Principal AI Architect Job at Teradata (Bengaluru, Karnataka, India

Principal Ai Architect

At Teradata, we believe that people thrive when empowered with better informatio...

Location

United States , California

Salary:

217300.00 - 325900.00 USD / Year

Teradata

Expiration Date

Until further notice

Requirements

10+ years of software engineering experience, including 3+ years in a senior architect or principal engineer role with platform-wide technical scope
Demonstrated expertise designing AI/ML platforms or developer tools: model serving infrastructure, feature stores, experiment tracking, MLOps pipelines, or AI agent development environments
Deep understanding of LLM integration patterns: RAG architectures, fine-tuning pipelines, evaluation frameworks, and agent tool-calling interfaces
Experience with enterprise data platforms (Teradata Vantage, Snowflake, Databricks, or equivalent) at sufficient depth to architect against their APIs, security models, and performance characteristics
Experience building developer-facing platforms — SDKs, APIs, or IDEs — that external developers adopt and extend
Familiarity with open-source AI development tools: MLflow, Weights & Biases, Hugging Face, LangChain, LangGraph, or comparable
Understanding of enterprise AI governance requirements: model lineage, data access controls, audit logging, and responsible AI guardrails
Experience with cloud-native architecture (AWS, Azure, GCP) and containerized ML workloads (Kubernetes, Docker)
Strong cross-functional influence: you can drive alignment across engineering, product, and customer-facing teams without formal authority
A portfolio of architectural decisions — RFCs, design docs, or open-source work — that demonstrates your approach

Job Responsibility

Define the technical architecture of Teradata's end-to-end AI development environment — the platform where data scientists, ML engineers, and AI developers build, test, deploy, and monitor AI and agentic applications on top of Vantage
Set the architectural direction for how AI Studio integrates with Teradata Vantage's query engine, model registry, feature store, and agent harness
Establish the patterns for how enterprise customers build trustworthy AI workflows — from data preparation through model deployment to agent-driven automation
Ensure that AI Studio is the most capable, governed, and scalable AI development environment in the market
Ship architectural decisions that other engineers can build on with confidence
Drive customer adoption of AI Studio at scale

What we offer

Healthcare
life and disability insurance plans
401(k)-retirement savings plan
time-off programs

Fulltime

Principal AI Architect

The Principal AI Architect designs, develops and implements advanced AI solution...

Location

United States , Waukesha

Salary:

Not provided

Energy Systems

Expiration Date

Until further notice

Requirements

Bachelors Degree in Computer Science or other related program
8 or more years of experience in AI, machine learning, or data science, with at least 4 years in a senior or lead architect role
Proven track record of designing and deploying large-scale AI systems in production environments
Experience leading cross-functional teams in the delivery of complex AI projects
Hands-on experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and AI frameworks (e.g., TensorFlow, PyTorch, scikit-learn)
Must be deeply curious, desire to experiment
Expertise in machine learning algorithms, Neural networks, Genetic Algorithms, Decision trees, Business dynamic models, Agent based models, Advanced statistical techniques and operations research
Strong proficiency in programming languages such as Python, R, or Java
Ability to design scalable, secure, and efficient AI architectures
Exceptional problem-solving and analytical skills

Job Responsibility

Leads the design and development of AI architectures, including machine learning models, deep learning frameworks, and generative AI systems
Defines technical strategies and roadmaps for AI-driven projects ensuring alignment with business objectives
Collaborates with data scientists, data engineers, business functional and product teams to integrate AI solutions into production environments
Advises and oversees the evaluation and adoption of AI technologies, tools, and platforms
Serves as the technical leader and mentor to AI and engineering teams
Delivers scalable, secure, and optimized AI solutions
Leads analytic literacy of the organization and serves as a translator of deep technical concepts into simple business vernacular
Leads industry trends and advancements in AI to help maintain a competitive edge
Communicates complex technical concepts to non-technical stakeholders effectively

Fulltime

Principal AI Architect

Location

Canada , Mississauga

Salary:

Not provided

PointClickCare

Expiration Date

Until further notice

Requirements

Years of experience in enterprise, solution, or platform architecture roles within B2B SaaS or large-scale technology organizations
Experience working across end-to-end B2B SaaS customer and revenue lifecycle
Experience of Generative AI, large language models, agent architectures, RAG patterns, and AI orchestration frameworks
Hands-on experience with LLM platforms such as OpenAI, Azure OpenAI, or Anthropic
Experience in Microsoft AI platforms like Azure foundry, Co-pilot agent specifically
Experience leading architecture for large-scale business and technology transformation programs

Fulltime

Principal AI Architect

Location

United States

Salary:

Not provided

PointClickCare

Expiration Date

Until further notice

Requirements

Experience in enterprise, solution, or platform architecture roles within B2B SaaS or large-scale technology organizations
Experience working across end-to-end B2B SaaS customer and revenue lifecycle
Experience of Generative AI, large language models, agent architectures, RAG patterns, and AI orchestration frameworks
Hands-on experience with LLM platforms such as OpenAI, Azure OpenAI, or Anthropic
Experience in Microsoft AI platforms like Azure foundry, Co-pilot agent specifically
Experience leading architecture for large-scale business and technology transformation programs

Fulltime

Principal AI Architect

As a Principal AI Architect, you will define and drive the end-to-end Cloud + AI...

Location

United States , Multiple Locations

Salary:

139900.00 - 274800.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
OR equivalent experience.
Master's Degree in Computer Science, Engineering or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
OR Bachelor's Degree in Computer Science or related technical field AND 12+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
OR equivalent experience.
10+ experience in software engineering or solution architecture, with demonstrable success building and operating complex systems.
10+ experience designing, implementing, and optimizing AI solutions encompassing data pipelines, model training and serving, and production MLOps.
10 + years of full-stack development across frontend, backend, and cloud infrastructure, with a proficient command of data engineering, AI/ML systems, and deployment architectures.
2+ project experience with NLP and LLM-based systems.
Proficient coding skills in C#, Python, JavaScript, and React.

Job Responsibility

Own the reference architecture and technical roadmap for WWL’s AI/Agentic platform capabilities (e.g., orchestration, tools/plugins, memory, retrieval, evaluation, observability, governance).
Translate skilling business objectives into platform investments and architectural decisions, balancing speed-to-value with security, compliance, cost, and long-term maintainability.
Establish clear architectural guardrails and decision frameworks (e.g., “build vs. buy,” “Copilot Studio vs. Foundry,” “RAG vs. fine-tune,” “central vs. federated patterns”).
Lead architecture/design reviews for major initiatives
drive alignment on system boundaries, contracts, dependency management, and resiliency.
Define and standardize architecture patterns (multi-tenant SaaS, event-driven architectures, secure data access, model routing, agent safety controls).
Create reusable templates, “golden paths,” and reference implementations to accelerate engineering delivery across teams and reduce fragmentation.
Embed Responsible AI principles into agentic solution design (human-in-the-loop, safety mitigations, evaluation, transparency, and auditability).
Partner with security and compliance stakeholders to ensure services meet required controls and operational standards, and to drive alignment between policy intent and implementation.
Define secure patterns for prompt/data handling, secrets management, identity, and access governance for AI systems.

Fulltime

Principal AI Architect

We are seeking a Principal AI Architect who will own both the AI strategy and en...

Location

United States

Salary:

173000.00 - 190000.00 USD / Year

PointClickCare

Expiration Date

Until further notice

Requirements

12+ years of experience in enterprise, solution, or platform architecture roles within B2B SaaS or large-scale technology organizations
Proven experience designing and running AI systems in real production environments
Strong experience working across end-to-end B2B SaaS customer and revenue lifecycles including marketing, sales, quoting, contracting, billing, revenue recognition, service, and customer success platforms
Experience designing enterprise architecture for HR and corporate technology domains, with the ability to take ownership of these platforms and drive solution architecture without dependency on specific vendors or tools
Deep understanding of Generative AI, large language models, agent architectures, RAG patterns, and AI orchestration frameworks
Strong proficiency in Python with experience building backend services, APIs, and containerized workloads
Hands-on experience with LLM platforms such as OpenAI, Azure OpenAI, or Anthropic
Hands-on experience with agent frameworks such as LangChain, LangGraph, CrewAI, or AutoGen
Experience designing secure, scalable, multi-tenant enterprise and SaaS architectures
Experience leading architecture for large-scale business and technology transformation programs

Job Responsibility

Define and drive enterprise AI strategy and architecture within a B2B SaaS and enterprise technology environment
Design and govern AI solutions across the full customer lifecycle including marketing, sales, solution engineering, quoting, contracting, billing, revenue recognition, service, and customer success management
Architect and scale Generative AI, agent-based systems, RAG architectures, and intelligent automation in production SaaS platforms
Own enterprise architecture across core business and corporate platforms including customer, revenue, and operational systems such as CRM, quoting, contracting, billing, HR, and IT Service Management environments, with the ability to rapidly learn new technologies and design scalable solution architectures independent of specific tools or vendors
Architect and develop agentic enterprise capabilities that enhance business operations, workload orchestration, and user-facing automation
Design and implement LLM-powered agents using platforms such as Microsoft Copilot Studio and Salesforce Agentforce
Design orchestration patterns using frameworks and platforms such as Salesforce Agentforce, Microsoft Copilot, LangGraph, CrewAI, and LangChain to enable multi-agent collaboration across systems
Define architectural guardrails, platform standards, and lifecycle management practices for scalable, secure AI and enterprise systems
Act as a technical authority to review, challenge, and guide vendor, system integrator, and internal team architectures
Lead architecture governance by defining review frameworks, validating solution designs, and driving alignment to enterprise standards

What we offer

Benefits starting from Day 1
Retirement Plan Matching
Flexible Paid Time Off
Wellness Support Programs and Resources
Parental & Caregiver Leaves
Fertility & Adoption Support
Continuous Development Support Program
Employee Assistance Program
Allyship and Inclusion Communities
Employee Recognition … and more

Fulltime

Principal AI Architect

We are seeking a Principal AI Architect who will own both the AI strategy and en...

Location

Canada , Mississauga

Salary:

164000.00 - 182000.00 CAD / Year

PointClickCare

Expiration Date

Until further notice

Requirements

12+ years of experience in enterprise, solution, or platform architecture roles within B2B SaaS or large-scale technology organizations
Proven experience designing and running AI systems in real production environments
Strong experience working across end-to-end B2B SaaS customer and revenue lifecycles including marketing, sales, quoting, contracting, billing, revenue recognition, service, and customer success platforms
Experience designing enterprise architecture for HR and corporate technology domains, with the ability to take ownership of these platforms and drive solution architecture without dependency on specific vendors or tools
Deep understanding of Generative AI, large language models, agent architectures, RAG patterns, and AI orchestration frameworks
Strong proficiency in Python with experience building backend services, APIs, and containerized workloads
Hands-on experience with LLM platforms such as OpenAI, Azure OpenAI, or Anthropic
Hands-on experience with agent frameworks such as LangChain, LangGraph, CrewAI, or AutoGen
Experience designing secure, scalable, multi-tenant enterprise and SaaS architectures
Experience leading architecture for large-scale business and technology transformation programs

Job Responsibility

Define and drive enterprise AI strategy and architecture within a B2B SaaS and enterprise technology environment
Design and govern AI solutions across the full customer lifecycle including marketing, sales, solution engineering, quoting, contracting, billing, revenue recognition, service, and customer success management
Architect and scale Generative AI, agent-based systems, RAG architectures, and intelligent automation in production SaaS platforms
Own enterprise architecture across core business and corporate platforms including customer, revenue, and operational systems such as CRM, quoting, contracting, billing, HR, and IT Service Management environments, with the ability to rapidly learn new technologies and design scalable solution architectures independent of specific tools or vendors
Architect and develop agentic enterprise capabilities that enhance business operations, workload orchestration, and user-facing automation
Design and implement LLM-powered agents using platforms such as Microsoft Copilot Studio and Salesforce Agentforce
Design orchestration patterns using frameworks and platforms such as Salesforce Agentforce, Microsoft Copilot, LangGraph, CrewAI, and LangChain to enable multi-agent collaboration across systems
Define architectural guardrails, platform standards, and lifecycle management practices for scalable, secure AI and enterprise systems
Act as a technical authority to review, challenge, and guide vendor, system integrator, and internal team architectures
Lead architecture governance by defining review frameworks, validating solution designs, and driving alignment to enterprise standards

What we offer

Benefits starting from Day 1
Retirement Plan Matching
Flexible Paid Time Off
Wellness Support Programs and Resources
Parental & Caregiver Leaves
Fertility & Adoption Support
Continuous Development Support Program
Employee Assistance Program
Allyship and Inclusion Communities
Employee Recognition

Fulltime

Principal AI Software Architect

Principal Artificial Intelligence (AI) Software Architect leads the design, deve...

Location

United States , St. Louis

Salary:

Not provided

VantageLinks

Expiration Date

Until further notice

Requirements

Bachelor's degree in the field of computer science, information systems, or computer engineering or equivalent experience
7+ years of experience in software architecture and engineering, with at least 2 years focused on AI/ML systems
5+ years of hands-on experience with application development tools, including Visual Studio .NET
5+ years of hands-on experience with relational database technology, preferably MS SQL Server

Job Responsibility

Architects and leads the development of AI-driven platforms and scalable software systems aligned with strategic business goals
Collaborates cross-functionally with engineering, product, and business teams to define use cases and deliver impactful solutions
Evaluates and selects AI and software technologies, frameworks, and tools for optimal performance, scalability, and maintainability
Establishes and promotes best practices in AI model development, MLOps, software engineering, DevOps, and system architecture
Mentors engineering teams, fostering a culture of innovation, excellence, and continuous improvement
Drives technical strategy and long-term planning, aligning engineering efforts with enterprise objectives
Ensures compliance with data privacy, security, and ethical standards in all AI and software initiatives
Champions engineering excellence through code reviews, automated testing, CI/CD, and agile methodologies
Other duties as needed or assigned

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