Copy of AI Architect for GLobal HEalthcare Company at Encora

, , Mexico -

Full Time

Start Date

Immediate

Expiry Date

29 Dec, 25

Salary

0.0

Posted On

30 Sep, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AI Architecture, Machine Learning, Deep Learning, NLP, GenAI, Cloud Platforms, Python, SQL, Data Processing, MLOps, AI Governance, Technical Leadership, Cross-Team Collaboration, Enterprise AI Solutions, AI Integration, Data Privacy, Ethical AI

Industry

IT Services and IT Consulting

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 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.

Responsibilities

Lead the architecture and design of AI/ML platforms and solutions, ensuring scalability, security, and performance. Collaborate with stakeholders to identify AI/ML opportunities and define adoption roadmaps.