Lead Architect: AI & Data Job at TM Forum

Lead Data Science & AI Architect

We are seeking a highly skilled Lead Data Science & AI Architect with a strong b...

Location

United States , Philadelphia

Salary:

80.00 - 95.00 USD / Hour

Beacon Hill

Expiration Date

Until further notice

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

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

Lead Data Science & AI Architect

We are seeking a highly skilled Lead Data Science & AI Architect with a strong b...

Location

United States , Philadelphia

Salary:

80.00 - 95.00 USD / Hour

Beacon Hill

Expiration Date

Until further notice

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

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

GCP AI Platform Architect / Lead AI Platform Engineer

Our client is an innovative technology company specializing in the development o...

Location

Poland , Kraków

Salary:

Not provided

TeamQuest Sp. z o. o.

Expiration Date

Until further notice

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

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

Attractive salary
Full remote work
Social benefits:sporto card,healthcare insurance

Fulltime

GCP AI Platform Architect / Lead AI Platform Engineer

Our client is an innovative technology company specializing in the development o...

Location

Poland , Katowice

Salary:

Not provided

TeamQuest Sp. z o. o.

Expiration Date

Until further notice

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

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

Attractive salary
Full remote work
Social benefits: sport card, healthcare insurance

Fulltime

AI Tech Lead / AI Architect

The AI Tech Lead / Architect will design and implement enterprise-grade AI solut...

Location

India , Bangalore

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

7+ years software engineering/architecture experience
2+ years delivering AI/GenAI/ Agentic AI solutions in production
Strong architecture skills: distributed services, APIs, integration, security, and reliability
Hands-on experience with RAG and agentic/workflow orchestration patterns
Strong understanding of multi-agent systems, agent orchestration, and coordination patterns
Experience working with LLMs or AI reasoning systems, including managing model limitations and risks
Solid background in enterprise software engineering, APIs, and system integration
Strong understanding of Agentic AI Cognitive Frameworks
Strong understanding of Architectural Components of Agentic AI systems
Python, production-grade engineering practices

Job Responsibility

Multi-agent architecture & workflow orchestration: Define how agents work together (roles, shared context, coordination) and design orchestrated agent workflows for real business processes
Reusable patterns (avoid one-offs): Establish standard reference patterns and starter implementations so teams don’t build bespoke, hard-to-maintain AI solutions
Governance & compliance built-in: Embed practical controls (human-in-the-loop, approvals where needed) and ensure privacy/security expectations are met for sensitive/client data
Observability & production readiness: Ensure solutions have monitoring/telemetry and meet production standards for reliability and operational support
Enterprise integration & access control: Integrate agents with enterprise platforms/data sources and enforce entitlements/least-privilege access to prevent unintended exposure
Technical leadership & translation: Guide engineering teams, act as SME, and translate business objectives into scalable AI architecture that delivers measurable outcomes

AI Tech Lead / AI Architect

The AI Tech Lead / AI Architect will be responsible for designing and scaling en...

Location

India , Bangalore

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

7+ years software engineering/architecture experience
2+ years delivering AI/GenAI/ Agentic AI solutions in production
Strong architecture skills: distributed services, APIs, integration, security, and reliability
Hands-on experience with RAG and agentic/workflow orchestration patterns
Strong understanding of multi-agent systems, agent orchestration, and coordination patterns
Experience working with LLMs or AI reasoning systems, including managing model limitations and risks
Solid background in enterprise software engineering, APIs, and system integration
Strong understanding of Agentic AI Cognitive Frameworks
Strong understanding of Architectural Components of Agentic AI systems
Python, production-grade engineering practices

Job Responsibility

Multi-agent architecture & workflow orchestration: Define how agents work together (roles, shared context, coordination) and design orchestrated agent workflows for real business processes
Reusable patterns (avoid one-offs): Establish standard reference patterns and starter implementations so teams don’t build bespoke, hard-to-maintain AI solutions
Governance & compliance built-in: Embed practical controls (human-in-the-loop, approvals where needed) and ensure privacy/security expectations are met for sensitive/client data
Observability & production readiness: Ensure solutions have monitoring/telemetry and meet production standards for reliability and operational support
Enterprise integration & access control: Integrate agents with enterprise platforms/data sources and enforce entitlements/least-privilege access to prevent unintended exposure
Technical leadership & translation: Guide engineering teams, act as SME, and translate business objectives into scalable AI architecture that delivers measurable outcomes

Fulltime

New

Ai Data Architect

SDG Group is seeking an AI Data Architect to lead the design of data architectur...

Location

Italy , Milan; Verona; Florence

Salary:

45000.00 - 75000.00 EUR / Year

SDG

Expiration Date

Until further notice

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

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

CCNL: Commercio
Supplementary health insurance
Meal vouchers (ticket restaurant)
Corporate welfare
Performance bonus

Fulltime

Architect, Data & AI

Microsoft Industry Solutions - Global Center Innovation and Delivery Center (GCI...

Location

India , Hyderabad

Salary:

Not provided

Microsoft Corporation

Expiration Date

Until further notice

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

AI-First Delivery Leadership
Engineering Excellence
Innovation & Thought Leadership
Client Engagement & Solutioning
Team Management & Mentorship
Quality & Compliance
Embody our culture and values

Fulltime

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Lead Architect: AI & Data

Job Description

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