Role Description Wir suchen eine unternehmerisch denkende Persönlichkeit, die unsere Leadgenerierung im Pre-Sales mit Fokus auf Automatisierung und künstliche Intelligenz aktiv weiterentwickelt. - Aufbau und Weiterentwicklung einer skalierbaren Leadgenerierungsstrategie für unser L&D-Geschäft - Einsatz von AI-Tools und Automatisierung zur Identifikation und Ansprache neuer Kunden - Identifikation von Ausschreibungen und Geschäftschancen im Corporate-Learning-Umfeld - Entwicklung und Testing datenbasierter Outreach- und Prospecting-Strategien - Enge Zusammenarbeit mit Sales, Marketing und unserer internationalen Muttergesellschaft NIIT, um gemeinsame Go-to-Market-Initiativen voranzutreiben - Konzeption und Organisation von Events, Roundtables und Networking-Formaten zur Leadgenerierung - Unterstützung im Pre-Sales z. B. bei der Vorbereitung von Kundengesprächen und Angeboten - Aufbau und Weiterentwicklung eines strukturierten Lead- und Opportunity-Funnels Qualifications - Erfahrung im B2B-Sales, Pre-Sales oder Business Development, idealerweise im Umfeld Learning & Development, HR oder Professional Services - Praktische Erfahrung mit AI-gestützter Leadgenerierung, Automatisierungstools oder modernen Sales-Tech-Stacks - Starkes Verständnis für digitale Vertriebsansätze, datenbasierte Marktanalysen und Prospecting-Strategien - Interesse daran, neue Wege im Vertrieb zu entwickeln und zu testen - Erfahrung in der Zusammenarbeit mit Marketing sowie bei der Organisation von Events oder Leadkampagnen - Strukturierte Arbeitsweise, Eigeninitiative und ein ausgeprägtes Hunter-Mindset - Kommunikationsstärke und Freude daran, neue Kontakte aufzubauen und Netzwerke zu entwickeln - Sehr gute Deutsch und Englischkenntnisse in Wort und Schrift - Verständnis für die Corporate Denkweise im DACH-Raum Benefits - Die Möglichkeit AI-getriebenen Vertrieb aktiv mit aufzubauen - Viel Gestaltungsspielraum und echte Verantwortung - Internationales Umfeld mit flachen Hierarchien und kurzen Entscheidungswegen - Flexible Arbeitszeiten (Kernarbeitszeit Mo-Fr, 9-16 Uhr) - Möglichkeit zum mobilen Arbeiten (bis 100%) - modernes Office mit Wohlfühlgarantie in verkehrsgünstiger Lage in München-Allach - Zugang zu maßgeschneiderten Trainings und Workshops - Zahlreiche Vergünstigungen mit unserem Corporate Benefits Programm - Nachhaltige Angebote wie BikeLeasing und CO2 Challenge - bis zu 3 Sonderurlaubstage für ehrenamtliches Engagement - An Heiligabend und Silvester schenken wir dir jeweils einen halben Urlaubstag - Erfolge werden bei uns selbstverständlich gefeiert - ob in Team- oder Firmenevents

• Own the end-to-end architecture and technical development of the Graph AI platform • Improve and scale the private relationship graph (matching, pathfinding, performance, and privacy) • Design and implement AI-powered relationship scoring and recommendation systems • Develop Graph RAG and intelligent introduction recommendations • Build and ship core backend and infrastructure features • Maintain and improve data pipelines (email, LinkedIn, CRM integrations, identity resolution) • Optimize onboarding and ensure fast product “aha moment” • Lead cloud infrastructure and DevOps (AWS, Docker, deployments, scaling, reliability) • Ensure performance, scalability, and security of the system • Make key decisions on system design, architecture, and AI implementation • Collaborate closely with founders on product roadmap and technical strategy • Contribute to building a strong and defensible network-effect-driven platform

Role Description We are seeking a skilled AI Developer to help modernise and optimise operations across the container and logistics ecosystem. You will build intelligent systems that enhance: - Container tracking - Route optimization - Yard operations - Demand forecasting - Predictive maintenance - Supply chain visibility This role focuses on applying AI to real-world shipping and containerized freight challenges — improving operational efficiency, reducing costs, and increasing transparency across global logistics networks. What You Will Be Doing: - Design and deploy AI/ML models for: - Container tracking and ETA prediction - Route and load optimization - Yard and terminal operations automation - Predictive maintenance for container fleets and equipment - Demand forecasting and capacity planning - Develop real-time analytics systems for supply chain monitoring - Integrate AI solutions with TMS (Transportation Management Systems), WMS (Warehouse Management Systems), and IoT devices - Work with telematics, GPS, RFID, and sensor data - Build APIs and scalable services to support operational platforms - Collaborate with operations, logistics planners, and engineering teams - Ensure data security and compliance across global shipping regulations - Optimise models for production-scale performance Qualifications - Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or related field - 3+ years of experience in AI/ML development - Strong Python programming skills - Experience with machine learning frameworks (TensorFlow, PyTorch, Scikit-learn) - Experience working with time-series data and large operational datasets - Knowledge of optimization algorithms (linear programming, heuristic optimization) - Experience with cloud platforms (AWS, Azure, or GCP) - Familiarity with REST APIs and microservices architecture - Understanding of MLOps and model deployment Requirements - Experience in logistics, shipping, freight, or container operations - Familiarity with supply chain analytics and transportation systems - Experience with IoT data processing - Knowledge of geospatial analytics (GIS tools, mapping APIs) - Experience building real-time streaming systems (Kafka, Spark, etc.) - Understanding of global trade operations and port logistics - Experience working in distributed, remote teams Benefits - Fully remote, flexible work environment - Competitive salary with performance incentives - Opportunity to work on AI systems impacting global trade and logistics - Access to large-scale operational datasets - Professional development and industry exposure - Collaborative, cross-functional international team Impact You’ll Make - Improve container turnaround time - Reduce empty container repositioning costs - Increase supply chain visibility - Optimize port and yard efficiency - Support sustainable and data-driven logistics operations

AI & Automation Engagement Lead (BFSI) REMOTE The Cognizant Automation practice focuses on providing Robotic Process Automation, Smart Data Intake, Analytics, Machine learning, Gen AI and Agentic AI solutions for mission critical business and IT processes to major industries globally. It is one of the fastest growing practices in the company, and a key pillar of our digital offerings. We are seeking an Engagement Lead with experience in leading large-scale AI implementation projects across Banking, Financial Services and Insurance domain to help our clients harness the power of AI and to manage the AI enabled automation delivery for a North America-based customer. This role will be accountable for establishing, sustaining and growing Cognizant’s Automation presence with the customer by ensuring operational and delivery excellence. The EL must also focus on creating value-added long-term partnerships with the client, internal account and market teams. The right candidate for this role must have proven success with hands-on delivery and program management. Experience in leading the design and implementation of global AI driven automation programs with established governance at executive leadership level is a desired skill. They must also understand, appreciate and drive transformation based on business needs, to stay ahead of the competition, as the industry pivots to AI driven Automation. Success begins with delivery excellence and hence one of the primary expectations from this role is to ensure that we first deliver on our commitments, thereby forging strong and trusted partnerships with the client and account teams. This person is expected to leverage their combined industry, delivery and AI driven transformation expertise to lead AI automation opportunity identification, technical feasibility analysis, implement best practices, drive transparency through outcome management, demonstrate intelligent risk management and problem solving to support the client’s needs and solve business challenges through intelligent automation. Goals in this role will include demonstrated delivery excellence, high customer satisfaction scores, meeting margin commitments, opportunities to partner on solutions, expanded presence at the client, referrals, and/or publicly reference-able accounts. Responsibilities: - Lead discovery sessions with clients and partner with the product owners and architects in the client organization to identify and evaluate AI automation opportunities, lead design and drive the right fit automation solution to achieve the expected business outcomes. - Partner with clients in defining their AI strategy roadmap by bringing in the AI practitioner’s experience. - Ensure delivery excellence by embedding best practices, outcome management and delivering on our commitments for both implementation and support. - Establish, sustain or grow the Intelligent Process Automation capability in the assigned accounts. For example, identify opportunities for interconnected solutions, expand existing capabilities to new business areas, etc. - Be a trusted delivery partner and point of contact for the client and Cognizant teams for the automation program/engagement. - Ensure contractual commitments are tracked and implemented with reference to delivery. - Collaborate with extended delivery teams across the globe. Required Skills and Qualifications: - Hands-on experience in leading the implementation of AI enabled business process transformation solutions. - Expertise in assessing client infrastructure, data capabilities and organizational readiness for AI adoption. - Experienced in leading AI automation opportunity identification and evaluation. - Proven experience shaping AI strategy roadmaps for clients and aligning them to business outcomes (growth, efficiency, risk reduction, customer experience), leveraging practitioner insights. - Recommend frameworks for AI governance, responsible AI and define operating models to scale AI within client environments. - Practitioner experience in leading design and implementation of AI automation solutions on either cloud AI services (Azure, AWS, GCP etc.) or full-stack technologies including Python. - Management experience - Experience in leading and executing global automation programs involving Smart Data Intake, ML, Gen AI and Agentic AI solutions, with established governance at exec leadership/steering committee level. - Operational Rigor – Demonstrated success and strength in managing across clients and programs to deliver results. This will combine a strong mindset in program and project management, leveraging data to drive objectives and creating strategic plans to deliver results for today while setting up for continue accelerated growth. - Business Acumen - demonstrated experience in leading automation delivery for Banking, Financial Services and Insurance industry. - Leadership– Ability to lead and manage a high performing team and support growth and development of team members. This individual will be expected to work with his or her team to continue to grow and develop team members to meet the fast-paced demand of the digital and automation space. - Influencing skills - Ability to work with those within other teams to collaborate on optimal solutions and outcomes for clients. This individual will be expected to work with teams within the practice, collaborate with other business units and partner with account teams, while managing client expectations and growth strategies. - Communication – Demonstrated strength in both verbal and written communication. Ability to clearly message across levels of an organization, including a strong executive presence. - Financial acumen - to manage project P&L from an internal standpoint and help guide clients in their investment choices from an externally facing standpoint. - Multi-geo experience and the ability to create effective relationships with offshore teams in a global delivery model. - Exceptional client management skills and experience. - Ability to work collaboratively in a virtual and highly matrixed environment. - Willing to travel to client location as per engagement requirement. Salary and Other Compensation: The salary for this position is between $150,000 - $170,000k depending on experience and other qualifications of the successful candidate. This position is also eligible for Cognizant’s discretionary annual incentive program, based on performance and subject to the terms of Cognizant’s applicable plans. Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements: · Medical/Dental/Vision/Life Insurance · Paid holidays plus Paid Time Off · 401(k) plan and contributions · Long-term/Short-term Disability · Paid Parental Leave · Employee Stock Purchase Plan Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law. Cognizant will only consider applicants for this position who are legally authorized to work in the United States without requiring company sponsorship now or at any time in the future. CogWW901