AI Developer
Role details
Job location
Tech stack
Job description
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., 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
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Develop multi modal AI pipelines for
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Audio ( transcription, summarization, chapterization)
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Video ( CCTV/Ring-style summarization, event detection)
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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
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Build domain-specific AI agents aligned to measurable business outcomes, including
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Staff interaction tracking
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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, This role offers the flexibility to be home-based anywhere in the U.S. 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] www.lenovobenefits.com In compliance with Colorado's EPEWA, the expected Application Deadline for this position is 8/1/2026 - this applies to both internal and external candidate If 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!
We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, religion, sexual orientation, gender identity, national origin, status as a veteran, and basis of disability or any federal, state, or local protected class.
Requirements
- 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:
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2+ years of experience in developing Generative AI / Agentic AI systems in production environments
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Strong experience with
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LLMs, SLMS, VLMS
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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