We are seeking a highly experienced and innovative Technical Architect with 10-15 years of experience to design, lead, and implement our next-generation AI and software solutions. The ideal candidate will have a strong background in software development, exceptional client-facing skills, and a deep, hands-on understanding of emerging AI technologies, including Generative AI and agentic frameworks.
Responsibilities
- Architectural Leadership: Design and lead the development of complex, scalable, and resilient technical architectures for our software and AI-driven systems.
- Generative AI Strategy: Define the technical roadmap for integrating Generative AI capabilities into products and services, including model selection, fine-tuning, and deployment strategies.
- Agentic Systems Design: Architect and implement multi-agent systems using frameworks like Crew AI, designing roles, tools, and communication protocols for autonomous and collaborative AI agents.
- MCP Expertise: Leverage the Model Context Protocol (MCP) to architect client-server systems. Design and build MCP servers to expose data and tools, and develop client agents that can seamlessly interact with these servers to access context and execute tasks.
- Hands-on Coding: Maintain a strong coding presence. You will be responsible for building key components, leading by example in code quality, and conducting technical reviews.
- Client & Stakeholder Communication: Serve as a primary technical point of contact for clients. Translate complex technical concepts into clear, concise business solutions and manage expectations throughout the project lifecycle.
- Mentorship and Governance: Provide technical guidance and mentorship to development teams, ensuring adherence to best practices, coding standards, and architectural principles.
Required Skills & Qualifications
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
- 10-15 years of experience in software development and technical architecture.
- Extensive hands-on coding experience in a major language such as Python, Java, or Go.
- Demonstrated expertise in Generative AI, including experience with Large Language Models (LLMs), model APIs (e.g., OpenAI, Anthropic), and concepts like RAG (Retrieval-Augmented Generation).
- In-depth knowledge of agentic frameworks, with proven experience in designing and building multi-agent systems, particularly with Crew AI.
- Practical experience with the Model Context Protocol (MCP), including the design and implementation of both servers and client agents to enable context-aware AI applications.
- Exceptional ability to communicate, present, and negotiate with technical teams and non-technical clients and business stakeholders.
- Strong understanding of software development methodologies (e.g., Agile, DevOps) and experience with CI/CD pipelines.
- Experience with cloud platforms (e.g., AWS, Azure, GCP) and architecting cloud-native solutions.