AI Architect

Position: AI Architect

Location: Torrance, CA(Onsite)

Duration: 12 Months Contract

Job Description:

Experience

* 10+ years overall experience, with 5+ years in AI/ML and GenAI architecture and implementation, and strong cloud native delivery experience

Role Summary:

* The AI Architect will be responsible for designing, architecting, and implementing large scale AI solutions for Automotive and Manufacturing enterprises, leveraging modern cloud platforms and AI technologies.

* This role demands strong hands on experience in AI/ML, GenAI, data platforms, and MLOps, along with deep understanding of manufacturing and automotive business processes such as smart factories, predictive maintenance, quality analytics, connected vehicles, and supply chain optimization.

* The architect will act as a technical leader, working across business stakeholders, solution teams, and cloud platforms to deliver production grade, scalable AI solutions.

Key Responsibilities:

AI Architecture & Solution Design

* Design end to end AI / ML / GenAI architectures for Automotive and Manufacturing use cases

* Define cloud native reference architectures for AI workloads on AWS, Azure, or GCP

* Translate business requirements into secure, scalable, and cost optimized AI solutions

* Align AI architectures with enterprise security, compliance, and governance standards

AI / ML / GenAI Implementation

* Lead hands on implementation of AI solutions, including:

* Machine Learning and Deep Learning models

* GenAI solutions using LLMs (RAG, embeddings, prompt engineering)

* Computer Vision and NLP use cases relevant to manufacturing and automotive

* Ensure transition from POC → Pilot → Production

* Build and deploy AI pipelines for training, inference, and monitoring

Automotive & Manufacturing Use Cases

* Design and deliver AI solutions for:

* Predictive maintenance and asset health monitoring

* Quality inspection using computer vision

* Smart manufacturing / Industry 4.0 initiatives

* Supply chain optimization and demand forecasting

* Connected vehicle and telematics analytics

* Warranty analytics and root cause analysis

* Work with plant, operations, and engineering teams to align AI solutions with real world workflows

Cloud & Platform Engineering

* Architect AI platforms on:

* AWS (SageMaker, Bedrock, EKS, Lambda, S3)

* Azure (Azure ML, Azure OpenAI, Synapse, Data Factory)

* GCP (Vertex AI, BigQuery, Cloud Run)

* Design containerized and microservices based AI systems

* Implement integrations with enterprise systems (ERP, MES, PLM, IoT platforms)

MLOps, Governance & Scalability

* Establish MLOps frameworks for CI/CD, model versioning, deployment, and retraining

* Implement monitoring for:

* Model performance and drift

* Data quality and pipeline health

* Cost and usage optimization

* Ensure AI solutions comply with responsible AI, explainability, and regulatory requirements

Required Skills & Experience:

AI / Data Technologies

* Strong expertise in:

* Machine Learning, Deep Learning, NLP

* GenAI and LLM architectures (RAG, vector search)

* Hands on experience with:

* TensorFlow, PyTorch, Scikit learn

* LangChain / LlamaIndex (preferred)

* Vector databases (Pinecone, FAISS, Milvus)

Cloud & Engineering

* Strong experience in at least one major cloud platform

* Solid programming skills in Python (mandatory)

* Experience with:

* REST APIs, event driven architectures

* Docker, Kubernetes

* Infrastructure as Code (Terraform / ARM / CloudFormation)

Domain Experience (Mandatory)

* Proven experience delivering AI solutions for:

* Automotive

* Manufacturing / Industrial enterprises

* Strong understanding of plant operations, engineering data, and operational KPIs

Nice to Have:

* Experience in global, multi vendor enterprise programs

* Exposure to IoT platforms and streaming data

* Cloud and AI certifications (AWS / Azure / GCP)

* Experience in AMS / Support platforms or operational analytics.

If interested, Please share your updated resume and let me know your best time to discuss further.

Thanks & Regards,

Karunakar Aakiti

Resource Specialist

[email protected]

Yochana Solutions INC.