# Senior Solution Architect / Delivery Manager

**Company**: Cisco
**Location**: Bangalore, India
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: full-time
**Category**: Engineering
**Industry**: Technology

**Apply**: https://cisco.wd5.myworkdayjobs.com/en-US/Cisco_Careers/job/Bangalore-India/Senior-Solution-Architect---Delivery-Manager_2022284?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_b4f1564a-f07

## Description

## Job Summary

As a Senior Solution Architect / Delivery Manager within the Component Central Operations (CCO) Data & Analytics team at Cisco, 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.

## Key Responsibilities

- 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.

## Requirements

- 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.

## Nice to Have

- 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 development, APIs, cloud platforms, and full-stack technologies.

- Experience defining and implementing AI-ready data governance and data quality frameworks.

- Proven experience leading large transformation programs and driving technology adoption.

- Strong business acumen with the ability to translate complex technical concepts into measurable business outcomes.

- Additional certifications in Data Science, AI, Cloud, or related disciplines are preferred.

## Skills

### Required
- Generative AI
- LLM-powered applications
- Agentic AI
- autonomous workflows
- tool calling
- multi-agent orchestration
- RAG
- embeddings
- vector databases
- semantic retrieval
- reranking
- AI evaluation
- prompt engineering
- structured outputs
- guardrails
- workflow optimization
- machine learning
- statistical modeling
- time-series analysis
- optimization techniques
- Data Science
- Computer Science
- Engineering
- Information Systems

### Nice to have
- semiconductor
- electronics
- manufacturing
- supply chain environments
- Demand/Supply Planning
- IBP
- Manufacturing Operations
- Quality
- Inventory Management
- MCP
- A2A
- Agentic AI frameworks
- LLM fine-tuning
- AI evaluation frameworks
- Snowflake
- Oracle ERP
- MES
- enterprise application development
- APIs
- cloud platforms
- full-stack technologies
- AI-ready data governance
- data quality frameworks

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