• Design, build, deliver and maintain AI software applications & services. Working in the areas of AI, cloud, platforms and/or application. Responsible for full software lifecycle including activities such as requirement analysis, documentation/procedures, implementation, and bug fixing.

• Establish AI architecture and technical vision across products.

• Lead cross-team initiatives with product and data science.

• Design RAG and agent workflows; optimize LLM integrations.

• Build multi-tenant, high-availability systems with observability.

• Establish AI cost management, monitoring, and security standards

• Stay informed of AI industry trends and guide teams to upskill on best practices.
• Communicate strategy and direction of AI application delivery to relevant stakeholders.
• Lead functional teams or projects with minimal resource requirements, risk, and/or complexity. Communicates difficult concepts and influence others' options on particular topics. Guide others to consider a different point of view.

Required Qualifications

• Bachelor’s degree in Computer Science, Computer Engineering, or related technical field.

• 10+ years of programming experience in a relevant language using modern front-end frameworks (React, Vue, or Angular) and multiple backend languages (Python preferred, Java, Node.js or Go).

• Proven track record designing and shipping production applications that incorporate LLMs or AI services at scale.

• Experience with vector databases (e.g. Milvus, Pinecone, Weaviate, pgvector) and advanced embedding model optimization in production applications.

• Expertise with multiple LLM providers and advanced AI orchestration frameworks (LangChain, LlamaIndex, custom frameworks).

• Extensive experience leading technical teams, driving cross-team initiatives, and providing technical mentorship.

• Expert-level experience with cloud platforms (AWS, GCP, or Azure) and advanced containerization (EKS).

• Strong oral and written communication skills. Strong interpersonal and leadership skills. Demonstrated ability to analyze and resolve problems. Demonstrated ability to lead programs / projects. Ability to document, plan, market, and execute programs.

Desired Characteristics

• 15+ years of full software development lifecycle experience, including architecture design, technical leadership, and large-scale system optimization.

• Advanced understanding of enterprise RAG architectures, semantic search optimization, and conversation memory management at massive scale.

• Experience with multi-modal AI integration, model fine-tuning, and deployment of custom AI models.

• Experience with AI observability tools, cost optimization strategies, and performance monitoring at enterprise scale.

• Experience with cross-organizational collaboration and influencing other teams’ directions and road maps.

• Experience with technical strategy development and technology roadmap planning.