AI Forward Deployed Engineer

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.

We strive to provide flexibility wherever possible. Based on this role's business requirements, this is a remote position open to qualified applicants in the United States . Occasional travel may be required to client sites, Cognizant offices, workshops, solution design sessions, and project-related meetings.

Regardless of your working arrangement, we are here to support a healthy work-life balance through our various wellbeing programs.

The working arrangements for this role are accurate as of the date of posting. This may change based on the project you're engaged in, as well as business and client requirements. Rest assured; we will always be clear about role expectations.

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.

We're excited to meet people who share our mission and can make an impact in a variety of ways. Don't hesitate to apply, even if you only meet the minimum requirements listed. Think about your transferable experiences and unique skills that make you stand out as someone who can bring new and exciting things to this role.