AI Consultant
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Job Location:
Santa Clara County, CA - USA
Monthly Salary:
Not Disclosed
Experience Required:
10years
Posted on:
19 hours ago
Vacancies:
1 Vacancy
Job Summary
About the Role
We are hiring for our client a leading organization seeking a highly experienced AI Consultant with deep expertise across machine learning deep learning Generative AI and enterprise-scale AI solutioning. This role requires strong domain experience in Manufacturing Service Lifecycle Management (SLM) and Media & Entertainment with the ability to drive solution selling practice development and full-stack AI engineering.
The ideal candidate is a senior full-stack AI professional who can architect prototype and deploy AI/ML systems while also leading client-facing consulting engagements workshops and pre-sales activities.
Key Responsibilities
1. AI Solutioning & Consulting
Engage with manufacturing service and media industry leaders to identify high-value AI opportunities.
Lead pre-sales discussions client workshops and AI maturity assessments.
Build proof-of-concepts rapid prototypes and demos that showcase measurable business value.
Translate business requirements into scalable AI/ML architectures and solution roadmaps.
2. Technical Leadership
Design and develop full end-to-end AI systems for time series modeling anomaly detection computer vision NLP and document understanding.
Build GenAI solutions including agentic workflows AI copilots parts-lookup assistants and technician/service knowledge tools.
Implement RAG pipelines integrating domain documentation service manuals IoT telemetry and enterprise data.
Support the entire lifecycle from data engineering to modeling deployment testing and optimization.
3. Cloud Engineering & MLOps
Deliver AI workloads using AWS (SageMaker Bedrock) Azure (ML OpenAI AI Studio) or GCP (Vertex AI Gemini).
Implement robust MLOps/LLMOps workflows including CI/CD versioning automated deployments and monitoring.
Deploy containerized workloads via Docker/Kubernetes and expose models via APIs (FastAPI Flask etc.).
Integrate with IoT/edge platforms to enable predictive real-time and offline inference.
4. Domain Expertise Manufacturing & SLM
Apply AI across product design production aftersales warranty analytics and dealership/service operations.
Implement use cases such as digital twins defect detection yield optimization predictive maintenance and spare parts forecasting.
Build GenAI copilots for technicians engineers and service networks.
Enable closed-loop intelligence across engineering manufacturing and service teams.
5. Thought Leadership & Practice Development
Represent the organization in solutioning sessions RFP responses and innovation showcases.
Support practice development initiatives by shaping methodologies accelerators and industry frameworks.
Mentor teams on industrial AI full-stack development and GenAI best practices.
Requirements
1215 years of experience in AI/ML.
2 years in Generative AI LLMs or Agentic AI.
Strong background in ML deep learning NLP computer vision and time-series modeling.
Expertise in Python TensorFlow PyTorch Scikit-learn Hugging Face and LangChain.
Proven delivery experience on AWS Azure or GCP.
Hands-on experience with Docker Kubernetes and API deployment.
Familiarity with MLOps / LLMOps platforms such as MLflow Azure ML Vertex AI Pipelines Kubeflow.
Deep understanding of manufacturing operations IoT/edge AI and SLM data models.
Strong communication and presentation skills for both technical and business stakeholders.
Experience in Media & Entertainment solution selling and practice development.
Demonstrated job stability throughout career.
Preferred Qualifications
Knowledge of Digital Twin frameworks predictive maintenance systems and industrial IoT.
Experience with vector databases (Pinecone Weaviate FAISS Azure AI Search).
Familiarity with PLM ERP and SLM platforms such as PTC Windchill Siemens Teamcenter SAP S/4HANA.
Background in automotive commercial vehicle or heavy equipment industries.
Professional cloud/AI certifications (Azure AI Engineer AWS ML Specialty GCP ML Engineer).
Why Join This Opportunity
Be a key contributor driving AI-led transformation across manufacturing aftersales media and enterprise operations.
Work on next-generation AI tools such as copilots autonomous agents and predictive intelligence systems.
Collaborate with a highly skilled team of AI and domain experts.
Influence the future of service lifecycle management through automation GenAI and data-driven innovation.
Benefits
Required Skills:
Generative AI LLMs Agentic AI. machine learning Python AWS Azure GCP MLOps LLMOps tools
Company Industry
IT Services and IT Consulting
Key Skills
- Sales Experience
- Direct Sales
- Hyperion
- Financial Services
- Financial Concepts
- Banking
- Oracle EBS
- Securities Law
- Peoplesoft
- Oracle
- Financial Management
- Workday
