We are seeking a talented and experienced Senior AI Developer to design, implement, and scale out an Agentic AI platform built on Intel CPU/GPU/NPU and edge infrastructure. This role focuses on building a foundation platform that enables both developers and non-technical users to create, orchestrate and deploy AI agents using Intel AI super builder, MCP-based workflows and multimodal AI pipelines. You will work across the full lifecycle of AI systems – from agent creation and orchestration to multimodal processing and business outcome optimization – ensuring solutions are scalable, reliable and production -ready across edge and cloud environments.
This role sits within Lenovo’s Solutions & Services Group (SSG), the global organization that brings together our end‑to‑end AI solutions and services to turn customer vision into value. You'll be joining a new distributed engineering team which extends Personal agentic platforms like OpenCLAW, Hermes etc. into AI native personal delivery platforms that powers Lenovo's Agentic AI strategy across Hybrid cloud, on-Prem and edge.
Key Responsibilities:
Platform and Architecture
-
Design and develop a scalable Agentic AI platform leveraging Intel AI super builder and MCP based architectures
-
Build end to end systems including Agent frameworks, orchestration layers, inference pipelines and user interfaces
-
Integrate AI solutions across edge, on-premise and cloud environments
Agent Frameworks and workflow orchestration
-
Develop and Extend MCP-based work flow orchestration and Data ingestion systems
-
Implement Trigger-based workflows ( Scheduled RAG + MCP pipelines)
-
Multi-agent Coordination pipelines ( eg : evaluate à summarize à score)
-
Seamless integration of multiple data source and MCP servers
-
Build reusable agent templates and tools
Multimodal AI systems
-
Develop multi modal AI pipelines for
-
Audio ( transcription, summarization, chapterization)
-
Video ( CCTV/Ring-style summarization, event detection)
-
Vision-language reasoning (VLM-based systems)
-
Implement orchestration and validation pipelines for multimodal workflows
-
Optimize inference for edge deployment on Intel CPU/GPU/NPU platforms
Business-oriented Agents
-
Build domain-specific AI agents aligned to measurable business outcomes, including
-
Staff interaction tracking
-
Customer journey intelligence
-
Translate AI outputs into business KPIs and actionable insights
-
Collaborate with stake holders to align AI systems with revenue, efficiency and customer experience goals
Control plane, GenAIOps and performance optimization
-
Design and implement a centralized control plane for Agent orchestration, routing scheduling and life cycle management
-
Design and reliability agent for monitoring, evaluation, guardrails
-
Maximize utilization across Intel CPU/GPU/NPU and dynamically schedule workloads
Basic Qualifications:
-
Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or a related field.
-
5+ years in AI/ML system development across domains (NLP, CV, Multimodal AI)
Preferred Qualifications:
-
2+ years of experience in developing Generative AI / Agentic AI systems in production environments
-
Strong experience with
-
LLMs, SLMS, VLMS
-
Agent orchestration frameworks ( MCP or similar paradigms)
-
Experience building multi-agent systems and workflow pipelines
-
Knowledge of RAG architectures and vector databases
Systems and Infrastructure
-
Experience with Edge + on prem + cloud deployments
-
Kubernetes and containerized environments
-
Familiarity with Intel AI stack ( Open Vino, CPU/GPU optimization) is a plus
-
Experience with NVIDIA stack ( CUDA, TensorRT) is a plus
Programming
-
Strong coding skills in Python ( Mandatory)
-
Frontend frameworks ( React or similar)
-
Scripting and automation tools
What Makes this role Unique
-
Opportunity to build production -grade Agentic AI platform on Intel Hardware
-
Work across
-
Agent orchestration ( MCP)
-
Multimodal AI systems
-
Edge-to-cloud deployment architectures
-
Direct impact on business KPI-driven applications in real -world environments
