AI Architect

Important Information:

• Years of Experience: 10+ years in IT, with at least 5 years in AI/ML architecture and solution delivery

Job Mode: Fulltime

• 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.
• 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.
• Cloud platforms: AWS, Azure, GCP
• 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.
• 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.
• Cloud platforms: AWS, Azure, GCP

Role-Specific Requirements:

Technologies:

• 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)
• Enterprise AI architecture & delivery
• MLOps and AI lifecycle management
• Data governance, security, and compliance
• Technical leadership and cross-team collaboration
• 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)
• Enterprise AI architecture & delivery
• MLOps and AI lifecycle management
• Data governance, security, and compliance
• Technical leadership and cross-team collaboration

Skillset Competencies:

• Cloud-Native Ai/Ml Development

• GenAI/LLM solution design and adoption

About Encora
Encora is the preferred digital engineering and modernization partner of some of the world’s leading enterprises and digital native companies. With over 9,000 experts in 47+ offices and innovation labs worldwide, Encora’s 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.