Front End Developer - Angular

Position: Front End Developer - Angular 13+
Job Description
Gen AI Solution Architect

Location: Toronto – Hybrid (3–4 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 (Lang Chain, Llama Index)

• 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

Requirements
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…