AI Technical Architect Job at We Are Meta (Lisbon)

Ai Technical Architect

Location

United States , Auburn Hills

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

20+ years in software engineering with 5+ years focused on AI/ML systems
3+ years hands-on experience architecting and shipping production LLM and agentic AI applications
Demonstrated success leading enterprise-scale AI platform builds with measurable business outcomes
Track record architecting scalable cloud-native systems on AWS in regulated or large-enterprise environments
Experience leading technical teams, mentoring engineers, and engaging executive stakeholders
Bachelor's or Master's degree in Computer Science, AI/ML, or a related technical field
Expert proficiency with LangGraph, LangChain, and agent orchestration frameworks
Deep experience with Amazon Bedrock, SageMaker, and Amazon Q, including Bedrock Agents and Knowledge Bases
Hands-on experience with Model Context Protocol (MCP), function calling, tool use, and structured output patterns
Strong command of prompt engineering, evaluation harnesses, fine-tuning, and model optimization

Job Responsibility

Design the enterprise AI platform architecture spanning the LLM API gateway, GPU and compute allocation pools, sandbox provisioning, model registry, and security gate automation
Define infrastructure standards, API gateway patterns, and reference architectures consumed by all AI delivery towers and partner integrations
Establish guardrails for token metering, rate limiting, audit logging, DLP validation, SAST, DAST, dependency scanning, and model card review embedded in CI/CD
Review security posture across all AI workloads with mapping to NIST AI RMF, AWS Well-Architected (including the Machine Learning Lens), and applicable enterprise compliance baselines
Architect multi-agent systems using LangGraph, LangChain, and Model Context Protocol (MCP) for complex workflow orchestration, planning, and tool use
Define patterns for ReAct, Chain-of-Thought, Tree-of-Thoughts, and agent-to-agent coordination across enterprise and customer-facing use cases
Design and optimize Retrieval-Augmented Generation (RAG) systems, embedding strategies, and semantic search across structured and unstructured enterprise data
Establish MLOps and AgentOps practices for deployment, evaluation, observability, and continuous improvement of agents and models in production
Architect solutions on Amazon Bedrock, Amazon SageMaker, Amazon Q, Bedrock Agents, and Bedrock Knowledge Bases
Define infrastructure patterns using Amazon EKS, AWS Lambda, ECS Fargate, API Gateway, EventBridge, SNS/SQS, Kinesis, S3, DynamoDB, Aurora, Redshift, Athena, OpenSearch, and Kendra

Fulltime

AI Technical Architect

We are hiring an AI Technical Architect to support our most strategic customers ...

Location

Amsterdam; Berlin; London; Munich; Paris

Salary:

Not provided

Miro

Expiration Date

Until further notice

Requirements

6+ years of experience in a technical consulting, solution architecture, or professional services role with customer-facing responsibilities
Hands-on experience designing or implementing AI solutions, including working with LLMs, prompt engineering, and/or agent frameworks (e.g. AutoGPT, LangChain, RAG)
Strong familiarity with AI tooling and APIs (e.g. OpenAI, Hugging Face, Vertex AI), and knowledge of how to integrate these within customer workflows
Experience designing, evaluating, and deploying AI agents or workflows using frameworks like LangChain, CrewAI, or AutoGPT
Knowledge of REST APIs and experience with low-code/no-code automation platforms is a strong plus
Excellent facilitation and communication skills with the ability to explain complex AI concepts to a non-technical audience
Strategic mindset with a bias toward experimentation, iteration, and learning
Knowledge of enterprise AI safety, data privacy, and responsible deployment practices
Hands-on experience integrating AI into enterprise SaaS environments using APIs or low-code tools
Curiosity and empathy—especially when it comes to understanding a customer’s needs and how AI can uniquely solve them

Job Responsibility

Lead customer discovery sessions focused on identifying AI use cases, data sources, technical constraints, and automation opportunities
Design and implement AI-driven solutions in Miro, including intelligent templates, agents, summarisation tools, and custom GPT integrations
Serve as a trusted advisor on AI solution architecture, including data privacy, compliance, API usage, and model performance monitoring
Guide customers through technical setup and change management for Miro’s AI features and integrations with other AI or automation platforms (e.g. Zapier, Workato, OpenAI, Azure OpenAI, LangChain)
Collaborate with Product and Engineering to influence the roadmap based on real-world customer needs and emerging AI trends
Partner with Customer Success and Account Managers to ensure successful onboarding, measurable adoption, and retention of AI use cases
Facilitate enablement sessions and workshops for technical and non-technical audiences on using Miro’s AI tools effectively
Contribute to documentation, best practices, and scalable assets for repeatable AI engagements

What we offer

Competitive equity package
Lunch, snacks and drinks provided in the office
Wellbeing benefit and WFH equipment allowance
Annual learning and development allowance to grow your skills and career
Opportunity to work for a globally diverse team

Ai Technical Architect - Sap & Core Business Systems

We are seeking an experienced AI Technical Architect to join a global organisati...

Location

Salary:

100000.00 EUR / Year

twentyAI

Expiration Date

Until further notice

Requirements

8+ years' experience in SAP architecture, engineering, or enterprise technology roles
Strong expertise across SAP BTP, AI Core, Datasphere, Business AI, and S/4HANA environments
Deep understanding of finance, supply chain, procurement, sales, and operational business processes
Experience with SAP integrations, extensibility, and enterprise application architecture
Hands-on development and MLOps experience
Proven ability to lead technical teams while remaining actively involved in delivery
Strong stakeholder management and communication skills
Experience within manufacturing or regulated environments is advantageous
Fluency in English required
additional European languages are beneficial

Job Responsibility

Design and deliver AI solutions leveraging SAP AI technologies and data platforms
Build AI capabilities across finance, supply chain, procurement, sales, and warehouse operations
Integrate enterprise, manufacturing, and operational data into AI-driven workflows
Develop scalable architectures across SAP environments and business applications
Support AI deployment, MLOps, governance, and long-term platform maintainability
Drive best practices around compliance, auditability, and regulated AI solutions
Lead and mentor a team of engineers and technical specialists
Collaborate with business stakeholders to identify and deliver high-impact use cases

What we offer

Remote working flexibility
Opportunity to shape AI strategy and delivery within a global organisation
Exposure to leading SAP and AI technologies
Collaborative, international working environment
Strong professional development and career progression opportunities
Competitive salary and benefits package

Fulltime

Ai Technical Architect - Microsoft & Enterprise Systems

We are seeking an experienced AI Technical Architect to join a global technology...

Location

Salary:

100000.00 EUR / Year

twentyAI

Expiration Date

Until further notice

Requirements

8+ years' experience in solution architecture, software engineering, data, or AI-related roles
Strong expertise across Azure, Microsoft AI services, Fabric, Power Platform, and Copilot technologies
Experience developing and deploying AI/ML solutions in production environments
Strong knowledge of data architecture, governance, and modern analytics platforms
Hands-on coding and MLOps experience
Previous leadership or team mentoring experience
Excellent communication and stakeholder management skills
Experience within regulated, manufacturing, or industrial environments is beneficial
EU work authorisation required

Job Responsibility

Design and deliver AI solutions using Microsoft's cloud and AI ecosystem
Lead architecture across Azure AI, OpenAI, Microsoft Fabric, Copilot, and Power Platform technologies
Build and oversee data platforms supporting analytics, machine learning, and business intelligence
Integrate AI capabilities with operational and enterprise systems
Drive best practices across security, governance, privacy, and responsible AI
Mentor engineers and data professionals while supporting project delivery
Ensure platform performance, scalability, and long-term maintainability
Work closely with business stakeholders to identify and deliver high-value use cases

What we offer

Remote working flexibility
Opportunity to shape enterprise AI strategy and delivery
Access to cutting-edge Microsoft technologies
Collaborative, high-performing technical environment
Strong career development and leadership growth opportunities
Competitive salary and benefits package

Fulltime

Technical Architect (AI)

The AI Solutions Engineer is a specialist role, responsible for actively partici...

Location

Indonesia , Jakarta Selatan

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

Demonstrated understanding of artificial intelligence, natural language processing (NLP), and machine learning principles
Expertise in selecting, fine-tuning, and deploying large and small language models (LLMs/SLMs), such as OpenAI's GPT series and open-source alternatives
Specialist proficiency in Python programming, essential for rapid prototyping, integration, and model implementation
Knowledge of additional programming languages (optional, but valuable): JavaScript / TypeScript, Java / C#
Familiarity with full-stack software development, including frontend and backend integration, user experience considerations, and system interoperability
Robust knowledge of data pipeline development, data engineering concepts, and handling of structured and unstructured data
Proficiency in cloud computing platforms (Azure, AWS, GCP), particularly in deploying, scaling, and managing AI workloads
Experience with Microsoft Copilot Studio, Azure AI Foundry, and Semantic Kernel is highly desirable
Awareness and application of security, compliance, and risk management practices related to AI solutions
Understanding of ethical AI considerations, bias mitigation, and responsible AI deployment

Job Responsibility

Develop, fine-tune, and deploy AI models, including large language models (LLMs) such as GPT-4 or open-source equivalents
Design and implement effective prompt engineering strategies and optimizations to enhance AI accuracy, consistency, and reliability
Engage with internal stakeholders and clients to understand business needs, translating them into actionable AI solutions
Rapidly prototype, test, and iterate AI applications using advanced Python programming and relevant frameworks
Integrate AI solutions securely with existing enterprise systems (CRM, ERP, HRIS, finance platforms, collaboration software) via API development and integration
Build, maintain, and optimize end-to-end data pipelines to ensure accurate and timely data delivery for AI models
Manage structured and unstructured datasets, leveraging vector databases and semantic search to enhance knowledge management capabilities
Deploy, manage, and scale AI solutions within cloud computing environments (Azure, AWS, GCP), ensuring high availability, performance, and cost efficiency
Implement DevOps and MLOps practices, including automated deployment, testing, monitoring, and version control, to efficiently manage the AI model lifecycle
Ensure AI solutions adhere to industry standards and compliance regulations (GDPR, HIPAA), emphasizing security and privacy best practices

Fulltime

Senior Technical Architect – AI & Digital Engineering

Acuver Consulting looking for a Senior Technical Architect – AI & Digital Engine...

Location

India , Bengaluru

Salary:

Not provided

Acuver Consulting

Expiration Date

Until further notice

Requirements

12–14 years of relevant experience in solution architecture, enterprise application design, and cloud-native engineering, with increasing responsibility in leading cross-functional technical teams
Strong experience designing enterprise-grade applications on Java/J2EE or comparable platforms
Deep knowledge of architectural and design patterns
Experience designing cloud-native systems on AWS, Azure, or GCP
Experience building secure distributed systems
Strong experience with messaging platforms such as Kafka
Experience with modern frameworks like Spring Boot
Experience designing data architectures
Experience defining CI/CD pipelines
Experience with version control systems

Job Responsibility

Lead architecture for AI-enabled applications, including ML, GenAI, intelligent automation, and advanced analytics integrations
Translate business use cases into rapid prototypes and scalable reference architectures
Define reusable starter frameworks and solution accelerators
Partner with Data Science and AI teams to productionize models
Establish best practices for LLM/GenAI integration and observability
Develop and present end-to-end architectural blueprints
Apply modern architectural patterns to design scalable systems
Define cloud-native architectures across AWS, Azure, or GCP
Guide teams in building API-first, event-driven platforms
Evaluate and select appropriate technologies

Fulltime

Technical Architect - AI ML

Location

Salary:

Not provided

3Pillar Global

Expiration Date

Until further notice

Requirements

How many years of experience do you have with AI/ML Practice?
Do you have experience in MLOps?
Experience in Agentic AI
Do you have experience in LLM, NLP Libraries ?

Fulltime

Technical Architect - AI ML

At 3Pillar, culture is more than a buzzword. The power of culture, teamwork, and...

Location

India

Salary:

Not provided

3Pillar Global

Expiration Date

Until further notice

Requirements

Master’s degree in Computer Science, Engineering, Mathematics, or a related field with 12+ years of industry experience in machine learning or data science, with a track record of delivering impactful projects
a Ph.D. is highly desirable
Strong grasp of AI architecture patterns (RAG, agent-based systems, prompt orchestration)
Deep experience with Python, ML libraries (scikit-learn, XGBoost, PyTorch, TensorFlow)
Hands-on with Gen AI APIs (OpenAI, Claude, Gemini), prompt engineering, embeddings, and fine-tuning
Experience designing enterprise AI systems with MLOps (MLflow, Kubeflow, SageMaker Pipelines)
Familiarity with APIs, microservices, and containerization (Docker, Kubernetes)
Experience in Data Governance, Model Risk Management, and compliance
Extensive knowledge of machine learning theory, algorithms, and methodologies
Strong leadership and communication skills, with the ability to influence stakeholders at all levels of the organization

Job Responsibility

Define end-to-end architecture for AI/ML and Gen AI systems including data pipelines, model training/inference, and MLOps
Serve as a strategic technical advisor to clients, leading solution design discussions, presenting AI/ML architectures, and representing 3Pillar in client-facing interactions to drive innovation and business value
Architect scalable solutions using cloud-native AI tools (Azure ML, AWS SageMaker, or GCP Vertex AI)
Lead the integration of Generative AI into components / features leveraging LLMs into enterprise applications using APIs (OpenAI, Gemini and others) or open source models like LLama
Design retrieval-augmented generation (RAG) systems with vector databases (Pinecone, Weaviate, FAISS and similar)
Guide teams on MLOps frameworks for CI/CD, model versioning, monitoring, and automated retraining
Evaluate build-vs-buy decisions and benchmark AI tools/platforms
Evaluate emerging technologies and trends in AI, ML, Gen AI space and recommend adoption strategies
Mentor technical teams and guide solution architects, data engineers, and ML engineers
Ensure ethical and responsible AI practices including bias detection, interpretability, and governance

What we offer

Imagine a flexible work environment – whether it's the office, your home, or a blend of both. From interviews to onboarding, we embody a remote-first approach
You will be part of a global team, learning from top talent around the world and across cultures, speaking English everyday. Our global workforce enables our team to leverage global resources to accomplish our work in efficient and effective teams
We’re big on your well-being – as a company, we spend a whole trimester in our annual cycle focused on wellbeing. Whether it is taking advantage of fitness offerings, mental health plans (country-dependent), or simply leveraging generous time off, we want all of our team members operating at their best
Our professional services model enables us to accelerate career growth and development opportunities - across projects, offerings, and industries
We are an equal opportunity employer. It goes without saying that we live by values like Intrinsic Dignity and Open Collaboration to create cutting-edge technology AND reinforce our commitment to diversity - globally and locally

Fulltime

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AI Technical Architect

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