Role Description Shape the total solution (technical and management) direction, feasibility, and competitive positioning of V2X opportunities to enable business growth and successful transition to execution. Translate customer needs into viable, compelling, and executable solution approaches that are forward-facing and that win work while strengthening long-term customer relationships. Provide a connective tissue for BD, CI, Capture, engineering, pricing, and proposal teams to deliver technically credible, operationally feasible, and customer-aligned solutions that ensure mission success across enterprise, tactical, radar, and range portfolios. Key Responsibilities: - Solution Design & Architecture - Architect technical solutions suited for both enterprise systems and tactical deployments, leveraging advanced technologies such as AI/ML, predictive analytics, C5ISR systems, and edge computing architectures. - Collaborate across all technical domains to develop scalable, secure, and high-performing solutions aligned with defense and commercial missions. - Strategic Capture Participation - Embed into all BD phases, Gate Reviews, technical solution development, operations assessments, and proposal reviews to ensure consistency and compliance. - Support capture and proposal efforts by developing compliant technical approaches, creating architecture diagrams, and ensuring solution alignment with evaluation criteria. - Technical Innovation Across Domains - Expertise in mission-critical technologies (C5ISR systems, AI/ML, tactical platforms, cloud computing, advanced data fusion), with working knowledge of radar and range-related data processing and integration. - Compliance & Security Responsibility - Ensure all solutions meet DoD cybersecurity standards, export control regulations (ITAR, TINA), and location-specific Offset/Industrial Cooperation standards. - Support global execution strategies including Offset requirements and localization models. Qualifications - Bachelor’s degree in Systems Engineering, Computer Science, Electrical Engineering, or related technical field (Master’s preferred). - 10+ years of experience designing secure, responsive solutions for enterprise and tactical systems within defense, aerospace, or federal sectors. - Ability to obtain DoW Secret Clearance. - Experience architecting solutions in alignment with DoD frameworks (RMF, NIST, MIL-STDs, or CMMC) and acquisition lifecycles. - Demonstrated business development and capture lifecycle insights, including technical solutioning for RFIs/RFPs at various acquisition phases. Requirements - Expertise in mission-critical technologies (C5ISR systems, AI/ML, tactical platforms, cloud computing, advanced data fusion), with working knowledge of radar and range-related data processing and integration. - Preferred Certifications: TOGAF, DoDAF, Google/AWS/Azure Solutions Architect, CISSP, PMP. - Prior experience with U.S. test and training ranges (e.g., Major Range and Test Facility Base (MRTFB), Service-specific test ranges, or similar). - Familiarity with radar theory, RF systems, signal processing, tracking algorithms, or test range instrumentation and control systems. - Certifications in cloud-native solutions. Benefits - Healthcare coverage. - Life insurance, AD&D, and disability benefits. - Retirement plan. - Wellness programs. - Paid time off, including holidays. - Learning and Development resources. - Employee assistance resources.

• Serve as the primary commercial contact for customers seeking gas detection solutions, compliance improvements, and system upgrades. • Conduct consultative discovery conversations to evaluate customers' gas detection systems, operating environments, maintenance practices, and compliance requirements. • Design customized gas detection solutions using CTI's portfolio. • Develop and present proposals that clearly connect recommended solutions to customer safety, compliance, and operational objectives. • Collaborate with service and internal teams to develop pricing, quotations, and implementation plans.

Role Description As an AWS Solutions Architect- AI/ML at Cloudelligent, you will be responsible for designing and implementing scalable, innovative cloud solutions for our clients. You will focus on cloud modernization, data engineering, and AI/ML integration to drive business transformation. You will collaborate with clients, service delivery managers, and cross-functional teams to understand business goals, assess existing infrastructure, and develop cloud architectures using AWS technologies. Responsibilities - Architect cloud-native solutions and lead app modernization initiatives to migrate legacy applications to AWS, improving scalability, performance, and cost efficiency. - Design and implement cloud solutions that integrate data engineering, Generative AI, and machine learning (ML) technologies to enhance business operations, customer experiences, and automation. - Lead technical presales discussions, collaborating with sales teams to understand client needs and design cloud solutions that leverage AI, data, and modernization strategies. - Act as a trusted advisor, guiding clients through the design and implementation of custom cloud architecture that meet their business goals, with a focus on scalability, security, and cost optimization. - Lead deep-dive architecture sessions with clients, proposing Well-Architected solutions that include data pipelines, cloud-native frameworks, and modern technologies for app modernization, AI/ML, and data-driven applications. - Define and implement cloud governance frameworks to ensure compliance with AWS security policies, industry standards, and best practices for data security, AI privacy, and regulatory compliance. - Collaborate with internal teams to ensure smooth knowledge transfer from pre-sales to delivery teams, ensuring project goals, timelines, and expectations are clearly set. - Implement advanced Generative AI use cases using AWS tools to automate business processes, enhance customer service, and drive innovation in content creation and decision-making. - Lead cloud migration initiatives, focusing on data modernization, app modernization, and multi-region deployments to ensure seamless transitions to cloud environments. - Stay up to date with the latest developments in cloud technologies, Generative AI, data engineering, and machine learning to bring new insights and innovations to both internal teams and client solutions. Qualifications - 8+ years of experience designing, building, and operating solutions on AWS, with strong expertise in cloud modernization, data engineering, and AI/ML architecture. - Strong understanding of cloud-native patterns and AWS Well-Architected best practices, particularly for modernization, data solutions, and AI/ML workloads. - Experience with cloud services: Knowledge of AWS services like Amazon SageMaker, AWS Bedrock, Redshift, Glue, Kinesis, Athena, and OpenAI. - Proven expertise in designing data pipelines, integrating data lakes, data warehouses, and other data solutions that support AI/ML and modern business needs. - Proven experience migrating legacy applications to AWS, leveraging containers (Docker, ECS, EKS), serverless technologies, and cloud-native architectures. - Proficiency with Terraform or CloudFormation for automating cloud deployments and infrastructure management. - Understanding of AWS security controls related to data security, AI privacy, and regulatory compliance. - Strong experience in pre-sales and customer-facing roles, helping clients translate business requirements into technical solutions and building strong, long-term relationships. Highly Preferred - AWS Certified Machine Learning – Specialty - AWS Certified Solutions Architect – Associate or Professional

Role Description For our insurance client in Zurich, we are looking for an experienced and motivated Business Data Architect. In this project, you will play a key role within a global transformation program, contributing to the design and implementation of a modern data landscape in the finance domain. You will support the development of a global finance data lake and drive data-driven solutions with a strong focus on standardization, scalability, and innovation. - Design and own business-driven data models to support finance reporting, planning, and advanced analytics - Act as a bridge between business and IT by translating business requirements into scalable data structures and solutions - Define and oversee end-to-end data flows from source systems into a global finance data hub - Establish and drive data standards, definitions, and governance principles to ensure consistent and reliable datasets - Collaborate with stakeholders across functions to implement harmonized data structures and support transformation initiatives - Actively contribute to the evolution of the data architecture within a global finance transformation program - Integrate modern approaches and support processes with an “AI-first” mindset Qualifications - Proven experience in data architecture, data modelling, or a similar role within complex transformation environments - Strong understanding of finance processes and related data structures, including interactions between local and global reporting requirements - Ability to translate business needs into structured data concepts and models - Experience with modern data platforms and cloud environments (e.g., lakehouse architectures, Snowflake, Databricks) - Strong communication skills with the ability to effectively collaborate with both business and technical stakeholders - High affinity for innovation and an AI-driven mindset - Solid proficiency with common tools such as Excel and PowerPoint - Nice to have: certification in data management (e.g., CDMP) and extensive professional experience - Fluent in English Company Description Die Coopers Group AG ist eine agile Schweizer Recruiting Agentur, die Spezialisten und Führungskräfte in den Bereichen IT, Life Sciences, Engineering und Finance vermittelt. Mit flexiblen Ansätzen bringen wir Kandidat:innen und Unternehmen zusammen, die nicht nur fachlich, sondern auch menschlich zusammenpassen.