Google Gemini AI Architect
Tata Consultancy Services, Cleveland, OH, United States
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
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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
#J-18808-Ljbffr