Generative AI Leader/Architect

Solution Architect - Cyber Security Hardware

We are seeking an experienced Solution Architect to design and implement end-to-end architectures connecting PC cybersecurity hardware, to a centralized infrastructure for data protection and management. The ideal candidate will focus on developing scalable, secure, and efficient solutions, ensuring seamless communication between system software and the central management infrastructure. This role plays a vital part in delivering a unified ecosystem for managing advanced cybersecure hardware solutions. Responsibilities : · Develop architectures that enable seamless integration of PC cybersecurity hardware, with centralized management systems. · Ensure robust communication between local system software and centralized services for data registration, monitoring, protection and control. · Design systems for secure data storage, encryption key management, and device registration. · Define and implement monitoring solutions to track device performance, health, and security status in real-time. · Design and develop APIs and communication protocols to connect system software to cloud-based or on-premises central management portals. · Optimize data synchronization and device communication for low-latency, high-throughput operations. · Collaborate with firmware, driver, and software teams to enable seamless hardware-software interactions. · Provide architecture guidance to ensure compatibility with various operating systems (e.g., Windows, Linux). · Ensure architectures align with cybersecurity standards such as FIPS, ISO 27001, and NIST guidelines. · Design systems capable of managing a growing ecosystem of interconnected devices with high reliability and performance. · Optimize infrastructure to handle large-scale data logging, analytics, and alerting. · Create detailed documentation, including architecture diagrams, API specifications, and operational workflows. · Establish and promote best practices for system integration and deployment. Requirements · Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field. · Experience in solution architecture, with a focus on integrating software systems with hardware. · Experience with developing centralized management systems, such as portals for device registration, monitoring, and configuration. · Expertise in backend programming languages (e.g., Python, Java, C#) and frameworks. · Familiarity with hardware communication protocols (e.g., NVMe, PCIe) and their software interfaces. · Experience with cloud platforms (AWS, Azure, GCP) or on-premises solutions for building scalable and secure infrastructures. · Familiarity with database design for storing and analysing device data. · Excellent communication and collaboration skills to work effectively across teams. · Strong problem-solving skills with the ability to address complex architectural challenges. · Proven ability to manage multiple projects in a fast-paced environment. Preferred Qualifications: · Experience designing and implementing management portals for managing large-scale hardware fleets (e.g., device inventory, health monitoring, or lifecycle management). · Familiarity with Kubernetes, Docker, or other containerization technologies for managing scalable infrastructure. · Background in DevSecOps, emphasizing secure software and infrastructure deployment practices. Benefits Performance Bonus: Our company recognizes and rewards high performance with competitive bonuses tied to your results. Restricted Stock Units (RSUs): We issue RSUs to contributors, offering you a stake in the company's success and aligning your interests with our long-term growth. Career Advancement Opportunities: We provide clear career progression pathways and support your development to help you reach your full potential. Collaborative Work Environment: Join a team that values innovation, collaboration, and continuous improvement.

San Mateo, CA, USA

Negotiable Salary

Workable

Solutions Architect (Must have Program Management Experience)

RP Professional Services, LLC (RP) is a rapidly growing government consulting firm headquartered in Ashburn, Virginia. We’re an 8(a), Service-Disabled Veteran-Owned Small Business (SDVOSB) that exclusively enables the missions of U.S. Federal agencies through superior mission support and technology integration. Our dedication to our employees and clients is driven by our promise to deliver Excellence, Value, and Flexibility. "People, not just Resources" is more than our motto; it's the foundation on which we are built! At RP, we take pride in who we are and what we deliver. RP is seeking an experienced Solutions Architect to act as a Technical Program Manager experienced with running multiple highly technical engineering teams to deliver low-level (C++) custom applications. The individual would need to be able to deliver both technical and project management related activities. They need to have experience delivering at least three large custom application through all phases of the SDLC in a cloud environment. Need to have an advanced understanding of operating in an Agile-like fashion in Fixed Firm Price contract types in highly-technical environments. Need to be very comfortable speaking and presenting to client executives and leadership, as well as dive deep into explaining nuances of application code and technical decisions. Responsible for the management of the design, development, and implementation of a technical product. Will execute all project management related tasks including time and estimation management, risk management, performance management (using OKRs, grading the performance of the team), and staff/resource management. Utilizes the industry’s latest thinking around delivery software using Agile principles and modern toolsets. Partners with the Product Team including the Government Product Manager and Government Product Owner to deliver the product. Ultimately, this role is accountable for the delivery of the technical product and to stay within the bounds of scope, time, and budget. Technical expertise: use their background in software engineering and technology to implement technology strategies and ensure effective software delivery. Experience in on-premise hardware to server configuration, maintenance, and patching. Project management: oversee the entire lifecycle of a project, including initiating programs, driving delivery, and providing support when issues arise. Managing risk and issues, proactively identifying ways to decrease cost of quality, and advise the delivery team of industry best practices. Cross-functional leadership: provide cross-functional leadership and build alignment for efforts such as QA automation, solution and enterprise architecture, and go-to-market strategies. Technical risk management: identify and mitigate technical risks that could impact project success. Responsibilities will include: Partnering with the Product Team to understand program/product requirements and helping to define project and product scope, quarterly objectives (i.e., OKRs), and Product Roadmaps among other initiatives. Leveraging cloud technologies to influence critical technical decisions, prioritize requirements, and define and communicate roadmaps. Determining the composition of delivery teams (HCD, Engineering, QA, GTM, etc.) to deliver the estimated work. Managing delivery schedules, estimating future work, and forecasting future staffing needs. Overseeing the delivery teams and ensuring they meet their sprint goals. Tracking and reporting out product budgets and forecasting future expenditures. Managing the risks to the delivery of the product. Facilitating communication across all delivery teams to meet their objectives and deadlines. Focus on continuous improvement; what can the teams be doing differently to continue to become more effective. Location: Project is based in Arlington, VA and onsite co-location is expected 3 days a week. Clearance: Start date commences upon adjudication of a TSA public trust clearance. Requirements Very strong written and oral communication skillset. High degree of communication needed with clients and stakeholders. 7+ years of experience working on teams that have delivered software products into a Production environment. 5+ years of experience of hands-on-keyboard development experience and ability to apply this experience in technical leadership and risk management. Strong proficiency in C++ development, with experience designing, coding, testing, and maintaining robust and efficient software applications. Hands-on experience managing on-premise hardware, including installation, configuration, maintenance, and troubleshooting of physical servers and network infrastructure. Proven expertise in deploying applications using VMware-based solutions, like vSphere, ESXi, and vCenter Server Extensive experience designing and implementing cloud-native solutions using AWS, Azure, GCP, Kubernetes, Docker, and serverless computing. 3+ years working within an Agile delivery model in Firm Fixed Price, Milestone-based delivery. Should have an advanced level understanding of Agile. 2+ years managing / overseeing at technical delivery teams. 0.5+ years working with Objectives and Key Results (OKRs) or similar goal-setting frameworks. Project utilizes the industry’s latest technologies and methodologies. You’d be leading a team using both embedded applications built in C++ but developed and deployed in a cloud-native environment, full containerized utilizing the AWS. Familiarity with C++ is required and candidates should have experience building cloud-native applications. Benefits Health Benefits: Medical, Vision, Dental Up to 4% retirement match with 100% vesting Company paid STD and LTD Company paid basic life insurance Competitive PTO package RP Professional Services, LLC provides equal employment opportunities to all employees and applicants for employment 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. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

Arlington County, Arlington, VA, USA

Negotiable Salary

Workable

Machine Learning Architect

Tiger Analytics is looking for an experienced Principal Data Scientist to join our fast-growing advanced analytics consulting firm. Our employees bring deep expertise in Machine Learning, Data Science, and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world. You will be responsible for: Highly experienced Machine Learning Architect with a proven track record of designing and delivering end-to-end ML solutions across diverse business domains. The ideal candidate will have over 10 years of experience in data science, machine learning, and MLOps, and a deep understanding of scalable system design, model lifecycle management, and production-grade deployment pipelines. This is a strategic and hands-on role, involving collaboration with data scientists, engineers, product teams, and business stakeholders to architect solutions that are robust, scalable, and aligned with business goals You will collaborate with cross-functional teams and business partners and will have the opportunity to drive current and future strategy by leveraging your analytical skills as you ensure business value and communicate the results. Requirements What you'll do in the role- Design and define system architecture for ML and AI-driven solutions across multiple business verticals. Lead ML system design discussions and make high-level design choices for model serving, data pipelines, and MLOps frameworks. Architect scalable and secure cloud-native platforms for ML model training, validation, deployment, and monitoring (AWS/GCP/Azure). Build reusable components and reference architectures for various stages of the ML lifecycle. Define and enforce best practices in model versioning, CI/CD for ML, testing, and rollback strategies Deploy and manage machine learning & data pipelines in production environments. Work on containerization and orchestration solutions for model deployment. Participate in fast iteration cycles, adapting to evolving project requirements. Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. Collaborate with Data scientists, software engineers, data engineers, and other stakeholders to develop and implement best practices for MLOps, including CI/CD pipelines, version control, model versioning, monitoring, alerting and automated model deployment. Ability to work with a global team, playing a key role in communicating problem context to the remote teams Excellent communication and teamwork skills Basic Qualification- Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field. Typically requires 10+ years of hands-on work experience developing and applying advanced analytics solutions in a corporate environment with at least 4 years of experience programming with Python. At least 7 years of experience productionizing, monitoring, and maintaining models Strong programming skills in Python and ML libraries (e.g., scikit-learn, TensorFlow, PyTorch). Deep experience with MLOps tools such as MLflow, Kubeflow, Airflow, SageMaker, or Vertex AI. Hands-on experience designing ML systems using cloud platforms like AWS, Azure, or GCP. Strong understanding of data engineering, APIs, CI/CD pipelines, and model observability. Excellent communication and stakeholder management skills. Benefits This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.

New Jersey, USA

Negotiable Salary

Generative AI Leader/Architect

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