Are you an experienced leader passionate about leveraging AI to drive change? Do you excel in collaborating with cross-functional teams to strategically embed AI capabilities in existing software solutions?
MindBridge is seeking an experienced AI Architect to join our team. Reporting to the CTO, you will lead the architectural design and technical strategy for agentic AI capabilities in the MindBridge platform. You will define scalable, secure, and high-performance architectures, collaborating closely with Developers, UX/UI Designers, and other stakeholders to deliver impactful, innovative AI solutions.

REQUIREMENTS

• Design scalable, secure, and maintainable AI and cloud-based solutions
• Establish architectural frameworks, technical standards, and governance best practices for agentic AI development
• Create and maintain technical roadmaps for AI implementation
• Lead a team to deliver key agentic AI capabilities and prototypes
• Provide architectural oversight and technical direction for complex AI projects
• Review and approve designs, identifying and mitigating architectural risks
• Evaluate and recommend emerging technologies, tools, and frameworks for AI
• Collaborate with development teams to ensure compliance with architecture and technical excellence
• Produce detailed architecture documentation and technical specifications
• Implement MLOps best practices and ethical AI governance practices around the agentic AI framework

Desired Skills & Experience

• Bachelor’s or Master’s degree in Business, Engineering, Computer Science, or a related field
• 7+ years of software development, with at least 2 years in developing and deploying AI/ML solutions, particularly generative AI models
• Expertise in AI/ML frameworks (e.g., TensorFlow, PyTorch, Hugging Face, LangChain, OpenAI)
• Experience with LLMs and generative AI, including prompt engineering and RAG techniques
• Hands-on with model deployment and fine-tuning
• Strong cloud architecture and microservices design experience
• Proficient in backend development (Python, Java), RESTful APIs, and event-driven architectures
• Skilled in distributed systems, containerization (Docker, Kubernetes), and orchestration tools
• Deep knowledge of cloud platforms, Kubernetes, object storage, and CI/CD pipelines
• Strong background in cloud security, compliance, and data protection best practices
• Excellent verbal and written communication skills, with the ability to convey complex technical concepts to diverse audiences
• High level of accuracy and attention to detail in all aspects of development and documentation
• Proven track record in large-scale AI solution implementation
• Understanding of AI governance and responsible AI principles
• Familiarity with emerging AI technologies and architectural patterns

Requirements contingent on employment:

• Fulfill requirements necessary to obtain full background check.

Please refer the Job description for details