Job description

About Cognizant Consulting Cognizant Consulting is more than Cognizant’s consulting practice. We are a global community of 5,000+ experts dedicated to helping clients reimagine their business. Blending our deep industry and technology advisory capabilities, we create innovative business solutions for Fortune 500 clients. And now, we are looking for our next colleague who will join us in shaping the future of business. Could it be you? About the Role As a Forward Deployed Engineer , you will make an impact by partnering directly with clients to rapidly design, build, and deploy innovative AI, data, cloud, and digital solutions that deliver measurable business outcomes. You will be a valued member of the Cognizant Consulting team and work collaboratively with clients, business stakeholders, architects, product managers, data scientists, and engineering teams. In This Role, You Will: • 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. Work Model We believe hybrid work is the way forward as we strive to provide flexibility wherever possible. Based on this role’s business requirements, this position requires travel as needed and a minimum of three days per week in a Cognizant office or client location in Atlanta/ NJ. 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 are engaged in, as well as business and client requirements. Rest assured, we will always be clear about role expectations. What You Must Have to Be Considered • 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, or customer-facing engineering 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 system integration, stakeholder management, and client-facing consulting engagements. These Will Help You Succeed • 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 delivering technology solutions across industries such as Healthcare, Financial Services, Retail, Manufacturing, or Logistics. 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. Compensation $130,000 - $158,500 This position is eligible for Cognizant’s discretionary annual incentive program, based on performance and subject to the terms of Cognizant’s applicable plans. Benefits • Medical, dental, vision, and life insurance • 401(k) plan and contributions • Employee stock purchase plan • Employee assistance program • Paid holidays plus PTO • Paid parental leave and fertility assistance • Learning and development certifications and programs About Cognizant: Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, bridging the gap between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization’s unique context into technology systems that amplify human potential, drive tangible outcomes and keep global enterprises ahead in a fast-changing world. See how at cognizant.ai or @cognizant. Additional employment information Compensation 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. 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. Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws. If you have a disability that requires reasonable accommodation to search for a job opening or submit an application, please email CareersNA2@cognizant.com for roles based in the Americas or CareersIndia2@cognizant.com for roles based in India.

Requirements

Must-haves

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.
What You Must Have to Be Considered
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, or customer-facing engineering 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 system integration, stakeholder management, and client-facing consulting engagements.
These Will Help You Succeed
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 delivering technology solutions across industries such as Healthcare, Financial Services, Retail, Manufacturing, or Logistics.

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aimachine learningrestpythonjavajavascripttypescriptgoazureawsci/cddockerkubernetesllm

Platform: cognizant
Effort: medium

Benefits

Benefits detected in the listing.

Dental

Vision

401(K)

Pto

Parental Leave