Google Gemini AI Architect

Tata Consultancy Services; Cleveland (OH); On-site; USD 110,000 - 150,000; Full time

Benefits offered by this job

Discretionary Annual Incentive

Comprehensive Medical Coverage

Maternal & Parental Leaves

401K Plan

Performance Bonus

Vacation and Sick Leave

Job summary

A leading consulting firm in Cleveland, OH is seeking a Google Gemini AI Architect. This role involves designing and deploying AI solutions, particularly focused on LLMs and Generative AI. Candidates must have a strong background in solutions architecture and cloud platforms, particularly Google Cloud. The position offers a competitive salary and comprehensive employee benefits. This is an excellent opportunity for those looking to leverage their expertise in AI within the manufacturing domain.

Qualifications

• Requires 6+ years in solutions architecture, AI/ML engineering, or technical consulting.
• Strong experience specifically with LLMs and Generative AI in production.
• Deep knowledge of Google Cloud Platform (GCP) and Terraform.

Responsibilities

• Architecting end‑to‑end Generative AI solutions including Retrieval‑Augmented Generation (RAG).
• Integrating Gemini models into enterprise applications and managing optimization.
• Implementing AI guardrails to ensure security, privacy and compliance.
• Acting as a technical advisor to C‑level stakeholders on best practices.
• Leading hands‑on development of Proofs of Concept (PoCs) and MVPs.

Skills

Solutions architecture

AI/ML engineering

Vertex AI

Python

BigQuery

Google Kubernetes Engine (GKE)

Infrastructure-as-code (Terraform)

Google Cloud Platform (GCP)

Generative AI

Communication skills

Education

Google Cloud Professional Certifications

Job description

Cleveland, OH | 10 - 18 years of experience

Job Description

Technical/Functional Skills

• Experience: Requires 6+ years in solutions architecture, AI/ML engineering, or technical consulting. The experience should include at least 1–2+ years focused specifically on LLMs and Generative AI in production.
• Technical skills: Requires deep knowledge of Vertex AI, Python, BigQuery, and Google Kubernetes Engine (GKE), Vector databases
• Cloud proficiency: Requires strong experience with Google Cloud Platform (GCP) and infrastructure-as-code (Terraform).
• Certifications: Google Cloud Professional Certifications, such as Professional Cloud Architect or Machine Learning Engineer.
• Demonstratable experience on GCP
• Verbal and written communication skills

We are looking for a Google Gemini AI Architect with strong manufacturing domain expertise and consulting mindset to help industrial enterprises design, deploy, and scale data and AI platforms across plants and enterprise systems.

Responsibilities

• AI architecture and design: Architecting end‑to‑end Generative AI solutions, including Retrieval‑Augmented Generation (RAG) pipelines, multi‑agent systems, and prompt engineering strategies.
• Vertex AI and Gemini integration: Integrating Gemini Pro/Ultra models into enterprise applications, managing fine‑tuning, evaluation, and inference optimization.
• Security and governance: Implementing AI guardrails, ensuring security, data privacy, and compliance within AI workflows (e.g., managing data residency and access controls).
• Strategic advisory: Acting as a technical advisor to C‑level stakeholders, defining roadmaps, ROI, and best practices for adopting Google Gemini Enterprise.
• Prototyping and development: Leading hands‑on development of Proofs of Concept (PoCs) and Minimum Viable Products (MVPs) to validate designs.

Innovation and Experimentation

• Evaluate and prototype new tools and techniques in autonomous agents, synthetic data generation, multi‑modal models, and AI orchestration.
• Collaborate with product and business teams to conceptualize AI‑powered assistants, copilots, and automation flows.

Leadership and Mentorship

• Provide technical leadership to data scientists, prompt engineers, and AI developers.
• Promote a culture of innovation, experimentation, and measurable business impact through AI.

Generic Managerial Skills, If any

• Coordination and collaboration with multiple stakeholders
• Guiding and leading the team members

Base Salary Range: $110,000 - $150,000 per annum

Employee Benefits

• Discretionary Annual Incentive
• Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans
• Family Support: Maternal & Parental Leaves
• Insurance Options: Auto & Home Insurance, Identity Theft Protection
• Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement
• Time Off: Vacation, Time Off, Sick Leave & Holidays
• Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing