AIML Architect

We are seeking a visionary AI/ML Architect to lead the design and delivery of next-generation AI/ML systems that align with business objectives, technical excellence, and platform scalability.

Key Responsibilities

Strategic & Technical Leadership

• Define and drive the AI/ML architecture vision across enterprise projects, ensuring alignment with business goals and the AiDE platforms capabilities.
• Design and implement scalable, secure, and maintainable AI/ML systems using a blend of commercial, open-source, and custom LLMs optimized for cost, performance, and quality.
• Lead the evaluation, selection, and integration of LLMs and AI models into the AiDE Fabric, including fine-tuning, evaluation pipelines, and inference optimization.
• Establish AI governance standards, model lifecycle management, and compliance frameworks (including PII/PHI protection, SOC 2 Type II requirements).

Platform Integration & Innovation

• Architect AI-driven solutions using AiDE Explain, AiDE Upgrade, AiDE Migrate, and AiDE Impact Based Testing to accelerate development, reduce technical debt, and improve system maintainability.
• Enable seamless integration of AI/ML components with existing enterprise stacks (e.g., React, Java, .NET, Salesforce, Azure, Kubernetes).
• Drive the adoption of agentic workflows across development, QA, and operations teams using AiDE's Jira/Azure DevOps integration and automated task orchestration.

Cross-Functional Collaboration

• Partner with product, engineering, QA, and security teams to co-design AI-powered features and automate complex workflows.
• Mentor senior engineers and lead technical discussions on AI/ML best practices, model interpretability, and ethical AI.
• Champion the use of AiDE Idea to Launch and AiDE Design to Code to accelerate MVP delivery and innovation cycles.

Research & Development

• Stay ahead of advancements in generative AI, agentic systems, and LLM fine-tuning; prototype and pilot new use cases on the AiDE platform.
• Publish technical insights and contribute to internal knowledge base, including architecture diagrams, dependency maps, and solution overviews via AiDE Explain.

Qualifications & Skills

Required

• Bachelor's or Master's degree in Computer Science, AI, Data Science, or related field.
• 8+ years of experience in software engineering, with 5+ years focused on AI/ML system design and implementation.
• Proven experience in designing and deploying large-scale AI/ML systems in enterprise environments.
• Deep expertise in LLM architectures, prompt engineering, fine-tuning, evaluation frameworks, and inference optimization.
• Hands-on experience with model deployment, monitoring, and versioning (e.g., MLflow, Kubeflow, SageMaker).
• Strong understanding of AI security, data privacy, and compliance (GDPR, HIPAA, SOC 2).
• Experience with agentic workflows, multi-agent systems, and autonomous AI agents is a plus.
• Familiarity with AiDE platform components (e.g., AiDE Fabric, AiDE Explain, AiDE Upgrade) is highly desirable.

Preferred

• Experience with custom LLM training, RAG architectures, and vector databases (e.g., Pinecone, Weaviate).
• Background in automated testing, CI/CD pipelines, and DevOps integration (Azure DevOps, Jenkins).
• Knowledge of UML, sequence diagrams, and architecture documentation — especially using tools like AiDE Explain.
• Public contributions to AI/ML research, open-source projects, or technical publications.