Software Consulting Engineer - Ai/ML

Responsibilities

• This role offers the opportunity to work on cutting-edge technologies including Generative AI, Agentic AI frameworks, GPU-accelerated infrastructure, MLOps platforms, and cloud-native AI ecosystems while driving meaningful customer transformation initiatives.
• Lead the design, development, and deployment of scalable AI/ML and GenAI-powered solutions for enterprise environments.
• Build and manage AI/ML pipelines for model training, inference, observability, monitoring, and automation.
• Support presales engagements by translating customer business requirements into scalable AI/ML solution architectures.
• Develop AI agents, intelligent workflows, and LLM-powered applications to accelerate customer outcomes.
• Drive customer technology transformation initiatives while influencing AI/ML solution strategy, architecture, and delivery execution.

Requirements

• BE/B.Tech/B.Sc. in Computer Science, Engineering, or equivalent with 8+ years of relevant industry experience.
• Strong hands-on experience in Python and AI/ML development frameworks.
• Experience with AI/ML ecosystems including PyTorch, TensorFlow, Scikit-learn, Hugging Face, LangChain, or LlamaIndex.
• Deep understanding of Software Development Lifecycle (SDLC), MLOps, CI/CD pipelines, and Agile methodologies.
• Experience designing and deploying AI infrastructure across cloud, GPU-accelerated, containerized, and distributed computing environments.
• Experience with Generative AI, Agentic AI frameworks, and LLM-based application development.
• Expertise with Kubeflow, MLflow, Docker, Kubernetes, KServe, vLLM, and TensorRT-LLM.
• Knowledge of NVIDIA AI ecosystem, CUDA, GPU optimization, and distributed AI infrastructure.
• Strong problem-solving, debugging, communication, and technical mentoring skills.
• Exposure to AIOps, observability platforms, REST APIs, SQL/NoSQL databases, Linux/Unix environments, and networking concepts.
• Additional Responsibilities
• Participate in services presales activities, SOW creation, solution scoping, and customer proposal discussions.
• Create Customer Requirements Documents, High-Level Designs (HLDs), and implementation plans.
• Provide technical leadership across cross-functional teams spanning AI architecture, operations, and delivery.
• Build customer simulations and lab environments to validate AI/ML solution performance and resolve technical issues.
• Deliver customer documentation, knowledge transfer sessions, and enablement programs for internal and external stakeholders.
• Mentor junior engineers and drive adoption of AI/ML engineering best practices across teams.
• Act as a focal point for complex customer issue resolution and ensure successful engagement delivery.
• Why Cisco?
• We are Cisco, and our power starts with you.

Additional Information

Meet the Team The CX organization is a team of exceptional technical leaders focused on delivering a premier customer experience through innovation, automation, and next-generation technologies. We help customers solve complex business challenges using AI-driven, network-centric solutions that accelerate transformation, operational excellence, and business outcomes. Our success is reflected in strong customer satisfaction, industry recognition, and a culture of continuous learning and innovation.

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Company Intel

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