About the Role We're seeking an experienced Senior Systems Integrator Lead to spearhead the integration of our cutting-edge LLM solutions with diverse enterprise systems. This is a technical leadership role where you'll be hands-on in architecting, building, and deploying complex integration solutions while providing guidance and mentorship to a team of engineers. You'll be at the forefront of connecting disparate systems, orchestrating seamless LLM integrations, and establishing best practices for AI-driven system architecture. The ideal candidate combines deep technical expertise in systems integration with proven leadership capabilities and extensive experience in LLM/Generative AI implementations. Key Responsibilities Technical Leadership & Team Guidance Lead Integration Architecture: Design and oversee complex, multi-system integration strategies that seamlessly connect LLM solutions with existing enterprise infrastructure Team Technical Guidance: Mentor and guide development teams on integration best practices, code architecture patterns, and LLM implementation strategies Hands-on Development: Remain technically hands-on, writing code, conducting code reviews, and troubleshooting complex integration challenges Standards & Best Practices: Establish and enforce integration standards, development workflows, and quality assurance processes LLM & AI Integration Expertise Advanced LLM Integration: Design and implement sophisticated integration patterns for various LLM providers (OpenAI, Anthropic, Azure OpenAI, AWS Bedrock, etc.) AI Pipeline Architecture: Build robust, scalable pipelines for prompt engineering, response processing, and model orchestration Performance Optimization: Optimize LLM integration performance including token management, caching strategies, and response time optimization Multi-modal AI Integration: Integrate text, image, and other AI modalities into existing business workflows Systems Integration & Architecture Enterprise Integration Patterns: Implement complex integration solutions using APIs, message queues, ETL/ELT pipelines, and event-driven architectures Microservices Architecture: Design and maintain microservices-based integration layers with proper service mesh, API gateway, and monitoring implementations Cloud-Native Solutions: Architect cloud-native integration solutions leveraging containers, serverless functions, and managed services Data Flow Management: Ensure secure, efficient data flow between systems while maintaining data integrity and compliance requirements Full-Stack Development & UI Integration React.js Applications: Build sophisticated front-end applications using React.js that interface with LLM backends and integrated enterprise systems API Development: Design and implement RESTful and GraphQL APIs that serve as integration points between systems Real-time Features: Implement real-time capabilities for AI interactions using WebSockets, Server-Sent Events, or similar technologies Collaboration & Communication Cross-functional Leadership: Work with product managers, data scientists, DevOps teams, and business stakeholders to translate requirements into technical solutions Technical Documentation: Create comprehensive architecture documentation, integration guides, and system design specifications Knowledge Sharing: Conduct technical sessions, workshops, and knowledge transfer meetings with team members and stakeholders Key Experiences Experience & Leadership 6-8+ years of systems integration experience with 2+ years in technical leadership roles Proven team leadership experience including mentoring junior developers and leading technical initiatives 3+ years hands-on experience with LLM integration, Generative AI implementations, and AI/ML pipeline development Technical Skills LLM Integration Expertise: Deep experience with major LLM providers' APIs, prompt engineering, fine-tuning, and deployment strategies Integration Technologies: Advanced knowledge of REST/GraphQL APIs, message brokers (Kafka, RabbitMQ), ETL tools, and integration platforms Cloud Platforms: Proficiency with AWS, Azure, or GCP, including serverless architectures, container orchestration, and managed AI services React.js Mastery: Strong expertise in React.js, modern JavaScript (ES6+), TypeScript, and state management libraries Database Integration: Experience with both SQL and NoSQL databases, data modeling, and database integration patterns DevOps & Monitoring: Knowledge of CI/CD pipelines, containerization (Docker/Kubernetes), and observability tools Architecture & Design Software Architecture: Strong understanding of microservices, event-driven architectures, and distributed system design patterns Security & Compliance: Knowledge of API security, data encryption, and compliance frameworks (SOC2, GDPR, etc.) Performance Engineering: Experience in system performance optimization, load balancing, and scalability planning Soft Skills Technical Communication: Excellent ability to communicate complex technical concepts to both technical and business stakeholders Problem-Solving: Strong analytical and troubleshooting skills with a solutions-oriented mindset Adaptability: Comfortable working in fast-paced environments with evolving requirements and emerging technologies Preferred Experience Experience with vector databases and semantic search implementations Knowledge of prompt engineering frameworks and AI agent architectures Background in enterprise software integration (SAP, Salesforce, ServiceNow, etc.) Experience with infrastructure-as-code (Terraform, CloudFormation) Previous experience in AI/ML product development or consulting What You'll Bring to the Team Technical expertise that can tackle the most complex integration challenges Leadership skills to guide and grow a high-performing engineering team Strategic thinking to align technical solutions with business objectives Hands-on mentality with the ability to dive deep into code when needed Innovation mindset to explore and implement cutting-edge AI integration patterns
