Technical Lead – AI/ML & Data Platforms Job at Thirdeye Data (Sunnyvale)

AI/ML Technical Lead

We build breakthrough software products that power digital businesses. We are an...

Location

India , Noida

Salary:

Not provided

3Pillar Global

Expiration Date

Until further notice

Requirements

7+ years of experience in AI/ML development, including leading technical teams
Strong expertise in agentic AI concepts, multi-agent orchestration, and autonomous tool-using AI systems
Hands-on experience with LangChain (chains, agents, custom tools, memory, LLM orchestration)
Experience in Agentic AI
Experience in Computer Vision
Proficiency with modern LLMs (OpenAI, Anthropic, Llama, Mistral, etc.) and fine-tuning methods
Deep knowledge of Python and ML frameworks (PyTorch, TensorFlow, Hugging Face)
Experience building and deploying RAG systems using vector databases (Pinecone, Chroma, Weaviate, etc.)
Strong understanding of ML Ops, CI/CD, containerization (Docker), and cloud platforms (AWS, GCP, Azure)

Job Responsibility

Lead the design, development, and deployment of advanced AI/ML solutions, including LLM-powered applications
Architect and implement agentic AI workflows, multi-agent systems, and autonomous reasoning pipelines
Build scalable applications using LangChain, retrieval-augmented generation (RAG), vector databases, and tool integrations
Mentor and lead a team of ML engineers, data scientists, and AI developers
Collaborate with cross-functional teams (Product, Engineering, Data) to define AI strategies and roadmaps
Optimize model performance, latency, reliability, and cost efficiency
Evaluate new AI frameworks, libraries, and models for integration into the stack
Ensure best practices for code quality, ML Ops, versioning, testing, and monitoring

Fulltime

IT Data Platform Architect

As an IT Data Platform Architect, you will be instrumental in designing and impl...

Location

United States , Charlotte

Salary:

Not provided

Brightspeed

Expiration Date

Until further notice

Requirements

Bachelor’s or Master’s degree in Computer Science, Information Technology, or related field
8+ years of relevant experience in data platform architecture
Experience with containerization technologies
Demonstrated ability in building and managing data platforms with integrated AI/ML capabilities
Strong knowledge and experience in GCP, with familiarity in other cloud platforms
Have extensive experience in data architecture, especially in supporting AI/ML applications
Demonstrate expertise in infrastructure as code, CI/CD practices, and troubleshooting across various technical domains
Show strong ability in handling streaming data applications
Can effectively communicate technical concepts to diverse audiences
Are a proactive problem-solver with a keen eye for improving system architectures

Job Responsibility

Develop a high-performance data architecture to support large-scale data processing and AI/ML analytics
Lead effort to implement infrastructure as code using tools like Terraform and Ansible to automate the deployment of both infrastructure and applications
Design CI/CD integrations using GitHub, GitHub Actions, Jenkins, ensuring smooth deployment on GCP
Create, update, and maintain comprehensive documentation, including procedural/process guides and infrastructure topology diagrams
Stay updated with technological advancements, advocating for and implementing necessary changes and updates to our systems
Proactively identify improvement areas in infrastructure architecture and develop plans for enhancements
Work with streaming data applications, ensuring robust data flow and integration
Possess knowledge of containerization technologies and orchestration tools to manage and scale applications effectively
Build reusable code, components, and services, focusing on versioning, reconciliation, and robust exception handling
Communicate complex technical concepts effectively to both technical and non-technical stakeholders

What we offer

competitive medical, dental, vision, and life insurance
employee assistance program
401K plan with company match
host of voluntary benefits

Fulltime

Data & AI/ML Partnerships Director

Anaconda is seeking a visionary leader to define and execute our global Data & A...

Location

United States

Salary:

176000.00 - 254000.00 USD / Year

Anaconda

Expiration Date

February 08, 2026

Requirements

10+ years of experience in technical business development, ISV alliances, or data and AI/ML partnerships with a proven track record of driving partner-led revenue growth
Deep understanding of cloud, data, and AI/ML platform ecosystems, including experience with Databricks, Snowflake, Palantir, or similar technologies
Demonstrated success driving product integration, adoption, and co-sell initiatives within platform ecosystems that result in measurable business outcomes
Strong grasp of modern data and AI architectures, including data lakes, agentic applications, notebooks, LLMOps, vector stores, and MLOps workflows
Executive presence and relationship-building skills with both technical and business stakeholders at partner organizations
Experience with negotiation and contract management for complex partnership structures in collaboration with legal and finance teams
Track record of cross-functional collaboration with product, engineering, and go-to-market teams to drive partnership outcomes
Willingness to travel up to 30% for partner meetings, conferences, and industry events
You embody our values: 'Curious by Default', 'Build Together', 'Own It', and 'Lead with Guts and Heart', and our behaviors: Clarity, Care and Candor
You care deeply about fostering an environment where people of all backgrounds and experiences can flourish

Job Responsibility

Develop and execute Anaconda's Data & AI/ML Platforms strategy with clear revenue, adoption, and integration targets that translate technical synergy into measurable business outcomes
Build executive sponsorship across partner organizations and lead partnership negotiations to establish quarterly business reviews, performance scorecards, and long-term strategic alignment
Partner with Product and Engineering to define joint integration roadmaps that deepen Anaconda's presence across data, compute, and AI/ML stacks — from notebooks and vector databases to ML pipelines and governance tools
Collaborate with partner engineering teams to launch high-value integrations that make building and deploying AI faster, safer, and more cost-effective while driving developer adoption
Create and execute joint go-to-market initiatives with each platform, building co-sell motions, field enablement programs, and customer success alignment that accelerate revenue growth
Enable partner field and solution engineering teams to confidently position Anaconda as the Python and AI enablement layer in their data platforms through comprehensive training and materials
Launch joint campaigns, case studies, webinars, and thought leadership with partner marketing teams to demonstrate real customer value and amplify Anaconda's ecosystem presence
Own Anaconda's presence at key industry events such as Data + AI Summit, Snowflake Summit, and Palantir AIPCon to build visibility and secure lighthouse customer wins

What we offer

Flexible Vacation Policy
Medical, Dental, and Vision Insurance
Short Term and Long Term Disability
Paid Parental Leave
Monthly Wellness Stipend
Employee Assistance Program and Mental Health Resources
Bonus
Equity

Fulltime

Data Platform Architect

We are seeking a Data Platform Architect to join our Data Platform team. This ro...

Location

United States , San Francisco

Salary:

253500.00 - 380500.00 USD / Year

GoFundMe

Expiration Date

Until further notice

Requirements

10+ years of experience in data architecture, platform engineering, or data engineering, with at least 3+ in a senior or architect role
Proven expertise with modern cloud-native data stacks including Snowflake, Databricks, MDM, Data Catalogs and CDPs
Hands-on experience with Looker or other BI/semantic modeling tools
Strong understanding of graph-based data models, recommendation systems, and personalization architectures
Expertise in data modeling, metadata management, and semantic layers
Proficiency with streaming/event-driven data pipelines and real-time processing (Kafka, Pub/Sub, Spark Streaming, etc.)
Familiarity with AI/ML pipelines, feature stores, and unstructured/structured data integration
Strong foundation in data governance, lineage, cataloging, and compliance frameworks
Excellent communication and leadership skills to align technical direction across diverse teams

Job Responsibility

Modernize, optimize and evolve a cloud-native data stack into a scalable, secure and high performing ecosystem such as SQL & NoSQL repositories for diverse workloads
Leverage modern data platform principles including lakehouse, data fabric and data mesh architectures to improve scalability, decentralization, governance, and interoperability
Design Scalable Architectures: Build flexible architectures to support analytics, real-time reporting, AI/ML Ops pipelines, feature stores, and graph-based data relationships
Unified Data Platform: Design high performing and cost effective solutions that handle both structured and unstructured data at high volume and high velocity
Establish Modeling Standards: Define enterprise-wide standards for data modeling, semantic layers, and golden datasets to enable consistency and reuse
Advance Governance & Quality: Implement frameworks for data lineage, quality, privacy, and security (GDPR, CCPA, PII protections)
Enable Personalization & Insights: Architect data capabilities that fuel advanced recommendations, relationship mapping, and connected user experiences
Evaluate & Integrate Technologies: Guide adoption of best-fit technologies to support evolving use cases in data science, AI, and scalable analytics
Partner Cross-Functionally: Collaborate with engineering, product, analytics, and data science teams to translate business vision into technical solutions
Mentor & Lead: Provide architectural leadership, coaching engineers on best practices while influencing strategic platform decisions

What we offer

Make an Impact: Be part of a mission-driven organization making a positive difference in millions of lives every year
Innovative Environment: Work with a diverse, passionate, and talented team in a fast-paced, forward-thinking atmosphere
Collaborative Team: Join a fun and collaborative team that works hard and celebrates success together
Competitive Benefits: Enjoy competitive pay and comprehensive healthcare benefits
Holistic Support: Enjoy financial assistance for things like hybrid work, family planning, along with generous parental leave, flexible time-off policies, and mental health and wellness resources to support your overall well-being
Growth Opportunities: Participate in learning, development, and recognition programs to help you thrive and grow
Commitment to DEI: Contribute to diversity, equity, and inclusion through ongoing initiatives and employee resource groups
Community Engagement: Make a difference through our volunteering program
equity

Fulltime

Senior Director, Platform Product Management, Data Governance and Security

As part of the Cloud, Data, and AI Platforms organization, the individual in thi...

Location

United States , Bentonville

Salary:

160000.00 - 320000.00 USD / Year

Walmart

Expiration Date

Until further notice

Requirements

10+ years of experience in engineering, support, and product development, with strong technical and consulting expertise
Bachelor’s or Master’s degree in Computer Science or a related field
Proven ability to build and lead high-performing product teams focused on multi-cloud platforms
Expertise in managing product cost, utilization, and efficiency at global scale
Experience engaging senior leaders to define strategy and set priorities for world-class services
Demonstrated success in fostering global collaboration to meet diverse customer needs
Strong technical acumen with the ability to influence product design and provide strategic direction
Customer-focused mindset with a talent for translating needs into impactful product solutions
Experience building resilient, scalable platforms using cloud-native architectures
Comfort with ambiguity and a track record of delivering results in fast-paced, distributed environments

Job Responsibility

Lead cross-functional teams to deliver scalable platform solutions that empower developers and application teams globally
Translate user needs into a strategic product roadmap, prioritizing features that drive measurable business value
Enhance developer experience and streamline adoption through continuous product innovation and operational excellence
Evolve platform capabilities to meet changing demands, with a focus on scalability, availability, and performance
Define and track key metrics to guide investment decisions and maximize ROI
Apply modern product management practices to identify customer needs, close product gaps, and accelerate adoption
Collaborate closely with engineering to execute the roadmap and reduce time-to-market
Use data-driven insights to evaluate platform performance and inform ongoing improvements
Contribute to the development of intellectual property, including tools, models, and best practices

What we offer

401(k) match
stock purchase plan
paid maternity and parental leave
PTO
multiple health plans
medical, vision and dental coverage
company-paid life insurance
family care leave
bereavement
jury duty

Fulltime

Data Architect

Delivery Centric is seeking a highly skilled Data Architect to design cloud-read...

Location

Australia , Sydney

Salary:

Not provided

Delivery Centric Technologies

Expiration Date

Until further notice

Requirements

Proven experience in data architecture, data modelling, and enterprise data platform design
Strong expertise in SQL, NoSQL, data warehousing, and major cloud platforms (Azure, AWS, GCP)
Hands-on experience with ETL/ELT tooling and big data technologies (Spark, Hadoop)
Experience building data pipelines and event-driven workflows
Certifications ideal for this role: Azure Data Engineer, AWS Developer, Databricks Data Engineer
Exposure to AI/ML environments and advanced analytical use cases
Strong analytical and problem-solving capabilities with excellent stakeholder engagement skills

Job Responsibility

Design scalable, secure, and high-performing data architectures aligned to business objectives
Develop conceptual, logical, and physical data models for enterprise data platforms
Drive data governance practices, ensuring compliance, quality, and security across all data assets
Lead integration initiatives and build reliable data pipelines across cloud and on-prem ecosystems
Optimize existing data platforms, improving performance, scalability, and operational efficiency
Collaborate with business stakeholders to translate requirements into technical solutions
Maintain architecture documentation, standards, data dictionaries, and solution diagrams
Support big data, analytics, and AI/ML initiatives through scalable data foundations

Fulltime

Data & AI Architect Principal

The Data and AI Architect Principal is central to BT International's ability to ...

Location

Hungary , Budapest

Salary:

Not provided

Plusnet

Expiration Date

Until further notice

Requirements

Strategic Architecture Leadership – Proven ability to define data and AI platform vision with track record driving large-scale data transformation programs
Data Platform Architecture – Deep expertise in modern data platform design including data lakes, data warehouses, streaming architectures and data mesh patterns
AI/ML Architecture – Strong understanding of machine learning systems including feature engineering, model training, serving, monitoring and MLOps platforms
Agentic AI – Emerging expertise in agentic AI systems including LLM-based agents, tool use and reasoning frameworks for autonomous task execution
Technical Depth – Hands-on background with coding capability in data languages (Python, SQL, Spark), enabling credibility with engineering teams and participation in data work
Data Engineering Patterns – Strong understanding of ETL/ELT patterns, data quality frameworks, schema evolution and data lineage tracking
Cloud-Native Data – Experience with cloud data services and platforms across multi-vendor environments including data warehouses, data lakes and ML platforms
Platform Engineering Mindset – Ability to treat data and AI capabilities as platform products with clear service contracts and developer experience focus

Job Responsibility

Define and lead data and AI platform architecture strategy, establishing patterns that balance functional requirements with non-functional requirements including scalability, data quality, privacy and cost optimization
Work hand in hand with product engineering squads to establish data generation patterns, working directly with engineers to build data-informed products and AI capabilities
Drive architectural strategy for making data available across the organization through self-service data products, APIs and governed data access patterns
Lead the technical vision for AI capabilities distinguishing between machine learning for pattern recognition and agentic AI for autonomous task execution, establishing platform foundations for both
Champion data mesh principles where appropriate, enabling domain teams to own their data as products while maintaining consistency through federated governance
Establish MLOps practices and platforms that enable product teams to train, deploy and monitor machine learning models with the same velocity as application code
Collaborate with IT Systems and NaaS architects to ensure telemetry, network data and business systems generate high-quality data with proper lineage and governance
Work across multi-vendor environments including cloud data platforms, on-premise data systems and SaaS analytics tools to establish cohesive data architecture
Drive architectural governance for data and AI work ensuring solutions follow platform patterns for data quality, model governance and AI safety
Provide technical thought leadership on emerging data and AI technologies, evaluating applicability and translating possibilities into roadmaps aligned with BT International's platform strategy

What we offer

Cafeteria package - HUF 600,000/ year
Performance-based bonus
Comprehensive private health care package for all the employees, which can be extended to family members
Nursery support for mothers returning from maternity
Extended paternity leave: 10+10 day fully paid days
Commuting allowance
Home office allowance
Employee discount opportunities
Highly affordable mobile packages for the family as well
New high-class offices both in Budapest and Debrecen

Fulltime

Senior Cloud Data Architect

As a Senior Cloud Architect, your role will focus on supporting users, collabora...

Location

Spain , Barcelona

Salary:

Not provided

Allianz

Expiration Date

Until further notice

Requirements

Strong expertise in Azure cloud infrastructure, Data & AI technologies, and data platform management, with proficiency in Azure Synapse Analytics, Azure Machine Learning, Azure Data Lake, and Informatica Intelligent Data Management Cloud (IDMC)
Proven experience in modern Data Warehouse architectures (e.g., Lakehouse) and integrating machine learning models and AI capabilities using Azure services like Cognitive Services and Azure Bot Service for predictive analytics and automation
In-depth knowledge of data security and compliance practices using Azure AD, Azure Key Vault, and Informatica’s data governance tools, focusing on data privacy and regulatory standards
Expertise in optimizing resource usage, performance, and costs across Azure services and IDMC, leveraging tools like Azure Cost Management and Azure Monitor, and skilled in ETL/ELT tools and advanced SQL
Proficiency in data integration, machine learning, and generative AI from an architectural perspective, with hands-on experience in Python, SQL, Spark/Scala/PySpark, and container solutions like Docker and Kubernetes
Experience with CI/CD pipelines (e.g., GitHub Actions, Jenkins), microservices architectures, and APIs, with knowledge of architecture frameworks like TOGAF or Zachman, adept at managing multiple priorities in fast-paced environments, and excellent communication and presentation skills
Over 5 years of experience in cloud architecture focusing on Data & AI infrastructure, particularly in Azure, with expertise in building scalable, secure, and cost-effective solutions for data analytics and AI/ML environments.

Job Responsibility

Define and prioritize new functional and non-functional capabilities for the cloud-based data platform, ensuring alignment with business needs and Allianz's security, compliance, privacy, and architecture standards
Act as the platform SME for both potential and existing users, guiding them in the architecture of scalable, high-performance Data & AI solutions
Provide leadership and product guidance to engineering teams during the design, development, and implementation of new platform capabilities
Ensure all solutions meet defined quality standards and acceptance criteria
Work with stakeholders to co-create data solutions, optimizing business models and identifying opportunities for improved data usage
Lead the evaluation and selection of technologies and partners to implement data analytics use cases, focusing on proofs of concept and prototypes
Stay up to date with emerging trends in Data, Analytics, AI/ML, and cloud technologies
Leverage open-source technologies and cloud tools to drive innovation and cost-efficiency
Prepare materials for management briefings and public events
Represent the team in technical discussions, particularly regarding architecture and platform capabilities.

What we offer

Hybrid work model which recognizes the value of striking a balance between in-person collaboration and remote working incl. up to 25 days per year working from abroad
Rewarding performance through company bonus scheme, pension, employee shares program, and multiple employee discounts
Career development and digital learning programs to international career mobility
Flexible working, health and wellbeing offers (including healthcare and parental leave benefits)
Support for balancing family and career and helping employees return from career breaks with experience that nothing else can teach.

Fulltime

Technical Lead – AI/ML & Data Platforms

Thirdeye Data

Location:
United States , Sunnyvale

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
December 26, 2025

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