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AI/ML Engineer/AI/ML Technical Lead/AI/ML Technical Architcet

Envision Technology SolutionsCA🇺🇸United StatesPosted 8 Sept 2026

Why This Role Stands Out

This hybrid role offers a fantastic opportunity to lead cutting-edge AI/ML projects, leveraging your expertise in Python, cloud platforms, and LLM development to build innovative solutions. You'll thrive here if you're a proactive problem-solver passionate about designing and implementing advanced AI applications, with the flexibility to contribute from either Santa Clara or Milford. Don't miss out on this chance to shape the future of AI with Envision Technology Solutions!

Quick Overview

Seniority
Mid Senior
Work mode
Hybrid
Location
CA, United States
Posted
Yesterday
MicroservicesGoogle CloudLLMPythonREST

Job Description

Role 1: AI/ML Engineer

Role 2: AI/ML Technical Lead

Role 3: AI/ML Technical Architcet

Location: Santa Clara, CA and Milford, OH

Job Type: Fulltime

Job Description

Must Have Technical/Functional Skills

Must have strong hands-on experience in Python programming, API development,

and cloud-native application development (4 Years Minimum).

Must have experience building prototypes, solution accelerators, and enterprise integrations

using cloud technologies.

Must have two years' experience with Google Cloud Platform (Google Cloud Platform), Vertex AI, Gemini APIs,

or similar AI platforms.

Must have experience in Prompt Engineering, LLM application development, and AI solution implementation.

Must have experience developing Agentic AI workflows, AI agents, and orchestration frameworks.

Must have experience with REST APIs, microservices, and third-party system integrations.

Must have experience working with containerization, CI/CD, and production deployment practices.

Must possess strong stakeholder communication and customer-facing solutioning skills

Roles & Responsibilities

Design and develop AI-powered prototypes, accelerators, and customer-facing solutions.

Build and integrate applications using Gemini APIs, Vertex AI, and Google Cloud services.

Develop agentic workflows, AI assistants, and multimodal solution demonstrations.

Collaborate with customers, partners, and cross-functional teams to validate business use cases.

Translate business requirements into scalable technical architectures and solutions.

Build Proof of Concepts (PoCs) and demonstrate business value through rapid prototyping.

Support deployment, optimization, and troubleshooting of AI solutions in cloud environments.

Stay current with emerging AI technologies and apply them to customer scenarios

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