Senior Systems Integrator Lead

About the Role

Senior Systems Integrator Lead

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