Senior Forward Deployed Engineer

Cisco; Hyderabad; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

Cisco Systems, Inc in Hyderabad is seeking a Forward Deployed Engineer to bridge software engineering, customer engagement, and product innovation for large-scale AI deployments. You will partner with Fortune 100 enterprises to deploy and scale AI systems in production.

You will design scalable architectures, guide implementations, and build reusable tools while collaborating with Product and Engineering to influence the platform’s future.

Qualifications

• 7+ years of production-grade software engineering experience, or Master’s +4 years of related work.
• Experience with APIs, distributed systems, cloud platforms, or backend development.
• Strong troubleshooting and problem-solving across multiple technology layers.
• Excellent communication with enterprise customers and stakeholders.
• Comfortable in fast-paced, ambiguous environments; interest in AI/ML.

Responsibilities

• Partner with enterprise customers to understand technical requirements and goals.
• Design scalable AI solution architectures for production deployments.
• Build integrations, prototypes, and reusable tools to accelerate success.
• Lead technical workshops, architecture discussions, and troubleshoot issues.
• Collaborate with Product and Engineering to capture feedback and influence direction.
• Create documentation and assets to benefit future deployments.

Skills

Software engineering

Enterprise customer interaction

APIs & distributed systems

Cloud platforms

Troubleshooting

Education

Bachelor's degree in Computer Science or related field

Master's degree in related field

PhD in related field

Job description

Job Summary

Meet the Team

Join a team thats helping some of the worlds largest enterprises successfully deploy AI into production. As a Forward Deployed Engineer (FDE), youll work at the intersection of software engineering, customer engagement, and product innovation. Youll partner closely with customers to solve complex technical challenges while collaborating with Product and Engineering teams to improve the platform based on real-world customer needs.

Youll work on some of the most challenging AI deployments in the industry, partnering with Fortune 100 organizations to bring cutting-edge AI systems into production. Every engagement influences not only customer success, but also the future direction of the product. If you enjoy solving hard engineering problems, working directly with customers, and building technology that scales beyond a single implementation, wed love to hear from you.

Your Impact

As a Forward Deployed Engineer, you will:

• Partner with enterprise customers to understand technical requirements and business goals.
• Design scalable AI solution architectures and guide customers through production deployments.
• Build integrations, prototypes, and reusable tools that accelerate customer success.
• Lead technical workshops, architecture discussions, and troubleshoot complex production issues.
• Collaborate with Product and Engineering teams to share customer feedback and influence future product enhancements.
• Create documentation, reusable best practices, and technical assets that benefit future deployments.

Minimum Qualifications

• Bachelors degree in Computer Science or a related technical field (or equivalent experience).
• 7+ years of strong software engineering experience building production-grade applications, or Masters + 4 years of related experience, or PhD + 1 year of related experience.
• Experience with APIs, distributed systems, cloud platforms, or backend development.
• Strong troubleshooting and problem-solving skills across multiple layers of the technology stack.
• Excellent communication skills and the ability to work directly with enterprise customers.
• Comfortable working in fast-paced, ambiguous environments.
• Interest in AI, Machine Learning, or developer platforms.

Preferred Qualifications

• Experience deploying or supporting Generative AI, LLM, or Machine Learning applications in production.
• Experience with Kubernetes, cloud infrastructure, observability, or MLOps.
• Experience building customer-facing technical solutions or integrations.
• Experience creating reusable developer tools, frameworks, or open-source contributions.
• Consulting, Solutions Engineering, or Technical Customer Success experience in enterprise environments.