Senior Solution Architect / Delivery Manager

Cisco; Bengaluru; On-site; INR 4,000,000 - 8,000,000; Full time

Job summary

Cisco Bangalore is seeking a Senior Solution Architect / Delivery Manager to spearhead end-to-end design and delivery of AI-powered supply chain solutions. You will fuse supply chain domain expertise with solution architecture, Generative AI, and data analytics to drive scalable outcomes.

Lead large programs from strategy through deployment, partner with IT and business stakeholders, and shape an AI-ready data strategy while ensuring governance, security, and responsible AI practices across

Qualifications

• Master's or PhD in Data Science, CS, Engineering, or related field.
• 10+ years in enterprise app development, solution architecture, or program management.
• 8+ years leading large-scale data science, analytics, AI, or digital transformation programs.
• Experience leading complex programs and cross-functional teams.
• Strong experience with Generative AI and LLM-powered apps.
• Hands-on experience deploying AI solutions in production.
• Understanding of Agentic AI, autonomous workflows, tool calling, and multi-agent orchestration.
• Experience with RAG, embeddings, vector databases, semantic retrieval, reranking, and AI evaluation.
• Strong prompt engineering, structured outputs, guardrails, and workflow optimization.
• Knowledge of ML, statistics, time-series, and optimization techniques.
• Excellent communication and stakeholder management.

Responsibilities

• Provide domain leadership across Demand and Supply Planning, IBP, Manufacturing Operations, Quality, and Inventory Management.
• Design end-to-end architectures for AI/LLM-powered apps, Agentic AI workflows, and modern data platforms.
• Lead large-scale programs from strategy to deployment and optimization.
• Collaborate with business and tech stakeholders to define requirements, develop strategies, and build ROI-focused business cases.
• Define AI-ready data strategies including governance, quality, integration, and accessibility.
• Explore Agentic AI capabilities, RAG, LLMs, fine-tuning, graph analytics, multi-agent workflows.
• Translate supply chain transformation strategies into actionable data, AI, and analytics roadmaps.
• Provide technical oversight for enterprise apps, dashboards, data products, and AI solutions.
• Partner with IT and cross-functional teams to ensure scalable tech solutions.
• Lead testing, deployment, change management, adoption, and post-implementation optimization.
• Mentor teams and promote reusable, responsible AI with governance.

Skills

Generative AI

LLM-powered apps

Solution architecture

Data science

Program management

Stakeholder management

Communication

Education

Master's or PhD in Data Science/CS/Engineering

Tools

Snowflake

Oracle ERP

Agentic AI frameworks

Job description

Meet the Team

Component Central Operations (CCO) supports Cisco's Components (Silicon and Optical) supply chains, driving business transformation and operational excellence to enable scalable, profitable growth. The CCO Data & Analytics team works across global organizations, combining business architecture, advanced analytics, data science, AI, and program management to deliver strategic business outcomes.

We operate in a fast-paced, highly collaborative environment where technology, data, and innovation come together to solve complex supply chain challenges and create meaningful business impact.

Your Impact

As a Senior Solution Architect / Delivery Manager within the CCO Data & Analytics team, you will lead the end-to-end design and delivery of AI-powered solutions that address complex supply chain challenges across Cisco's component ecosystem.

You will bring together deep supply chain domain knowledge with expertise in solution architecture, Generative AI, Agentic AI, data and analytics, and enterprise application development . You will lead teams and large-scale programs from strategic planning through execution, deployment, adoption, and continuous improvement.

You will also help shape Cisco's AI-ready data and analytics strategy, enabling scalable, intelligent, and technology-driven supply chain operations.

You will:

• Provide domain leadership across Demand and Supply Planning, Integrated Business Planning (IBP), Manufacturing Operations, Quality, and Inventory Management , identifying opportunities to improve business performance through technology and data.
• Design end-to-end architectures for AI/LLM-powered applications, Agentic AI workflows, intelligent automation, analytics solutions, and modern data platforms .
• Lead large-scale programs from strategy and solution definition through development, deployment, adoption, and optimization.
• Partner with business and technology stakeholders to conduct workshops, define requirements, develop solution strategies, and build business cases with clear ROI and cost-benefit analysis .
• Define and drive AI-ready data strategies , including data governance, quality, standards, integration, and accessibility.
• Explore and implement emerging AI capabilities including Agentic AI, RAG, LLMs, fine-tuning, graph analytics, multi-agent workflows, and intelligent automation .
• Translate supply chain transformation strategies into actionable data, AI, and analytics roadmaps .
• Provide technical oversight for enterprise applications, analytical dashboards, data products, and AI solutions.
• Partner with IT, engineering, enterprise architects, and cross-functional teams to ensure scalable and sustainable technology solutions.
• Lead testing, deployment, change management, adoption, and post-implementation optimization.
• Mentor teams and promote technical excellence, reusable solutions, responsible AI, model governance, and reproducibility.
• Ensure AI solutions align with enterprise standards for ethics, security, bias mitigation, transparency, and responsible AI .

Who You'll Work With

You will collaborate closely with CCO business leaders, Supply Chain, Manufacturing, Finance, IT, Data & Analytics, Enterprise Architecture, Engineering, Product teams, and global cross-functional stakeholders to deliver technology-driven business outcomes.

Minimum Qualifications

• Master's or PhD in Data Science, Computer Science, Engineering, Information Systems, or a related quantitative field .
• 10+ years of experience in enterprise application development, solution architecture, technology delivery, or program management .
• 8+ years of experience leading large-scale data science, analytics, AI, or digital transformation programs .
• Demonstrated experience leading complex programs and cross-functional technical teams.
• Strong experience with Generative AI and LLM-powered applications .
• Hands-on experience building or deploying AI solutions in production environments.
• Strong understanding of Agentic AI, autonomous workflows, tool calling, and multi-agent orchestration .
• Experience with RAG, embeddings, vector databases, semantic retrieval, reranking, and AI evaluation .
• Strong prompt engineering skills, including structured outputs, guardrails, and workflow optimization.
• Strong understanding of machine learning, statistical modeling, time-series analysis, and optimization techniques .
• Excellent communication, stakeholder management, analytical, and problem-solving skills.

Preferred Qualifications

• Experience in semiconductor, electronics, manufacturing, or supply chain environments .
• Deep understanding of Demand/Supply Planning, IBP, Manufacturing Operations, Quality, and Inventory Management .
• Hands-on experience with MCP, A2A, Agentic AI frameworks, RAG, LLM fine-tuning, and AI evaluation frameworks .
• Experience designing modern data platforms and data warehouses such as Snowflake .
• Experience integrating data from Oracle ERP, MES, and other enterprise systems .
• Experience with enterprise application devel