Technical Director - AI/ML

About Giggso

Giggso bridges the divide between strategic AI visions and large-scale enterprise implementation, delivering secure, context-sensitive AI engineering platforms tailored for core business functions such as Sales, Support, and Revenue Operations, along with AI security operations. Moving beyond traditional retrieval-augmented generation (RAG) and static prompts, Giggso transforms unstructured data and complex enterprise ontologies into reliable, audit-compliant AI agents. Their solutions span multi-modal agent architectures, proactive AI red teaming, and stringent security measures to ensure dependable enterprise AI deployment.

Role Overview

We seek an innovative and hands-on Director of AI/ML Architecture to spearhead Giggso's AI technical strategy, system design, and machine learning governance. This senior executive role acts as a strategic bridge between leadership and engineering, setting long-term AI platform blueprints, overseeing architectural standards, and pioneering advancements in multi-agent orchestration, Knowledge Graphs, and AI security.

Key Responsibilities

• Lead multi-year AI/ML technical roadmap development aligned with business objectives, cloud cost efficiencies, and client integration strategies.
• Collaborate with executive leaders to assess emerging AI trends, guide investments, and serve as the chief technical consultant in critical enterprise engagements.
• Design scalable, secure AI infrastructures operating across multi-cloud and hybrid environments for both batch and real-time data processing.
• Develop architectural frameworks for core platform capabilities including advanced GraphRAG techniques, Knowledge Graph ontologies, multi-agent systems, and model fine-tuning workflows.
• Implement design patterns that optimize inference latency, dynamic prompt caching, model deployment, and token usage across high-volume workloads.
• Maintain hands-on involvement through architectural prototyping, design evaluations, and code review of essential framework components.
• Champion AI ethics, data privacy, model governance, and compliance with standards such as SOC2, GDPR, and ISO 42001 while instituting defenses against prompt injection, jailbreaking, and data breaches.
• Standardize lifecycle management of MLOps including continual automated evaluations, prompt version control, model registries, drift detection, and automatic failover mechanisms.
• Lead and mentor AI/ML technical leads, principal architects, and senior engineers across distributed teams.
• Promote a rigorous engineering culture focused on agile iteration, research-driven development, security, and production stability.

Required Qualifications

• Minimum 8 years of progressive software engineering and architecture experience, including at least 3 years in leadership roles delivering scalable AI solutions.
• Strong commercial insight managing cloud computing budgets, optimizing AI inference economics, and articulating technical strategies to executive stakeholders.
• Proficient in Python and frameworks such as FastAPI, PyDantic, and PyTorch along with enterprise cloud platforms like AWS Bedrock/SageMaker, Google Cloud Vertex AI, and Azure OpenAI services.
• Hands-on experience with multi-agent orchestration frameworks (LangGraph, AutoGen, CrewAI, LangChain), vector databases (Qdrant, Pinecone, Milvus, Weaviate), and Knowledge Graph technologies (Neo4j, RDF/OWL, ontologies).
• Expertise in AI security including guardrail implementations, adversarial prompt testing, red teaming approaches, and evaluation tools such as RAGAS and TruLens.
• Mastery in infrastructure and system design involving microservices, event-driven architectures, Kubernetes, Docker, and enterprise MLOps CI/CD pipelines.
• Academic background with a Master’s or Ph.D. in Computer Science, Artificial Intelligence, Data Science, or a related quantitative discipline, or equivalent industry experience.
• Preferred certifications include cloud and AI credentials like AWS Certified Machine Learning Specialty, GCP Professional ML Engineer, Azure AI Engineer, or executive AI programs from reputed institutions.

Why Join Giggso?

• Drive innovation by architecting next-gen Knowledge Graph and Agentic AI systems that address complex enterprise problems.
• Enjoy direct interaction with C-level executives and shape overarching AI technical strategies.
• Be part of a forward-thinking engineering team focused on creating trustworthy and audit-ready AI infrastructure.