Description and Requirements
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
This role offers the flexibility to be home-based anywhere in the with preference for the Eastern or Central time zones. If you're near our Chicago or Raleigh offices, we follow a friendly hybrid model with three days a week in the office—great for collaboration and connection! The base salary range budgeted for this position is $150,000 to $175,000 Individuals may also be considered for bonuses and/or commissions. Lenovo’s various benefits can be found at [1] face="arial" size="2">
In compliance with Colorado's EPEWA, the expected Application Deadline for this position is 8/1/2026 - this applies to both internal and external candidateIf you are passionate about AI development and eager to take on a challenging yet rewarding role that makes a real impact, we invite you to connect with us!