Front End Developer Angular 13+
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Experience Required:
Posted on:
13 hours ago
Vacancies:
1 Vacancy
Job Summary
Gen AI Solution Architect
Location: Toronto Hybrid (34 days WFO)
Role Overview
We are seeking an experienced Gen AI Solution Architect to design build and deploy reusable Generative AI modules across enterprise applications. The role combines technical leadership product strategy and adoption enablement with a focus on LLM integration RAG workflows and scalable AI solutions.
The ideal candidate has deep experience in LLM/ML engineering software architecture API design and enterprise platform development. This role will define product roadmaps establish standards for Gen AI module reuse and drive adoption across teams.
Key Responsibilities
Product Roadmap & Modular Design
Define the product vision and roadmap for reusable Gen AI modules (e.g. RAG prompting frameworks hybrid ML/LLM systems)
Architect parameterized business-agnostic solutions that abstract complexity (pre-configured prompts vector DB connectors chunking logic)
Design APIs and microservices to expose modules as reusable components (e.g. text-to-SQL service RAG-as-a-service)
Technical Leadership
Standardize patterns across use cases (prompt templates chunking strategies few-shot training pipelines)
Integrate LLM workflows (OpenAI Claude LLaMA 2) with traditional ML (clustering classification) and enterprise systems
Optimize Gen AI component performance (cost latency accuracy) and ensure scalability (e.g. load balancing for vector DBs)
Adoption Enablement
Develop documentation tutorials and sandbox environments for testing modules
Train teams on best practices such as prompt engineering and security for LLM outputs
Metrics & Tracking
Track module reuse rate contribution volume and time-to-deploy for new use cases
Required Skills
Technical Expertise
Hands-on experience with LLM integration (OpenAI Anthropic LLaMA 2) and frameworks (LangChain LlamaIndex)
Expertise in RAG workflows document chunking (sentence transformers) vector DBs (Pinecone FAISS) and hybrid search
Familiarity with text-to-SQL systems few-shot / chain-of-thought prompting and traditional ML (scikit-learn PyTorch)
Software engineering proficiency in Python API design (FastAPI Flask) and cloud platforms (AWS Sagemaker Azure AI)
Experience with CI/CD pipelines containerization (Docker) and infrastructure-as-code (Terraform)
UI Integration Skills
Frontend integration using React or Streamlit for configuration UIs
Middleware integration with message queues and authentication systems (e.g. R2D2)
Product Strategy
Proven track record of building reusable ML/AI APIs or internal platforms
Ability to define product roadmaps and influence adoption across enterprise teams
Core Competencies
Generative AI / LLM architecture
RAG & hybrid ML workflows
API & microservices design
Enterprise AI platform strategy
Cloud-based AI solution deployment
Technical leadership & mentoring
Documentation & adoption enablement
Required Skills:
Experience (Years): 4-6 Essential Skills: Work with project teams throughout the organization to design implement and manage CDN infrastructure using Akamai to ensure high availability performance and scalability for customer facing applications and business processes. Handle multiple priorities and assignments with excellence and precision. Be a part of a 24/7/365 organization (some after hours support is expected as part of normal on-call rotation). Directly support line of business development teams provide guidance to them on implementation and changes for customer facing applications Develop and maintain security protocols and measures to protect CDN infrastructure from cyber threats. Monitor and analyze network performance identifying and resolving issues to optimize content delivery of critical applications. Collaborate with cross-functional teams to integrate Akamai CDN solutions with existing systems and applications. Collaborate with information security teams to implement DDoS protection strategies and other security measures in the CDN. Provide technical support and guidance to clients and internal teams regarding CDN and security best practices. Work closely with vendor and professional service teams on delivery related activities and strategy. Qualifications: Bachelors degree in Computer Science Information Technology or a related field. OR similar work experience. Strong understanding of network protocols (HTTP/HTTPS DNS TCP/IP). Proven experience as a CDN Engineer or similar role with a strong focus on -depth knowledge of Content Delivery Network technologies including caching load balancing and content optimization. Excellent problem-solving skills and attention to detail. Strong communication and teamwork abilities. Experience supporting 24/7/365 customer facing applications at enterprise scale. Awareness and experience with cybersecurity tools and practices such as firewalls intrusion detection/prevention systems and encryption. Proficiency in scripting and automation (e.g. Python Bash) a plus. Relevant certifications (e.g. CISSP CEH) are a plus but not required.
Company Industry
IT Services and IT Consulting
Key Skills
- Bootstrap
- CSS
- Front-End Development
- HTML5
- React
- Redux
- Node.js
- Angular
- Less
- JavaScript
- backbone.js
- Sass
