AI Architect Jobs
AI Architect jobs are open across technology, financial services, healthcare, and defense, from mid-level to principal and staff engineer, with specializations in machine learning infrastructure, large language model deployment, and enterprise AI platform design. Find a role that fits from the openings below and apply directly.
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Showing 5 of 788+ AI Architect jobs
LOCATION
Chicago, IL – Hybrid (3 days per week on-site)
EMPLOYMENT TYPE
Full-Time
ABOUT COGNIZANT
Cognizant (Nasdaq‑100: CTSH) engineers modern businesses. We help our clients modernize technology, reimagine processes, and transform experiences to stay ahead in a rapidly changing world. Together, we’re improving everyday life.
JOB SUMMARY
Cognizant is seeking a highly skilled and visionary Gen AI Architect to lead the design and implementation of cutting-edge Generative AI solutions. This role will be instrumental in shaping enterprise AI strategy, building scalable and secure architectures, and driving innovation across business-critical applications.
The ideal candidate brings deep expertise in Large Language Models (LLMs), Prompt Engineering, Retrieval-Augmented Generation (RAG), and hands-on experience with the AWS AI/ML ecosystem, including Bedrock and SageMaker. This position follows a hybrid work model based out of our Chicago office.
KEY RESPONSIBILITIES
- Architect and implement enterprise-grade Generative AI solutions using LLMs (e.g., OpenAI, Anthropic, Cohere, Amazon Titan)
- Design, test, and optimize Prompt Engineering strategies for use cases including summarization, Q&A, classification, and content generation
- Develop and deploy Retrieval-Augmented Generation (RAG) pipelines integrating vector databases (Amazon OpenSearch, Pinecone, FAISS) with LLMs
- Leverage AWS Bedrock to build, manage, and scale foundation model–driven applications
- Implement cosine similarity–based semantic search and ranking for documents and embeddings
- Collaborate with data scientists, ML engineers, and product teams to embed Gen AI into existing platforms and workflows
- Ensure scalability, performance, reliability, and security of Gen AI applications in cloud-native environments
- Stay current with emerging Gen AI technologies, tools, architectures, and best practices
REQUIRED QUALIFICATIONS
- Bachelor’s or Master’s degree in Computer Science, Data Science, AI/ML, or a related field
- 8+ years of experience in AI/ML, with 3+ years focused on Generative AI and LLMs
- Strong understanding of LLM architectures, fine-tuning techniques, and inference optimization
- Proven hands-on experience with Prompt Engineering and prompt chaining methods
- Demonstrated experience building RAG-based applications using vector databases and embedding models
- Proficiency with AWS AI/ML services including Bedrock, SageMaker, Lambda, S3, IAM, and related tools
- Experience with cosine similarity, semantic search, and embedding models (e.g., Sentence Transformers)
- Strong development skills in Python, with experience using LangChain, Hugging Face Transformers, and RESTful APIs
- Excellent communication, collaboration, and technical leadership skills
PREFERRED QUALIFICATIONS
- Experience delivering Gen AI solutions in large enterprise or consulting environments
- Background designing AI systems for regulated or security-sensitive domains
- Experience leading architecture decisions and mentoring technical teams
SALARY (U.S.)
Base Salary Range: $130,000 – $150,000 USD per year
This salary range represents a good-faith estimate based on role scope, experience, skills, geographic location, and internal equity. Actual compensation may vary.
BENEFITS – U.S. EMPLOYEES
Cognizant offers a comprehensive and competitive benefits package, including:
- Medical, Dental, and Vision insurance
- 401(k) retirement plan with company match
- Paid Time Off (vacation, sick leave, and company holidays)
- Paid parental leave
- Life, disability, and accident insurance
- Tuition reimbursement and continuous learning programs
- Employee Assistance Program (EAP) and wellness resources
EQUAL OPPORTUNITY STATEMENT
Cognizant is an equal opportunity employer. We are committed to fostering an inclusive, diverse workplace and do not discriminate on the basis of race, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, disability, veteran status, or any other protected characteristic.
LOCATION
Chicago, IL – Hybrid (3 days per week on-site)
EMPLOYMENT TYPE
Full-Time
ABOUT COGNIZANT
Cognizant (Nasdaq‑100: CTSH) engineers modern businesses. We help our clients modernize technology, reimagine processes, and transform experiences to stay ahead in a rapidly changing world. Together, we’re improving everyday life.
JOB SUMMARY
Cognizant is seeking a highly skilled and visionary Gen AI Architect to lead the design and implementation of cutting-edge Generative AI solutions. This role will be instrumental in shaping enterprise AI strategy, building scalable and secure architectures, and driving innovation across business-critical applications.
The ideal candidate brings deep expertise in Large Language Models (LLMs), Prompt Engineering, Retrieval-Augmented Generation (RAG), and hands-on experience with the AWS AI/ML ecosystem, including Bedrock and SageMaker. This position follows a hybrid work model based out of our Chicago office.
KEY RESPONSIBILITIES
- Architect and implement enterprise-grade Generative AI solutions using LLMs (e.g., OpenAI, Anthropic, Cohere, Amazon Titan)
- Design, test, and optimize Prompt Engineering strategies for use cases including summarization, Q&A, classification, and content generation
- Develop and deploy Retrieval-Augmented Generation (RAG) pipelines integrating vector databases (Amazon OpenSearch, Pinecone, FAISS) with LLMs
- Leverage AWS Bedrock to build, manage, and scale foundation model–driven applications
- Implement cosine similarity–based semantic search and ranking for documents and embeddings
- Collaborate with data scientists, ML engineers, and product teams to embed Gen AI into existing platforms and workflows
- Ensure scalability, performance, reliability, and security of Gen AI applications in cloud-native environments
- Stay current with emerging Gen AI technologies, tools, architectures, and best practices
REQUIRED QUALIFICATIONS
- Bachelor’s or Master’s degree in Computer Science, Data Science, AI/ML, or a related field
- 8+ years of experience in AI/ML, with 3+ years focused on Generative AI and LLMs
- Strong understanding of LLM architectures, fine-tuning techniques, and inference optimization
- Proven hands-on experience with Prompt Engineering and prompt chaining methods
- Demonstrated experience building RAG-based applications using vector databases and embedding models
- Proficiency with AWS AI/ML services including Bedrock, SageMaker, Lambda, S3, IAM, and related tools
- Experience with cosine similarity, semantic search, and embedding models (e.g., Sentence Transformers)
- Strong development skills in Python, with experience using LangChain, Hugging Face Transformers, and RESTful APIs
- Excellent communication, collaboration, and technical leadership skills
PREFERRED QUALIFICATIONS
- Experience delivering Gen AI solutions in large enterprise or consulting environments
- Background designing AI systems for regulated or security-sensitive domains
- Experience leading architecture decisions and mentoring technical teams
SALARY (U.S.)
Base Salary Range: $130,000 – $150,000 USD per year
This salary range represents a good-faith estimate based on role scope, experience, skills, geographic location, and internal equity. Actual compensation may vary.
BENEFITS – U.S. EMPLOYEES
Cognizant offers a comprehensive and competitive benefits package, including:
- Medical, Dental, and Vision insurance
- 401(k) retirement plan with company match
- Paid Time Off (vacation, sick leave, and company holidays)
- Paid parental leave
- Life, disability, and accident insurance
- Tuition reimbursement and continuous learning programs
- Employee Assistance Program (EAP) and wellness resources
EQUAL OPPORTUNITY STATEMENT
Cognizant is an equal opportunity employer. We are committed to fostering an inclusive, diverse workplace and do not discriminate on the basis of race, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, disability, veteran status, or any other protected characteristic.
See All 788+ AI Architect Jobs
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Find AI Architect JobsAI Architect Job Market
A snapshot from current openings nationwide, updated as new roles post.
Who's Hiring
- NVIDIA56
- Boston Consulting45
- Tata Consultancy Services (TCS)23
- Anthropic18
- Meta14
Top Industries Hiring
- Technology & Software381
- Consulting & Professional Services124
- Electronics & Hardware73
- Insurance36
- Science & Research34
What Employers Look For
The qualifications that appear most often in AI architect jobs.
- Bachelor's or master's degree in computer science, engineering, or a related technical field
- Hands-on experience designing and deploying large-scale machine learning or deep learning systems in production
- Proficiency with at least one major cloud AI platform such as AWS SageMaker, Azure AI, or Google Vertex AI
- Experience with MLOps tooling including model versioning, CI/CD pipelines, and model monitoring frameworks
- Strong programming skills in Python and familiarity with frameworks such as PyTorch, TensorFlow, or Hugging Face
- Demonstrated ability to translate business requirements into scalable AI system architecture and communicate trade-offs to non-technical stakeholders
Tips for Your AI Architect Job Search
Anchor your resume to system design
AI architect roles are evaluated on architecture decisions, not just model performance. Show how you designed end-to-end pipelines, chose infrastructure trade-offs, and made systems production-ready. Hiring managers want to see the reasoning behind your choices, not just the outcome.
Apply early to roles that fit
Migrate Mate lists ai architect openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Tailor your application to the stack listed
AI architect postings vary widely by cloud provider and tooling. A role built around Azure AI Studio reads differently than one centered on AWS SageMaker or Google Vertex AI. Reframe your experience around the specific platform named in the job description before you apply.
Translate research projects into production wins
Many candidates describe proof-of-concept work without framing it as production-scale impact. Restate your projects in terms of throughput, latency targets, uptime, or cost reduction. Interviewers want to know your systems ran under real load, not just in a notebook.
Prepare for a multi-round technical format
Expect separate rounds for system design, ML fundamentals, and a stakeholder or cross-functional presentation. Practice whiteboarding an architecture end-to-end, including data ingestion, model serving, monitoring, and rollback strategy, not just the modeling layer.
Negotiate scope and team structure, not just pay
AI architect offers often leave ownership boundaries ambiguous. Before you accept, clarify whether you own the full lifecycle from design through deployment, whether you have a dedicated platform team, and what the escalation path looks like for infrastructure decisions.
AI Architect Jobs: Frequently Asked Questions
Which companies are hiring the most ai architects?
The companies hiring the most ai architects right now include NVIDIA, Boston Consulting, and Tata Consultancy Services (TCS), with the largest share of openings in California, Texas, and New York, based on current listings on Migrate Mate as of June 2026. Demand is concentrated in technology, financial services, and healthcare organizations scaling enterprise AI platforms.
How many ai architect jobs are remote?
About 36% of ai architect openings are fully remote or hybrid as of June 2026, making it one of the more flexible senior technical roles in the market. Sub-areas like LLM integration, cloud AI platform design, and ML platform engineering tend to have the highest share of remote-eligible postings.
How do you become an ai architect?
Start by building deep hands-on experience as a machine learning engineer or data engineer, then take on system design responsibilities that go beyond modeling. Develop fluency in cloud AI services, MLOps practices, and distributed systems. Work toward leading end-to-end architecture reviews, documenting design decisions, and presenting trade-offs to engineering and product leadership.
Can you get hired as an ai architect with little experience?
Breaking in is possible if you can demonstrate production-level thinking rather than just research experience. Build a public portfolio showing a complete system you designed, including data ingestion, model serving, and monitoring. Targeting roles titled ML platform engineer or senior ML engineer first gives you the production credibility that ai architect postings require.
What does the ai architect interview process look like?
Most processes run three to five rounds. Expect an initial screening call focused on your background and past architecture decisions, followed by a deep-dive system design round where you whiteboard an end-to-end AI pipeline. Later rounds often include an ML fundamentals review and a cross-functional presentation where you walk non-technical stakeholders through a proposed architecture.
Where can I find and apply to ai architect jobs?
You can find and apply to ai architect jobs on Migrate Mate, which lists current openings from companies across the United States. Search the listings to find roles that match your background, experience level, and preferred location, then apply directly to each one that fits.
See All 788+ AI Architect Jobs
Jump back to the full list of openings and apply to any AI architect role that fits.
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