About the Role
As a Forward Deployment Engineer, you will make an impact by designing, developing, and deploying innovative Generative AI-powered solutions that accelerate software delivery, improve developer productivity, and transform enterprise engineering workflows. You will be a valued member of the engineering team and work collaboratively with product teams, business stakeholders, platform engineering teams, and client partners to integrate GenAI capabilities into modern software development environments. Based on the Cognizant Global Job Posting Template, this posting focuses on the most critical responsibilities and qualifications required for success in the role.
Work model
This is a hybrid role based on business requirements in Charlotte, NC and/or Irving, TX. Regardless of work arrangement, we support a healthy work–life balance through our 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.
Important Disclaimers:
**Please note: A few of our roles may require in-person interviews at Cognizant offices or client locations, depending on project or client needs.**
**Candidate must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future**
In This Role, You Will:
- Design, develop, and deploy Generative AI-powered applications and engineering solutions using leading AI platforms and tools.
- Integrate AI and developer productivity tools into enterprise software development lifecycle (SDLC) workflows, including CI/CD pipelines and engineering platforms.
- Partner with cross-functional teams to accelerate product delivery, improve engineering efficiency, and enhance the end-to-end application lifecycle.
- Lead adoption, enablement, and best practices for Generative AI technologies, including prompt engineering, agent-based workflows, and AI-assisted development.
- Provide hands-on technical leadership, troubleshooting, performance optimization, and scalable implementation support across enterprise environments.
What You Need to Have to Be Considered
- 16+ years of experience in software engineering, application development, or technology consulting roles.
- Strong expertise in Java 17 and Spring Boot microservices development.
- Proven experience developing modern full-stack applications using technologies such as Java, React, Angular, TypeScript, and Python.
- Hands-on experience with distributed systems, APIs, event-driven architectures, and cloud-native microservices.
- Experience implementing and supporting CI/CD pipelines, developer platforms, and modern engineering toolchains.
- Strong knowledge of cloud platforms such as Google Cloud Platform (GCP) and OpenShift (OCP).
- Hands-on experience with Generative AI and Large Language Model technologies, including tools such as Devin, Claude, and modern AI-assisted development platforms.
- Experience with prompt engineering, Retrieval-Augmented Generation (RAG), agent-based workflows, and AI orchestration frameworks.
- Ability to independently drive technical solutions from inception through deployment with minimal supervision.
- Experience working within enterprise environments that require governance, security, and regulatory compliance.
These Will Help You Stand Out
- Experience designing and implementing multi-agent architectures and autonomous AI workflows.
- Knowledge of Model Context Protocol (MCP) servers and AI tool integrations.
- Experience building AI-enabled developer productivity solutions at enterprise scale.
- Strong consulting and stakeholder management skills with the ability to translate business challenges into technical solutions.
- Passion for mentoring teams, driving technology adoption, and delivering measurable productivity improvements.
- Experience supporting large-scale enterprise transformations involving AI-assisted software delivery.
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.
Salary and Other Compensation:
The annual salary for this position is between $81,000 – $155,000 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.
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.
Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.
关于高知特 (Cognizant)
高知特(Cognizant)（纳斯达克代码：CTSH）作为一家AI Builder和相关技术服务提供商，致力于通过打造全栈AI解决方案，帮助企业将人工智能投资转化为实际价值。公司凭借深厚的行业经验、流程优化和工程技术专长，将企业独特的业务场景融入科技系统，赋能组织释放人才潜能，推动切实成果，并帮助全球企业在瞬息万变的环境中保持领先。如需了解更多详情，敬请访问 cognizant.ai 或关注@cognizant。
补充雇佣信息
薪酬信息截至本职位发布之日为准。Cognizant 保留在适用法律允许的范围内随时修改该信息的权利。
申请人可能需要通过现场面试或视频会议的方式参加面试。此外，候选人在每次面试时可能需要出示其当前所在州或政府签发的有效身份证件。
Cognizant 是一家提供平等就业机会的雇主。在招聘过程中，您的申请和候选资格不会因种族、肤色、性别、宗教、信仰、性取向、性别认同、国籍、残疾、遗传信息、怀孕、退伍军人身份或任何其他受联邦、州或地方法律保护的特征而受到影响。
