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 (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

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 service teams on delivery related activities and strategy. Qualifications :
• Bachelor’s 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 cybersecurity.
• In-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.