until paid and may be modified at the Company's sole and absolute discretion, consistent with applicable law. AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community. Equal Opportunity Employer/Veterans/Disabled. US & Puerto Rico only - to learn more, visit -us/equal-employment-opportunity-employer.html US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more: -us/reasonable- accommodations.html

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

Description: Weyerhaeuser is a recognized leader in sustainable forestry and wood products, committed to innovation, operational excellence, and responsible stewardship. As Principal AI Architect, you will define and evangelize AI architectures that power Weyerhaeuser's digital transformation. Spanning traditional machine learning, generative AI, and agentic AI, this role ensures solutions are scalable, secure, and responsible - driving measurable business value across our timberlands, wood products, and corporate functions. You will partner with business, product, data, and technology leaders to define the architectural foundation for AI across Weyerhaeuser. Working at the intersection of strategy and engineering, you will establish reference architectures, design patterns, and technical standards that enable teams to rapidly build secure, scalable, and reusable AI capabilities. Your work will shape how AI is integrated into business workflows, enterprise platforms, and operational systems accelerating innovation while ensuring solutions remain governable, resilient, and aligned with enterprise standards. You'll evaluate and guide the adoption of modern AI technologies including large language models, intelligent agents, cloud AI services, enterprise data platforms, and emerging interoperability standards while selecting the right technologies for the problem rather than building around any single vendor or framework. Key Responsibilities Enterprise AI Architecture - Define and evolve Weyerhaeuser's enterprise AI architecture, reference architectures, and technical standards. Establish scalable, secure, and reusable architectural patterns that enable AI to become a core enterprise capability while ensuring interoperability, governance, and long-term maintainability. AI Platform Strategy - Define the architectural foundation for enterprise AI platforms supporting machine learning, generative AI, intelligent agents, and optimization. Guide technology strategy, platform evolution, and the adoption of emerging AI capabilities while balancing innovation, operational maturity, and business value. Technical Leadership - Provide technical leadership across the enterprise through architecture reviews, mentoring, engineering standards, and reusable design patterns. Establish engineering standards, reusable design patterns, architecture reviews, and technical guidance across the engineering teams for AI solutions. Enterprise Collaboration - Partner with business, product, engineering, data, cybersecurity, and enterprise architecture teams to translate strategic business opportunities into technical solutions. Drive alignment across organizations to ensure AI capabilities integrate seamlessly into enterprise platforms and business workflows. Responsible AI & Operational Excellence - Embed Responsible AI principles throughout the AI lifecycle by defining architectures that emphasize security, governance, transparency, observability, performance, reliability, and cost efficiency. Ensure AI solutions are designed for enterprise-scale operations and deliver measurable business outcomes. Qualifications: Bachelor's degree in Computer Science, Engineering, or a related technical discipline. Master's degree or PhD preferred. 10+ years of experience designing and delivering technology solutions on edge, cloud, and data platforms. Demonstrated success defining architecture for complex, distributed systems operating at enterprise scale. Deep understanding of modern AI technologies, including machine learning, generative AI, and intelligent agent architectures with one or more major enterprise AI ecosystems such as Microsoft Azure AI, AWS, Google Cloud, OpenAI, Anthropic, Snowflake, Databricks, SAP, or comparable platforms. Experience designing reusable patterns, shared services, developer frameworks, and engineering accelerators that improve enterprise AI delivery. Experience applying AI across one or more domains (the more the better): manufacturing/industrial, commercial (sales, supply chain, logistics), corporate functions (IT, HR, Finance, Legal, Procurement), or geospatial/GIS. Experience implementing AI governance, Responsible AI practices, model lifecycle management, evaluation frameworks, observability, or MLOps. Experience influencing technical direction across the enterprise through technical leadership rather than direct authority. Excellent communication skills with the ability to engage executive, business, and technical audiences. Why Join Weyerhaeuser? At Weyerhaeuser, you'll have the opportunity to shape the future of sustainable forestry through AI-driven innovation. As Senior AI Architect, you will define how advanced AI - from predictive analytics to generative and edge intelligence - is designed, built, and deployed to enhance operations, sustainability, and growth. Your work will transform how forests are managed, mills operate, and teams collaborate - advancing Weyerhaeuser's mission to be the world's premier timber, land, and forest products company. Compensation: This role is eligible for our annual merit-increase program, and we are targeting a salary range of $135,500-$203,300 based on your level of skills, qualifications and experience. You will also be eligible for our Annual Incentive Program, which offers a cash bonus targeting 25% of base pay. Potential plan funding may range from zero to two times that target. This position is also eligible to receive between $32,000 in restrictive stock units on an annual basis, as part of our Long Term Incentive Plan. Benefits: When you join our team, you and your dependents will be offered coverage under our comprehensive employee benefits plan, which includes medical, dental, vision, short and long-term disability, and life insurance. We offer a pre-tax Health Savings Account option which includes a company contribution. Other benefit options are also available such as voluntary Long-Term Care and Employee Assistance Programs. We also support personal volunteerism, sponsor a host of diversity networks, promote mentoring, and provide training and development opportunities to help you chart your path to a fulfilling career. Retirement: Employees are able to enroll in our company's 401k plan, which includes a paid company match in addition to our annual contribution equal to 5% of your base salary. Paid Time Off or Vacation: We provide eligible employees who are scheduled to work 25 hours or more per week with 3-weeks of paid vacation to use during your first year of employment. We also recognize eleven paid holidays per year, providing a total of 88 holiday hours and paid parental leave for all full-time employees. Attention Internal Applicants: To ensure transparency across the organization, please have a discussion with your manager prior to applying for any new opportunities. If you need any help facilitating this conversation, please reach out to your HR Representative for guidance. For more information on how to apply, including best practices for updating your profile or partnering with HR and Recruiting, please visit our internal applicant page on Roots: Weyerhaeuser is an equal opportunity employer. Inclusion is one of our five core values and we strive to maintain a culture where all our people feel a sense of belonging, opportunity and shared purpose. We are committed to recruiting a diverse workforce and supporting an equitable and inclusive environment that inspires people of all backgrounds to join, stay and thrive with our team.