CrawlJobs Logo
Beacon Hill Logo Beacon Hill · IT - Software Development

Lead Data Science & AI Architect

United States, Philadelphia 80.00 - 95.00 USD / Hour · Job Posted February 04, 2026
Apply Position
Job Link Share

Job Description

We are seeking a highly skilled Lead Data Science & AI Architect with a strong background in data mining, predictive modeling, and deep learning. This role focuses on building high‑performing analytical models. The ideal candidate is a hands‑on technical leader experienced in Python, classical and deep learning methods, and end‑to‑end model architecture. You will guide technical strategy, mentor team members, collaborate with stakeholders, and drive the development of advanced data‑driven solutions.

Job Responsibility

  • Architect, design, and implement advanced machine learning and deep learning models
  • Build predictive models, including classification, regression, anomaly detection, and time‑series forecasting
  • Develop and refine data mining workflows to extract meaningful signals from large, complex datasets
  • Write high‑quality, production‑ready Python code using frameworks such as PyTorch, TensorFlow, scikit‑learn, and related libraries
  • Serve as the technical lead for data science initiatives, establishing best practices and guiding modeling strategy
  • Ensure model performance, reliability, and scalability through rigorous evaluation and iterative improvement
  • Lead exploratory data analysis (EDA), feature engineering, and dataset preparation for modeling
  • Identify patterns, correlations, and opportunities for predictive modeling across diverse datasets
  • Validate data quality, assumptions, and statistical integrity throughout the development lifecycle.

Requirements

  • 6+ years of experience in Data Science
  • Experience leading technical projects or serving in a senior/lead capacity
  • Demonstrated expertise in data mining, predictive analytics, and building production‑grade ML/DL models
  • Strong proficiency in Python, including data science and deep learning libraries
  • Experience designing and implementing models such as: Deep neural networks (CNN, RNN, LSTM, etc.)
  • Classic ML models (logistic regression, random forest, gradient boosting, SVM, etc.)
  • Classification and regression solutions
  • Solid understanding of statistics, model evaluation metrics, and algorithm selection
  • Ability to define solution architecture, drive technical direction, and mentor other data scientists.
Beacon Hill - All Job Offers

Looking for more opportunities?

Search for other job offers that match your skills and interests.

Suggested Tags: Frontend Developer Secretary Talent Manager Salesforce Administrator Data Analyst
Similar Jobs for

Lead Data Science & AI Architect

8 matching positions

Lead Data Science & AI Architect

We are seeking a highly skilled Lead Data Science & AI Architect with a strong b...
Location
Location
United States , Philadelphia
Salary
Salary:
80.00 - 95.00 USD / Hour
bhsg.com Logo
Beacon Hill
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 6+ years of experience in Data Science
  • Experience leading technical projects or serving in a senior/lead capacity
  • Demonstrated expertise in data mining, predictive analytics, and building production‑grade ML/DL models
  • Strong proficiency in Python, including data science and deep learning libraries
  • Experience designing and implementing models such as: Deep neural networks (CNN, RNN, LSTM, etc.)
  • Classic ML models (logistic regression, random forest, gradient boosting, SVM, etc.)
  • Classification and regression solutions
  • Solid understanding of statistics, model evaluation metrics, and algorithm selection
  • Ability to define solution architecture, drive technical direction, and mentor other data scientists.
Job Responsibility
Job Responsibility
  • Architect, design, and implement advanced machine learning and deep learning models
  • Build predictive models, including classification, regression, anomaly detection, and time‑series forecasting
  • Develop and refine data mining workflows to extract meaningful signals from large, complex datasets
  • Write high‑quality, production‑ready Python code using frameworks such as PyTorch, TensorFlow, scikit‑learn, and related libraries
  • Serve as the technical lead for data science initiatives, establishing best practices and guiding modeling strategy
  • Ensure model performance, reliability, and scalability through rigorous evaluation and iterative improvement
  • Lead exploratory data analysis (EDA), feature engineering, and dataset preparation for modeling
  • Identify patterns, correlations, and opportunities for predictive modeling across diverse datasets
  • Validate data quality, assumptions, and statistical integrity throughout the development lifecycle.
  • Fulltime
Read More
Arrow Right

GCP AI Platform Architect / Lead AI Platform Engineer

Our client is an innovative technology company specializing in the development o...
Location
Location
Poland , Kraków
Salary
Salary:
Not provided
teamquest.pl Logo
TeamQuest Sp. z o. o.
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • GCP Expertise (verifiable - ask for production examples): GCP is their primary cloud not secondary experience alongside AWS/Azure. Production deployments across most of: Vertex AI, Cloud Run or GKE, Pub/Sub, BigQuery, Secret Manager, VPC Service Controls, IAM + Workload Identity. Has designed for GCP from scratch, not migrated from another cloud, end-to-end ownership
  • AI / Backend Engineering: Python is the primary language - production-grade service/API development, not scripting or data science only. Strong track record building distributed systems and integrating LLMs.
  • Agentic Architecture (must be production, not PoC): Hands-on production experience with at least one: LangGraph, Google ADK, CrewAI, or custom multi-agent orchestration layer. RAG pipelines shipped to production. Google ADK: candidate must be able to explain what it is, when to use it, and how it compares to LangGraph and custom orchestration. AI agent workflows, ReAct prompting, and Function Calling in production environments
  • Multi-Tenant Architecture: Has designed a multi-tenant SaaS platform end-to-end - not just contributed. Can articulate tenant isolation strategies: IAM boundary design, data isolation per tenant, VPC controls.
  • API Design & Integrations: Proven ability to create secure, high-performance APIs capable of asynchronously managing traffic and communication between multiple decoupled services.
  • Enterprise Security: Practical knowledge of data isolation in multi-tenant SaaS architectures, IAM, and securing cloud-based environments.
  • Vector Databases: Hands-on experience with semantic search and at least one of: Pinecone, Weaviate, pgvector, or Vertex Matching Engine.
Job Responsibility
Job Responsibility
  • System Architecture: Design and develop a scalable, cloud-native architecture on Google Cloud Platform (GCP) that meets enterprise security and multi-tenant data isolation requirements for a SaaS environment
  • AI Agent Orchestration: Architect and implement autonomous, multi-step AI workflows with a clear separation of agent responsibilities (retrieval, analysis, reasoning, response generation)
  • Hands-on Core Development: Actively contribute to core system development-coding orchestration logic, designing services, optimizing performance, and building secure API integrations for routing queries across internal and external agents
  • Frontend Enablement: Design the backend layer, streaming protocols, and APIs to seamlessly support and integrate with advanced conversational UIs
  • Data Management & Extensibility: Build a robust backend capable of processing qualitative and social data, ensuring the platform is easily extensible to incorporate new data sources
What we offer
What we offer
  • Attractive salary
  • Full remote work
  • Social benefits:sporto card,healthcare insurance
  • Fulltime
Read More
Arrow Right

GCP AI Platform Architect / Lead AI Platform Engineer

Our client is an innovative technology company specializing in the development o...
Location
Location
Poland , Katowice
Salary
Salary:
Not provided
teamquest.pl Logo
TeamQuest Sp. z o. o.
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • GCP Expertise (verifiable - ask for production examples): production deployments across most of: Vertex AI, Cloud Run or GKE, Pub/Sub, BigQuery, Secret Manager, VPC Service Controls, IAM + Workload Identity
  • Has designed for GCP from scratch, not migrated from another cloud, end-to-end ownership
  • AI / Backend Engineering: Python is the primary language - production-grade service/API development, not scripting or data science only
  • Strong track record building distributed systems and integrating LLMs
  • Agentic Architecture (must be production, not PoC): Hands-on production experience with at least one: LangGraph, Google ADK, CrewAI, or custom multi-agent orchestration layer
  • RAG pipelines shipped to production
  • Google ADK: candidate must be able to explain what it is, when to use it, and how it compares to LangGraph and custom orchestration
  • AI agent workflows, ReAct prompting, and Function Calling in production environments
  • Multi-Tenant Architecture: Has designed a multi-tenant SaaS platform end-to-end - not just contributed
  • Can articulate tenant isolation strategies: IAM boundary design, data isolation per tenant, VPC controls
Job Responsibility
Job Responsibility
  • System Architecture: Design and develop a scalable, cloud-native architecture on Google Cloud Platform (GCP) that meets enterprise security and multi-tenant data isolation requirements for a SaaS environment
  • AI Agent Orchestration: Architect and implement autonomous, multi-step AI workflows with a clear separation of agent responsibilities (retrieval, analysis, reasoning, response generation)
  • Hands-on Core Development: Actively contribute to core system development-coding orchestration logic, designing services, optimizing performance, and building secure API integrations for routing queries across internal and external agents
  • Frontend Enablement: Design the backend layer, streaming protocols, and APIs to seamlessly support and integrate with advanced conversational UIs
  • Data Management & Extensibility: Build a robust backend capable of processing qualitative and social data, ensuring the platform is easily extensible to incorporate new data sources
What we offer
What we offer
  • Attractive salary
  • Full remote work
  • Social benefits: sport card, healthcare insurance
  • Fulltime
Read More
Arrow Right

Ai Data Architect

SDG Group is seeking an AI Data Architect to lead the design of data architectur...
Location
Location
Italy , Milan; Verona; Florence
Salary
Salary:
45000.00 - 75000.00 EUR / Year
sdggroup.com Logo
SDG
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Solid experience in complex enterprise AI data architectures
  • Strong knowledge of data management models and architectures
  • Ability to define comprehensive data solutions
  • Degree in Computer Science, Telecommunications Engineering, Mathematics, Physics, or related disciplines
  • Solid experience in designing and evolving AI data architectures within complex enterprise environments
  • Strong knowledge of modern data management and exploitation models, as well as distributed and analytical architectures
  • Ability to define end-to-end solutions covering data integration, storage, processing, governance, security, and consumption
  • Experience working with both technical and business teams, acting as a technical reference and decision-making facilitator
  • Knowledge of best practices in data quality, automation, observability, and data platform governance
  • Innovative mindset, continuous improvement orientation, and the ability to assess new trends and approaches within the Data ecosystem
Job Responsibility
Job Responsibility
  • Design scalable data architectures aligned with business objectives
  • Lead the definition of data platforms ensuring security and efficiency
  • Promote best practices in data governance and quality
What we offer
What we offer
  • CCNL: Commercio
  • Supplementary health insurance
  • Meal vouchers (ticket restaurant)
  • Corporate welfare
  • Performance bonus
  • Fulltime
Read More
Arrow Right

Architect, Data & AI

Microsoft Industry Solutions - Global Center Innovation and Delivery Center (GCI...
Location
Location
India , Hyderabad
Salary
Salary:
Not provided
https://www.microsoft.com/ Logo
Microsoft Corporation
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 20+ years of experience in software/solution engineering, with at least 10–15 years as Architect and Delivery leadership roles
  • Proven experience in leading delivery of complex, multi-disciplinary projects
  • Strong understanding of delivery methodologies (Agile, Scrum, DevOps, etc.) and adopt emerging practices for faster Go To Market (GTM) using Hyper Velocity Engineering
  • Excellent communication, stakeholder management, problem-solving, and team leadership skills
  • Bachelor’s degree in computer science, Engineering, or related field (or equivalent experience)
  • Relevant certifications are a plus
  • Enterprise Data Architecture & Modern Platforms
  • Data Engineering & Large Scale Data Processing
  • Database Platforms, Performance & Capacity Engineering
  • AI First Data Engineering & Unify Your Data
Job Responsibility
Job Responsibility
  • AI-First Delivery Leadership
  • Engineering Excellence
  • Innovation & Thought Leadership
  • Client Engagement & Solutioning
  • Team Management & Mentorship
  • Quality & Compliance
  • Embody our culture and values
  • Fulltime
Read More
Arrow Right

Digital Transformation and Data Science Lead of Live Operations

Lead the digital and analytics evolution of our live operations. As the Digital ...
Location
Location
United States , Salisbury
Salary
Salary:
128000.00 - 192000.00 USD / Year
perduefarms.com Logo
Perdue Farms
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor’s Degree in Data Science, Computer Science, Engineering, Operations Research, or a related field
  • 5-8 years of experience
  • Strong experience with Dataiku and/or similar data science platforms
  • Advanced proficiency in Power BI or comparable data visualization tools
  • Demonstrated ability to solve complex problems using advanced analytical techniques and independent judgment
  • Experience leading large projects or processes with limited oversight
  • Proven ability to influence cross‑functional stakeholders and translate business needs into technical solutions
  • Strong communication skills with the ability to convey complex concepts to non‑technical audiences
Job Responsibility
Job Responsibility
  • Lead the strategy, design, development, and deployment of advanced analytics, AI, and data science solutions supporting live operations
  • Architect and optimize end‑to‑end data workflows and models using Dataiku or comparable platforms
  • Develop scalable dashboards, reporting frameworks, and visualization strategies in Power BI to support operational and executive decision‑making
  • Develop and support AI and machine learning models for forecasting and operational decision‑making
  • Identify opportunities to enhance performance through data insights, automation, and predictive analytics
  • Establish best practices, standards, and methodologies for analytics development and data governance
  • Lead and influence digital transformation initiatives across live operations, identifying and prioritizing high‑impact opportunities
  • Translate business needs into scalable digital solutions and drive alignment on approach, design, and implementation
  • Drive process improvement through automation, standardization, and advanced data utilization
  • Evaluate emerging technologies and recommend adoption strategies aligned to business objectives
What we offer
What we offer
  • medical/Rx
  • 401(k) with employer match after 1 year
  • critical illness
  • accident insurance
  • dental
  • vision
  • life insurance
  • optional group life insurance
  • short-term and long-term disability protection
  • flexible spending accounts
  • Fulltime
Read More
Arrow Right

Architect, Data & AI

The Architect is a senior leader responsible for the successful technical execut...
Location
Location
India , Hyderabad
Salary
Salary:
Not provided
https://www.microsoft.com/ Logo
Microsoft Corporation
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 20+ years of experience in software/solution engineering, with at least 10–15 years as Architect and Delivery leadership roles
  • Proven experience in leading delivery of complex, multi-disciplinary projects
  • Strong understanding of delivery methodologies (Agile, Scrum, DevOps, etc.) and adopt emerging practices for faster Go To Market (GTM) using Hyper Velocity Engineering
  • Excellent communication, stakeholder management, problem-solving, and team leadership skills
  • Bachelor’s degree in computer science, Engineering, or related field (or equivalent experience)
  • Relevant certifications are a plus
  • Expertise in Enterprise Data Architecture & Modern Platforms
  • Expertise in Data Engineering & Large Scale Data Processing
  • Expertise in Database Platforms, Performance & Capacity Engineering
  • Expertise in AI First Data Engineering & Unify Your Data
Job Responsibility
Job Responsibility
  • Embed AI-first mindset into delivery workflows, leveraging automation and intelligent orchestration where applicable
  • Lead end-to-end delivery of complex projects, ensuring solutions are scalable, robust, and aligned with client business outcomes
  • Drive engineering excellence through reusable components, accelerators, and scalable architecture
  • Oversee technical execution across multiple projects, ensuring adherence to best practices, quality standards, and compliance requirements
  • Collaborate with clients and internal stakeholders to define strategies, delivery plans, milestones, and risk mitigation approaches
  • Act as a technical point of contact for clients, translating business requirements into scalable technical solutions
  • Ensure delivery models are optimized for modern AI-native execution, including integration of automation and intelligent processes
  • Ability to step into at‑risk projects, quickly assess issues, and establish a credible path to recovery or exit
  • Promote high-quality architecture and ensure integrity and performance across delivery
  • Establish secure coding, test-driven development, observability, and performance standards as defaults
  • Fulltime
Read More
Arrow Right

Principal Architect - Data AI

Microsoft is on a mission to empower every person and every organization on the ...
Location
Location
India , Hyderabad
Salary
Salary:
Not provided
https://www.microsoft.com/ Logo
Microsoft Corporation
Expiration Date
Until further notice
Flip Icon
Requirements
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
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
Read More
Arrow Right