Architect / Principal, AI ML Engineer
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Job Description
AI/ML Architect directing AI initiatives and aligning them with business goals in a tech-focused environment.
Responsibilities:
- Define end-to-end architecture for AI/ML and Gen AI, Agentic AI, MCP systems including data pipelines, model training/inference, and MLOps
- Serve as a strategic advisor / consultant to clients, leading solution design discussions
- 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
- Design retrieval-augmented generation (RAG) systems with vector databases
- Guide teams on MLOps frameworks for CI/CD, model versioning, monitoring, and automated retraining
- Evaluate emerging technologies and trends in AI, ML, Gen AI, Agentic AI space
- Mentor technical teams and guide solution architects, AI/ML engineers
- Ensure ethical and responsible AI practices
Requirements:
- Master’s degree in Computer Science, Engineering, Mathematics, or a related field with 15+ years of industry experience
- Strong grasp of AI architecture patterns (RAG, Agent AI, MCP 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
Benefits:
- Flexible work environment
- Global team learning opportunities
- Well-being focus with fitness and mental health plans
- Accelerated career growth and development opportunities
- Equal opportunity employer with commitment to diversity
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