Top 134 Ai architect Jobs in San Francisco Ca

Sr. AI Architect
Cognizant —San Francisco, CA
- $174,500 - $204,500 a year
- Full-time
- Hybrid work
- 11+ years
- Databases
- Mentoring
- Paid parental leave
- Employee stock purchase plan
7d
Applied AI Architect, Commercial
Anthropic —San Francisco, CA
- $240,000 - $315,000 a year
- Hybrid work
- Mid-level
- Office
- 3 years
- Parental leave
- Flexible schedule
Staff AI Operations Architect
Checkr —San Francisco, CA
- $165,000 - $194,000 a year
- Hybrid work
- Background check
- System design
- Office
- Health insurance
- Dental insurance
Data/AI Solutions Architect
Infinite Lambda —San Francisco, CA
- $180,000 - $210,000 a year
- Full-time
- Remote
- Background check
- Azure
- Management
- Paid holidays
Advanced AI Architect
Accenture —San Francisco, CA
- $87,400 - $293,800 a year
- Full-time
- Hybrid work
- DevOps
- US work authorization
- Military encouraged
- Paid holidays
- Disability insurance
AI Solutions Architect
Deloitte —San Francisco, CA
- $163,400 - $322,100 a year
- Full-time
- Computer science
- Azure
- Management
Solutions Architect, Scaled Operations AI Accelerator Team
Meta —San Francisco, CA
- $152,000 - $214,000 a year
- Full-time
- Computer Science
- 8 years
- Analysis skills
AI Architect
Aegis AI —San Francisco, CA
- Full-time
- 1 year
- Senior level
Quick Apply
Solutions Architect - AI Infrastructure
Prime Intellect —San Francisco, CA
- Full-time
- DevOps
- Senior level
- 2 years
Worldwide Specialist Solutions Architect - Agentic Development, Data & AI GTM
Amazon Web Services, Inc. —San Francisco, CA
- $153,600 - $207,800 a year
- Full-time
- 3 years
- Java
- AWS
- AD&D insurance
- Health insurance
AI Growth Architect - Fashion
Hilbert's AI —San Francisco, CA
- Full-time
- Hybrid work
- Senior level
- Commercial
Lead AI Architect
DocuSign —San Francisco, CA
- $164,700 - $266,000 a year
- Hybrid work
- Azure
- 11+ years
- Office
- Paid parental leave
- Paid holidays
Champ AI - Deployment Architect / Forward Deployed Engineer
deCircle —San Francisco, CA
- Full-time
- 1 year
- Senior level
- Python
Quick Apply
Solutions Architect, ISV Developer AI
Amazon Web Services, Inc. —San Francisco, CA
- $131,300 - $204,300 a year
- Full-time
- AWS
- Fair chance
- Senior level
- AD&D insurance
- Health insurance
8d
Salesforce Data Cloud & AI Tech Architect (Tech Architecture/Solution Architecture)
Accenture —San Francisco, CA
- $87,400 - $266,300 a year
- Full-time
- Hybrid work
- Management
- Computer Science
- Mentoring
- Paid holidays
- Disability insurance
6d
Senior Manager, AI Solutions Architect
Salesforce —San Francisco, CA
- $172,500 - $285,800 a year
- Full-time
- Salesforce
- System design
- Fair chance
- Paid parental leave
- Disability insurance
Salesforce Data Cloud & AI Associate Architect
Accenture —San Francisco, CA
- $68,300 - $218,800 a year
- Full-time
- Hybrid work
- Computer science
- Computer Science
- Mid-level
- Paid holidays
- Disability insurance
1d
HR Technology AI Architect
Freshworks —San Mateo, CA
- $183,500 - $240,870 a year
- Full-time
- Hybrid work
- Computer science
- Computer Science
- System design
- Commuter assistance
- Employee stock purchase plan
Quick Apply
AI/ML Tech Architect
ClinDCast LLC —Oakland, CA
- Full-time
- 11+ years
- SQL
- Mentoring
Quick Apply
13d
Software Engineer, Agentic AI Infrastructure
Anrok —San Francisco, CA
- Full-time
- Hybrid work
- System design
- 3 years
- Mentoring
- Health insurance
- Dental insurance

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ai architect jobs near san francisco ca

Sr. AI Architect

Cognizant -
San Francisco, CA

Apply Now

Job Details

Full-time
$174,500 - $204,500 a year
7 days ago

Benefits

Paid parental leave
Employee stock purchase plan
Paid holidays
Disability insurance
Health insurance
Dental insurance
401(k)
Paid time off
Parental leave
Vision insurance
Life insurance

Qualifications

AI models
Containerization systems
Cloud identity and access management (IAM)
Continuous Delivery (CD) implementation
Generative models
AI platforms (beyond public GPTs)
Computational framework
Business consulting
Prompt engineering
Databases
Client services experience within consulting industry
Production systems
Machine learning cloud services
Machine intelligence
Solution architecture design
Model deployment
Developing large-scale AI models
Cloud Native Design
Model training
DevOps automation
Model evaluation
Machine learning frameworks
BigQuery
Project stakeholder communication
Python
MLOps
Generative AI
Consulting firm experience
IT consulting
Stakeholder management

Full Job Description

About AI & Analytics: Artificial intelligence (AI) and the data it collects and analyzes will soon sit at the core of all intelligent, human-centric businesses. By decoding customer needs, preferences, and behaviors, our clients can understand exactly what services, products, and experiences their consumers need. Within AI & Analytics, we work to design the future—a future in which trial-and-error business decisions have been replaced by informed choices and data-supported strategies.
By applying AI and data science, we help leading companies to prototype, refine, validate, and scale their AI and analytics products and delivery models. Cognizant’s AIA practice takes insights that are buried in data and provides businesses a clear way to transform how they source, interpret and consume their information. Our clients need flexible data structures and a streamlined data architecture that quickly turns data resources into informative, meaningful intelligence.

Please note, this role is not able to offer visa transfer or sponsorship now or in the future*

Job Summary
We are seeking an AI Architect to lead the design, development, and delivery of enterprise-scale Generative AI and agentic AI solutions on Google Cloud Platform. This role focuses on defining end-to-end AI/ML architecture strategy, building scalable LLM and multi-agent systems, and driving innovation using Vertex AI. You will play a key role in enabling intelligent automation through advanced AI frameworks while ensuring production readiness, governance, and business alignment. The position requires strong technical leadership, deep hands-on expertise, and client-facing consulting experience.

In this role, you will:

Define and lead enterprise AI architecture strategy for Generative AI and agentic AI solutions on GCP.
Architect and implement LLM-based applications using Vertex AI services including Model Garden, Gemini API, and custom training pipelines.
Design and develop multi-agent AI systems using Google ADK or equivalent frameworks (LangGraph, CrewAI, AutoGen).
Build scalable Retrieval-Augmented Generation (RAG) pipelines using Vertex AI Search, Vector Search, and BigQuery.
Develop and manage LLMOps pipelines covering model versioning, evaluation, fine-tuning (SFT/RLHF/PEFT), and deployment using Vertex AI Pipelines.
Leverage GCP-native services (Cloud Run, GKE, Dataflow, Pub/Sub, Apigee) to design and implement AI-first platforms.
Provide technical leadership, mentor teams, and conduct architecture reviews ensuring governance and responsible AI practices.
Define reusable design patterns, best practices, and reference architectures for LLM and agentic AI solutions.
Collaborate with clients and stakeholders to define AI strategy, lead PoCs, solution demos, and RFP/RFI responses.
Drive innovation adoption by evaluating emerging AI tools, models, frameworks, and enterprise AI capabilities.

What you need to have to be considered

15+ years of experience in AI/ML, cloud architecture, or enterprise digital transformation roles.
Strong hands-on expertise in Google Cloud Platform including Vertex AI, BigQuery, Dataflow, GKE, Cloud Run, Pub/Sub, and IAM.
Proven experience designing and delivering production-grade Generative AI and LLM-based applications.
Deep knowledge of RAG architectures, embeddings, vector databases, prompt engineering, and model evaluation strategies.
Experience building agentic AI systems using ADK or frameworks like LangGraph, CrewAI, or AutoGen.
Strong programming skills in Python with experience in MLOps tools (Vertex AI Pipelines, MLflow, Kubeflow).
Solid understanding of containerization (Docker, Kubernetes) and CI/CD pipelines.
Strong leadership, stakeholder engagement, and consulting experience working with enterprise clients.
GCP certifications (Professional Architect / ML Engineer) and experience in regulated industries are a plus.

#LI-EF1
#CB
#Ind123
Applications will be accepted until 10 Jul 2026.

Salary and Other Compensation:
The annual salary for this position is between $[174,500 - 204,500] depending on experience and other qualifications of the successful candidate.
This position is also eligible for Cognizant’s discretionary annual incentive program, based on performance and subject to the terms of Cognizant’s applicable plans.
Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:

Medical/Dental/Vision/Life Insurance
Paid holidays plus Paid Time Off
401(k) plan and contributions
Long-term/Short-term Disability
Paid Parental Leave
Employee Stock Purchase Plan

Apply Now

Refine Your Search

ai architect jobs in san francisco ca

Sr. AI Architect

Applied AI Architect, Commercial

Staff AI Operations Architect

Data/AI Solutions Architect

Advanced AI Architect

AI Solutions Architect

Solutions Architect, Scaled Operations AI Accelerator Team

AI Architect

Solutions Architect - AI Infrastructure

Worldwide Specialist Solutions Architect - Agentic Development, Data & AI GTM

AI Growth Architect - Fashion

Lead AI Architect

Champ AI - Deployment Architect / Forward Deployed Engineer

Solutions Architect, ISV Developer AI

Salesforce Data Cloud & AI Tech Architect (Tech Architecture/Solution Architecture)

Senior Manager, AI Solutions Architect

Salesforce Data Cloud & AI Associate Architect

HR Technology AI Architect

AI/ML Tech Architect

Software Engineer, Agentic AI Infrastructure

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