AI Forward Deployed Engineer

Cognizant is hiring an AI Forward Deployed Engineer to partner with clients on designing, building, and deploying AI, data, cloud, and digital solutions. The role provides technical advisory and delivery leadership across digital transformation initiatives, from discovery and architecture through production deployment and adoption.

Responsibilities:

• Partner directly with client stakeholders to understand business objectives, operational challenges, and technical requirements while serving as a trusted technical advisor
• Lead discovery workshops, technical assessments, and solution envisioning sessions to translate business needs into scalable solution architectures and implementation roadmaps
• Design, develop, and deploy cloud-native applications, APIs, microservices, and enterprise integrations that accelerate time-to-value
• Build and implement Generative AI, Agentic AI, machine learning, and Retrieval-Augmented Generation (RAG) solutions, including AI copilots, intelligent workflows, and autonomous agents
• Own technical delivery across client-facing initiatives, driving rapid iteration, production readiness, adoption, and measurable business outcomes

Requirements:

• Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, or a related field
• 5+ years of experience in software engineering, solution architecture, technical consulting, customer-facing engineering, or similar roles
• Strong programming expertise in one or more languages such as Python, Java, C#, JavaScript/TypeScript, or Go
• Experience developing cloud-native solutions on Azure, AWS, or Google Cloud Platform, including APIs, microservices, CI/CD pipelines, Docker, and Kubernetes
• Strong understanding of software architecture, enterprise integrations, stakeholder management, and client-facing consulting engagements
• Experience translating business requirements into scalable technical solutions and driving projects from concept through production deployment
• Experience deploying Generative AI, Agentic AI, machine learning, or advanced analytics solutions in enterprise environments
• Hands-on experience with LLM platforms such as Azure OpenAI, OpenAI, Anthropic Claude, or Google Gemini
• Experience with AI frameworks and orchestration platforms including LangChain, LangGraph, Semantic Kernel, vector databases, and knowledge graph solutions
• Experience building AI copilots, intelligent automation solutions, RAG architectures, and enterprise knowledge management platforms
• Experience working directly with clients in consulting, solution engineering, customer engineering, or forward deployed engineering capacities
• Experience delivering technology solutions across industries such as Healthcare, Financial Services, Retail, Manufacturing, or Logistics
• Strong executive communication and stakeholder management skills