Senior AI Solutions Consultant – Generative & Agentic AI

Mogi I/O : OTT/Podcast/Short Video Apps for you; Santa Cruz (CA); On-site; USD 150,000 - 199,000; Full time

Benefits offered by this job

Bonus up to 20%

Client workshops

Flexible working environment

Job summary

A technology firm is seeking a Senior AI Solutions Consultant specializing in Generative and Agentic AI. The role requires a deep understanding of machine learning and cloud platform deployment. Candidates should have at least 12 years of experience, primarily in AI/ML, with robust skills in Python and major ML frameworks like TensorFlow and PyTorch. The position offers a competitive salary up to USD 199,000 plus bonuses and requires relocation options within the US. The ideal candidate will engage in client advisory and develop end-to-end AI solutions.

Qualifications

• 12–15 years of experience in AI/ML, including 2+ years in Generative AI.
• Strong expertise in ML, DL, NLP, vision systems, and time‑series modeling.
• Proficiency in Python and ML frameworks.

Responsibilities

• Identify AI use cases and lead workshops.
• Build PoCs and prototypes to validate business value.
• Deploy AI solutions on AWS/Azure/GCP.

Skills

Machine learning

Deep learning

Generative AI

Agentic AI

Python

MLOps

Communication skills

Tools

TensorFlow

PyTorch

Docker

Kubernetes

AWS

Azure

GCP

Job description

Senior AI Solutions Consultant – Generative & Agentic AI

Work Type: Direct Hire / Full-Time
Experience Required: 10 – 21 Years
Compensation: USD 150,000 – 199,000 Per Annum + Bonus up to 20%
Eligibility: Green Card Holders, US Citizens, H1B Transfer
Travel Requirement: As Required (Client Workshops & Solutioning)

Job Overview

We are seeking a highly experienced AI Consultant with strong expertise in machine learning, deep learning, generative AI, and agentic AI, backed by robust domain knowledge in Manufacturing & Service Lifecycle Management (SLM). The ideal candidate is a full‑stack AI engineer capable of architecting, developing, and scaling AI solutions across automotive, commercial vehicles, heavy equipment, and industrial manufacturing environments. This role blends hands‑on technical work with consultative leadership, including pre‑sales support, client advisory, PoCs, and end‑to‑end AI solution delivery.

Key Responsibilities

• Identify AI use cases, lead workshops, and design scalable solutions.
• Build PoCs and prototypes to validate business value.
• Develop AI pipelines for vision, NLP, and time‑series.
• Build GenAI apps, agent workflows, and RAG‑based knowledge systems.
• Own end‑to‑end delivery from data to deployment.
• Deploy AI solutions on AWS/Azure/GCP.
• Implement MLOps pipelines, CI/CD, and monitoring.
• Deploy models via Docker/Kubernetes and APIs.
• Apply AI to design, production, quality, and service operations.
• Build predictive maintenance, defect detection, and process optimization solutions.
• Lead client presentations and innovation demos.
• Mentor teams and contribute to reusable AI frameworks.

Must-Have Qualifications

• 12–15 years of experience in AI/ML, including 2+ years in Generative AI / LLMs / Agentic AI.
• Strong expertise in ML, DL, NLP, vision systems, and time‑series modeling.
• Proficiency in Python and ML frameworks: TensorFlow, PyTorch, Scikit‑learn, Hugging Face, LangChain.
• Proven cloud delivery experience on AWS / Azure / GCP.
• Hands‑on experience with Docker, Kubernetes, API deployment.
• Proficiency in MLOps/LLMOps tools: MLflow, Azure ML, Vertex Pipelines, Kubeflow.
• Strong knowledge of manufacturing operations, IoT, field service, and SLM data models.
• Excellent communication & client‑facing skills.

Nice-to-Have Qualifications

• Experience with Digital Twins, Predictive Maintenance, Industrial IoT.
• Knowledge of vector DBs: Pinecone, Weaviate, FAISS, Azure AI Search.
• Familiarity with PLM/ERP/SLM systems: PTC Windchill, Teamcenter, SAP S/4HANA.
• Automotive, commercial vehicle, or heavy machinery industry background.
• Cloud AI certifications (AWS ML Specialty, Azure AI Engineer, GCP ML Engineer).

Seniority level

Mid‑Senior level

Employment type

Full‑time

Job function

Consulting, Information Technology, and Sales