Photon Logo

Photon

Data and AI Architect | Onsite | New York

Posted 3 Days Ago
Be an Early Applicant
Remote
Hiring Remotely in United States
100K-300K Annually
Senior level
Remote
Hiring Remotely in United States
100K-300K Annually
Senior level
Lead design and implement cloud-based data platforms and GenAI solutions using AWS/Azure/GCP, Databricks, and Snowflake. Build scalable ETL/ELT pipelines, deploy ML/LLM models, define data governance and compliance, advise clients, manage delivery, and mentor cross-functional teams.
The summary above was generated by AI

Title: Data and AI Architect (Lead/Manager Level)

Location: New York

Overview:

We are seeking a Data and AI Architect with a proven track record in designing and implementing data platforms and AI solutions using cloud technologies (AWS, Azure, GCP), Databricks, and Snowflake. The ideal candidate will combine technical expertise, hands-on experience, and leadership capabilities to deliver impactful solutions for our clients, including the development and deployment of GenAI solutions for next-generation business applications.

Key Responsibilities:

Solution Design and Implementation

  • Architect and implement modern data platforms using cloud technologies such as AWS, Azure, and GCP.
  • Build scalable and efficient data pipelines leveraging Databricks and Snowflake to support diverse client needs.
  • Design and deploy AI/GenAI solutions, including machine learning models, natural language processing tools, and predictive analytics, to address complex business challenges.

Data Governance and Quality

  • Develop data governance frameworks to ensure data quality, security, and compliance with industry regulations.
  • Implement best practices for data lineage, monitoring, and cataloging using tools like Databricks and Snowflake.
  • Work with clients to establish policies for managing data assets and ensuring compliance with GDPR, CCPA, and other regulatory requirements.

Client Engagement and Delivery

  • Act as a trusted technical advisor to clients, translating business challenges into actionable data and AI strategies.
  • Lead workshops, provide guidance on architecture decisions, and ensure alignment with client objectives.
  • Manage solution delivery, including resource planning, timeline tracking, and adherence to budget constraints.

Technology Expertise and Innovation

  • Stay current on advancements in cloud platforms, Databricks, Snowflake, and AI technologies to recommend innovative solutions.
  • Explore and implement GenAI technologies to create transformative solutions such as personalized customer experiences, generative content creation, and intelligent automation.
  • Contribute to the development of reusable frameworks and accelerators to enhance delivery efficiency.

Team Leadership and Development

  • Provide technical leadership to cross-functional teams, ensuring high-quality delivery of data and AI projects.
  • Mentor team members on cloud technologies, data platforms, and AI frameworks.
  • Foster a collaborative environment to encourage innovation and continuous learning.

Qualifications:

  • Experience: 6–10 years of experience in data architecture, engineering, or analytics, including client-facing or consulting roles.
  • Cloud Expertise: Hands-on experience with AWS, Azure, and GCP, including data storage, compute, and analytics services.
  • Data Platforms: Strong knowledge of Databricks and Snowflake, including experience with ETL/ELT workflows, performance tuning, and scaling.
  • AI/GenAI Knowledge: Experience designing and deploying AI/GenAI solutions using frameworks like TensorFlow, PyTorch, Hugging Face, and advanced large language models (LLMs) such as OpenAI's GPT and Google's Gemini.
  • Technical Skills: Proficiency in SQL, Python, Spark, and other data engineering and analytics tools.
  • Leadership: Ability to lead technical teams and manage client engagements effectively.
  • Education: Bachelor’s degree in Computer Science, Data Science, or a related field; advanced degree preferred.

Preferred Skills:

  • Certification in AWS, Azure, or GCP architecture.
  • Familiarity with tools such as dbt, Apache Airflow, and Kafka.
  • Knowledge of customer data platforms and data-driven marketing strategies.

Compensation, Benefits and Duration

Minimum Compensation: USD 100,000
Maximum Compensation: USD 300,000
Compensation is based on actual experience and qualifications of the candidate. The above is a reasonable and a good faith estimate for the role.
Medical, vision, and dental benefits, 401k retirement plan, variable pay/incentives, paid time off, and paid holidays are available for full time employees.
This position is not available for independent contractors
No applications will be considered if received more than 120 days after the date of this post

Similar Jobs

43 Minutes Ago
Easy Apply
Remote or Hybrid
Easy Apply
176K-251K Annually
Expert/Leader
176K-251K Annually
Expert/Leader
Cloud • Information Technology • Security • Software • Cybersecurity
Serve as the field technical authority bridging enterprise AI and security: drive AI security strategy, lead demos and POVs, advise on LLM/RAG/agent risks and data protection, influence product roadmap, and create reusable enablement assets to scale sales and secure production AI deployments.
Top Skills: AgentsApi IntegrationsCloud-Native Security PlatformsData Loss Prevention (Dlp)Llm ApisLlmsModel Context Protocol (Mcp)Prompt WorkflowsRetrieval-Augmented Generation (Rag)Zero Trust
43 Minutes Ago
Easy Apply
Remote or Hybrid
Easy Apply
176K-251K Annually
Expert/Leader
176K-251K Annually
Expert/Leader
Cloud • Information Technology • Security • Software • Cybersecurity
Lead field-facing AI security strategy for enterprise customers: architect solutions, deliver demos/POVs, advise on LLM/RAG/agent security, prevent data exposure, and scale enablement across sales and product teams.
Top Skills: AgentsApi IntegrationsCloud-Native Security PlatformsDlpLlm ApisLlmsMcp (Model Context Protocol)Prompt WorkflowsRagZero Trust
43 Minutes Ago
Easy Apply
Remote or Hybrid
4 Locations
Easy Apply
176K-251K Annually
Expert/Leader
176K-251K Annually
Expert/Leader
Cloud • Information Technology • Security • Software • Cybersecurity
Serve as field-facing technical authority on enterprise AI security: define AI technical strategy, design and deliver tailored demos/POVs, advise on LLM/RAG/agent risks and data protection, feed product roadmap, and create reusable enablement assets and training for sales and engineering teams.
Top Skills: Agentic AutomationApi IntegrationsCloud-Native Security PlatformsData Loss Prevention (Dlp)GenaiLarge Language Models (Llms)Llm ApisModel Context Protocol (Mcp)Prompt WorkflowsRetrieval-Augmented Generation (Rag)ScriptingZero Trust

What you need to know about the Charlotte Tech Scene

Ranked among the hottest tech cities in 2024 by CompTIA, Charlotte is quickly cementing its place as a major U.S. tech hub. Home to more than 90,000 tech workers, the city’s ecosystem is primed for continued growth, fueled by billions in annual funding from heavyweights like Microsoft and RevTech Labs, which has created thousands of fintech jobs and made the city a go-to for tech pros looking for their next big opportunity.

Key Facts About Charlotte Tech

  • Number of Tech Workers: 90,859; 6.5% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Lowe’s, Bank of America, TIAA, Microsoft, Honeywell
  • Key Industries: Fintech, artificial intelligence, cybersecurity, cloud computing, e-commerce
  • Funding Landscape: $3.1 billion in venture capital funding in 2024 (CED)
  • Notable Investors: Microsoft, Google, Falfurrias Management Partners, RevTech Labs Foundation
  • Research Centers and Universities: University of North Carolina at Charlotte, Northeastern University, North Carolina Research Campus

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account