AI Architect

Summarized Purpose:

We are seeking an AI Solutions Architect to lead the design, development, and implementation of scalable AI/ML solutions that enable business transformation and operational excellence. This role will collaborate with cross-functional teams to translate business requirements into innovative technical solutions while ensuring alignment with enterprise architecture, security, and compliance standards.

Education/Experience:

• Bachelor’s degree or equivalent in Computer Science, Information Technology, Data Science, or related field

• 7–10 years of experience in software engineering, solution architecture, or AI/ML platform development

• 3+ years of experience designing and implementing AI/ML solutions in enterprise environments preferred

Major Job Responsibilities:

• Design and architect scalable AI/ML solutions and enterprise integrations.

• Collaborate with business stakeholders to identify AI-driven opportunities and use cases.

• Define and drive AI strategy, roadmap, and enterprise AI adoption initiatives.

• Develop architecture standards, frameworks, and best practices for AI solutions.

• Lead implementation of machine learning, generative AI, RAG, and agentic AI applications.

• Design scalable AI platforms, model serving frameworks, and AI infrastructure.

• Define integration patterns for APIs, cloud services, event-driven architectures, and enterprise systems.

• Define architecture patterns for vector databases, semantic search, and LLM optimization.

• Ensure AI solutions meet security, compliance, scalability, performance, and responsible AI requirements.

• Establish AI governance, model lifecycle management, and operational best practices.

• Collaborate with data engineering teams to design scalable data pipelines and AI-enabled data architectures.

• Lead AI projects from ideation through production deployment and operationalization.

• Provide technical leadership and mentor development, engineering, and AI teams.

• Support deployment automation, monitoring, MLOps, and optimization of AI platforms and services.

Knowledge, Skills, and Abilities:

• Strong expertise in AI/ML technologies and enterprise solution architecture.

• Experience with cloud platforms and AI services (AWS, Azure, GCP).

• Deep knowledge of Large Language Models (LLMs), Generative AI, RAG, and AI orchestration frameworks.

• Strong understanding of APIs, microservices, event-driven architectures, and enterprise integration patterns.

• Proficiency in Python and modern AI/ML frameworks.

• Experience designing enterprise AI platforms and production-grade AI systems.

• Strong understanding of vector databases, embeddings, semantic search, and LLM optimization techniques.

• Familiarity with DevOps, MLOps, CI/CD, and Infrastructure as Code (Terraform, CloudFormation, or equivalent).

• Knowledge of AI governance, responsible AI, model risk management, and compliance frameworks.

• Experience with NLP, multimodal AI, and advanced generative AI patterns.

• Excellent analytical, problem-solving, communication, and stakeholder management skills.

Must Have Skills:

• AI/ML solution architecture expertise.

• Experience with generative AI, LLM-based applications, RAG, and agentic AI workflows.

• Cloud platform experience (AWS, Azure, GCP).

• API, microservices, and event-driven architecture design.

• Python programming and AI/ML frameworks (TensorFlow, PyTorch, Hugging Face, or equivalent).

• Strong knowledge of vector databases, embeddings, semantic search, and LLM optimization.

• Experience designing and deploying enterprise AI platforms and production AI systems.

• Experience with DevOps, MLOps, CI/CD pipelines, and model lifecycle management.

• Experience with Infrastructure as Code (Terraform, CloudFormation, or equivalent).

• Strong stakeholder management, technical leadership, and mentoring skills.

• Experience handling PII, data privacy, security, and regulatory compliance requirements.

• Proven ability to lead enterprise-scale AI initiatives from concept through deployment.

Good to Have Skills:

• Experience with custom LLM fine-tuning and model optimization.

• Experience with GraphRAG, Knowledge Graphs, and AI agent frameworks.

• Experience with vector databases and AI search technologies.

• Exposure to data engineering, analytics platforms, and data governance frameworks.

• Experience with containerization and orchestration tools (Docker, Kubernetes).

• Experience with Data Governance and AI Compliance automation.

• AI/ML certifications (AWS Machine Learning Specialty, Azure AI Engineer, Google AI/ML Certifications, etc.).

• Healthcare/Life Sciences domain knowledge preferred.

Working Hours:

• India: 01:00 PM to 10:00 PM IST

• Philippines: 03:30 PM to 12:30 AM PHT