• Design multi-agent systems to automate business workflows (content, product, growth). • Build and integrate AI agents using LLMs, APIs, and internal tools. • Define workflows, input/output contracts, and system architecture. • Continuously improve agent performance based on real metrics and feedback loops.

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

Role Description We are looking for a hands-on AI Engineer Lead to drive the technical development of the Graph AI platform. This is not a managerial-only position — it is a deeply technical builder role. You will be directly responsible for: - Improving and scaling the relationship graph - Developing AI-driven matching and recommendation systems - Shipping core product and infrastructure features You will work closely with the founders and play a critical role in shaping the technology roadmap, product direction, and system scalability while building a strong AI and graph-based foundation for the platform. Key Responsibilities - 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 Qualifications - 3–8+ years of experience in software engineering, AI, or ML - Proven experience as: - AI Engineer Lead - Tech Lead - Founding Engineer - Senior backend / AI engineer in an early-stage startup - Strong backend and system design experience - Hands-on experience building and shipping production systems - Experience with AI/ML-powered features and LLM-based systems - Experience working with Python and modern backend frameworks (e.g., FastAPI) - Experience with cloud infrastructure (AWS) and scalable architectures - Understanding of data pipelines and distributed systems - Interest or experience in graph systems, recommendation systems, or AI agents - Ability to work independently in a fast-paced startup environment - Strong ownership, autonomy, and product mindset Nice to Have - Experience with graph systems or network-based platforms - Experience with Graph RAG or knowledge graphs - Background in fintech, fundraising, or marketplace platforms - Experience with recommendation systems or ranking algorithms - Experience with CRM, email, or LinkedIn data integrations - Previous experience in early-stage or founding teams - Experience scaling products from early-stage to growth Benefits - Founding-level role with high impact on company direction - Full ownership of the AI and Graph platform development - Opportunity to build a large-scale AI-driven network platform - Highly autonomous and fast-moving environment - Fully remote setup with flexible work style

Role Description Dia a dia como Analista de Compras Júnior - Foco em Dados e IA na Cora: - Operação ERP Matera: Executar 100% dos cadastros de pedidos de compras, e atualização de cadastros gerais, garantindo o saneamento de dados e a taxonomia correta para compras, tesouraria, contabilidade e FP&A. - Gestão de Viagens: Apoiar no report de gastos para prover insights à gestão. - Demandas de Compras: executar processo de cotação ponta a ponta para compra de giro rápido (kits, brindes, mochila, itens de escritório, freelancer, patrocinio de eventos, compra de vouchers, serviço para evento contadores, placas de premiação). Realizar negociações focadas em saving e prazo de entrega, garantindo o melhor custo-benefício para a Cora. - Treinamento de Fornecedores: Organizar o treinamento bianual regulatório exigidos pelo BACEN, operando a plataforma de IA (Lovable) para escala e gestão de certificados. - Compliance & Reporting: Preparar outputs de dados e relatórios de gestão de acessos para envio ao Banco Central (Bacen). - Foco em IA: Utilizar ferramentas de Inteligência Artificial para automatizar processos manuais, reduzir SLAs e melhorar a visibilidade de custos relacionados a gestão de viagens. Qualifications - Formação superior cursando ou concluída em Administração, Engenharia, Economia ou áreas correlatas. - Perfil Data-oriented: capacidade de gerar relatórios para compliance (Bacen) e monitorar KPIs de SLAs. - Hands-on & Ágil: Foco em demandas de giro rápido (Coraliados) e na higienização de dados para o novo ERP. - Curiosidade Tecnológica: Buscamos alguém que não apenas use IA, mas que ajude a automatizar processos de cadastro e triagem. - Visão de Processo: Conseguir enxergar como um erro ou uma demora em uma das etapas do processo impacta a ponta final. - Excel avançado ou conhecimento em ferramentas de BI. Benefits - Remuneração competitiva. - Participação nos Lucros e Resultados (PLR). - Benefícios Flexíveis no cartão Flash. - A partir de 1 ano de Cora, todas as pessoas podem adquirir Ações. - Plano de Saúde Sulamerica com inclusão de dependentes. - Plano Odontológico Bradesco. - Apoio e suporte 24h da Pipo Saúde. - Parceria com Gympass. - Parceria com Zenklub. - Seguro de vida Zurich. - Licença parental estendida (180 dias para gestante e 90 dias para não gestante). - Auxílio-creche para pais e mães com filhos até 6 anos. - Auxílio financeiro para pais e mães com filhos com deficiência. - Trabalho 100% remoto. - Day Off de aniversário. - 5 Day Offs por ano para emendar feriados ou combinar uma folga. - Auxílio Home Office mensal. - Banco de horas semestral e flexibilidade nos horários de entrada e saída desde que dentro do horário comercial (08h-20h). - Equipamentos para trabalhar em casa (monitor extra, cadeira, escrivaninha, fone de ouvido e apoio para pé). - Convênio com a plataforma de Coworkings Woba. - Auxílio Aprendizagem de R$ 3.000 por ano para cursos, livros, eventos, graduação, pós graduação, entre outros. - Para profissionais em início de carreira, o benefício é de R$ 4.000.