Associate Director - AI Architect

JOB SUMMARY

This role will spearhead the design and architecture of our next-generation intelligent agent systems and solutions, leveraging the power of generative AI. As a key technical architect, you will be responsible for crafting the blueprint for autonomous, adaptive AI agents capable of reasoning, planning, learning, and acting within complex environments to achieve specific objectives. You will work closely with product managers, AI engineers, and business stakeholders to transform business requirements into robust, scalable, and ethical AI solutions. This position demands a profound understanding of generative AI models, agentic frameworks, software architecture principles, and the ability to navigate the rapidly evolving landscape of artificial intelligence.

ESSENTIAL RESPONSIBILITIES

· Defining the architectural vision and strategy for agentic AI solutions

· Designing end-to-end architectures for agentic AI systems, including generative AI model integration

· Guiding the integration of agentic AI solutions with existing systems and defining integration standards

· Establishing architectural patterns and best practices for building scalable and reliable agentic AI

· Collaborating with engineering and product teams to ensure architectural alignment and provide guidance

· Evaluating emerging AI and agentic technologies and their potential architectural impact

· Overseeing the design and implementation of data pipelines and infrastructure required for agentic AI

· Other duties as assigned or requested

EXPERIENCE REQUIRED

· Extensive Software Solution Architecture experience designing, developing, testing, and deploying robust and scalable software applications, with a focus on AI/ML solutions

· Experience in designing solutions leveraging large language models (LLMs) and generative AI

· Experience with Architecting and designing AI agent systems or similar autonomous systems

· Experience with Designing robust data architectures to support AI/ML workflows and agentic systems

SKILLS

· Strong knowledge of large language models (LLMs), their capabilities, limitations, and application in agentic systems.

· Strong understanding of agentic AI concepts, including planning, reasoning, memory, and action execution.

· Strong understanding of software architecture principles, design patterns, and system integration methodologies.

· Expertise in designing and building RESTful APIs and microservices for AI/ML integration.

· Proficiency in one or more major programming languages (Python strongly preferred) and software development best practices.

· Experience with prompt engineering and fine-tuning of large language models for specific tasks.

· Familiarity with MLOps principles and tools for deploying, monitoring, and managing AI models and agentic systems in production.

· Excellent communication and collaboration skills, with the ability to articulate complex technical concepts to diverse audiences.

· Strong problem-solving and analytical skills, Leadership and influencing skills to guide technical direction.

· Ability to think strategically and holistically about complex systems