Principal Architect - Data & AI Job at Microsoft Corporation (Hyderabad)

Principal Architect - Data AI

Microsoft is on a mission to empower every person and every organization on the ...

Location

India , Hyderabad

Salary:

Not provided

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor’s Degree in Computer Science, Information Technology, Engineering, or related field AND 8+ years experience in technology solutions, practice development, architecture, consulting, and/or technology domain
OR Master’s Degree in Computer Science, Information Technology, Engineering, or related field AND 6+ years experience in technology solutions, practice development, architecture, consulting, and/or technology domain
OR equivalent experience
6+ years technical sales experience
6+ years project management experience
Technical or Professional Certification in AI Domain
Inclusive and collaborative – driving teamwork and cross-team alignment
Strong partner relationship management and solution development skills
Conversant knowledge of competing platforms and solutions
Proven track record of building deep relationships with CXOs

Job Responsibility

Lead client engagements from definition through delivery to ensure technical and AI transformation success for our customers
Collaborate with enterprise customers to scope and define requirements, architect and design solutions, and deliver transformational, customized industry solutions and services, including AI-powered applications
Ensure all solutions exhibit high levels of performance, security, scalability, maintainability, repeatability, appropriate reusability, and reliability upon deployment
Develop deep relationships with key customer decision makers (both Business and IT) who drive long-term innovation and transformation to our customers’ product roadmap
Be a Voice of Customer to share insights and best practices, connect with Engineering teams to remove key blockers and drive product improvements
Proactively identify opportunities for integrating modern architecture patterns and emerging technical solutions—including AI, machine learning, and generative AI—into current designs
Evaluate, identify, mitigate and eliminate risk, provide guidance, and propose immediate solutions
Communicate effectively with all stakeholders, including senior customer executives, Enterprise Architects, Developers, Data Scientists, and IT Management
Lead deep technical architecture discussions and development of POCs, including AI solution prototypes
Guide customers to production deployment and operationalization of both application and AI solutions

Fulltime

Principal AI Architect

As the Principal AI Architect for Teradata AI Studio, you will define the techni...

Location

India , Bengaluru, Karnataka, India | Hyderabad, Telangana, India

Salary:

Not provided

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

Job Responsibility

Define the technical architecture of Teradata's end-to-end AI development environment
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
Ensure that AI Studio is the most capable, governed, and scalable AI development environment in the market

What we offer

Flexible work model
People-first culture
Focus on well-being
Commitment to fostering an inclusive environment

Fulltime

Principal Data Architect

At Comcast advertising, we're building a data-driven future, and we need a Princ...

Location

United States

Salary:

107020.26 - 250828.74 USD / Year

Comcast Advertising

Expiration Date

Until further notice

Requirements

Implementing cloud data architecture and data integration patterns (AWS Glue, Azure Data Factory, Event Hub, Databricks, etc.), storage and processing (Redshift, Azure Synapse,BigQuery, Snowflake)
Infrastructure as code (CloudFormation, Terraform)
3rd Party Integration (Salesforce, D365)
Understanding and experience with modern cloud data architectures and engineering for one or more of the following cloud providers - AWS, Azure, GCP
Experience building data models and semantic layers
Design and Implementing enterprise reporting solutions using Tableau / Looker
Experience in integrating pipeline with REST API / GRAPHQL
Exposure to Mulesoft API and Clean Rooms will be desired
Experience in defining Master Data Management strategy and exposing data securely as a through data sharing architecture and APIs
Leading and supporting data architecture team and leads in creation of cloud data migration/integration/warehouse plans, roadmap, success metrics, and assessment of client’s enterprise (on-premise and on-cloud) data systems

Job Responsibility

Collaborate across application and data teams to orchestrate data solutions that meet needs from transactional, analytics and data science needs
Propose solutions focusing on tenants such as cost optimization, reducing data hops, ensuring high availability, performance and Effectv’s strategic needs and future growth goals as it relates to becoming a ‘data driven’ organization
Ensure solutions adhere to policies outlined at Comcast level such as data privacy and security
Design and manage robust, scalable data models and semantic layer
Build prototypes, publish design patterns for use by the organization
Provide guidance on getting started in cloud and cloud migration techniques
Work with the data governance team to ensure critical data elements are identified and monitored
Work with partners like AWS, Databricks, Snowflake to ensure services meet the growing needs of Effectv
Facilitate in-depth architectural discussions and design exercises to create world-class cloud solutions
Work with internal and external stakeholders to gather requirements

What we offer

Paid Time off
Physical Wellbeing
Financial Wellbeing
Emotional Wellbeing
Life Events + Family Support
Base pay
Bonus/Commission eligibility

Fulltime

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 Data Architect

Tripleseat is the platform that more than 20,000 hospitality businesses use to m...

Location

United States

Salary:

220000.00 - 240000.00 USD / Year

Tripleseat

Expiration Date

Until further notice

Requirements

10+ years of hands-on data engineering and architecture experience in growth-stage SaaS
Deep, current expertise in the modern data stack: Snowflake, dbt, pipeline orchestration, semantic layers, and modeling at scale
Strong opinions on data modeling (dimensional, Data Vault, wide-table, semantic layer) and the judgment to pick the right pattern
Direct experience with the data problems that gate AI products: entity resolution, taxonomy normalization, evaluation dataset design, model monitoring, and data quality at scale
Track record of mentoring analytics engineers, data engineers, and analysts to higher levels of capability
Foundational leadership instincts
Strong product instinct
Track record of partnering cross-functionally with product, engineering, finance, and go-to-market in a centralized data model where you serve multiple internal customers

Job Responsibility

Architect the Platform
Own the end-to-end architecture for Tripleseat's data platform
Design the canonical data model
Make the foundational decisions (storage strategy, modeling approach, performance, cost, governance)
Define the data contracts and quality standards
Build, Not Just Direct
Write production dbt models
Deliver the data infrastructure required for Revenue Intelligence
Solve the hard data quality problems
Build the trusted reporting layer

What we offer

Competitive Medical, Dental, and Vision Insurance
Company Paid Life Insurance, Short- and Long-Term Disability Plans
Supplemental Insurance Options
Commuter Benefits
401(k) with Company Match
Parental Leave
Flexible Paid Time Off
LinkedIn Learning Access
Pet Insurance
Employee Discount 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 Data Architect

At Datatonic, we are Google Cloud's premier partner in AI, driving transformatio...

Location

United Kingdom , London

Salary:

Not provided

Datatonic

Expiration Date

Until further notice

Requirements

Proven experience designing and building data warehouse / lakehouse solutions using technologies like BigQuery, Azure Synapse, Snowflake, Databricks
Strong expertise in data modeling and solution architecture, optimizing for performance and scalability
Experience with data platforms with data quality, security, privacy, and governance controls built-in
Ability to take projects from concept to completion, driving creative and effective solutions
Demonstrated problem-solving skills with a strong technical foundation and an innovative approach
Exceptional written and verbal communication skills with great attention to detail, capable of presenting complex concepts clearly to customers
Ability to build and maintain strong relationships with key external stakeholders across different business levels
Hands-on experience with Python, Java, and SQL for data engineering and solution development

Job Responsibility

Design & Deliver Cutting-Edge Data Solutions: Lead the analysis, design, and execution of state-of-the-art, data-driven solutions to meet our client’s business needs, leveraging the best of Google Cloud technologies
Data Architecture & Governance: Serve as an expert in data transformation, storage, retrieval, security, and governance, ensuring scalable, secure, and efficient data solutions
Guide & Mentor Engineers: Provide architectural direction to engineers, ensuring they build robust, high-performance solutions aligned with your target data architecture
Master Data Modeling Techniques: Apply expertise in various data modeling approaches, including 3NF, Data Vault, Star Schema, and One Big Table (OBT). Clearly articulate the benefits and trade-offs of each method and optimize their implementation within columnar databases such as BigQuery
Shape Data Strategy: Collaborate with the client to define and refine data strategy
Develop Fully Integrated Solutions: Work alongside Architecture, Engineering, and Data Science teams to design comprehensive, production-ready solutions that incorporate cloud best practices, scalable and efficient ingestion strategies, feature engineering methodologies, and end-to-end production readiness
Leverage Leading Technologies: Design and implement solutions using key partner technologies, including Google Cloud – BigQuery, Dataflow, Vertex AI, and more
dbt Labs – Modern analytics engineering and transformation
Snowflake – Cloud-native data warehousing
Fivetran – Automated data pipelines for seamless integration

What we offer

25 days plus bank holidays
Private health insurance (Vitality Health)
Smart Health Services
50% gym membership discounts (Nuffield Health, Virgin Active, Pure Gym)
WFH allowance
Access to platforms like Udemy
Pension (Auto-enrolment after probation period. 3% employer contributions raising 1% per year of service to a max of 10%)
Life Insurance (3 x your base salary)
Income Protection (up to 75% of base salary, up to 2 years)
Cycle to Work Scheme

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

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Principal Architect - Data & AI

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