Architect Artificial Intelligence / Machine Learning Engineer

Description Ciklum; Canada; On-site; CAD 120,000 - 160,000; Full time

Job summary

A leading tech firm in Canada is seeking an AI Architect/Machine Learning Engineer to craft innovative AI systems. You will lead the design and deployment of advanced AI solutions, ensuring compliance and security. The ideal candidate has over 10 years in software engineering and specific expertise in AI architecture and MLOps. This full-time role offers exciting challenges and the chance to work with cutting-edge technologies while collaborating with diverse teams.

Benefits

Healthcare

Company-paid certifications

Growth opportunities

Qualifications

• 10+ years of experience in software or data engineering, with 4-5 years in AI/ML architecture.
• Deep understanding of probability, statistics, and machine learning.
• Experience managing AI programs across domains.

Responsibilities

• Lead the design of enterprise AI systems.
• Architect scalable AI pipelines and applications.
• Ensure compliance with security and privacy standards.

Skills

AI Platform

OpenAI

Python

MLOps

AI Engineering

Education

BSc, MSc, or PhD in Computer Science, Mathematics, Engineering

Tools

Cloud-native AI platforms (AWS SageMaker, Azure ML)

PyTorch

TensorFlow

Job description

Architect Artificial Intelligence/Machine Learning Engineer

Job Description

Ciklumis looking for a AI Architect/Machine Learning Engineerto join our team full-time in Canada.

We are a custom product engineering company that supports both multinational organizations and scaling startups to solve their most complex business challenges. With a global team of over 4,000 highly skilled developers, consultants, analysts and product owners, we engineer technology that redefines industries and shapes the way people live.

Project Description:

We are seeking an AI Architect to lead the design of next-generation enterprise AI systems centered on Agentic AI, advanced RAG patterns, multimodal model integration, and secure orchestration frameworks. This role focuses entirely on model integration, inference optimization, safety, orchestration, document ingestion, evaluation, and architecture. The architect will drive standards for multi-agent orchestration, tool calling, governance, and design patterns across business and engineering teams.

Responsibilities:

• Contribute defining and evolving Ciklum’s AI Engineering strategy, frameworks and best practices across clients and internal initiatives
• Being able to manage senior stakeholders at Director Level or above levels
• Understand vision and roadmap and develop AI solutions in accordance
• Lead the design, development and deployment of advanced AI systems across Data Science and AI Engineering domains
• Architect and lead implementation of scalable AI pipelines and LLM-driven applications, including retrieval-augmented generation (RAG)
• Contribute hands-on development activities, from experimentation and prototyping to production-grade
• Collaborate with cross-functional engineering, data and product teams to align technical solutions with clients and their business objectives
• Apply MLOps and LLMOps best practices for CI/CD, observability, evaluation and continuous improvement of AI models and pipelines
• Integrate AI services with enterprise platforms (e.g., Confluence, Jira, GitHub, CRM, ERP) and ensure seamless interoperability
• Drive innovation through internal frameworks and accelerators
• Ensure all AI solutions comply with security, data privacy and responsible-AI standards
• Commercial / Presales:Drive technical leadership in presales engagements, shaping AI strategies and architectures that align with client business objective

Requirements:

We know that sometimes, you can’t tick every box. We would still love to hear from you if you think you’re a good fit!

General technical requirements:

10+ years of professional experience in software or data engineering, including at least 4–5 years in AI/ML solution architecture or AI leadership roles

Demonstrated experience leading cross-functional AI programs or large-scale AI solution deliveries

• BSc, MSc, or PhD in Computer Science, Mathematics, Engineering or a related quantitative field
• Deep understanding of probability, statistics and the mathematical foundations of machine learning and optimization
• Proven experience architecting and scaling enterprise-grade AI systems, including LLM-driven and multimodal solutions, across production environments
• Experience defining AI system blueprints, reference architectures, and integration patterns across multiple domains and client ecosystems
• Exposure to agentic system design, retrieval-augmented generation (RAG) and prompt engineering techniques
• Strong proficiency in Python and common AI/ML development frameworks (e.g., PyTorch, TensorFlow, LangChain,Lang Graph, Hugging Face or equivalent)
• Solid understanding of modern AI engineering practices, including model lifecycle management, observability, evaluation, versioning and continuous improvement
• Familiarity with AI solution delivery methodologies (e.g., CRISP-ML(Q), TDSP or modern agile ML lifecycles)
• Ability to visualize, interpret, and communicate model outputs and insights effectively using modern tools and dashboards

Specific technical requirements:

• Proven experience in architecting and implementing end-to-end AI/ML solutions — from data ingestion and model training to deployment, monitoring and optimization
• Strong software engineering skills for AI system development, including data processing, API integration, and model serving
• Hands-on experience with cloud-native AI platforms and services (AWS SageMaker, Amazon Bedrock, Azure ML, GCP Vertex AI or NVIDIA AI stack)
• Experience with diverse data modalities (structured, text, image, audio, video) and multimodal models
• Understanding of security, data governance and compliance considerations in AI system design
• Ability to advise on AI opportunity assessment, ROI modeling and transformation strategies
• Experience designing AI governance frameworks and compliance strategies in highly regulated industries
• Broad exposure to enterprise-scale AI solution design across industries such as BFSI, Healthcare, Aerospace, Manufacturing, Energy, Telecom or Technology sectors
• Proven ability to translate business and operational requirements into robust AI system architectures that deliver measurable impact
• Familiarity with challenges of deploying AI in regulated environments and ensuring compliance with data privacy and protection frameworks (e.g., GDPR, CCPA, PCI DSS)
• Experience managing sensitive or high-value data (PII, PHI), implementing strong security, governance and access control mechanisms
• Understanding of enterprise data ecosystems and integration patterns (CRM, ERP, knowledge management or workflow systems)

Business-related requirements:

• Strong executive communication and storytelling ability, capable of influencing technical and business audiences alike
• Proven record of representing organizations in external speaking engagements, conferences, or public panels
• Demonstrated experience driving innovation initiatives and contributing to organizational AI strategy
• Proven experience delivering production-grade AI solutions that achieve measurable business and operational outcomes
• Strong ownership of the full AI engineering lifecycle — from problem framing and architecture design to deployment, optimization, and continuous improvement
• Ability to align technical decisions with business priorities, ensuring scalability, reliability, and measurable value from AI initiatives
• Excellent collaboration and communication skills to work effectively with cross-functional stakeholders, delivery teams, and clients
• degree of autonomy, accountability, and attention to detail in managing complex, multi-component AI systems
• Track record of AI thought leadership through publications, blogs, podcasts or open-source contributions
• Recognized presence in professional or academic AI communities (e.g., conferences, research collaborations)
• Experience building and scaling internal AI centers of excellence or practice communities
• Strong background in software or solution architecture, ideally with previous experience as a Software or Data Architect
• Proven ability to design scalable, distributed, and fault-tolerant AI architectures, integrating APIs, microservices, and event-driven components
• Experience with MLOps and LLMOps practices, including pipeline automation, containerization (Docker, Kubernetes), and continuous deployment of AI models
• Deep learning expertise using TensorFlow, PyTorch, or JAX, including fine-tuning and optimization of large models
• Hands-on experience with Large Language Models (LLMs), Generative AI applications, and agentic or RAG-based systems
• Advanced SQL and familiarity with modern data platforms (Databricks, Snowflake, or equivalent)
• Experience with Big Data and streaming frameworks (Apache Spark, Kafka, Flink, etc.)
• Understanding of NoSQL and graph databases (e.g., Cassandra, Neo4j) and their role in AI knowledge management
• Experience with cloud-native architectures and certified expertise in AWS, Azure, or GCP AI/ML services
• Exposure to research or innovation projects, with publications or open-source contributions considered an advantage

What`s in it for you?

• Strong community: Work alongside top professionals in a friendly, open-door environment
• Growth focus: Take on large-scale projects with a global impact and expand your expertise
• Tailored learning: Boost your skills with internal events (meetups, conferences, workshops), Udemy access, language courses, and company-paid certifications
• Endless opportunities: Explore diverse domains through internal mobility, finding the best fit to gain hands-on experience with cutting-edge technologies
• Care: Healthcare, Basic Life Insurance, Short and Long-term disability insurance according to the Company’s Benefit Plans

About us:

At Ciklum, we are always exploring innovations, empowering each other to achieve more, and engineering solutions that matter. With us, you’ll work with cutting-edge technologies, contribute to impactful projects, and be part of a One Team culture that values collaboration and progress. In the US, Ciklum is growing fast—inviting experienced professionals to lead digital transformation alongside Fortune 500 clients. Be part of a company where innovation and impact go hand in hand.

Interested already? We would love to get to know you! Submit your application. We can’t wait to see you at Ciklum.

Required Skills

• AI Platform
• OpenAI

Job Info

• Job Identification 1683
• Job Category Data Science and Machine Learning