AI Architect
AI Architect
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1 Vacancy
Job Description
Important Information:
Years of Experience: 10 years in IT with at least 5 years in AI/ML architecture and solution delivery
Job Mode: Full-time
Work Mode: Remote within Mexico
Job Summary:
We are seeking a highly experienced AI Architect to lead the design development and implementation of AI/ML-driven solutions for global clients. The ideal candidate has a strong background in machine learning cloud-native architectures and enterprise-grade AI adoption. As a nearshore leader you will collaborate with product owners data scientists and engineering teams to translate business needs into scalable AI solutions while ensuring compliance performance and innovation.
Responsibilities and Duties:
Lead the architecture and design of AI/ML platforms and solutions ensuring scalability security and performance.
Partner with stakeholders to identify AI/ML opportunities and define adoption roadmaps.
Guide the selection of AI frameworks libraries and tools (e.g. TensorFlow PyTorch Hugging Face LangChain).
Collaborate with data engineers to establish secure high-quality pipelines for model training and inference.
Define and implement AI/ML governance practices including MLOps retraining monitoring versioning and bias detection.
Provide technical leadership to data scientists ML engineers and software developers.
Drive AI integration into enterprise systems leveraging cloud platforms (AWS Azure GCP).
Stay current with emerging AI/GenAI trends and advise clients on adoption strategies.
Ensure compliance with data privacy ethical AI principles and regulatory standards.
Act as a bridge between nearshore teams and global client stakeholders for alignment and delivery.
Qualifications and Skills:
10 years of IT experience including 5 years in AI/ML solution architecture.
Expertise in machine learning deep learning NLP and GenAI solutions.
Hands-on experience with cloud AI services (AWS Sagemaker Azure ML GCP Vertex AI).
Strong proficiency in Python SQL and distributed data processing (Spark Databricks Ray).
Demonstrated ability to design and deliver enterprise AI solutions at scale.
Excellent English communication skills with the ability to present AI concepts to non-technical audiences.
Role-specific Requirements:
Experience with MLOps frameworks (MLflow Kubeflow SageMaker pipelines DataRobot).
Understanding of microservices APIs and AI application integration.
Knowledge of AI governance compliance and responsible AI frameworks.
Technologies:
Cloud platforms: AWS Azure GCP
AI/ML frameworks: TensorFlow PyTorch Hugging Face LangChain
MLOps: MLflow Kubeflow SageMaker pipelines DataRobot
Data processing: Spark Databricks Ray
Databases: Vector DBs (Pinecone FAISS Weaviate)
Skillset Competencies:
Enterprise AI architecture & delivery
Cloud-native AI/ML development
MLOps and AI lifecycle management
Data governance security and compliance
Technical leadership and cross-team collaboration
GenAI/LLM solution design and adoption
About Encora
Encora is the preferred digital engineering and modernization partner of some of the worlds leading enterprises and digital native companies. With over 9000 experts in 47 offices and innovation labs worldwide Encoras technology practices include Product Engineering & Development Cloud Services Quality Engineering DevSecOps Data & Analytics Digital Experience Cybersecurity and AI & LLM Engineering.
At Encora we hire professionals based solely on their skills and qualifications and do not discriminate based on age disability religion gender sexual orientation socioeconomic status or nationality.
Employment Type
Full Time
